Stock_trading_v3.0141.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STOCK TRADING\n",
    "\n",
    "Stock trading agent based on Deep Neuro Evolution\n",
    "\n",
    "* Using state as:\n",
    "    * Close (detrend)\n",
    "    * Open (detrend)\n",
    "    * High (detrend)\n",
    "    * Low (detrend)\n",
    "    * CNN Classifier for buy and sell (10 window)\n",
    "    * RSI n MACD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import gym\n",
    "import math\n",
    "import argparse\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import json\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm\n",
    "\n",
    "from GA.ga import GeneticNetworks\n",
    "\n",
    "from keras.backend.tensorflow_backend import set_session\n",
    "from keras.utils import to_categorical\n",
    "\n",
    "from core.technical_analysis import add_technical_indicators_with_intervals\n",
    "\n",
    "from core.market_env_v1 import MarketEnvironmentV1\n",
    "from utils.networks import get_session\n",
    "\n",
    "from cnn_prediction.cnn_data_loader_buy_sell import CNNDataLoaderBuySell\n",
    "from cnn_prediction.cnn_model import CNNModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "gym.logger.set_level(40)\n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "configs = json.load(open('config-EURUSD-30M_v3.0141.json', 'r'))\n",
    "detrend = configs['agent']['detrend']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = pd.read_csv(configs['agent']['data'])\n",
    "df_test = pd.read_csv(configs['agent']['test_data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = add_technical_indicators_with_intervals(\n",
    "    df_train, \n",
    "    indicators=configs['agent']['technical_indicators'], \n",
    "    intervals=configs['agent']['intervals']\n",
    ")\n",
    "df_test = add_technical_indicators_with_intervals(\n",
    "    df_test, \n",
    "    indicators=configs['agent']['technical_indicators'], \n",
    "    intervals=configs['agent']['intervals']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Close_detrend',\n",
       " 'Open_detrend',\n",
       " 'High_detrend',\n",
       " 'Low_detrend',\n",
       " 'CNNClassifier_hold',\n",
       " 'CNNClassifier_buy',\n",
       " 'CNNClassifier_sell',\n",
       " 'MACDhist_3',\n",
       " 'MACDhist_5',\n",
       " 'MACDhist_9',\n",
       " 'MACDhist_14',\n",
       " 'RSI_3',\n",
       " 'RSI_5',\n",
       " 'RSI_9',\n",
       " 'RSI_14']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = []\n",
    "# Add detrend OHLC\n",
    "if detrend:\n",
    "    for col in [a for a in configs['agent']['cols'] if configs['agent']['cols'][a][\"detrend\"]]:\n",
    "        cols.append(col + '_detrend')\n",
    "    for col in [a for a in configs['agent']['cols'] if not configs['agent']['cols'][a][\"detrend\"]]:\n",
    "        cols.append(col)\n",
    "# Add technical indicators\n",
    "for indicator in configs['agent']['technical_indicators']:\n",
    "    for interval in configs['agent']['intervals']:\n",
    "        cols.append(indicator + '_' + str(interval))\n",
    "cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add detrended values to df\n",
    "if detrend:\n",
    "    for col in [a for a in configs['agent']['cols'] if configs['agent']['cols'][a][\"detrend\"]]:\n",
    "        df_train[col + '_detrend'] = df_train.get([col]) - df_train.get([col]).shift()\n",
    "        df_test[col + '_detrend'] = df_test.get([col]) - df_test.get([col]).shift()\n",
    "df_train = df_train.dropna()\n",
    "df_test = df_test.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load CNN Model and include inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Loading model from file saved_models/cnn-EURUSD_buy_sell_w10-ep500-2020_06_11.model\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/initializers.py:143: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling Ones.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/init_ops.py:97: calling GlorotUniform.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /home/danilo/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n",
      "\n",
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 15, 15, 32)        896       \n",
      "_________________________________________________________________\n",
      "batch_normalization (BatchNo (None, 15, 15, 32)        128       \n",
      "_________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D) (None, 7, 7, 32)          0         \n",
      "_________________________________________________________________\n",
      "dropout (Dropout)            (None, 7, 7, 32)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 7, 7, 64)          18496     \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 7, 7, 64)          256       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 3, 3, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 3, 3, 64)          0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 576)               0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 128)               73856     \n",
      "_________________________________________________________________\n",
      "batch_normalization_2 (Batch (None, 128)               512       \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                8256      \n",
      "_________________________________________________________________\n",
      "batch_normalization_3 (Batch (None, 64)                256       \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 3)                 195       \n",
      "=================================================================\n",
      "Total params: 102,851\n",
      "Trainable params: 102,275\n",
      "Non-trainable params: 576\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "generative_training = configs['model']['generative_training']\n",
    "img_size = len(configs['model']['inputs']['technical_indicators'])\n",
    "\n",
    "# Add LSTM Predictions\n",
    "model = CNNModel()\n",
    "model.load_model('saved_models/' + configs['model']['pre_trained_model'])\n",
    "model.model.load_weights('saved_models/' + configs['model']['pre_trained_weights'])\n",
    "model.model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnn_cols = []\n",
    "for indicator in configs['model']['inputs']['technical_indicators']:\n",
    "    for interval in configs['model']['inputs']['intervals']:\n",
    "        cnn_cols.append(indicator + '_' + str(interval))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataloader = CNNDataLoaderBuySell(\n",
    "    df_train,\n",
    "    indicators=configs['model']['inputs']['technical_indicators'],\n",
    "    intervals=configs['model']['inputs']['intervals'],\n",
    "    df_test=df_test,\n",
    "    window_size=10\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((147281, 15, 15, 3), (147281,), (11577, 15, 15, 3), (11577,))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train, y_train = dataloader.get_train_data(cnn_cols, window_size=15, class_unbalacing=False)\n",
    "x_test, y_test  = dataloader.get_test_data(cnn_cols, window_size=15, class_unbalacing=False)\n",
    "x_train.shape, y_train.shape, x_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "147281/147281 [==============================] - 15s 100us/sample\n",
      "11577/11577 [==============================] - 1s 118us/sample\n"
     ]
    }
   ],
   "source": [
    "predictions_train = model.predict(x_train,verbose=True)\n",
    "predictions_test = model.predict(x_test,verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 56%|█████▌    | 82133/147281 [00:47<00:28, 2254.07it/s]"
     ]
    }
   ],
   "source": [
    "df_train[\"CNNClassifier_hold\"] = np.nan\n",
    "df_train[\"CNNClassifier_buy\"] = np.nan\n",
    "df_train[\"CNNClassifier_sell\"] = np.nan\n",
    "df_test[\"CNNClassifier_hold\"] = np.nan\n",
    "df_test[\"CNNClassifier_buy\"] = np.nan\n",
    "df_test[\"CNNClassifier_sell\"] = np.nan\n",
    "index = len(df_test) - len(predictions_test) \n",
    "\n",
    "# Train\n",
    "for i in tqdm(range(len(predictions_train))):\n",
    "    df_train[\"CNNClassifier_hold\"].iloc[index+i] = predictions_train[i][0]\n",
    "    df_train[\"CNNClassifier_buy\"].iloc[index+i] = predictions_train[i][1]\n",
    "    df_train[\"CNNClassifier_sell\"].iloc[index+i] = predictions_train[i][2]\n",
    "\n",
    "# Test\n",
    "for i in tqdm(range(len(predictions_test))):\n",
    "    df_test[\"CNNClassifier_hold\"].iloc[index+i] = predictions_test[i][0]\n",
    "    df_test[\"CNNClassifier_buy\"].iloc[index+i] = predictions_test[i][1]\n",
    "    df_test[\"CNNClassifier_sell\"].iloc[index+i] = predictions_test[i][2]\n",
    "\n",
    "df_train = df_train.dropna()\n",
    "df_test = df_test.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Force memory deallocation\n",
    "x_train, y_train, y_train_mov = None, None, None\n",
    "x_test, y_test, y_test_mov = None, None, None\n",
    "dataloader, predictions_train, predictions_test = None, None, None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data ready"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train = df_train.get(cols).values\n",
    "x_test = df_test.get(cols).values\n",
    "x_train.shape, x_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# true values\n",
    "x_train_undo_detrend = df_train.get([\"Close\"]).values\n",
    "x_test_undo_detrend = df_test.get([\"Close\"]).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure it is right\n",
    "print(x_train[:8, 0])\n",
    "print(x_train_undo_detrend[:8, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(x_train[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(18, 5))\n",
    "# train\n",
    "fig.add_subplot(1, 2, 1)\n",
    "plt.axis(\"off\")\n",
    "plt.title(\"Train\", fontsize=10)\n",
    "plt.subplots_adjust(wspace=0.2, hspace=0.2)\n",
    "plt.plot(x_train_undo_detrend[2_200:6_300, 0])\n",
    "# Test\n",
    "fig.add_subplot(1, 2, 2)\n",
    "plt.axis(\"off\")\n",
    "plt.title(\"Test\", fontsize=10)\n",
    "plt.subplots_adjust(wspace=0.2, hspace=0.2)\n",
    "plt.plot(x_test_undo_detrend[:, 0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "### MODEL HYPERPARAMETERS\n",
    "# Here our possible actions\n",
    "sit = [1, 0, 0]\n",
    "buy = [0, 1, 0]\n",
    "sell = [0, 0, 1]\n",
    "possible_actions = [sit, buy, sell]\n",
    "\n",
    "action_size = len(possible_actions)              # 3 possible actions: sit, buy, sell\n",
    "state_size = x_train.shape[1]\n",
    "\n",
    "### TRAINING HYPERPARAMETERS\n",
    "layers = configs['agent']['layers']\n",
    "population_size = configs['agent']['params']['population_size']\n",
    "generations = configs['agent']['params']['generations']\n",
    "episodes = configs['agent']['params']['episodes']\n",
    "mutation_variance = configs['agent']['params']['mutation_variance']\n",
    "survival_ratio = configs['agent']['params']['survival_ratio']\n",
    "max_env_steps = configs['agent']['params']['max_env_steps']\n",
    "both_parent_percentage = configs['agent']['params']['both_parent_percentage']\n",
    "one_parent_percentage = configs['agent']['params']['one_parent_percentage']\n",
    "\n",
    "gpu = True\n",
    "gather_stats = True\n",
    "env_name = configs['agent']['params']['env']\n",
    "type = 'GA'\n",
    "\n",
    "\n",
    "### Env\n",
    "initial_cash = configs['agent']['params']['initial_cash']\n",
    "close_col = configs['agent']['params']['close_col']\n",
    "profit_window_size = configs['agent']['params']['profit_window_size']\n",
    "large_holdings_penalty = configs['agent']['params']['large_holdings_penalty']\n",
    "lost_all_cash_penalty = configs['agent']['params']['lost_all_cash_penalty']\n",
    "inaction_penalty = configs['agent']['params']['inaction_penalty']\n",
    "no_trades_penalty = configs['agent']['params']['no_trades_penalty']\n",
    "reward_function =  configs['agent']['params']['reward_function']\n",
    "close_padding = configs['agent']['params']['close_padding']\n",
    "\n",
    "### MODIFY THIS TO FALSE IF YOU JUST WANT TO SEE THE TRAINED AGENT\n",
    "training = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'../../GA/tensorboard_Market_v3.0141'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensorboard_logs = type + \"/tensorboard_\" + env_name + \"_v3.0141\"\n",
    "tensorboard_logs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clear any logs from previous runs\n",
    "import shutil\n",
    "shutil.rmtree(tensorboard_logs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "set_session(get_session())\n",
    "summary_writer = tf.summary.FileWriter(tensorboard_logs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SimpleProfit\n"
     ]
    }
   ],
   "source": [
    "# Environment Initialization\n",
    "args = {\n",
    "    'x': x_train, \n",
    "    'actions': possible_actions, \n",
    "    'state_size': state_size, \n",
    "    'start_index': 2_200,\n",
    "    'end_index': 6_300,\n",
    "    'initial_cash': initial_cash,\n",
    "    'close_col': close_col, \n",
    "    'undo_detrend': x_train_undo_detrend, \n",
    "    'reward_function': reward_function, \n",
    "    'profit_window_size': profit_window_size, \n",
    "    'inaction_penalty': inaction_penalty,\n",
    "    'no_trades_penalty': no_trades_penalty,\n",
    "    'large_holdings_penalty': large_holdings_penalty,\n",
    "    'close_padding': close_padding\n",
    "}\n",
    "test_args = {\n",
    "    'x': x_test, \n",
    "    'actions': possible_actions, \n",
    "    'state_size': state_size, \n",
    "    'start_index': 0,\n",
    "    'end_index': 100_000,\n",
    "    'initial_cash': initial_cash,\n",
    "    'close_col': close_col, \n",
    "    'undo_detrend': x_test_undo_detrend, \n",
    "    'reward_function': reward_function, \n",
    "    'profit_window_size': profit_window_size, \n",
    "    'inaction_penalty': inaction_penalty,\n",
    "    'no_trades_penalty': no_trades_penalty,\n",
    "    'large_holdings_penalty': large_holdings_penalty,\n",
    "    'close_padding': close_padding\n",
    "}\n",
    "env = MarketEnvironmentV1(**args)\n",
    "env.reset()\n",
    "state_dim = env.get_state_size()\n",
    "action_dim = env.get_action_size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------\n",
      "Logging params: \n",
      "population_size 256\n",
      "generations 100\n",
      "mutation_variance 0.005\n",
      "survival_ratio 0.15\n",
      "both_parent_percentage 0.8\n",
      "one_parent_percentage 0.1\n",
      "episodes 10\n",
      "max_env_steps 500\n",
      "--------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "genetic_pop = GeneticNetworks(architecture=(state_dim, ) + tuple(layers) + (action_dim,),\n",
    "                                population_size=population_size, \n",
    "                                generations=generations,\n",
    "                                episodes=episodes, \n",
    "                                mutation_variance=mutation_variance,\n",
    "                                render_env=False,\n",
    "                                survival_ratio=survival_ratio,\n",
    "                                verbose=True,\n",
    "                                stagnation_end=False,\n",
    "                                save_path='saved_models/',\n",
    "                                both_parent_percentage=both_parent_percentage,\n",
    "                                one_parent_percentage=one_parent_percentage,\n",
    "                                max_env_steps=max_env_steps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:   0%|          | 0/100 [00:00<?, ? gen/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SimpleProfit\n",
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      "WARNING:tensorflow:From /home/danilo/Documents/danilo/StockPricePrediction/utils/networks.py:15: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:1| Highest Reward:1.4343689798412007| Average Reward:-90.18576897945485| std Reward: 27.372599707715327| Stagnation: 1| Population size: 256:   0%|          | 0/100 [00:51<?, ? gen/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '0.0', 'cash': '5.0', 'portfolio_value': '0.0', 'net': '5.0', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '0', 'step_value': '4099', 'max_holdings': '0', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '0.0', 'cash': '5.0', 'portfolio_value': '0.0', 'net': '5.0', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '0', 'step_value': '11623', 'max_holdings': '0', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:1| Highest Reward:1.4343689798412007| Average Reward:-90.18576897945485| std Reward: 27.372599707715327| Stagnation: 1| Population size: 256:   1%|          | 1/100 [00:55<1:32:18, 55.94s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:2| Highest Reward:1.5080492088381106| Average Reward:-79.23815058169582| std Reward: 38.112452411722956| Stagnation: 1| Population size: 256:   1%|          | 1/100 [01:52<1:32:18, 55.94s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.3916000000000261', 'cash': '9.893699999999999', 'portfolio_value': '-4.96328', 'net': '4.930419999999999', 'total_profit': '-0.050930000000007025', 'win_trades': '473', 'winnning_percent': '0.6945668135095447', 'total_trades': '681', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '347', 'total_shorts': '334', 'win_longs': '0.6772334293948127', 'win_shorts': '0.7125748502994012'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '0.3262000000003429', 'cash': '9.603830000000016', 'portfolio_value': '-4.58752', 'net': '5.016310000000017', 'total_profit': '0.02327999999999708', 'win_trades': '1568', 'winnning_percent': '0.6996876394466756', 'total_trades': '2241', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1154', 'total_shorts': '1087', 'win_longs': '0.6889081455805892', 'win_shorts': '0.7111315547378105'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:2| Highest Reward:1.5080492088381106| Average Reward:-79.23815058169582| std Reward: 38.112452411722956| Stagnation: 1| Population size: 256:   2%|▏         | 2/100 [01:56<1:33:50, 57.45s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:3| Highest Reward:1.0524680459407676| Average Reward:-78.48244320699574| std Reward: 39.90443979433635| Stagnation: 2| Population size: 256:   2%|▏         | 2/100 [02:54<1:33:50, 57.45s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.9821999999997342', 'cash': '10.062389999999986', 'portfolio_value': '-4.96328', 'net': '5.099109999999986', 'total_profit': '0.13722000000000034', 'win_trades': '224', 'winnning_percent': '0.7804878048780488', 'total_trades': '287', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '146', 'total_shorts': '141', 'win_longs': '0.8013698630136986', 'win_shorts': '0.7588652482269503'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:3| Highest Reward:1.0524680459407676| Average Reward:-78.48244320699574| std Reward: 39.90443979433635| Stagnation: 2| Population size: 256:   3%|▎         | 3/100 [02:58<1:35:04, 58.81s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.473999999999914', 'cash': '9.961219999999996', 'portfolio_value': '-4.58752', 'net': '5.373699999999996', 'total_profit': '0.41867999999999195', 'win_trades': '867', 'winnning_percent': '0.7867513611615246', 'total_trades': '1102', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '558', 'total_shorts': '544', 'win_longs': '0.7777777777777778', 'win_shorts': '0.7959558823529411'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:4| Highest Reward:0.9616786237434043| Average Reward:-69.34271913944133| std Reward: 44.784970771735466| Stagnation: 3| Population size: 256:   3%|▎         | 3/100 [03:52<1:35:04, 58.81s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '0.21519999999974893', 'cash': '0.04747999999998753', 'portfolio_value': '4.96328', 'net': '5.010759999999988', 'total_profit': '-0.02735000000000687', 'win_trades': '82', 'winnning_percent': '0.20297029702970298', 'total_trades': '404', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '231', 'total_shorts': '173', 'win_longs': '0.22077922077922077', 'win_shorts': '0.1791907514450867'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:4| Highest Reward:0.9616786237434043| Average Reward:-69.34271913944133| std Reward: 44.784970771735466| Stagnation: 3| Population size: 256:   4%|▍         | 4/100 [03:57<1:33:48, 58.64s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-3.0997999999999415', 'cash': '0.25749000000000355', 'portfolio_value': '4.58752', 'net': '4.845010000000003', 'total_profit': '-0.182500000000007', 'win_trades': '230', 'winnning_percent': '0.24236037934668073', 'total_trades': '949', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '565', 'total_shorts': '384', 'win_longs': '0.25486725663716814', 'win_shorts': '0.22395833333333334'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:5| Highest Reward:1.110242769762553| Average Reward:-69.27143658749851| std Reward: 45.12448911656495| Stagnation: 4| Population size: 256:   4%|▍         | 4/100 [04:52<1:33:48, 58.64s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '4.689399999999955', 'cash': '9.821989999999998', 'portfolio_value': '-4.58752', 'net': '5.234469999999998', 'total_profit': '0.25799999999999956', 'win_trades': '2', 'winnning_percent': '1.0', 'total_trades': '2', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '1.0', 'win_shorts': '1.0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:5| Highest Reward:1.110242769762553| Average Reward:-69.27143658749851| std Reward: 45.12448911656495| Stagnation: 4| Population size: 256:   5%|▌         | 5/100 [04:56<1:33:21, 58.97s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:6| Highest Reward:1.5589786279658056| Average Reward:-78.84381490257138| std Reward: 39.398756537327635| Stagnation: 1| Population size: 256:   5%|▌         | 5/100 [05:52<1:33:21, 58.97s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.1617999999999906', 'cash': '0.09481000000000006', 'portfolio_value': '4.96328', 'net': '5.05809', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-3.102200000000488', 'cash': '9.808169999999976', 'portfolio_value': '-4.96328', 'net': '4.8448899999999755', 'total_profit': '-0.11700000000000865', 'win_trades': '475', 'winnning_percent': '0.8246527777777778', 'total_trades': '576', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '293', 'total_shorts': '283', 'win_longs': '0.8122866894197952', 'win_shorts': '0.8374558303886925'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:6| Highest Reward:1.5589786279658056| Average Reward:-78.84381490257138| std Reward: 39.398756537327635| Stagnation: 1| Population size: 256:   6%|▌         | 6/100 [05:57<1:33:05, 59.42s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-0.09640000000011861', 'cash': '9.582699999999994', 'portfolio_value': '-4.58752', 'net': '4.995179999999994', 'total_profit': '0.0025499999999969436', 'win_trades': '1340', 'winnning_percent': '0.7957244655581948', 'total_trades': '1684', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '870', 'total_shorts': '814', 'win_longs': '0.8045977011494253', 'win_shorts': '0.7862407862407862'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:7| Highest Reward:1.1479811729514093| Average Reward:-58.42920465356537| std Reward: 47.37802596076296| Stagnation: 2| Population size: 256:   6%|▌         | 6/100 [06:53<1:33:05, 59.42s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.656600000000008', 'cash': '9.88045', 'portfolio_value': '-4.96328', 'net': '4.91717', 'total_profit': '0.024849999999999595', 'win_trades': '1', 'winnning_percent': '0.5', 'total_trades': '2', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '0.0', 'win_shorts': '1.0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.5346000000000082', 'cash': '9.88655', 'portfolio_value': '-4.96328', 'net': '4.92327', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:7| Highest Reward:1.1479811729514093| Average Reward:-58.42920465356537| std Reward: 47.37802596076296| Stagnation: 2| Population size: 256:   7%|▋         | 7/100 [06:58<1:33:00, 60.01s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.345399999999968', 'cash': '9.904789999999998', 'portfolio_value': '-4.58752', 'net': '5.317269999999999', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:8| Highest Reward:2.1215105971794084| Average Reward:-71.71570013779149| std Reward: 43.993990587232986| Stagnation: 1| Population size: 256:   7%|▋         | 7/100 [07:54<1:33:00, 60.01s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '7.319200000000259', 'cash': '0.4026800000000128', 'portfolio_value': '4.96328', 'net': '5.365960000000013', 'total_profit': '0.32769000000000625', 'win_trades': '111', 'winnning_percent': '0.42366412213740456', 'total_trades': '262', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '166', 'total_shorts': '96', 'win_longs': '0.37349397590361444', 'win_shorts': '0.5104166666666666'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.0469999999988895', 'cash': '0.26013000000005615', 'portfolio_value': '4.58752', 'net': '4.847650000000056', 'total_profit': '-0.16113999999997963', 'win_trades': '382', 'winnning_percent': '0.4745341614906832', 'total_trades': '805', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '524', 'total_shorts': '281', 'win_longs': '0.45610687022900764', 'win_shorts': '0.5088967971530249'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:8| Highest Reward:2.1215105971794084| Average Reward:-71.71570013779149| std Reward: 43.993990587232986| Stagnation: 1| Population size: 256:   8%|▊         | 8/100 [07:59<1:32:14, 60.16s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:9| Highest Reward:1.3947675819595853| Average Reward:-63.58692149694461| std Reward: 46.151079533573586| Stagnation: 2| Population size: 256:   8%|▊         | 8/100 [08:56<1:32:14, 60.16s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.1617999999999906', 'cash': '0.09481000000000006', 'portfolio_value': '4.96328', 'net': '5.05809', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-5.245000000000388', 'cash': '1.0152899999999807', 'portfolio_value': '3.72246', 'net': '4.737749999999981', 'total_profit': '-0.28408000000000255', 'win_trades': '99', 'winnning_percent': '0.20711297071129708', 'total_trades': '478', 'holdings': '3', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '256', 'total_shorts': '222', 'win_longs': '0.2421875', 'win_shorts': '0.16666666666666666'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:9| Highest Reward:1.3947675819595853| Average Reward:-63.58692149694461| std Reward: 46.151079533573586| Stagnation: 2| Population size: 256:   9%|▉         | 9/100 [09:00<1:31:47, 60.53s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.953399999999619', 'cash': '0.16481000000001944', 'portfolio_value': '4.58752', 'net': '4.752330000000019', 'total_profit': '-0.25464000000000087', 'win_trades': '341', 'winnning_percent': '0.2152777777777778', 'total_trades': '1584', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '941', 'total_shorts': '643', 'win_longs': '0.22422954303931988', 'win_shorts': '0.20217729393468117'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:10| Highest Reward:1.4031699081446367| Average Reward:-52.966825150685075| std Reward: 48.151691447237184| Stagnation: 3| Population size: 256:   9%|▉         | 9/100 [09:57<1:31:47, 60.53s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.2116000000000127', 'cash': '9.9027', 'portfolio_value': '-4.96328', 'net': '4.939419999999999', 'total_profit': '-0.04113000000000655', 'win_trades': '38', 'winnning_percent': '0.5428571428571428', 'total_trades': '70', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '35', 'total_shorts': '35', 'win_longs': '0.6571428571428571', 'win_shorts': '0.42857142857142855'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.1724000000000085', 'cash': '0.19534000000000074', 'portfolio_value': '4.96328', 'net': '5.158620000000001', 'total_profit': '0.14416999999999658', 'win_trades': '26', 'winnning_percent': '0.33766233766233766', 'total_trades': '77', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '56', 'total_shorts': '21', 'win_longs': '0.32142857142857145', 'win_shorts': '0.38095238095238093'}\n",
      "Test Data (best)->>  {'cash_profit': '5.089999999999728', 'cash': '9.842019999999986', 'portfolio_value': '-4.58752', 'net': '5.254499999999986', 'total_profit': '0.2618699999999978', 'win_trades': '116', 'winnning_percent': '0.6137566137566137', 'total_trades': '189', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '95', 'total_shorts': '94', 'win_longs': '0.6842105263157895', 'win_shorts': '0.5425531914893617'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:10| Highest Reward:1.4031699081446367| Average Reward:-52.966825150685075| std Reward: 48.151691447237184| Stagnation: 3| Population size: 256:  10%|█         | 10/100 [10:02<1:31:21, 60.90s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-2.01559999999974', 'cash': '0.31170000000001363', 'portfolio_value': '4.58752', 'net': '4.899220000000013', 'total_profit': '-0.14735999999999794', 'win_trades': '116', 'winnning_percent': '0.31351351351351353', 'total_trades': '370', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '242', 'total_shorts': '128', 'win_longs': '0.2768595041322314', 'win_shorts': '0.3828125'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:11| Highest Reward:1.2272702542522662| Average Reward:-42.934749456090415| std Reward: 47.82681996467941| Stagnation: 4| Population size: 256:  10%|█         | 10/100 [10:58<1:31:21, 60.90s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '5.4070000000001395', 'cash': '0.3070700000000064', 'portfolio_value': '4.96328', 'net': '5.270350000000007', 'total_profit': '0.2630000000000081', 'win_trades': '147', 'winnning_percent': '0.8121546961325967', 'total_trades': '181', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '101', 'total_shorts': '80', 'win_longs': '0.801980198019802', 'win_shorts': '0.825'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-1.6559999999999464', 'cash': '2.623440000000003', 'portfolio_value': '2.29376', 'net': '4.917200000000003', 'total_profit': '-0.08909000000000322', 'win_trades': '225', 'winnning_percent': '0.7377049180327869', 'total_trades': '305', 'holdings': '2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '174', 'total_shorts': '131', 'win_longs': '0.6781609195402298', 'win_shorts': '0.816793893129771'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:11| Highest Reward:1.2272702542522662| Average Reward:-42.934749456090415| std Reward: 47.82681996467941| Stagnation: 4| Population size: 256:  11%|█         | 11/100 [11:03<1:30:16, 60.85s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:12| Highest Reward:1.4803817358929765| Average Reward:-64.21745986166069| std Reward: 45.8563605181046| Stagnation: 5| Population size: 256:  11%|█         | 11/100 [12:00<1:30:16, 60.85s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '2.5981999999999283', 'cash': '10.093189999999996', 'portfolio_value': '-4.96328', 'net': '5.129909999999996', 'total_profit': '0.14855999999998293', 'win_trades': '789', 'winnning_percent': '0.8150826446280992', 'total_trades': '968', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '506', 'total_shorts': '462', 'win_longs': '0.8241106719367589', 'win_shorts': '0.8051948051948052'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:12| Highest Reward:1.4803817358929765| Average Reward:-64.21745986166069| std Reward: 45.8563605181046| Stagnation: 5| Population size: 256:  12%|█▏        | 12/100 [12:05<1:29:54, 61.30s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '8.278800000000386', 'cash': '10.00146000000002', 'portfolio_value': '-4.58752', 'net': '5.41394000000002', 'total_profit': '0.4200799999999949', 'win_trades': '2229', 'winnning_percent': '0.7843068261787474', 'total_trades': '2842', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1482', 'total_shorts': '1360', 'win_longs': '0.7975708502024291', 'win_shorts': '0.7698529411764706'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:13| Highest Reward:1.2783498737649848| Average Reward:-47.87011637635468| std Reward: 48.32639723546877| Stagnation: 6| Population size: 256:  12%|█▏        | 12/100 [13:02<1:29:54, 61.30s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '5.962999999999652', 'cash': '10.261429999999983', 'portfolio_value': '-4.96328', 'net': '5.298149999999983', 'total_profit': '0.3004099999999905', 'win_trades': '553', 'winnning_percent': '0.45179738562091504', 'total_trades': '1224', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '652', 'total_shorts': '572', 'win_longs': '0.450920245398773', 'win_shorts': '0.4527972027972028'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.8738000000000827', 'cash': '10.156970000000005', 'portfolio_value': '-4.96328', 'net': '5.193690000000005', 'total_profit': '0.21234000000000264', 'win_trades': '929', 'winnning_percent': '0.8369369369369369', 'total_trades': '1110', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '578', 'total_shorts': '532', 'win_longs': '0.8494809688581315', 'win_shorts': '0.8233082706766918'}\n",
      "Test Data (best)->>  {'cash_profit': '1.1300000000003196', 'cash': '10.051940000000016', 'portfolio_value': '-4.99544', 'net': '5.056500000000016', 'total_profit': '0.05167000000000277', 'win_trades': '80', 'winnning_percent': '0.47619047619047616', 'total_trades': '168', 'holdings': '-4', 'step_value': '464', 'max_holdings': '4', 'total_longs': '89', 'total_shorts': '79', 'win_longs': '0.5056179775280899', 'win_shorts': '0.4430379746835443'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:13| Highest Reward:1.2783498737649848| Average Reward:-47.87011637635468| std Reward: 48.32639723546877| Stagnation: 6| Population size: 256:  13%|█▎        | 13/100 [13:05<1:28:16, 60.88s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.57880000000106', 'cash': '9.816460000000053', 'portfolio_value': '-4.58752', 'net': '5.228940000000053', 'total_profit': '0.2339799999999772', 'win_trades': '2433', 'winnning_percent': '0.8128967591045774', 'total_trades': '2993', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1575', 'total_shorts': '1418', 'win_longs': '0.826031746031746', 'win_shorts': '0.7983074753173484'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:14| Highest Reward:1.6383780555656025| Average Reward:-46.40976752938808| std Reward: 48.09198734503938| Stagnation: 7| Population size: 256:  13%|█▎        | 13/100 [14:03<1:28:16, 60.88s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.614600000000066', 'cash': '10.044010000000004', 'portfolio_value': '-4.96328', 'net': '5.0807300000000035', 'total_profit': '0.10137000000000507', 'win_trades': '154', 'winnning_percent': '0.7264150943396226', 'total_trades': '212', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '107', 'total_shorts': '105', 'win_longs': '0.8037383177570093', 'win_shorts': '0.6476190476190476'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:14| Highest Reward:1.6383780555656025| Average Reward:-46.40976752938808| std Reward: 48.09198734503938| Stagnation: 7| Population size: 256:  14%|█▍        | 14/100 [14:08<1:28:08, 61.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '5.122399999999949', 'cash': '9.843639999999997', 'portfolio_value': '-4.58752', 'net': '5.2561199999999975', 'total_profit': '0.26928999999999337', 'win_trades': '264', 'winnning_percent': '0.6786632390745502', 'total_trades': '389', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '195', 'total_shorts': '194', 'win_longs': '0.7230769230769231', 'win_shorts': '0.634020618556701'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:15| Highest Reward:1.4495697076317613| Average Reward:-50.82878844078106| std Reward: 48.53665181822634| Stagnation: 8| Population size: 256:  14%|█▍        | 14/100 [15:05<1:28:08, 61.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '2.8739999999998656', 'cash': '8.866159999999994', 'portfolio_value': '-3.72246', 'net': '5.143699999999994', 'total_profit': '0.1439199999999934', 'win_trades': '183', 'winnning_percent': '0.6421052631578947', 'total_trades': '285', 'holdings': '-3', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '174', 'total_shorts': '111', 'win_longs': '0.6494252873563219', 'win_shorts': '0.6306306306306306'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:15| Highest Reward:1.4495697076317613| Average Reward:-50.82878844078106| std Reward: 48.53665181822634| Stagnation: 8| Population size: 256:  15%|█▌        | 15/100 [15:09<1:27:12, 61.56s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.796400000000167', 'cash': '5.239820000000009', 'portfolio_value': '0.0', 'net': '5.239820000000009', 'total_profit': '0.2398200000000148', 'win_trades': '412', 'winnning_percent': '0.7266313932980599', 'total_trades': '567', 'holdings': '0', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '351', 'total_shorts': '216', 'win_longs': '0.7122507122507122', 'win_shorts': '0.75'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:16| Highest Reward:1.8365864788038624| Average Reward:-47.79969360596188| std Reward: 48.14309250297379| Stagnation: 9| Population size: 256:  15%|█▌        | 15/100 [16:09<1:27:12, 61.56s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:16| Highest Reward:1.8365864788038624| Average Reward:-47.79969360596188| std Reward: 48.14309250297379| Stagnation: 9| Population size: 256:  16%|█▌        | 16/100 [16:14<1:27:13, 62.30s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:17| Highest Reward:1.560279538222677| Average Reward:-65.98337270275152| std Reward: 45.799033242909644| Stagnation: 10| Population size: 256:  16%|█▌        | 16/100 [17:11<1:27:13, 62.30s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.7709999999999892', 'cash': '0.12527', 'portfolio_value': '4.96328', 'net': '5.08855', 'total_profit': '-0.04105999999999832', 'win_trades': '11', 'winnning_percent': '0.34375', 'total_trades': '32', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '21', 'total_shorts': '11', 'win_longs': '0.38095238095238093', 'win_shorts': '0.2727272727272727'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-0.6597999999999771', 'cash': '0.0037300000000006772', 'portfolio_value': '4.96328', 'net': '4.967010000000001', 'total_profit': '-0.047190000000000065', 'win_trades': '28', 'winnning_percent': '0.3010752688172043', 'total_trades': '93', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '58', 'total_shorts': '35', 'win_longs': '0.41379310344827586', 'win_shorts': '0.11428571428571428'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.164399999999835', 'cash': '0.204260000000009', 'portfolio_value': '4.58752', 'net': '4.791780000000008', 'total_profit': '-0.21981999999999524', 'win_trades': '80', 'winnning_percent': '0.5095541401273885', 'total_trades': '157', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '99', 'total_shorts': '58', 'win_longs': '0.48484848484848486', 'win_shorts': '0.5517241379310345'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:17| Highest Reward:1.560279538222677| Average Reward:-65.98337270275152| std Reward: 45.799033242909644| Stagnation: 10| Population size: 256:  17%|█▋        | 17/100 [17:16<1:26:08, 62.27s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-3.7248000000001946', 'cash': '0.22623999999999067', 'portfolio_value': '4.58752', 'net': '4.8137599999999905', 'total_profit': '-0.2321600000000119', 'win_trades': '118', 'winnning_percent': '0.3033419023136247', 'total_trades': '389', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '256', 'total_shorts': '133', 'win_longs': '0.3359375', 'win_shorts': '0.24060150375939848'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:18| Highest Reward:1.6748986192773145| Average Reward:-52.10071430258487| std Reward: 48.15619951642541| Stagnation: 11| Population size: 256:  17%|█▋        | 17/100 [18:13<1:26:08, 62.27s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-0.6114000000002839', 'cash': '9.932709999999986', 'portfolio_value': '-4.96328', 'net': '4.969429999999986', 'total_profit': '-0.0009700000000061326', 'win_trades': '467', 'winnning_percent': '0.8093587521663779', 'total_trades': '577', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '295', 'total_shorts': '282', 'win_longs': '0.8169491525423729', 'win_shorts': '0.8014184397163121'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '2.388799999999547', 'cash': '9.706959999999977', 'portfolio_value': '-4.58752', 'net': '5.119439999999978', 'total_profit': '0.13561999999999363', 'win_trades': '1345', 'winnning_percent': '0.8044258373205742', 'total_trades': '1672', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '858', 'total_shorts': '814', 'win_longs': '0.8181818181818182', 'win_shorts': '0.7899262899262899'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:18| Highest Reward:1.6748986192773145| Average Reward:-52.10071430258487| std Reward: 48.15619951642541| Stagnation: 11| Population size: 256:  18%|█▊        | 18/100 [18:18<1:25:01, 62.22s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:19| Highest Reward:1.5304148600726677| Average Reward:-58.79139136512302| std Reward: 47.71919456481063| Stagnation: 12| Population size: 256:  18%|█▊        | 18/100 [19:13<1:25:01, 62.22s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.38879999999999', 'cash': '9.89384', 'portfolio_value': '-4.96328', 'net': '4.930560000000001', 'total_profit': '0.03396000000000021', 'win_trades': '2', 'winnning_percent': '1.0', 'total_trades': '2', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '1.0', 'win_shorts': '1.0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.3295999999999975', 'cash': '3.825659999999999', 'portfolio_value': '1.24082', 'net': '5.066479999999999', 'total_profit': '0.06647999999999987', 'win_trades': '929', 'winnning_percent': '0.7602291325695582', 'total_trades': '1222', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '637', 'total_shorts': '585', 'win_longs': '0.7770800627943485', 'win_shorts': '0.7418803418803419'}\n",
      "Test Data (best)->>  {'cash_profit': '3.670399999999985', 'cash': '9.77104', 'portfolio_value': '-4.58752', 'net': '5.18352', 'total_profit': '0.11251999999999951', 'win_trades': '1', 'winnning_percent': '0.5', 'total_trades': '2', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '0.0', 'win_shorts': '1.0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:19| Highest Reward:1.5304148600726677| Average Reward:-58.79139136512302| std Reward: 47.71919456481063| Stagnation: 12| Population size: 256:  19%|█▉        | 19/100 [19:18<1:23:11, 61.62s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.636000000000642', 'cash': '9.969320000000032', 'portfolio_value': '-4.58752', 'net': '5.381800000000032', 'total_profit': '0.3868400000000243', 'win_trades': '2518', 'winnning_percent': '0.7658150851581509', 'total_trades': '3288', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1704', 'total_shorts': '1584', 'win_longs': '0.778755868544601', 'win_shorts': '0.7518939393939394'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:20| Highest Reward:1.857929458504477| Average Reward:-51.77248490097131| std Reward: 48.12192103204465| Stagnation: 13| Population size: 256:  19%|█▉        | 19/100 [20:14<1:23:11, 61.62s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.6647999999999996', 'cash': '0.11995999999999984', 'portfolio_value': '4.96328', 'net': '5.08324', 'total_profit': '0.04436000000000129', 'win_trades': '16', 'winnning_percent': '0.4444444444444444', 'total_trades': '36', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '32', 'total_shorts': '4', 'win_longs': '0.46875', 'win_shorts': '0.25'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:20| Highest Reward:1.857929458504477| Average Reward:-51.77248490097131| std Reward: 48.12192103204465| Stagnation: 13| Population size: 256:  20%|██        | 20/100 [20:18<1:21:37, 61.21s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-3.705000000000158', 'cash': '0.22722999999999227', 'portfolio_value': '4.58752', 'net': '4.814749999999992', 'total_profit': '-0.23023000000000216', 'win_trades': '74', 'winnning_percent': '0.3333333333333333', 'total_trades': '222', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '163', 'total_shorts': '59', 'win_longs': '0.3374233128834356', 'win_shorts': '0.3220338983050847'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:21| Highest Reward:1.900068774805628| Average Reward:-49.622272061929195| std Reward: 48.36463393006672| Stagnation: 14| Population size: 256:  20%|██        | 20/100 [21:14<1:21:37, 61.21s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:21| Highest Reward:1.900068774805628| Average Reward:-49.622272061929195| std Reward: 48.36463393006672| Stagnation: 14| Population size: 256:  21%|██        | 21/100 [21:18<1:20:11, 60.90s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:22| Highest Reward:1.7112227745186754| Average Reward:-66.90045092979551| std Reward: 45.1029838593256| Stagnation: 15| Population size: 256:  21%|██        | 21/100 [22:13<1:20:11, 60.90s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.0115999999999459', 'cash': '9.912700000000003', 'portfolio_value': '-4.96328', 'net': '4.949420000000003', 'total_profit': '0.09305000000000052', 'win_trades': '3', 'winnning_percent': '0.75', 'total_trades': '4', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '2', 'total_shorts': '2', 'win_longs': '0.5', 'win_shorts': '1.0'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:22| Highest Reward:1.7112227745186754| Average Reward:-66.90045092979551| std Reward: 45.1029838593256| Stagnation: 15| Population size: 256:  22%|██▏       | 22/100 [22:18<1:18:33, 60.43s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.633200000000026', 'cash': '9.819180000000001', 'portfolio_value': '-4.58752', 'net': '5.2316600000000015', 'total_profit': '0.18970999999999938', 'win_trades': '2', 'winnning_percent': '1.0', 'total_trades': '2', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '1.0', 'win_shorts': '1.0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:23| Highest Reward:1.3927370688148206| Average Reward:-55.96590709047803| std Reward: 46.899925513389185| Stagnation: 16| Population size: 256:  22%|██▏       | 22/100 [23:14<1:18:33, 60.43s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.270799999999972', 'cash': '9.899740000000001', 'portfolio_value': '-4.96328', 'net': '4.936460000000001', 'total_profit': '0.10084000000000093', 'win_trades': '2', 'winnning_percent': '1.0', 'total_trades': '2', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '1', 'total_shorts': '1', 'win_longs': '1.0', 'win_shorts': '1.0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-0.3649999999995268', 'cash': '0.018470000000023523', 'portfolio_value': '4.96328', 'net': '4.981750000000024', 'total_profit': '-0.036899999999992605', 'win_trades': '159', 'winnning_percent': '0.18772136953955135', 'total_trades': '847', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '451', 'total_shorts': '396', 'win_longs': '0.17960088691796008', 'win_shorts': '0.19696969696969696'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:23| Highest Reward:1.3927370688148206| Average Reward:-55.96590709047803| std Reward: 46.899925513389185| Stagnation: 16| Population size: 256:  23%|██▎       | 23/100 [23:17<1:17:05, 60.07s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (best)->>  {'cash_profit': '4.691600000000018', 'cash': '9.8221', 'portfolio_value': '-4.58752', 'net': '5.234580000000001', 'total_profit': '0.30369999999999986', 'win_trades': '4', 'winnning_percent': '0.6666666666666666', 'total_trades': '6', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '3', 'total_shorts': '3', 'win_longs': '0.6666666666666666', 'win_shorts': '0.6666666666666666'}\n",
      "Test Data (latest)->>  {'cash_profit': '-0.624600000000064', 'cash': '9.963009999999997', 'portfolio_value': '-4.9942400000000005', 'net': '4.968769999999997', 'total_profit': '-0.045360000000007616', 'win_trades': '51', 'winnning_percent': '0.20481927710843373', 'total_trades': '249', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '131', 'total_shorts': '118', 'win_longs': '0.24427480916030533', 'win_shorts': '0.16101694915254236'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:24| Highest Reward:1.030451841494571| Average Reward:-57.99099228965149| std Reward: 46.65491474490582| Stagnation: 17| Population size: 256:  23%|██▎       | 23/100 [24:13<1:17:05, 60.07s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.8811999999999625', 'cash': '3.9532399999999983', 'portfolio_value': '1.24082', 'net': '5.194059999999999', 'total_profit': '0.19406000000000656', 'win_trades': '171', 'winnning_percent': '0.76', 'total_trades': '225', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '156', 'total_shorts': '69', 'win_longs': '0.7243589743589743', 'win_shorts': '0.8405797101449275'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:24| Highest Reward:1.030451841494571| Average Reward:-57.99099228965149| std Reward: 46.65491474490582| Stagnation: 17| Population size: 256:  24%|██▍       | 24/100 [24:17<1:16:11, 60.15s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '1.5093999999996166', 'cash': '5.075469999999981', 'portfolio_value': '0.0', 'net': '5.075469999999981', 'total_profit': '0.07546999999999926', 'win_trades': '597', 'winnning_percent': '0.7271619975639464', 'total_trades': '821', 'holdings': '0', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '536', 'total_shorts': '285', 'win_longs': '0.6809701492537313', 'win_shorts': '0.8140350877192982'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:25| Highest Reward:1.5477797806908962| Average Reward:-45.88863291082659| std Reward: 48.0658677998196| Stagnation: 18| Population size: 256:  24%|██▍       | 24/100 [25:12<1:16:11, 60.15s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:25| Highest Reward:1.5477797806908962| Average Reward:-45.88863291082659| std Reward: 48.0658677998196| Stagnation: 18| Population size: 256:  25%|██▌       | 25/100 [25:16<1:14:40, 59.74s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:26| Highest Reward:1.4453837661550804| Average Reward:-67.45169309006549| std Reward: 44.305231689562596| Stagnation: 19| Population size: 256:  25%|██▌       | 25/100 [26:11<1:14:40, 59.74s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.08239999999978', 'cash': '10.36739999999999', 'portfolio_value': '-4.96328', 'net': '5.404119999999989', 'total_profit': '0.4127600000000067', 'win_trades': '553', 'winnning_percent': '0.6536643026004728', 'total_trades': '846', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '432', 'total_shorts': '414', 'win_longs': '0.6620370370370371', 'win_shorts': '0.644927536231884'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-0.2742000000005129', 'cash': '9.949569999999975', 'portfolio_value': '-4.96328', 'net': '4.986289999999975', 'total_profit': '0.0021599999999923902', 'win_trades': '666', 'winnning_percent': '0.8222222222222222', 'total_trades': '810', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '443', 'total_shorts': '367', 'win_longs': '0.835214446952596', 'win_shorts': '0.8065395095367848'}\n",
      "Test Data (best)->>  {'cash_profit': '13.860000000000493', 'cash': '10.280520000000024', 'portfolio_value': '-4.58752', 'net': '5.6930000000000245', 'total_profit': '0.6980400000000027', 'win_trades': '2054', 'winnning_percent': '0.6528925619834711', 'total_trades': '3146', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1631', 'total_shorts': '1515', 'win_longs': '0.6591048436541999', 'win_shorts': '0.6462046204620462'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:26| Highest Reward:1.4453837661550804| Average Reward:-67.45169309006549| std Reward: 44.305231689562596| Stagnation: 19| Population size: 256:  26%|██▌       | 26/100 [26:15<1:13:30, 59.60s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.041399999999619', 'cash': '9.88958999999998', 'portfolio_value': '-4.58752', 'net': '5.302069999999981', 'total_profit': '0.30710999999997624', 'win_trades': '1798', 'winnning_percent': '0.8217550274223034', 'total_trades': '2188', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1206', 'total_shorts': '982', 'win_longs': '0.8291873963515755', 'win_shorts': '0.8126272912423625'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:27| Highest Reward:1.3008438278614025| Average Reward:-45.24285820588504| std Reward: 47.75915897869899| Stagnation: 20| Population size: 256:  26%|██▌       | 26/100 [27:12<1:13:30, 59.60s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '0.0', 'cash': '5.0', 'portfolio_value': '0.0', 'net': '5.0', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '0', 'step_value': '4099', 'max_holdings': '0', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:27| Highest Reward:1.3008438278614025| Average Reward:-45.24285820588504| std Reward: 47.75915897869899| Stagnation: 20| Population size: 256:  27%|██▋       | 27/100 [27:16<1:12:53, 59.91s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-0.5921999999999983', 'cash': '3.8235099999999997', 'portfolio_value': '1.14688', 'net': '4.97039', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '1', 'step_value': '11623', 'max_holdings': '1', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:28| Highest Reward:1.239044343063916| Average Reward:-60.9826033644804| std Reward: 47.33267354094885| Stagnation: 21| Population size: 256:  27%|██▋       | 27/100 [28:12<1:12:53, 59.91s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '2.430799999999933', 'cash': '10.084819999999997', 'portfolio_value': '-4.96328', 'net': '5.121539999999997', 'total_profit': '0.14431999999999867', 'win_trades': '518', 'winnning_percent': '0.8055987558320373', 'total_trades': '643', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '333', 'total_shorts': '310', 'win_longs': '0.8018018018018018', 'win_shorts': '0.8096774193548387'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:28| Highest Reward:1.239044343063916| Average Reward:-60.9826033644804| std Reward: 47.33267354094885| Stagnation: 21| Population size: 256:  28%|██▊       | 28/100 [28:16<1:11:54, 59.92s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '0.6431999999999549', 'cash': '9.619679999999997', 'portfolio_value': '-4.58752', 'net': '5.0321599999999975', 'total_profit': '0.03811999999997995', 'win_trades': '1542', 'winnning_percent': '0.7875383043922369', 'total_trades': '1958', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1024', 'total_shorts': '934', 'win_longs': '0.7939453125', 'win_shorts': '0.7805139186295503'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:29| Highest Reward:1.4429483506025402| Average Reward:-47.123521017530294| std Reward: 46.79125199612162| Stagnation: 22| Population size: 256:  28%|██▊       | 28/100 [29:15<1:11:54, 59.92s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '7.791399999999582', 'cash': '10.352849999999979', 'portfolio_value': '-4.96328', 'net': '5.389569999999979', 'total_profit': '0.39182999999998036', 'win_trades': '673', 'winnning_percent': '0.7926972909305064', 'total_trades': '849', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '487', 'total_shorts': '362', 'win_longs': '0.7802874743326489', 'win_shorts': '0.8093922651933702'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '2.0804000000000045', 'cash': '0.14074000000000053', 'portfolio_value': '4.96328', 'net': '5.10402', 'total_profit': '0.06625000000000081', 'win_trades': '6', 'winnning_percent': '0.5', 'total_trades': '12', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '11', 'total_shorts': '1', 'win_longs': '0.45454545454545453', 'win_shorts': '1.0'}\n",
      "Test Data (best)->>  {'cash_profit': '4.027399999999526', 'cash': '7.4951299999999765', 'portfolio_value': '-2.29376', 'net': '5.201369999999977', 'total_profit': '0.20196000000001235', 'win_trades': '1513', 'winnning_percent': '0.7743091095189355', 'total_trades': '1954', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1156', 'total_shorts': '798', 'win_longs': '0.7577854671280276', 'win_shorts': '0.7982456140350878'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:29| Highest Reward:1.4429483506025402| Average Reward:-47.123521017530294| std Reward: 46.79125199612162| Stagnation: 22| Population size: 256:  29%|██▉       | 29/100 [29:20<1:12:15, 61.07s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-4.611799999999954', 'cash': '0.18189000000000277', 'portfolio_value': '4.58752', 'net': '4.769410000000002', 'total_profit': '-0.26597999999999744', 'win_trades': '15', 'winnning_percent': '0.5357142857142857', 'total_trades': '28', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '23', 'total_shorts': '5', 'win_longs': '0.4782608695652174', 'win_shorts': '0.8'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:30| Highest Reward:1.2493981561118166| Average Reward:-51.542365543240564| std Reward: 45.30669285243687| Stagnation: 23| Population size: 256:  29%|██▉       | 29/100 [30:16<1:12:15, 61.07s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.9973999999999936', 'cash': '0.13658999999999955', 'portfolio_value': '4.96328', 'net': '5.099869999999999', 'total_profit': '-0.02974000000000121', 'win_trades': '10', 'winnning_percent': '0.5', 'total_trades': '20', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '16', 'total_shorts': '4', 'win_longs': '0.375', 'win_shorts': '1.0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.623999999999951', 'cash': '0.18128000000000322', 'portfolio_value': '4.58752', 'net': '4.768800000000002', 'total_profit': '-0.24280000000000035', 'win_trades': '72', 'winnning_percent': '0.6206896551724138', 'total_trades': '116', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '78', 'total_shorts': '38', 'win_longs': '0.5641025641025641', 'win_shorts': '0.7368421052631579'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:30| Highest Reward:1.2493981561118166| Average Reward:-51.542365543240564| std Reward: 45.30669285243687| Stagnation: 23| Population size: 256:  30%|███       | 30/100 [30:20<1:10:59, 60.85s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:31| Highest Reward:1.4271317590022796| Average Reward:-39.05605019498739| std Reward: 46.29753416778983| Stagnation: 24| Population size: 256:  30%|███       | 30/100 [31:17<1:10:59, 60.85s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '2.000800000000025', 'cash': '0.1367600000000011', 'portfolio_value': '4.96328', 'net': '5.100040000000002', 'total_profit': '-0.0614499999999949', 'win_trades': '15', 'winnning_percent': '0.2830188679245283', 'total_trades': '53', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '31', 'total_shorts': '22', 'win_longs': '0.25806451612903225', 'win_shorts': '0.3181818181818182'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '8.586399999999905', 'cash': '7.910959999999996', 'portfolio_value': '-2.48164', 'net': '5.429319999999995', 'total_profit': '0.42953999999999604', 'win_trades': '67', 'winnning_percent': '0.7976190476190477', 'total_trades': '84', 'holdings': '-2', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '45', 'total_shorts': '39', 'win_longs': '0.8', 'win_shorts': '0.7948717948717948'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.031400000000095', 'cash': '0.2609099999999951', 'portfolio_value': '4.58752', 'net': '4.848429999999995', 'total_profit': '-0.22059999999999902', 'win_trades': '20', 'winnning_percent': '0.2597402597402597', 'total_trades': '77', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '49', 'total_shorts': '28', 'win_longs': '0.24489795918367346', 'win_shorts': '0.2857142857142857'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:31| Highest Reward:1.4271317590022796| Average Reward:-39.05605019498739| std Reward: 46.29753416778983| Stagnation: 24| Population size: 256:  31%|███       | 31/100 [31:21<1:10:03, 60.93s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-2.9695999999999834', 'cash': '9.43904', 'portfolio_value': '-4.58752', 'net': '4.851520000000001', 'total_profit': '-0.12984000000000617', 'win_trades': '101', 'winnning_percent': '0.6516129032258065', 'total_trades': '155', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '90', 'total_shorts': '65', 'win_longs': '0.6', 'win_shorts': '0.7230769230769231'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:32| Highest Reward:2.1145788980373275| Average Reward:-40.10048376711447| std Reward: 45.56625861724266| Stagnation: 25| Population size: 256:  31%|███       | 31/100 [32:18<1:10:03, 60.93s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.5298000000000922', 'cash': '0.11321000000000536', 'portfolio_value': '4.96328', 'net': '5.076490000000005', 'total_profit': '0.04387000000000296', 'win_trades': '31', 'winnning_percent': '0.5961538461538461', 'total_trades': '52', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '38', 'total_shorts': '14', 'win_longs': '0.5526315789473685', 'win_shorts': '0.7142857142857143'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '7.454799999999739', 'cash': '10.336019999999987', 'portfolio_value': '-4.96328', 'net': '5.372739999999987', 'total_profit': '0.3813799999999885', 'win_trades': '460', 'winnning_percent': '0.8112874779541446', 'total_trades': '567', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '334', 'total_shorts': '233', 'win_longs': '0.7844311377245509', 'win_shorts': '0.8497854077253219'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.699599999999992', 'cash': '0.22750000000000048', 'portfolio_value': '4.58752', 'net': '4.8150200000000005', 'total_profit': '-0.19657999999999576', 'win_trades': '230', 'winnning_percent': '0.5411764705882353', 'total_trades': '425', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '267', 'total_shorts': '158', 'win_longs': '0.49812734082397003', 'win_shorts': '0.6139240506329114'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:32| Highest Reward:2.1145788980373275| Average Reward:-40.10048376711447| std Reward: 45.56625861724266| Stagnation: 25| Population size: 256:  32%|███▏      | 32/100 [32:23<1:09:11, 61.05s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.049399999999759', 'cash': '7.496229999999988', 'portfolio_value': '-2.29376', 'net': '5.202469999999988', 'total_profit': '0.20306000000002133', 'win_trades': '1900', 'winnning_percent': '0.7929883138564274', 'total_trades': '2396', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1330', 'total_shorts': '1066', 'win_longs': '0.7924812030075188', 'win_shorts': '0.7936210131332082'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:33| Highest Reward:1.8371534280640147| Average Reward:-47.13269741562285| std Reward: 46.91260027719328| Stagnation: 26| Population size: 256:  32%|███▏      | 32/100 [33:19<1:09:11, 61.05s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-2.122799999999836', 'cash': '9.857140000000008', 'portfolio_value': '-4.96328', 'net': '4.893860000000008', 'total_profit': '-0.06802999999999249', 'win_trades': '334', 'winnning_percent': '0.7324561403508771', 'total_trades': '456', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '234', 'total_shorts': '222', 'win_longs': '0.7307692307692307', 'win_shorts': '0.7342342342342343'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.557999999999195', 'cash': '10.14117999999996', 'portfolio_value': '-4.96328', 'net': '5.177899999999959', 'total_profit': '0.1865399999999886', 'win_trades': '872', 'winnning_percent': '0.8014705882352942', 'total_trades': '1088', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '597', 'total_shorts': '491', 'win_longs': '0.7906197654941374', 'win_shorts': '0.814663951120163'}\n",
      "Test Data (best)->>  {'cash_profit': '2.4409999999999155', 'cash': '9.709569999999996', 'portfolio_value': '-4.58752', 'net': '5.122049999999996', 'total_profit': '0.16713000000000022', 'win_trades': '572', 'winnning_percent': '0.6866746698679472', 'total_trades': '833', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '420', 'total_shorts': '413', 'win_longs': '0.7166666666666667', 'win_shorts': '0.6561743341404358'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:33| Highest Reward:1.8371534280640147| Average Reward:-47.13269741562285| std Reward: 46.91260027719328| Stagnation: 26| Population size: 256:  33%|███▎      | 33/100 [33:24<1:08:13, 61.10s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '2.6668000000003245', 'cash': '9.720860000000016', 'portfolio_value': '-4.58752', 'net': '5.1333400000000164', 'total_profit': '0.1383799999999995', 'win_trades': '2460', 'winnning_percent': '0.7925257731958762', 'total_trades': '3104', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1694', 'total_shorts': '1410', 'win_longs': '0.7981109799291618', 'win_shorts': '0.7858156028368795'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:34| Highest Reward:1.7560454812116943| Average Reward:-38.966783892824594| std Reward: 47.040214602776196| Stagnation: 27| Population size: 256:  33%|███▎      | 33/100 [34:21<1:08:13, 61.10s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-6.6844000000003785', 'cash': '9.629059999999981', 'portfolio_value': '-4.96328', 'net': '4.665779999999981', 'total_profit': '-0.31556999999999524', 'win_trades': '469', 'winnning_percent': '0.6541143654114365', 'total_trades': '717', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '384', 'total_shorts': '333', 'win_longs': '0.6432291666666666', 'win_shorts': '0.6666666666666666'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '0.08839999999987747', 'cash': '9.967699999999994', 'portfolio_value': '-4.96328', 'net': '5.004419999999993', 'total_profit': '0.02306999999998438', 'win_trades': '801', 'winnning_percent': '0.7868369351669942', 'total_trades': '1018', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '516', 'total_shorts': '502', 'win_longs': '0.8023255813953488', 'win_shorts': '0.7709163346613546'}\n",
      "Test Data (best)->>  {'cash_profit': '-0.328599999999446', 'cash': '7.277330000000028', 'portfolio_value': '-2.29376', 'net': '4.983570000000028', 'total_profit': '-0.015839999999988974', 'win_trades': '1271', 'winnning_percent': '0.6488004083716181', 'total_trades': '1959', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1075', 'total_shorts': '884', 'win_longs': '0.6567441860465116', 'win_shorts': '0.6391402714932126'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:34| Highest Reward:1.7560454812116943| Average Reward:-38.966783892824594| std Reward: 47.040214602776196| Stagnation: 27| Population size: 256:  34%|███▍      | 34/100 [34:25<1:07:20, 61.22s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.330800000000504', 'cash': '10.054060000000025', 'portfolio_value': '-4.58752', 'net': '5.466540000000025', 'total_profit': '0.4735099999999848', 'win_trades': '1902', 'winnning_percent': '0.7611044417767107', 'total_trades': '2499', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1276', 'total_shorts': '1223', 'win_longs': '0.7829153605015674', 'win_shorts': '0.7383483237939493'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:35| Highest Reward:1.690835687346477| Average Reward:-40.8738771175576| std Reward: 46.96497737883267| Stagnation: 28| Population size: 256:  34%|███▍      | 34/100 [35:22<1:07:20, 61.22s/ gen]    "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.803599999999642', 'cash': '10.253459999999983', 'portfolio_value': '-4.96328', 'net': '5.290179999999983', 'total_profit': '0.29881999999998965', 'win_trades': '1012', 'winnning_percent': '0.8329218106995885', 'total_trades': '1215', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '650', 'total_shorts': '565', 'win_longs': '0.8323076923076923', 'win_shorts': '0.8336283185840708'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:35| Highest Reward:1.690835687346477| Average Reward:-40.8738771175576| std Reward: 46.96497737883267| Stagnation: 28| Population size: 256:  35%|███▌      | 35/100 [35:26<1:06:10, 61.08s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.763800000001095', 'cash': '9.825710000000054', 'portfolio_value': '-4.58752', 'net': '5.2381900000000545', 'total_profit': '0.24323000000001294', 'win_trades': '2679', 'winnning_percent': '0.8100997883277895', 'total_trades': '3307', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1774', 'total_shorts': '1533', 'win_longs': '0.814543404735062', 'win_shorts': '0.8049575994781474'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:36| Highest Reward:2.0777256744300567| Average Reward:-36.54356576101161| std Reward: 44.7563620358947| Stagnation: 29| Population size: 256:  35%|███▌      | 35/100 [36:24<1:06:10, 61.08s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.301799999999716', 'cash': '0.4518099999999856', 'portfolio_value': '4.96328', 'net': '5.415089999999986', 'total_profit': '0.39909000000000217', 'win_trades': '236', 'winnning_percent': '0.3592085235920852', 'total_trades': '657', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '376', 'total_shorts': '281', 'win_longs': '0.36436170212765956', 'win_shorts': '0.35231316725978645'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '4.553199999999946', 'cash': '10.190939999999998', 'portfolio_value': '-4.96328', 'net': '5.2276599999999975', 'total_profit': '0.2299199999999877', 'win_trades': '634', 'winnning_percent': '0.6264822134387352', 'total_trades': '1012', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '537', 'total_shorts': '475', 'win_longs': '0.6443202979515829', 'win_shorts': '0.6063157894736843'}\n",
      "Test Data (best)->>  {'cash_profit': '-0.9912000000001031', 'cash': '0.3629199999999957', 'portfolio_value': '4.58752', 'net': '4.950439999999995', 'total_profit': '-0.06573999999999791', 'win_trades': '398', 'winnning_percent': '0.258777633289987', 'total_trades': '1538', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '879', 'total_shorts': '659', 'win_longs': '0.2707622298065984', 'win_shorts': '0.24279210925644917'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:36| Highest Reward:2.0777256744300567| Average Reward:-36.54356576101161| std Reward: 44.7563620358947| Stagnation: 29| Population size: 256:  36%|███▌      | 36/100 [36:29<1:05:36, 61.51s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-1.2515999999998528', 'cash': '7.231180000000007', 'portfolio_value': '-2.29376', 'net': '4.9374200000000075', 'total_profit': '-0.06198999999998733', 'win_trades': '1917', 'winnning_percent': '0.5992497655517349', 'total_trades': '3199', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1680', 'total_shorts': '1519', 'win_longs': '0.611904761904762', 'win_shorts': '0.5852534562211982'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:37| Highest Reward:2.287877597525869| Average Reward:-26.440432606297893| std Reward: 41.154975694634174| Stagnation: 1| Population size: 256:  36%|███▌      | 36/100 [37:27<1:05:36, 61.51s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.8856000000002204', 'cash': '9.86899999999999', 'portfolio_value': '-4.96328', 'net': '4.905719999999989', 'total_profit': '-0.08071000000000916', 'win_trades': '755', 'winnning_percent': '0.7294685990338164', 'total_trades': '1035', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '533', 'total_shorts': '502', 'win_longs': '0.7335834896810507', 'win_shorts': '0.7250996015936255'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '0.6552000000000113', 'cash': '9.99604', 'portfolio_value': '-4.96328', 'net': '5.032760000000001', 'total_profit': '0.06921999999999362', 'win_trades': '279', 'winnning_percent': '0.6957605985037406', 'total_trades': '401', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '204', 'total_shorts': '197', 'win_longs': '0.696078431372549', 'win_shorts': '0.6954314720812182'}\n",
      "Test Data (best)->>  {'cash_profit': '5.579399999999701', 'cash': '9.866489999999985', 'portfolio_value': '-4.58752', 'net': '5.278969999999985', 'total_profit': '0.284009999999959', 'win_trades': '2374', 'winnning_percent': '0.7658064516129032', 'total_trades': '3100', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1616', 'total_shorts': '1484', 'win_longs': '0.7803217821782178', 'win_shorts': '0.75'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:37| Highest Reward:2.287877597525869| Average Reward:-26.440432606297893| std Reward: 41.154975694634174| Stagnation: 1| Population size: 256:  37%|███▋      | 37/100 [37:31<1:04:57, 61.87s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '3.524999999999845', 'cash': '9.763769999999992', 'portfolio_value': '-4.58752', 'net': '5.1762499999999925', 'total_profit': '0.19243000000001342', 'win_trades': '281', 'winnning_percent': '0.669047619047619', 'total_trades': '420', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '211', 'total_shorts': '209', 'win_longs': '0.7061611374407583', 'win_shorts': '0.631578947368421'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:38| Highest Reward:1.955707261323596| Average Reward:-24.318973236624366| std Reward: 39.04334775243358| Stagnation: 2| Population size: 256:  37%|███▋      | 37/100 [38:29<1:04:57, 61.87s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '9.726599999999518', 'cash': '0.5230499999999756', 'portfolio_value': '4.96328', 'net': '5.486329999999976', 'total_profit': '0.48155999999998955', 'win_trades': '584', 'winnning_percent': '0.674364896073903', 'total_trades': '866', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '476', 'total_shorts': '390', 'win_longs': '0.6722689075630253', 'win_shorts': '0.676923076923077'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '6.021800000000033', 'cash': '0.33781000000000083', 'portfolio_value': '4.96328', 'net': '5.301090000000001', 'total_profit': '0.28243999999999736', 'win_trades': '135', 'winnning_percent': '0.23893805309734514', 'total_trades': '565', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '304', 'total_shorts': '261', 'win_longs': '0.26973684210526316', 'win_shorts': '0.20306513409961685'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:38| Highest Reward:1.955707261323596| Average Reward:-24.318973236624366| std Reward: 39.04334775243358| Stagnation: 2| Population size: 256:  38%|███▊      | 38/100 [38:32<1:03:32, 61.50s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (best)->>  {'cash_profit': '2.6055999999998525', 'cash': '2.836519999999993', 'portfolio_value': '2.29376', 'net': '5.130279999999993', 'total_profit': '0.12968999999997832', 'win_trades': '1806', 'winnning_percent': '0.6706275529149647', 'total_trades': '2693', 'holdings': '2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1448', 'total_shorts': '1245', 'win_longs': '0.6747237569060773', 'win_shorts': '0.665863453815261'}\n",
      "Test Data (latest)->>  {'cash_profit': '-2.5355999999998047', 'cash': '9.86746000000001', 'portfolio_value': '-4.9942400000000005', 'net': '4.87322000000001', 'total_profit': '-0.13724000000000403', 'win_trades': '49', 'winnning_percent': '0.22897196261682243', 'total_trades': '214', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '113', 'total_shorts': '101', 'win_longs': '0.3008849557522124', 'win_shorts': '0.1485148514851485'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:39| Highest Reward:1.964462767947745| Average Reward:-29.888632344937946| std Reward: 42.97885078495621| Stagnation: 3| Population size: 256:  38%|███▊      | 38/100 [39:31<1:03:32, 61.50s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.157599999999924', 'cash': '0.594599999999996', 'portfolio_value': '4.96328', 'net': '5.557879999999996', 'total_profit': '0.5302799999999908', 'win_trades': '307', 'winnning_percent': '0.7580246913580246', 'total_trades': '405', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '267', 'total_shorts': '138', 'win_longs': '0.6966292134831461', 'win_shorts': '0.8768115942028986'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.4003999999999035', 'cash': '10.133299999999995', 'portfolio_value': '-4.96328', 'net': '5.170019999999995', 'total_profit': '0.1996199999999997', 'win_trades': '350', 'winnning_percent': '0.6972111553784861', 'total_trades': '502', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '252', 'total_shorts': '250', 'win_longs': '0.7380952380952381', 'win_shorts': '0.656'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:39| Highest Reward:1.964462767947745| Average Reward:-29.888632344937946| std Reward: 42.97885078495621| Stagnation: 3| Population size: 256:  39%|███▉      | 39/100 [39:34<1:02:35, 61.57s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (best)->>  {'cash_profit': '-2.4311999999996226', 'cash': '6.025320000000018', 'portfolio_value': '-1.14688', 'net': '4.878440000000019', 'total_profit': '-0.12155999999997369', 'win_trades': '915', 'winnning_percent': '0.7093023255813954', 'total_trades': '1290', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '825', 'total_shorts': '465', 'win_longs': '0.696969696969697', 'win_shorts': '0.7311827956989247'}\n",
      "Test Data (latest)->>  {'cash_profit': '-3.4846000000001154', 'cash': '9.820009999999995', 'portfolio_value': '-4.9942400000000005', 'net': '4.825769999999994', 'total_profit': '-0.1883600000000034', 'win_trades': '108', 'winnning_percent': '0.7605633802816901', 'total_trades': '142', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '71', 'total_shorts': '71', 'win_longs': '0.8169014084507042', 'win_shorts': '0.704225352112676'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:40| Highest Reward:1.8910147581912309| Average Reward:-25.868598071482246| std Reward: 41.407231747075045| Stagnation: 4| Population size: 256:  39%|███▉      | 39/100 [40:30<1:02:35, 61.57s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.57720000000026', 'cash': '10.242140000000013', 'portfolio_value': '-4.96328', 'net': '5.278860000000013', 'total_profit': '0.30845999999999574', 'win_trades': '458', 'winnning_percent': '0.7937608318890814', 'total_trades': '577', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '289', 'total_shorts': '288', 'win_longs': '0.8304498269896193', 'win_shorts': '0.7569444444444444'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:40| Highest Reward:1.8910147581912309| Average Reward:-25.868598071482246| std Reward: 41.407231747075045| Stagnation: 4| Population size: 256:  40%|████      | 40/100 [40:33<1:00:53, 60.89s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Test Data (latest)->>  {'cash_profit': '-2.0487999999999396', 'cash': '9.897680000000003', 'portfolio_value': '-5.00012', 'net': '4.897560000000003', 'total_profit': '-0.10444000000000253', 'win_trades': '69', 'winnning_percent': '0.7840909090909091', 'total_trades': '88', 'holdings': '-4', 'step_value': '722', 'max_holdings': '4', 'total_longs': '44', 'total_shorts': '44', 'win_longs': '0.8863636363636364', 'win_shorts': '0.6818181818181818'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:41| Highest Reward:2.33369261998358| Average Reward:-17.913942416716917| std Reward: 34.97782148707288| Stagnation: 1| Population size: 256:  40%|████      | 40/100 [41:31<1:00:53, 60.89s/ gen]   "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '3.537200000000329', 'cash': '10.140140000000017', 'portfolio_value': '-4.96328', 'net': '5.1768600000000164', 'total_profit': '0.2033999999999947', 'win_trades': '271', 'winnning_percent': '0.653012048192771', 'total_trades': '415', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '208', 'total_shorts': '207', 'win_longs': '0.6875', 'win_shorts': '0.6183574879227053'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '4.371799999999859', 'cash': '10.181869999999993', 'portfolio_value': '-4.96328', 'net': '5.218589999999993', 'total_profit': '0.237239999999991', 'win_trades': '916', 'winnning_percent': '0.8380603842634949', 'total_trades': '1093', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '572', 'total_shorts': '521', 'win_longs': '0.8444055944055944', 'win_shorts': '0.8310940499040307'}\n",
      "Test Data (best)->>  {'cash_profit': '7.70059999999948', 'cash': '9.972549999999973', 'portfolio_value': '-4.58752', 'net': '5.385029999999974', 'total_profit': '0.400709999999995', 'win_trades': '407', 'winnning_percent': '0.6851851851851852', 'total_trades': '594', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '297', 'total_shorts': '297', 'win_longs': '0.6801346801346801', 'win_shorts': '0.6902356902356902'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:41| Highest Reward:2.33369261998358| Average Reward:-17.913942416716917| std Reward: 34.97782148707288| Stagnation: 1| Population size: 256:  41%|████      | 41/100 [41:35<1:00:21, 61.38s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.843000000001821', 'cash': '9.979670000000091', 'portfolio_value': '-4.58752', 'net': '5.3921500000000915', 'total_profit': '0.39718999999998994', 'win_trades': '2448', 'winnning_percent': '0.816', 'total_trades': '3000', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1594', 'total_shorts': '1406', 'win_longs': '0.820577164366374', 'win_shorts': '0.8108108108108109'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:42| Highest Reward:2.3992487523869093| Average Reward:-31.41763857540466| std Reward: 44.57337157820111| Stagnation: 1| Population size: 256:  41%|████      | 41/100 [42:35<1:00:21, 61.38s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-2.244199999999963', 'cash': '9.851070000000002', 'portfolio_value': '-4.96328', 'net': '4.887790000000002', 'total_profit': '0.08749999999999925', 'win_trades': '2', 'winnning_percent': '0.5', 'total_trades': '4', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '2', 'total_shorts': '2', 'win_longs': '0.0', 'win_shorts': '1.0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.774000000000057', 'cash': '10.251980000000003', 'portfolio_value': '-4.96328', 'net': '5.288700000000003', 'total_profit': '0.30226999999999826', 'win_trades': '905', 'winnning_percent': '0.7662997459779848', 'total_trades': '1181', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '616', 'total_shorts': '565', 'win_longs': '0.7775974025974026', 'win_shorts': '0.7539823008849558'}\n",
      "Test Data (best)->>  {'cash_profit': '4.3314000000000075', 'cash': '9.80409', 'portfolio_value': '-4.58752', 'net': '5.216570000000001', 'total_profit': '0.1500999999999999', 'win_trades': '1', 'winnning_percent': '0.25', 'total_trades': '4', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '2', 'total_shorts': '2', 'win_longs': '0.0', 'win_shorts': '0.5'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:42| Highest Reward:2.3992487523869093| Average Reward:-31.41763857540466| std Reward: 44.57337157820111| Stagnation: 1| Population size: 256:  42%|████▏     | 42/100 [42:40<1:00:14, 62.31s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '11.688800000000409', 'cash': '10.17196000000002', 'portfolio_value': '-4.58752', 'net': '5.58444000000002', 'total_profit': '0.5894799999999922', 'win_trades': '2561', 'winnning_percent': '0.7686074429771909', 'total_trades': '3332', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1754', 'total_shorts': '1578', 'win_longs': '0.7782212086659065', 'win_shorts': '0.7579214195183777'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:43| Highest Reward:1.7480167446404322| Average Reward:-20.731132243855242| std Reward: 38.140832478169926| Stagnation: 2| Population size: 256:  42%|████▏     | 42/100 [43:39<1:00:14, 62.31s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-0.5515999999999854', 'cash': '9.9357', 'portfolio_value': '-4.96328', 'net': '4.9724200000000005', 'total_profit': '0.07380000000000075', 'win_trades': '11', 'winnning_percent': '0.5238095238095238', 'total_trades': '21', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '11', 'total_shorts': '10', 'win_longs': '0.5454545454545454', 'win_shorts': '0.5'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '8.30459999999944', 'cash': '0.45194999999997165', 'portfolio_value': '4.96328', 'net': '5.415229999999972', 'total_profit': '0.41045999999998073', 'win_trades': '477', 'winnning_percent': '0.75', 'total_trades': '636', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '377', 'total_shorts': '259', 'win_longs': '0.7347480106100795', 'win_shorts': '0.7722007722007722'}\n",
      "Test Data (best)->>  {'cash_profit': '5.091200000000096', 'cash': '9.842080000000005', 'portfolio_value': '-4.58752', 'net': '5.254560000000005', 'total_profit': '0.2707399999999982', 'win_trades': '35', 'winnning_percent': '0.6481481481481481', 'total_trades': '54', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '27', 'total_shorts': '27', 'win_longs': '0.6666666666666666', 'win_shorts': '0.6296296296296297'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:43| Highest Reward:1.7480167446404322| Average Reward:-20.731132243855242| std Reward: 38.140832478169926| Stagnation: 2| Population size: 256:  43%|████▎     | 43/100 [43:44<59:40, 62.81s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '1.4416000000002427', 'cash': '1.6314400000000129', 'portfolio_value': '3.4406399999999997', 'net': '5.072080000000012', 'total_profit': '0.07027999999999568', 'win_trades': '2116', 'winnning_percent': '0.7677793904208998', 'total_trades': '2756', 'holdings': '3', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1531', 'total_shorts': '1225', 'win_longs': '0.7700849118223383', 'win_shorts': '0.7648979591836734'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:44| Highest Reward:1.8446388121562223| Average Reward:-24.050398033608133| std Reward: 40.317609388954786| Stagnation: 3| Population size: 256:  43%|████▎     | 43/100 [44:42<59:40, 62.81s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '2.3625999999999703', 'cash': '10.081409999999998', 'portfolio_value': '-4.96328', 'net': '5.118129999999998', 'total_profit': '0.13677999999998836', 'win_trades': '723', 'winnning_percent': '0.791894852135816', 'total_trades': '913', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '465', 'total_shorts': '448', 'win_longs': '0.8086021505376344', 'win_shorts': '0.7745535714285714'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.700999999999912', 'cash': '10.248329999999996', 'portfolio_value': '-4.96328', 'net': '5.285049999999996', 'total_profit': '0.2873099999999922', 'win_trades': '500', 'winnning_percent': '0.7849293563579278', 'total_trades': '637', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '386', 'total_shorts': '251', 'win_longs': '0.7694300518134715', 'win_shorts': '0.8087649402390438'}\n",
      "Test Data (best)->>  {'cash_profit': '9.427400000000619', 'cash': '10.05889000000003', 'portfolio_value': '-4.58752', 'net': '5.4713700000000305', 'total_profit': '0.4764099999999838', 'win_trades': '2075', 'winnning_percent': '0.7865807429871114', 'total_trades': '2638', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1355', 'total_shorts': '1283', 'win_longs': '0.8044280442804428', 'win_shorts': '0.7677318784099766'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:44| Highest Reward:1.8446388121562223| Average Reward:-24.050398033608133| std Reward: 40.317609388954786| Stagnation: 3| Population size: 256:  44%|████▍     | 44/100 [44:47<58:36, 62.79s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '2.886799999999723', 'cash': '7.438099999999986', 'portfolio_value': '-2.29376', 'net': '5.144339999999986', 'total_profit': '0.14493000000001044', 'win_trades': '1069', 'winnning_percent': '0.7528169014084507', 'total_trades': '1420', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '895', 'total_shorts': '525', 'win_longs': '0.7307262569832402', 'win_shorts': '0.7904761904761904'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:45| Highest Reward:2.1184916073798696| Average Reward:-17.35105334907597| std Reward: 34.675282092770644| Stagnation: 4| Population size: 256:  44%|████▍     | 44/100 [45:45<58:36, 62.79s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.199400000000117', 'cash': '0.09669000000000616', 'portfolio_value': '4.96328', 'net': '5.059970000000006', 'total_profit': '-0.06945999999999475', 'win_trades': '19', 'winnning_percent': '0.27941176470588236', 'total_trades': '68', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '42', 'total_shorts': '26', 'win_longs': '0.2857142857142857', 'win_shorts': '0.2692307692307692'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-1.7143999999998827', 'cash': '9.877560000000006', 'portfolio_value': '-4.96328', 'net': '4.914280000000006', 'total_profit': '-0.06707000000001195', 'win_trades': '713', 'winnning_percent': '0.7843784378437844', 'total_trades': '909', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '464', 'total_shorts': '445', 'win_longs': '0.7974137931034483', 'win_shorts': '0.7707865168539326'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.360599999999825', 'cash': '0.24445000000000916', 'portfolio_value': '4.58752', 'net': '4.831970000000009', 'total_profit': '-0.23714999999999864', 'win_trades': '28', 'winnning_percent': '0.2978723404255319', 'total_trades': '94', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '63', 'total_shorts': '31', 'win_longs': '0.23809523809523808', 'win_shorts': '0.41935483870967744'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:45| Highest Reward:2.1184916073798696| Average Reward:-17.35105334907597| std Reward: 34.675282092770644| Stagnation: 4| Population size: 256:  45%|████▌     | 45/100 [45:50<57:35, 62.83s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.967000000000791', 'cash': '10.085870000000039', 'portfolio_value': '-4.58752', 'net': '5.498350000000039', 'total_profit': '0.5053200000000158', 'win_trades': '1840', 'winnning_percent': '0.7790008467400508', 'total_trades': '2362', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1214', 'total_shorts': '1148', 'win_longs': '0.7940691927512356', 'win_shorts': '0.7630662020905923'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:46| Highest Reward:1.9264227757060621| Average Reward:-18.487016966480745| std Reward: 35.7303225798301| Stagnation: 5| Population size: 256:  45%|████▌     | 45/100 [46:48<57:35, 62.83s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '0.6846000000002794', 'cash': '9.997510000000014', 'portfolio_value': '-4.96328', 'net': '5.034230000000014', 'total_profit': '0.06541999999999404', 'win_trades': '480', 'winnning_percent': '0.6274509803921569', 'total_trades': '765', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '385', 'total_shorts': '380', 'win_longs': '0.6311688311688312', 'win_shorts': '0.6236842105263158'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '8.470799999999468', 'cash': '4.182719999999973', 'portfolio_value': '1.24082', 'net': '5.423539999999973', 'total_profit': '0.42353999999998315', 'win_trades': '581', 'winnning_percent': '0.7624671916010499', 'total_trades': '762', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '435', 'total_shorts': '327', 'win_longs': '0.7402298850574712', 'win_shorts': '0.7920489296636085'}\n",
      "Test Data (best)->>  {'cash_profit': '-2.9824000000001627', 'cash': '9.845119999999993', 'portfolio_value': '-4.9942400000000005', 'net': '4.850879999999992', 'total_profit': '-0.16325000000000167', 'win_trades': '161', 'winnning_percent': '0.6363636363636364', 'total_trades': '253', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '128', 'total_shorts': '125', 'win_longs': '0.6640625', 'win_shorts': '0.608'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:46| Highest Reward:1.9264227757060621| Average Reward:-18.487016966480745| std Reward: 35.7303225798301| Stagnation: 5| Population size: 256:  46%|████▌     | 46/100 [46:51<56:14, 62.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.060400000000014', 'cash': '8.943660000000001', 'portfolio_value': '-3.4406399999999997', 'net': '5.503020000000001', 'total_profit': '0.5048200000000098', 'win_trades': '2188', 'winnning_percent': '0.7384407694903814', 'total_trades': '2963', 'holdings': '-3', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1609', 'total_shorts': '1354', 'win_longs': '0.742697327532629', 'win_shorts': '0.7333825701624815'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:47| Highest Reward:2.0898308678468274| Average Reward:-24.522774476259492| std Reward: 41.571333093197076| Stagnation: 6| Population size: 256:  46%|████▌     | 46/100 [47:50<56:14, 62.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '7.174999999999532', 'cash': '10.322029999999977', 'portfolio_value': '-4.96328', 'net': '5.358749999999977', 'total_profit': '0.3740499999999918', 'win_trades': '576', 'winnning_percent': '0.6873508353221957', 'total_trades': '838', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '427', 'total_shorts': '411', 'win_longs': '0.711943793911007', 'win_shorts': '0.6618004866180048'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.053399999999726', 'cash': '10.565949999999987', 'portfolio_value': '-4.96328', 'net': '5.6026699999999865', 'total_profit': '0.6113099999999982', 'win_trades': '1059', 'winnning_percent': '0.7926646706586826', 'total_trades': '1336', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '685', 'total_shorts': '651', 'win_longs': '0.8014598540145985', 'win_shorts': '0.783410138248848'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.9964000000000666', 'cash': '9.800299999999996', 'portfolio_value': '-5.00012', 'net': '4.800179999999997', 'total_profit': '-0.19975999999999927', 'win_trades': '68', 'winnning_percent': '0.5230769230769231', 'total_trades': '130', 'holdings': '-4', 'step_value': '722', 'max_holdings': '4', 'total_longs': '66', 'total_shorts': '64', 'win_longs': '0.6212121212121212', 'win_shorts': '0.421875'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:47| Highest Reward:2.0898308678468274| Average Reward:-24.522774476259492| std Reward: 41.571333093197076| Stagnation: 6| Population size: 256:  47%|████▋     | 47/100 [47:53<54:55, 62.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '14.232400000001522', 'cash': '10.299140000000076', 'portfolio_value': '-4.58752', 'net': '5.711620000000076', 'total_profit': '0.7166599999999985', 'win_trades': '2594', 'winnning_percent': '0.749494365790234', 'total_trades': '3461', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '5', 'total_longs': '1770', 'total_shorts': '1691', 'win_longs': '0.7536723163841808', 'win_shorts': '0.7451212300413956'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:48| Highest Reward:2.045789514633206| Average Reward:-15.791622361350534| std Reward: 34.711487711120114| Stagnation: 7| Population size: 256:  47%|████▋     | 47/100 [48:51<54:55, 62.18s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '4.8210000000002085', 'cash': '0.2777700000000096', 'portfolio_value': '4.96328', 'net': '5.24105000000001', 'total_profit': '0.20488000000000306', 'win_trades': '32', 'winnning_percent': '0.3595505617977528', 'total_trades': '89', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '57', 'total_shorts': '32', 'win_longs': '0.2631578947368421', 'win_shorts': '0.53125'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '6.655000000000166', 'cash': '10.296030000000009', 'portfolio_value': '-4.96328', 'net': '5.332750000000009', 'total_profit': '0.3463199999999915', 'win_trades': '884', 'winnning_percent': '0.768695652173913', 'total_trades': '1150', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '585', 'total_shorts': '565', 'win_longs': '0.7777777777777778', 'win_shorts': '0.7592920353982301'}\n",
      "Test Data (best)->>  {'cash_profit': '1.1781999999999293', 'cash': '0.47138999999999665', 'portfolio_value': '4.58752', 'net': '5.0589099999999965', 'total_profit': '0.0439699999999934', 'win_trades': '106', 'winnning_percent': '0.3241590214067278', 'total_trades': '327', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '193', 'total_shorts': '134', 'win_longs': '0.21243523316062177', 'win_shorts': '0.48507462686567165'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:48| Highest Reward:2.045789514633206| Average Reward:-15.791622361350534| std Reward: 34.711487711120114| Stagnation: 7| Population size: 256:  48%|████▊     | 48/100 [48:55<53:59, 62.29s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '8.420799999999918', 'cash': '10.008559999999996', 'portfolio_value': '-4.58752', 'net': '5.421039999999996', 'total_profit': '0.4260799999999829', 'win_trades': '2212', 'winnning_percent': '0.7490687436505249', 'total_trades': '2953', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1506', 'total_shorts': '1447', 'win_longs': '0.7529880478087649', 'win_shorts': '0.7449896337249482'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:49| Highest Reward:1.9642530278277532| Average Reward:-12.254362183770473| std Reward: 31.7496499184656| Stagnation: 8| Population size: 256:  48%|████▊     | 48/100 [49:53<53:59, 62.29s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '7.395599999999636', 'cash': '0.40649999999998165', 'portfolio_value': '4.96328', 'net': '5.369779999999982', 'total_profit': '0.33725999999999545', 'win_trades': '179', 'winnning_percent': '0.38085106382978723', 'total_trades': '470', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '292', 'total_shorts': '178', 'win_longs': '0.4075342465753425', 'win_shorts': '0.33707865168539325'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '4.693999999999843', 'cash': '3.993879999999992', 'portfolio_value': '1.24082', 'net': '5.234699999999992', 'total_profit': '0.2346999999999968', 'win_trades': '100', 'winnning_percent': '0.7575757575757576', 'total_trades': '132', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '98', 'total_shorts': '34', 'win_longs': '0.7346938775510204', 'win_shorts': '0.8235294117647058'}\n",
      "Test Data (best)->>  {'cash_profit': '0.756799999999691', 'cash': '5.037839999999984', 'portfolio_value': '0.0', 'net': '5.037839999999984', 'total_profit': '0.037839999999979446', 'win_trades': '548', 'winnning_percent': '0.37585733882030176', 'total_trades': '1458', 'holdings': '0', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '867', 'total_shorts': '591', 'win_longs': '0.4013840830449827', 'win_shorts': '0.338409475465313'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:49| Highest Reward:1.9642530278277532| Average Reward:-12.254362183770473| std Reward: 31.7496499184656| Stagnation: 8| Population size: 256:  49%|████▉     | 49/100 [49:57<52:50, 62.16s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '-1.4225999999997851', 'cash': '6.07575000000001', 'portfolio_value': '-1.14688', 'net': '4.9288700000000105', 'total_profit': '-0.07113000000000502', 'win_trades': '271', 'winnning_percent': '0.6302325581395349', 'total_trades': '430', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '282', 'total_shorts': '148', 'win_longs': '0.599290780141844', 'win_shorts': '0.6891891891891891'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:50| Highest Reward:2.4872781051889534| Average Reward:-17.833355830830975| std Reward: 36.19169908795217| Stagnation: 1| Population size: 256:  49%|████▉     | 49/100 [50:55<52:50, 62.16s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.276199999999983', 'cash': '9.89947', 'portfolio_value': '-4.96328', 'net': '4.936190000000001', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '6.109599999999893', 'cash': '10.268759999999995', 'portfolio_value': '-4.96328', 'net': '5.305479999999995', 'total_profit': '0.33201999999998444', 'win_trades': '465', 'winnning_percent': '0.7451923076923077', 'total_trades': '624', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '314', 'total_shorts': '310', 'win_longs': '0.7834394904458599', 'win_shorts': '0.7064516129032258'}\n",
      "Test Data (best)->>  {'cash_profit': '4.627399999999993', 'cash': '9.81889', 'portfolio_value': '-4.58752', 'net': '5.23137', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:50| Highest Reward:2.4872781051889534| Average Reward:-17.833355830830975| std Reward: 36.19169908795217| Stagnation: 1| Population size: 256:  50%|█████     | 50/100 [51:00<51:51, 62.24s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '12.007599999999785', 'cash': '10.187899999999988', 'portfolio_value': '-4.58752', 'net': '5.600379999999989', 'total_profit': '0.6054199999999907', 'win_trades': '1112', 'winnning_percent': '0.714193962748876', 'total_trades': '1557', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '787', 'total_shorts': '770', 'win_longs': '0.7509529860228716', 'win_shorts': '0.6766233766233766'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:51| Highest Reward:2.2931235598479844| Average Reward:-18.627430615476637| std Reward: 37.713592088959686| Stagnation: 2| Population size: 256:  50%|█████     | 50/100 [51:58<51:51, 62.24s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '5.4620000000000335', 'cash': '10.236380000000002', 'portfolio_value': '-4.96328', 'net': '5.273100000000002', 'total_profit': '0.28666999999999665', 'win_trades': '846', 'winnning_percent': '0.782608695652174', 'total_trades': '1081', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '585', 'total_shorts': '496', 'win_longs': '0.8068376068376069', 'win_shorts': '0.7540322580645161'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.608999999999707', 'cash': '10.143729999999985', 'portfolio_value': '-4.96328', 'net': '5.180449999999985', 'total_profit': '0.206989999999992', 'win_trades': '607', 'winnning_percent': '0.7903645833333334', 'total_trades': '768', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '390', 'total_shorts': '378', 'win_longs': '0.7974358974358975', 'win_shorts': '0.783068783068783'}\n",
      "Test Data (best)->>  {'cash_profit': '4.217999999999944', 'cash': '9.798419999999997', 'portfolio_value': '-4.58752', 'net': '5.210899999999997', 'total_profit': '0.2159400000000109', 'win_trades': '2167', 'winnning_percent': '0.7635658914728682', 'total_trades': '2838', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1562', 'total_shorts': '1276', 'win_longs': '0.7804097311139565', 'win_shorts': '0.7429467084639498'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:51| Highest Reward:2.2931235598479844| Average Reward:-18.627430615476637| std Reward: 37.713592088959686| Stagnation: 2| Population size: 256:  51%|█████     | 51/100 [52:02<50:55, 62.36s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.095400000000575', 'cash': '10.042290000000028', 'portfolio_value': '-4.58752', 'net': '5.454770000000028', 'total_profit': '0.4645999999999948', 'win_trades': '1481', 'winnning_percent': '0.7693506493506493', 'total_trades': '1925', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '975', 'total_shorts': '950', 'win_longs': '0.7764102564102564', 'win_shorts': '0.7621052631578947'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:52| Highest Reward:2.2157853321942826| Average Reward:-7.401735861588258| std Reward: 23.78221328705607| Stagnation: 3| Population size: 256:  51%|█████     | 51/100 [52:59<50:55, 62.36s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '1.276199999999994', 'cash': '0.10052999999999956', 'portfolio_value': '4.96328', 'net': '5.06381', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '7.1673999999998905', 'cash': '10.321649999999995', 'portfolio_value': '-4.96328', 'net': '5.3583699999999945', 'total_profit': '0.3770199999999908', 'win_trades': '750', 'winnning_percent': '0.8012820512820513', 'total_trades': '936', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '474', 'total_shorts': '462', 'win_longs': '0.8248945147679325', 'win_shorts': '0.7770562770562771'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.627400000000003', 'cash': '0.18111000000000033', 'portfolio_value': '4.58752', 'net': '4.76863', 'total_profit': '0.0', 'win_trades': '0', 'winnning_percent': '0', 'total_trades': '0', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '0', 'total_shorts': '0', 'win_longs': '0', 'win_shorts': '0'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:52| Highest Reward:2.2157853321942826| Average Reward:-7.401735861588258| std Reward: 23.78221328705607| Stagnation: 3| Population size: 256:  52%|█████▏    | 52/100 [53:04<49:43, 62.16s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '12.500799999999646', 'cash': '10.212559999999982', 'portfolio_value': '-4.58752', 'net': '5.6250399999999825', 'total_profit': '0.6311799999999796', 'win_trades': '1867', 'winnning_percent': '0.766735112936345', 'total_trades': '2435', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1240', 'total_shorts': '1195', 'win_longs': '0.7879032258064517', 'win_shorts': '0.7447698744769874'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:53| Highest Reward:2.059553350933838| Average Reward:-13.441240569991| std Reward: 31.477416290771448| Stagnation: 4| Population size: 256:  52%|█████▏    | 52/100 [54:02<49:43, 62.16s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '12.052000000000419', 'cash': '10.565880000000021', 'portfolio_value': '-4.96328', 'net': '5.602600000000021', 'total_profit': '0.6112399999999965', 'win_trades': '903', 'winnning_percent': '0.8076923076923077', 'total_trades': '1118', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '577', 'total_shorts': '541', 'win_longs': '0.830155979202773', 'win_shorts': '0.7837338262476895'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '4.536399999999974', 'cash': '10.1901', 'portfolio_value': '-4.96328', 'net': '5.226819999999999', 'total_profit': '0.25336000000000514', 'win_trades': '407', 'winnning_percent': '0.7537037037037037', 'total_trades': '540', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '271', 'total_shorts': '269', 'win_longs': '0.7970479704797048', 'win_shorts': '0.7100371747211895'}\n",
      "Test Data (best)->>  {'cash_profit': '13.269200000000115', 'cash': '10.250980000000006', 'portfolio_value': '-4.58752', 'net': '5.663460000000006', 'total_profit': '0.6685000000000041', 'win_trades': '2378', 'winnning_percent': '0.7799278451951459', 'total_trades': '3049', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '5', 'total_longs': '1575', 'total_shorts': '1474', 'win_longs': '0.7987301587301587', 'win_shorts': '0.7598371777476255'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:53| Highest Reward:2.059553350933838| Average Reward:-13.441240569991| std Reward: 31.477416290771448| Stagnation: 4| Population size: 256:  53%|█████▎    | 53/100 [54:07<48:50, 62.36s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.689199999999442', 'cash': '10.071979999999972', 'portfolio_value': '-4.58752', 'net': '5.484459999999972', 'total_profit': '0.4914299999999725', 'win_trades': '1068', 'winnning_percent': '0.7325102880658436', 'total_trades': '1458', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '736', 'total_shorts': '722', 'win_longs': '0.751358695652174', 'win_shorts': '0.7132963988919667'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:54| Highest Reward:2.5797721171252634| Average Reward:-8.387526069639772| std Reward: 24.901440768475695| Stagnation: 1| Population size: 256:  53%|█████▎    | 53/100 [55:04<48:50, 62.36s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '9.903399999999628', 'cash': '10.458449999999981', 'portfolio_value': '-4.96328', 'net': '5.495169999999981', 'total_profit': '0.5138199999999871', 'win_trades': '616', 'winnning_percent': '0.8268456375838926', 'total_trades': '745', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '410', 'total_shorts': '335', 'win_longs': '0.8121951219512196', 'win_shorts': '0.844776119402985'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.791800000000302', 'cash': '10.252870000000016', 'portfolio_value': '-4.96328', 'net': '5.289590000000016', 'total_profit': '0.30316000000000964', 'win_trades': '789', 'winnning_percent': '0.7571976967370442', 'total_trades': '1042', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '532', 'total_shorts': '510', 'win_longs': '0.7706766917293233', 'win_shorts': '0.7431372549019608'}\n",
      "Test Data (best)->>  {'cash_profit': '3.9950000000002373', 'cash': '9.787270000000012', 'portfolio_value': '-4.58752', 'net': '5.199750000000012', 'total_profit': '0.20269000000000426', 'win_trades': '1732', 'winnning_percent': '0.7894257064721969', 'total_trades': '2194', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1182', 'total_shorts': '1012', 'win_longs': '0.7774957698815567', 'win_shorts': '0.8033596837944664'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:54| Highest Reward:2.5797721171252634| Average Reward:-8.387526069639772| std Reward: 24.901440768475695| Stagnation: 1| Population size: 256:  54%|█████▍    | 54/100 [55:08<47:40, 62.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '11.334200000000184', 'cash': '10.154230000000009', 'portfolio_value': '-4.58752', 'net': '5.566710000000009', 'total_profit': '0.5717499999999787', 'win_trades': '1972', 'winnning_percent': '0.7572964669738863', 'total_trades': '2604', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1327', 'total_shorts': '1277', 'win_longs': '0.7701582516955539', 'win_shorts': '0.7439310884886453'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:55| Highest Reward:1.9729248012439906| Average Reward:-9.455127840654677| std Reward: 27.026470014350483| Stagnation: 2| Population size: 256:  54%|█████▍    | 54/100 [56:05<47:40, 62.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '6.312599999999913', 'cash': '10.278909999999996', 'portfolio_value': '-4.96328', 'net': '5.315629999999996', 'total_profit': '0.3421699999999894', 'win_trades': '650', 'winnning_percent': '0.7765830346475507', 'total_trades': '837', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '426', 'total_shorts': '411', 'win_longs': '0.7934272300469484', 'win_shorts': '0.7591240875912408'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.810399999999687', 'cash': '10.503799999999984', 'portfolio_value': '-4.96328', 'net': '5.540519999999984', 'total_profit': '0.5427799999999852', 'win_trades': '853', 'winnning_percent': '0.800187617260788', 'total_trades': '1066', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '596', 'total_shorts': '470', 'win_longs': '0.7919463087248322', 'win_shorts': '0.8106382978723404'}\n",
      "Test Data (best)->>  {'cash_profit': '-2.0701999999999443', 'cash': '9.896610000000003', 'portfolio_value': '-5.00012', 'net': '4.896490000000003', 'total_profit': '-0.10551000000000332', 'win_trades': '115', 'winnning_percent': '0.7876712328767124', 'total_trades': '146', 'holdings': '-4', 'step_value': '722', 'max_holdings': '4', 'total_longs': '73', 'total_shorts': '73', 'win_longs': '0.8493150684931506', 'win_shorts': '0.726027397260274'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:55| Highest Reward:1.9729248012439906| Average Reward:-9.455127840654677| std Reward: 27.026470014350483| Stagnation: 2| Population size: 256:  55%|█████▌    | 55/100 [56:08<46:06, 61.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.815199999998933', 'cash': '7.634519999999947', 'portfolio_value': '-2.29376', 'net': '5.340759999999947', 'total_profit': '0.3413499999999967', 'win_trades': '2423', 'winnning_percent': '0.793126022913257', 'total_trades': '3055', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1699', 'total_shorts': '1356', 'win_longs': '0.794585050029429', 'win_shorts': '0.7912979351032449'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:56| Highest Reward:2.4809081163059146| Average Reward:-4.519961760938122| std Reward: 18.688810663809733| Stagnation: 3| Population size: 256:  55%|█████▌    | 55/100 [57:05<46:06, 61.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '2.5043999999999844', 'cash': '0.16193999999999842', 'portfolio_value': '4.96328', 'net': '5.125219999999999', 'total_profit': '-0.03566999999999765', 'win_trades': '16', 'winnning_percent': '0.32653061224489793', 'total_trades': '49', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '30', 'total_shorts': '19', 'win_longs': '0.36666666666666664', 'win_shorts': '0.2631578947368421'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '8.637199999999456', 'cash': '10.395139999999973', 'portfolio_value': '-4.96328', 'net': '5.431859999999973', 'total_profit': '0.4341199999999801', 'win_trades': '778', 'winnning_percent': '0.7914547304170906', 'total_trades': '983', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '562', 'total_shorts': '421', 'win_longs': '0.7811387900355872', 'win_shorts': '0.8052256532066508'}\n",
      "Test Data (best)->>  {'cash_profit': '-4.133199999999948', 'cash': '0.20582000000000233', 'portfolio_value': '4.58752', 'net': '4.793340000000002', 'total_profit': '-0.2182600000000008', 'win_trades': '79', 'winnning_percent': '0.4817073170731707', 'total_trades': '164', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '103', 'total_shorts': '61', 'win_longs': '0.4854368932038835', 'win_shorts': '0.47540983606557374'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:56| Highest Reward:2.4809081163059146| Average Reward:-4.519961760938122| std Reward: 18.688810663809733| Stagnation: 3| Population size: 256:  56%|█████▌    | 56/100 [57:10<45:08, 61.57s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.965999999999673', 'cash': '7.692059999999984', 'portfolio_value': '-2.29376', 'net': '5.398299999999984', 'total_profit': '0.39889000000000174', 'win_trades': '2294', 'winnning_percent': '0.7736930860033727', 'total_trades': '2965', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1660', 'total_shorts': '1305', 'win_longs': '0.7740963855421686', 'win_shorts': '0.7731800766283525'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:57| Highest Reward:2.5039401157551686| Average Reward:-4.0818281101256| std Reward: 18.36840052403042| Stagnation: 4| Population size: 256:  56%|█████▌    | 56/100 [58:07<45:08, 61.57s/ gen]   "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '3.1415999999999444', 'cash': '0.1937999999999973', 'portfolio_value': '4.96328', 'net': '5.157079999999997', 'total_profit': '0.12505999999999973', 'win_trades': '33', 'winnning_percent': '0.66', 'total_trades': '50', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '33', 'total_shorts': '17', 'win_longs': '0.5757575757575758', 'win_shorts': '0.8235294117647058'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.747399999999875', 'cash': '6.778189999999994', 'portfolio_value': '-1.24082', 'net': '5.537369999999994', 'total_profit': '0.5370799999999964', 'win_trades': '274', 'winnning_percent': '0.6171171171171171', 'total_trades': '444', 'holdings': '-1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '273', 'total_shorts': '171', 'win_longs': '0.5970695970695971', 'win_shorts': '0.6491228070175439'}\n",
      "Test Data (best)->>  {'cash_profit': '-0.841800000000037', 'cash': '0.37038999999999844', 'portfolio_value': '4.58752', 'net': '4.957909999999998', 'total_profit': '-0.05702999999999103', 'win_trades': '138', 'winnning_percent': '0.6216216216216216', 'total_trades': '222', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '147', 'total_shorts': '75', 'win_longs': '0.5510204081632653', 'win_shorts': '0.76'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:57| Highest Reward:2.5039401157551686| Average Reward:-4.0818281101256| std Reward: 18.36840052403042| Stagnation: 4| Population size: 256:  57%|█████▋    | 57/100 [58:12<44:08, 61.59s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.388599999999878', 'cash': '6.466309999999993', 'portfolio_value': '-1.14688', 'net': '5.319429999999993', 'total_profit': '0.3194299999999983', 'win_trades': '765', 'winnning_percent': '0.58530986993114', 'total_trades': '1307', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '776', 'total_shorts': '531', 'win_longs': '0.5644329896907216', 'win_shorts': '0.615819209039548'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:58| Highest Reward:2.942773710766932| Average Reward:-5.6011045753232| std Reward: 20.79121628646868| Stagnation: 1| Population size: 256:  57%|█████▋    | 57/100 [59:08<44:08, 61.59s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '2.101400000000031', 'cash': '0.14179000000000075', 'portfolio_value': '4.96328', 'net': '5.105070000000001', 'total_profit': '-0.056419999999995696', 'win_trades': '15', 'winnning_percent': '0.3333333333333333', 'total_trades': '45', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '27', 'total_shorts': '18', 'win_longs': '0.3333333333333333', 'win_shorts': '0.3333333333333333'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '5.380799999999963', 'cash': '10.232319999999998', 'portfolio_value': '-4.96328', 'net': '5.269039999999998', 'total_profit': '0.2876899999999851', 'win_trades': '859', 'winnning_percent': '0.8065727699530516', 'total_trades': '1065', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '540', 'total_shorts': '525', 'win_longs': '0.825925925925926', 'win_shorts': '0.7866666666666666'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.355399999999986', 'cash': '0.24471000000000087', 'portfolio_value': '4.58752', 'net': '4.832230000000001', 'total_profit': '-0.23679999999999857', 'win_trades': '21', 'winnning_percent': '0.2625', 'total_trades': '80', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '50', 'total_shorts': '30', 'win_longs': '0.26', 'win_shorts': '0.26666666666666666'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:58| Highest Reward:2.942773710766932| Average Reward:-5.6011045753232| std Reward: 20.79121628646868| Stagnation: 1| Population size: 256:  58%|█████▊    | 58/100 [59:13<42:58, 61.40s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '13.171800000000179', 'cash': '10.246110000000009', 'portfolio_value': '-4.58752', 'net': '5.658590000000009', 'total_profit': '0.664729999999983', 'win_trades': '2104', 'winnning_percent': '0.7783943766185719', 'total_trades': '2703', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '5', 'total_longs': '1379', 'total_shorts': '1324', 'win_longs': '0.8013052936910805', 'win_shorts': '0.7545317220543807'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:59| Highest Reward:2.246410089785311| Average Reward:-4.10729605776845| std Reward: 17.455999541818077| Stagnation: 2| Population size: 256:  58%|█████▊    | 58/100 [1:00:10<42:58, 61.40s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.188400000000096', 'cash': '4.168600000000004', 'portfolio_value': '1.24082', 'net': '5.409420000000004', 'total_profit': '0.40942000000001166', 'win_trades': '491', 'winnning_percent': '0.42957130358705164', 'total_trades': '1143', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '614', 'total_shorts': '529', 'win_longs': '0.44136807817589574', 'win_shorts': '0.4158790170132325'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '7.079799999999903', 'cash': '4.113169999999995', 'portfolio_value': '1.24082', 'net': '5.353989999999995', 'total_profit': '0.3539900000000056', 'win_trades': '170', 'winnning_percent': '0.7555555555555555', 'total_trades': '225', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '161', 'total_shorts': '64', 'win_longs': '0.7142857142857143', 'win_shorts': '0.859375'}\n",
      "Test Data (best)->>  {'cash_profit': '0.5050000000003996', 'cash': '10.01949000000002', 'portfolio_value': '-4.9942400000000005', 'net': '5.02525000000002', 'total_profit': '0.014790000000002523', 'win_trades': '161', 'winnning_percent': '0.44972067039106145', 'total_trades': '358', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '192', 'total_shorts': '166', 'win_longs': '0.4895833333333333', 'win_shorts': '0.4036144578313253'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:59| Highest Reward:2.246410089785311| Average Reward:-4.10729605776845| std Reward: 17.455999541818077| Stagnation: 2| Population size: 256:  59%|█████▉    | 59/100 [1:00:13<41:44, 61.08s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '1.9270000000000786', 'cash': '5.096350000000004', 'portfolio_value': '0.0', 'net': '5.096350000000004', 'total_profit': '0.09635000000000371', 'win_trades': '510', 'winnning_percent': '0.7083333333333334', 'total_trades': '720', 'holdings': '0', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '487', 'total_shorts': '233', 'win_longs': '0.6694045174537988', 'win_shorts': '0.7896995708154506'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:60| Highest Reward:2.4767891377754916| Average Reward:-3.032250981515154| std Reward: 15.450160020329895| Stagnation: 3| Population size: 256:  59%|█████▉    | 59/100 [1:01:11<41:44, 61.08s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '9.452199999999799', 'cash': '10.43588999999999', 'portfolio_value': '-4.96328', 'net': '5.47260999999999', 'total_profit': '0.4748699999999886', 'win_trades': '457', 'winnning_percent': '0.7865748709122203', 'total_trades': '581', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '355', 'total_shorts': '226', 'win_longs': '0.7464788732394366', 'win_shorts': '0.8495575221238938'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.863399999999812', 'cash': '10.50644999999999', 'portfolio_value': '-4.96328', 'net': '5.54316999999999', 'total_profit': '0.5454300000000081', 'win_trades': '518', 'winnning_percent': '0.7540029112081513', 'total_trades': '687', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '409', 'total_shorts': '278', 'win_longs': '0.7457212713936431', 'win_shorts': '0.7661870503597122'}\n",
      "Test Data (best)->>  {'cash_profit': '4.34959999999962', 'cash': '7.511239999999981', 'portfolio_value': '-2.29376', 'net': '5.2174799999999815', 'total_profit': '0.21807000000001797', 'win_trades': '1465', 'winnning_percent': '0.7876344086021505', 'total_trades': '1860', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1076', 'total_shorts': '784', 'win_longs': '0.7639405204460966', 'win_shorts': '0.8201530612244898'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:60| Highest Reward:2.4767891377754916| Average Reward:-3.032250981515154| std Reward: 15.450160020329895| Stagnation: 3| Population size: 256:  60%|██████    | 60/100 [1:01:15<40:58, 61.47s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '12.160399999999205', 'cash': '6.75489999999996', 'portfolio_value': '-1.14688', 'net': '5.608019999999961', 'total_profit': '0.6080200000000042', 'win_trades': '1094', 'winnning_percent': '0.624785836664763', 'total_trades': '1751', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '5', 'total_longs': '1027', 'total_shorts': '724', 'win_longs': '0.629016553067186', 'win_shorts': '0.6187845303867403'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:61| Highest Reward:2.253702647149113| Average Reward:-2.5893867375672865| std Reward: 14.693818478189998| Stagnation: 4| Population size: 256:  60%|██████    | 60/100 [1:02:14<40:58, 61.47s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '12.557399999999518', 'cash': '10.591149999999976', 'portfolio_value': '-4.96328', 'net': '5.627869999999976', 'total_profit': '0.6422299999999939', 'win_trades': '387', 'winnning_percent': '0.730188679245283', 'total_trades': '530', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '288', 'total_shorts': '242', 'win_longs': '0.7118055555555556', 'win_shorts': '0.7520661157024794'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.557399999999518', 'cash': '10.591149999999976', 'portfolio_value': '-4.96328', 'net': '5.627869999999976', 'total_profit': '0.6422299999999939', 'win_trades': '387', 'winnning_percent': '0.730188679245283', 'total_trades': '530', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '288', 'total_shorts': '242', 'win_longs': '0.7118055555555556', 'win_shorts': '0.7520661157024794'}\n",
      "Test Data (best)->>  {'cash_profit': '6.834000000000162', 'cash': '9.929220000000008', 'portfolio_value': '-4.58752', 'net': '5.341700000000008', 'total_profit': '0.3446399999999983', 'win_trades': '1014', 'winnning_percent': '0.6791694574681849', 'total_trades': '1493', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '794', 'total_shorts': '699', 'win_longs': '0.6662468513853904', 'win_shorts': '0.6938483547925608'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:61| Highest Reward:2.253702647149113| Average Reward:-2.5893867375672865| std Reward: 14.693818478189998| Stagnation: 4| Population size: 256:  61%|██████    | 61/100 [1:02:19<40:18, 62.01s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.834000000000162', 'cash': '9.929220000000008', 'portfolio_value': '-4.58752', 'net': '5.341700000000008', 'total_profit': '0.3446399999999983', 'win_trades': '1014', 'winnning_percent': '0.6791694574681849', 'total_trades': '1493', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '794', 'total_shorts': '699', 'win_longs': '0.6662468513853904', 'win_shorts': '0.6938483547925608'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:62| Highest Reward:2.2468968642135136| Average Reward:-4.7572844269377885| std Reward: 20.702736457668262| Stagnation: 5| Population size: 256:  61%|██████    | 61/100 [1:03:18<40:18, 62.01s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '-1.027999999999929', 'cash': '9.911880000000004', 'portfolio_value': '-4.96328', 'net': '4.948600000000003', 'total_profit': '0.04740999999999551', 'win_trades': '23', 'winnning_percent': '0.3709677419354839', 'total_trades': '62', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '31', 'total_shorts': '31', 'win_longs': '0.3870967741935484', 'win_shorts': '0.3548387096774194'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '8.947199999999578', 'cash': '10.41063999999998', 'portfolio_value': '-4.96328', 'net': '5.447359999999979', 'total_profit': '0.45599999999998664', 'win_trades': '890', 'winnning_percent': '0.8061594202898551', 'total_trades': '1104', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '596', 'total_shorts': '508', 'win_longs': '0.8104026845637584', 'win_shorts': '0.8011811023622047'}\n",
      "Test Data (best)->>  {'cash_profit': '5.111400000000144', 'cash': '9.843090000000007', 'portfolio_value': '-4.58752', 'net': '5.255570000000008', 'total_profit': '0.27690000000000237', 'win_trades': '28', 'winnning_percent': '0.4666666666666667', 'total_trades': '60', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '30', 'total_shorts': '30', 'win_longs': '0.36666666666666664', 'win_shorts': '0.5666666666666667'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:62| Highest Reward:2.2468968642135136| Average Reward:-4.7572844269377885| std Reward: 20.702736457668262| Stagnation: 5| Population size: 256:  62%|██████▏   | 62/100 [1:03:23<39:42, 62.71s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '13.560999999999845', 'cash': '7.9718099999999925', 'portfolio_value': '-2.29376', 'net': '5.678049999999993', 'total_profit': '0.6786400000000081', 'win_trades': '2311', 'winnning_percent': '0.7791638570465274', 'total_trades': '2966', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '5', 'total_longs': '1602', 'total_shorts': '1364', 'win_longs': '0.7752808988764045', 'win_shorts': '0.783724340175953'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:63| Highest Reward:2.181568725876769| Average Reward:-4.1008684311318895| std Reward: 17.530544043677633| Stagnation: 6| Population size: 256:  62%|██████▏   | 62/100 [1:04:20<39:42, 62.71s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.594400000000004', 'cash': '0.6164399999999999', 'portfolio_value': '4.96328', 'net': '5.57972', 'total_profit': '0.5472000000000059', 'win_trades': '177', 'winnning_percent': '0.6389891696750902', 'total_trades': '277', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '162', 'total_shorts': '115', 'win_longs': '0.5987654320987654', 'win_shorts': '0.6956521739130435'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.594400000000004', 'cash': '0.6164399999999999', 'portfolio_value': '4.96328', 'net': '5.57972', 'total_profit': '0.5472000000000059', 'win_trades': '177', 'winnning_percent': '0.6389891696750902', 'total_trades': '277', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '162', 'total_shorts': '115', 'win_longs': '0.5987654320987654', 'win_shorts': '0.6956521739130435'}\n",
      "Test Data (best)->>  {'cash_profit': '7.20040000000004', 'cash': '0.7725000000000022', 'portfolio_value': '4.58752', 'net': '5.360020000000002', 'total_profit': '0.3484200000000015', 'win_trades': '587', 'winnning_percent': '0.5771878072763028', 'total_trades': '1017', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '597', 'total_shorts': '420', 'win_longs': '0.5644891122278057', 'win_shorts': '0.5952380952380952'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:63| Highest Reward:2.181568725876769| Average Reward:-4.1008684311318895| std Reward: 17.530544043677633| Stagnation: 6| Population size: 256:  63%|██████▎   | 63/100 [1:04:24<38:24, 62.29s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.20040000000004', 'cash': '0.7725000000000022', 'portfolio_value': '4.58752', 'net': '5.360020000000002', 'total_profit': '0.3484200000000015', 'win_trades': '587', 'winnning_percent': '0.5771878072763028', 'total_trades': '1017', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '597', 'total_shorts': '420', 'win_longs': '0.5644891122278057', 'win_shorts': '0.5952380952380952'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:64| Highest Reward:2.368286610188439| Average Reward:-12.874361568539738| std Reward: 27.195290873258287| Stagnation: 7| Population size: 256:  63%|██████▎   | 63/100 [1:05:20<38:24, 62.29s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.84759999999998', 'cash': '10.55566', 'portfolio_value': '-4.96328', 'net': '5.5923799999999995', 'total_profit': '0.597150000000011', 'win_trades': '432', 'winnning_percent': '0.6967741935483871', 'total_trades': '620', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '342', 'total_shorts': '278', 'win_longs': '0.6900584795321637', 'win_shorts': '0.7050359712230215'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '9.72479999999929', 'cash': '10.449519999999964', 'portfolio_value': '-4.96328', 'net': '5.486239999999964', 'total_profit': '0.49487999999998045', 'win_trades': '1026', 'winnning_percent': '0.8280871670702179', 'total_trades': '1239', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '665', 'total_shorts': '574', 'win_longs': '0.8285714285714286', 'win_shorts': '0.8275261324041812'}\n",
      "Test Data (best)->>  {'cash_profit': '8.236600000000639', 'cash': '8.852470000000032', 'portfolio_value': '-3.4406399999999997', 'net': '5.411830000000032', 'total_profit': '0.4133500000000163', 'win_trades': '1202', 'winnning_percent': '0.673389355742297', 'total_trades': '1785', 'holdings': '-3', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '988', 'total_shorts': '797', 'win_longs': '0.6548582995951417', 'win_shorts': '0.6963613550815558'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:64| Highest Reward:2.368286610188439| Average Reward:-12.874361568539738| std Reward: 27.195290873258287| Stagnation: 7| Population size: 256:  64%|██████▍   | 64/100 [1:05:25<37:03, 61.76s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '5.9670000000001', 'cash': '9.885870000000004', 'portfolio_value': '-4.58752', 'net': '5.298350000000005', 'total_profit': '0.3033900000000118', 'win_trades': '2689', 'winnning_percent': '0.7962688777021024', 'total_trades': '3377', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1816', 'total_shorts': '1561', 'win_longs': '0.7984581497797357', 'win_shorts': '0.7937219730941704'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:65| Highest Reward:2.095121668379442| Average Reward:-3.232552121653423| std Reward: 14.298977446109017| Stagnation: 8| Population size: 256:  64%|██████▍   | 64/100 [1:06:21<37:03, 61.76s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '9.547600000000012', 'cash': '10.440660000000001', 'portfolio_value': '-4.96328', 'net': '5.477380000000001', 'total_profit': '0.47963999999999407', 'win_trades': '628', 'winnning_percent': '0.7639902676399026', 'total_trades': '822', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '483', 'total_shorts': '339', 'win_longs': '0.7681159420289855', 'win_shorts': '0.7581120943952803'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.1072000000003985', 'cash': '10.11864000000002', 'portfolio_value': '-4.96328', 'net': '5.15536000000002', 'total_profit': '0.17814000000000352', 'win_trades': '375', 'winnning_percent': '0.7470119521912351', 'total_trades': '502', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '254', 'total_shorts': '248', 'win_longs': '0.7401574803149606', 'win_shorts': '0.7540322580645161'}\n",
      "Test Data (best)->>  {'cash_profit': '6.479999999999686', 'cash': '7.6177599999999845', 'portfolio_value': '-2.29376', 'net': '5.323999999999985', 'total_profit': '0.3245899999999984', 'win_trades': '1864', 'winnning_percent': '0.772162386081193', 'total_trades': '2414', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1386', 'total_shorts': '1028', 'win_longs': '0.7626262626262627', 'win_shorts': '0.7850194552529183'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:65| Highest Reward:2.095121668379442| Average Reward:-3.232552121653423| std Reward: 14.298977446109017| Stagnation: 8| Population size: 256:  65%|██████▌   | 65/100 [1:06:25<35:49, 61.42s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.839399999999788', 'cash': '10.07948999999999', 'portfolio_value': '-4.58752', 'net': '5.49196999999999', 'total_profit': '0.5039999999999836', 'win_trades': '694', 'winnning_percent': '0.6711798839458414', 'total_trades': '1034', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '521', 'total_shorts': '513', 'win_longs': '0.6525911708253359', 'win_shorts': '0.6900584795321637'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:66| Highest Reward:2.294541934783683| Average Reward:-1.382374250236145| std Reward: 11.245891977781497| Stagnation: 9| Population size: 256:  65%|██████▌   | 65/100 [1:07:23<35:49, 61.42s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.657999999999522', 'cash': '10.396179999999976', 'portfolio_value': '-4.96328', 'net': '5.432899999999976', 'total_profit': '0.4415399999999825', 'win_trades': '916', 'winnning_percent': '0.8200537153088631', 'total_trades': '1117', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '606', 'total_shorts': '511', 'win_longs': '0.8217821782178217', 'win_shorts': '0.8180039138943248'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.399599999999689', 'cash': '10.583259999999985', 'portfolio_value': '-4.96328', 'net': '5.619979999999985', 'total_profit': '0.6222399999999881', 'win_trades': '712', 'winnning_percent': '0.8146453089244852', 'total_trades': '874', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '496', 'total_shorts': '378', 'win_longs': '0.7983870967741935', 'win_shorts': '0.8359788359788359'}\n",
      "Test Data (best)->>  {'cash_profit': '6.490000000000107', 'cash': '9.912020000000005', 'portfolio_value': '-4.58752', 'net': '5.324500000000006', 'total_profit': '0.32954000000002126', 'win_trades': '2363', 'winnning_percent': '0.8007455099966113', 'total_trades': '2951', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1625', 'total_shorts': '1326', 'win_longs': '0.803076923076923', 'win_shorts': '0.7978883861236803'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:66| Highest Reward:2.294541934783683| Average Reward:-1.382374250236145| std Reward: 11.245891977781497| Stagnation: 9| Population size: 256:  66%|██████▌   | 66/100 [1:07:27<34:51, 61.51s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '2.9859999999996', 'cash': '7.44305999999998', 'portfolio_value': '-2.29376', 'net': '5.14929999999998', 'total_profit': '0.14988999999998986', 'win_trades': '1998', 'winnning_percent': '0.7909738717339667', 'total_trades': '2526', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1428', 'total_shorts': '1098', 'win_longs': '0.7822128851540616', 'win_shorts': '0.802367941712204'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:67| Highest Reward:2.5272193672996677| Average Reward:-1.7208294385527454| std Reward: 14.003522486566325| Stagnation: 10| Population size: 256:  66%|██████▌   | 66/100 [1:08:23<34:51, 61.51s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '13.796599999999671', 'cash': '10.653109999999984', 'portfolio_value': '-4.96328', 'net': '5.689829999999984', 'total_profit': '0.6920899999999863', 'win_trades': '757', 'winnning_percent': '0.7407045009784736', 'total_trades': '1022', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '554', 'total_shorts': '468', 'win_longs': '0.7563176895306859', 'win_shorts': '0.7222222222222222'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.96679999999968', 'cash': '10.611619999999984', 'portfolio_value': '-4.96328', 'net': '5.648339999999984', 'total_profit': '0.6569799999999848', 'win_trades': '883', 'winnning_percent': '0.810091743119266', 'total_trades': '1090', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '600', 'total_shorts': '490', 'win_longs': '0.8066666666666666', 'win_shorts': '0.8142857142857143'}\n",
      "Test Data (best)->>  {'cash_profit': '-0.08919999999996708', 'cash': '9.990940000000002', 'portfolio_value': '-4.9954', 'net': '4.995540000000002', 'total_profit': '-0.010749999999996707', 'win_trades': '110', 'winnning_percent': '0.7333333333333333', 'total_trades': '150', 'holdings': '-4', 'step_value': '736', 'max_holdings': '4', 'total_longs': '84', 'total_shorts': '66', 'win_longs': '0.7857142857142857', 'win_shorts': '0.6666666666666666'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:67| Highest Reward:2.5272193672996677| Average Reward:-1.7208294385527454| std Reward: 14.003522486566325| Stagnation: 10| Population size: 256:  67%|██████▋   | 67/100 [1:08:26<33:26, 60.82s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.062399999999847', 'cash': '7.746879999999992', 'portfolio_value': '-2.29376', 'net': '5.453119999999992', 'total_profit': '0.4537100000000127', 'win_trades': '2335', 'winnning_percent': '0.7843466577091032', 'total_trades': '2977', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1617', 'total_shorts': '1360', 'win_longs': '0.7891156462585034', 'win_shorts': '0.7786764705882353'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:68| Highest Reward:2.8817972677832215| Average Reward:-1.9250821669341085| std Reward: 12.966839727515454| Stagnation: 11| Population size: 256:  67%|██████▋   | 67/100 [1:09:22<33:26, 60.82s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '13.868800000000414', 'cash': '10.656720000000021', 'portfolio_value': '-4.96328', 'net': '5.693440000000021', 'total_profit': '0.7015000000000124', 'win_trades': '348', 'winnning_percent': '0.759825327510917', 'total_trades': '458', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '234', 'total_shorts': '224', 'win_longs': '0.7393162393162394', 'win_shorts': '0.78125'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '9.024999999999196', 'cash': '10.41452999999996', 'portfolio_value': '-4.96328', 'net': '5.45124999999996', 'total_profit': '0.4598899999999879', 'win_trades': '1000', 'winnning_percent': '0.819672131147541', 'total_trades': '1220', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '652', 'total_shorts': '568', 'win_longs': '0.8128834355828221', 'win_shorts': '0.8274647887323944'}\n",
      "Test Data (best)->>  {'cash_profit': '-1.708199999999871', 'cash': '9.917110000000006', 'portfolio_value': '-5.00252', 'net': '4.914590000000007', 'total_profit': '-0.08339000000000052', 'win_trades': '56', 'winnning_percent': '0.6436781609195402', 'total_trades': '87', 'holdings': '-4', 'step_value': '1189', 'max_holdings': '4', 'total_longs': '44', 'total_shorts': '43', 'win_longs': '0.6818181818181818', 'win_shorts': '0.6046511627906976'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:68| Highest Reward:2.8817972677832215| Average Reward:-1.9250821669341085| std Reward: 12.966839727515454| Stagnation: 11| Population size: 256:  68%|██████▊   | 68/100 [1:09:25<32:05, 60.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '7.505800000000806', 'cash': '9.96281000000004', 'portfolio_value': '-4.58752', 'net': '5.3752900000000405', 'total_profit': '0.3803300000000096', 'win_trades': '2626', 'winnning_percent': '0.7883518462924047', 'total_trades': '3331', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1792', 'total_shorts': '1539', 'win_longs': '0.7940848214285714', 'win_shorts': '0.7816764132553606'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:69| Highest Reward:2.7233484579242506| Average Reward:-0.028749106851299944| std Reward: 5.969876037877987| Stagnation: 12| Population size: 256:  68%|██████▊   | 68/100 [1:10:21<32:05, 60.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.631599999999631', 'cash': '10.544859999999982', 'portfolio_value': '-4.96328', 'net': '5.581579999999982', 'total_profit': '0.5902199999999778', 'win_trades': '983', 'winnning_percent': '0.8281381634372368', 'total_trades': '1187', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '645', 'total_shorts': '542', 'win_longs': '0.8217054263565892', 'win_shorts': '0.8357933579335793'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.179199999999277', 'cash': '10.472239999999964', 'portfolio_value': '-4.96328', 'net': '5.508959999999964', 'total_profit': '0.5175999999999898', 'win_trades': '982', 'winnning_percent': '0.8003259983700082', 'total_trades': '1227', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '663', 'total_shorts': '564', 'win_longs': '0.8129713423831071', 'win_shorts': '0.7854609929078015'}\n",
      "Test Data (best)->>  {'cash_profit': '5.178000000000749', 'cash': '9.846420000000037', 'portfolio_value': '-4.58752', 'net': '5.258900000000038', 'total_profit': '0.26311000000000817', 'win_trades': '2592', 'winnning_percent': '0.7861692447679709', 'total_trades': '3297', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1767', 'total_shorts': '1530', 'win_longs': '0.788907753254103', 'win_shorts': '0.7830065359477124'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:69| Highest Reward:2.7233484579242506| Average Reward:-0.028749106851299944| std Reward: 5.969876037877987| Stagnation: 12| Population size: 256:  69%|██████▉   | 69/100 [1:10:25<31:06, 60.21s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '8.919199999999972', 'cash': '7.739719999999998', 'portfolio_value': '-2.29376', 'net': '5.445959999999999', 'total_profit': '0.4465500000000091', 'win_trades': '2623', 'winnning_percent': '0.7758059745637386', 'total_trades': '3381', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1828', 'total_shorts': '1553', 'win_longs': '0.7806345733041575', 'win_shorts': '0.7701223438506117'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:70| Highest Reward:2.5163477771578386| Average Reward:-0.23907899539290367| std Reward: 6.647467285520316| Stagnation: 13| Population size: 256:  69%|██████▉   | 69/100 [1:11:21<31:06, 60.21s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '6.346800000000252', 'cash': '10.280620000000013', 'portfolio_value': '-4.96328', 'net': '5.317340000000013', 'total_profit': '0.3359899999999989', 'win_trades': '292', 'winnning_percent': '0.7411167512690355', 'total_trades': '394', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '198', 'total_shorts': '196', 'win_longs': '0.7878787878787878', 'win_shorts': '0.6938775510204082'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '-0.4358000000000417', 'cash': '9.941489999999998', 'portfolio_value': '-4.96328', 'net': '4.978209999999998', 'total_profit': '0.01436999999999311', 'win_trades': '93', 'winnning_percent': '0.6642857142857143', 'total_trades': '140', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '70', 'total_shorts': '70', 'win_longs': '0.7142857142857143', 'win_shorts': '0.6142857142857143'}\n",
      "Test Data (best)->>  {'cash_profit': '-2.6524000000000214', 'cash': '9.863299999999999', 'portfolio_value': '-4.99592', 'net': '4.867379999999999', 'total_profit': '-0.13851999999999887', 'win_trades': '43', 'winnning_percent': '0.7049180327868853', 'total_trades': '61', 'holdings': '-4', 'step_value': '739', 'max_holdings': '4', 'total_longs': '31', 'total_shorts': '30', 'win_longs': '0.7741935483870968', 'win_shorts': '0.6333333333333333'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:70| Highest Reward:2.5163477771578386| Average Reward:-0.23907899539290367| std Reward: 6.647467285520316| Stagnation: 13| Population size: 256:  70%|███████   | 70/100 [1:11:25<29:57, 59.92s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '2.275200000000299', 'cash': '9.701280000000015', 'portfolio_value': '-4.58752', 'net': '5.113760000000015', 'total_profit': '0.15968000000000404', 'win_trades': '358', 'winnning_percent': '0.6884615384615385', 'total_trades': '520', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '260', 'total_shorts': '260', 'win_longs': '0.6961538461538461', 'win_shorts': '0.6807692307692308'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:71| Highest Reward:2.830739114186757| Average Reward:0.27450231203066167| std Reward: 4.967537643005744| Stagnation: 14| Population size: 256:  70%|███████   | 70/100 [1:12:22<29:57, 59.92s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '9.37459999999981', 'cash': '10.432009999999991', 'portfolio_value': '-4.96328', 'net': '5.468729999999991', 'total_profit': '0.47098999999999225', 'win_trades': '618', 'winnning_percent': '0.7852604828462516', 'total_trades': '787', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '469', 'total_shorts': '318', 'win_longs': '0.767590618336887', 'win_shorts': '0.8113207547169812'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.028599999999278', 'cash': '10.514709999999964', 'portfolio_value': '-4.96328', 'net': '5.5514299999999634', 'total_profit': '0.565789999999992', 'win_trades': '501', 'winnning_percent': '0.7346041055718475', 'total_trades': '682', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '355', 'total_shorts': '327', 'win_longs': '0.7408450704225352', 'win_shorts': '0.72782874617737'}\n",
      "Test Data (best)->>  {'cash_profit': '1.164199999999349', 'cash': '7.351969999999968', 'portfolio_value': '-2.29376', 'net': '5.058209999999968', 'total_profit': '0.05879999999998775', 'win_trades': '1940', 'winnning_percent': '0.7726005575467941', 'total_trades': '2511', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1425', 'total_shorts': '1086', 'win_longs': '0.7607017543859649', 'win_shorts': '0.7882136279926335'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:71| Highest Reward:2.830739114186757| Average Reward:0.27450231203066167| std Reward: 4.967537643005744| Stagnation: 14| Population size: 256:  71%|███████   | 71/100 [1:12:26<29:13, 60.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.10059999999997', 'cash': '10.042549999999999', 'portfolio_value': '-4.58752', 'net': '5.455029999999999', 'total_profit': '0.4606699999999895', 'win_trades': '1086', 'winnning_percent': '0.6817325800376648', 'total_trades': '1593', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '819', 'total_shorts': '774', 'win_longs': '0.6764346764346765', 'win_shorts': '0.6873385012919897'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:72| Highest Reward:2.5675672315164397| Average Reward:0.45053630515737975| std Reward: 3.8924037512326644| Stagnation: 15| Population size: 256:  71%|███████   | 71/100 [1:13:24<29:13, 60.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.148800000000179', 'cash': '10.37072000000001', 'portfolio_value': '-4.96328', 'net': '5.407440000000009', 'total_profit': '0.41923999999999806', 'win_trades': '946', 'winnning_percent': '0.8283712784588442', 'total_trades': '1142', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '598', 'total_shorts': '544', 'win_longs': '0.8260869565217391', 'win_shorts': '0.8308823529411765'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.367999999999824', 'cash': '10.581679999999992', 'portfolio_value': '-4.96328', 'net': '5.618399999999991', 'total_profit': '0.6231699999999825', 'win_trades': '891', 'winnning_percent': '0.8070652173913043', 'total_trades': '1104', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '610', 'total_shorts': '494', 'win_longs': '0.8016393442622951', 'win_shorts': '0.8137651821862348'}\n",
      "Test Data (best)->>  {'cash_profit': '9.906400000001225', 'cash': '10.082840000000061', 'portfolio_value': '-4.58752', 'net': '5.495320000000062', 'total_profit': '0.5003600000000095', 'win_trades': '2434', 'winnning_percent': '0.7956848643347499', 'total_trades': '3059', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1605', 'total_shorts': '1454', 'win_longs': '0.7950155763239876', 'win_shorts': '0.796423658872077'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:72| Highest Reward:2.5675672315164397| Average Reward:0.45053630515737975| std Reward: 3.8924037512326644| Stagnation: 15| Population size: 256:  72%|███████▏  | 72/100 [1:13:28<28:24, 60.86s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '8.027999999999702', 'cash': '7.695159999999985', 'portfolio_value': '-2.29376', 'net': '5.4013999999999855', 'total_profit': '0.4019900000000063', 'win_trades': '2467', 'winnning_percent': '0.7816856780735107', 'total_trades': '3156', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1715', 'total_shorts': '1441', 'win_longs': '0.7819241982507289', 'win_shorts': '0.7814018043025677'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:73| Highest Reward:2.318351853896388| Average Reward:0.7266569150925268| std Reward: 2.729057270443009| Stagnation: 16| Population size: 256:  72%|███████▏  | 72/100 [1:14:26<28:24, 60.86s/ gen]   "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.75799999999998', 'cash': '10.551179999999999', 'portfolio_value': '-4.96328', 'net': '5.5878999999999985', 'total_profit': '0.592669999999996', 'win_trades': '843', 'winnning_percent': '0.7990521327014218', 'total_trades': '1055', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '585', 'total_shorts': '470', 'win_longs': '0.8085470085470086', 'win_shorts': '0.7872340425531915'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.68179999999972', 'cash': '10.547369999999987', 'portfolio_value': '-4.96328', 'net': '5.5840899999999865', 'total_profit': '0.59272999999999', 'win_trades': '1031', 'winnning_percent': '0.8105345911949685', 'total_trades': '1272', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '670', 'total_shorts': '602', 'win_longs': '0.817910447761194', 'win_shorts': '0.8023255813953488'}\n",
      "Test Data (best)->>  {'cash_profit': '9.425399999999605', 'cash': '7.76502999999998', 'portfolio_value': '-2.29376', 'net': '5.47126999999998', 'total_profit': '0.47186000000000106', 'win_trades': '2259', 'winnning_percent': '0.7736301369863013', 'total_trades': '2920', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1607', 'total_shorts': '1313', 'win_longs': '0.7803360298693217', 'win_shorts': '0.7654226961157654'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:73| Highest Reward:2.318351853896388| Average Reward:0.7266569150925268| std Reward: 2.729057270443009| Stagnation: 16| Population size: 256:  73%|███████▎  | 73/100 [1:14:31<27:40, 61.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '11.414000000000723', 'cash': '10.158220000000036', 'portfolio_value': '-4.58752', 'net': '5.570700000000036', 'total_profit': '0.5757399999999921', 'win_trades': '2524', 'winnning_percent': '0.7763764995386035', 'total_trades': '3251', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1716', 'total_shorts': '1535', 'win_longs': '0.7837995337995338', 'win_shorts': '0.7680781758957654'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:74| Highest Reward:2.406675451918708| Average Reward:0.6280947748226613| std Reward: 3.568138272818126| Stagnation: 17| Population size: 256:  73%|███████▎  | 73/100 [1:15:28<27:40, 61.49s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '2.4135999999999713', 'cash': '0.15739999999999776', 'portfolio_value': '4.96328', 'net': '5.120679999999998', 'total_profit': '-0.00893000000000077', 'win_trades': '15', 'winnning_percent': '0.5555555555555556', 'total_trades': '27', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '19', 'total_shorts': '8', 'win_longs': '0.47368421052631576', 'win_shorts': '0.75'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.844600000000183', 'cash': '4.351410000000009', 'portfolio_value': '1.24082', 'net': '5.59223000000001', 'total_profit': '0.592230000000004', 'win_trades': '355', 'winnning_percent': '0.7426778242677824', 'total_trades': '478', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '287', 'total_shorts': '191', 'win_longs': '0.6968641114982579', 'win_shorts': '0.8115183246073299'}\n",
      "Test Data (best)->>  {'cash_profit': '-3.521199999999891', 'cash': '0.23642000000000563', 'portfolio_value': '4.58752', 'net': '4.823940000000006', 'total_profit': '-0.18766000000000282', 'win_trades': '91', 'winnning_percent': '0.6066666666666667', 'total_trades': '150', 'holdings': '4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '94', 'total_shorts': '56', 'win_longs': '0.5319148936170213', 'win_shorts': '0.7321428571428571'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:74| Highest Reward:2.406675451918708| Average Reward:0.6280947748226613| std Reward: 3.568138272818126| Stagnation: 17| Population size: 256:  74%|███████▍  | 74/100 [1:15:32<26:35, 61.38s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.590200000000346', 'cash': '6.476390000000016', 'portfolio_value': '-1.14688', 'net': '5.329510000000017', 'total_profit': '0.32951000000000574', 'win_trades': '958', 'winnning_percent': '0.6931982633863966', 'total_trades': '1382', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '826', 'total_shorts': '556', 'win_longs': '0.6634382566585957', 'win_shorts': '0.737410071942446'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:75| Highest Reward:2.9230775931054196| Average Reward:0.240243381512871| std Reward: 4.732032973682414| Stagnation: 18| Population size: 256:  74%|███████▍  | 74/100 [1:16:29<26:35, 61.38s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '3.8612000000002533', 'cash': '10.156340000000013', 'portfolio_value': '-4.96328', 'net': '5.193060000000012', 'total_profit': '0.21678999999998894', 'win_trades': '429', 'winnning_percent': '0.7126245847176079', 'total_trades': '602', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '306', 'total_shorts': '296', 'win_longs': '0.7352941176470589', 'win_shorts': '0.6891891891891891'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '3.5999999999999144', 'cash': '10.143279999999995', 'portfolio_value': '-4.96328', 'net': '5.179999999999995', 'total_profit': '0.20653999999998707', 'win_trades': '561', 'winnning_percent': '0.7323759791122716', 'total_trades': '766', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '387', 'total_shorts': '379', 'win_longs': '0.7441860465116279', 'win_shorts': '0.7203166226912929'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:75| Highest Reward:2.9230775931054196| Average Reward:0.240243381512871| std Reward: 4.732032973682414| Stagnation: 18| Population size: 256:  75%|███████▌  | 75/100 [1:16:32<25:22, 60.88s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (best)->>  {'cash_profit': '10.266999999999227', 'cash': '10.100869999999961', 'portfolio_value': '-4.58752', 'net': '5.513349999999962', 'total_profit': '0.519739999999983', 'win_trades': '1140', 'winnning_percent': '0.7102803738317757', 'total_trades': '1605', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '816', 'total_shorts': '789', 'win_longs': '0.7242647058823529', 'win_shorts': '0.6958174904942965'}\n",
      "Test Data (latest)->>  {'cash_profit': '-1.482199999999756', 'cash': '9.920130000000013', 'portfolio_value': '-4.9942400000000005', 'net': '4.925890000000012', 'total_profit': '-0.0875699999999926', 'win_trades': '185', 'winnning_percent': '0.7459677419354839', 'total_trades': '248', 'holdings': '-4', 'step_value': '1216', 'max_holdings': '4', 'total_longs': '125', 'total_shorts': '123', 'win_longs': '0.792', 'win_shorts': '0.6991869918699187'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:76| Highest Reward:2.471348986589848| Average Reward:0.5789912907042678| std Reward: 6.391253512129833| Stagnation: 19| Population size: 256:  75%|███████▌  | 75/100 [1:17:29<25:22, 60.88s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '10.176199999999923', 'cash': '10.472089999999996', 'portfolio_value': '-4.96328', 'net': '5.508809999999996', 'total_profit': '0.5231699999999975', 'win_trades': '383', 'winnning_percent': '0.7644710578842315', 'total_trades': '501', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '271', 'total_shorts': '230', 'win_longs': '0.7638376383763837', 'win_shorts': '0.7652173913043478'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.293199999999317', 'cash': '10.577939999999966', 'portfolio_value': '-4.96328', 'net': '5.614659999999966', 'total_profit': '0.6232999999999818', 'win_trades': '964', 'winnning_percent': '0.8190314358538657', 'total_trades': '1177', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '639', 'total_shorts': '538', 'win_longs': '0.8247261345852895', 'win_shorts': '0.8122676579925651'}\n",
      "Test Data (best)->>  {'cash_profit': '5.206199999999761', 'cash': '9.847829999999988', 'portfolio_value': '-4.58752', 'net': '5.260309999999988', 'total_profit': '0.26462999999999215', 'win_trades': '1165', 'winnning_percent': '0.7501609787508049', 'total_trades': '1553', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '823', 'total_shorts': '730', 'win_longs': '0.741190765492102', 'win_shorts': '0.7602739726027398'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:76| Highest Reward:2.471348986589848| Average Reward:0.5789912907042678| std Reward: 6.391253512129833| Stagnation: 19| Population size: 256:  76%|███████▌  | 76/100 [1:17:34<24:27, 61.17s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.276200000000335', 'cash': '10.101330000000017', 'portfolio_value': '-4.58752', 'net': '5.513810000000017', 'total_profit': '0.5180200000000177', 'win_trades': '2532', 'winnning_percent': '0.790015600624025', 'total_trades': '3205', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1734', 'total_shorts': '1471', 'win_longs': '0.7952710495963091', 'win_shorts': '0.7838205302515295'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:77| Highest Reward:2.572291959852966| Average Reward:-0.06989211766797881| std Reward: 6.941267119805517| Stagnation: 20| Population size: 256:  76%|███████▌  | 76/100 [1:18:40<24:27, 61.17s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '6.551799999999597', 'cash': '10.29086999999998', 'portfolio_value': '-4.96328', 'net': '5.32758999999998', 'total_profit': '0.3362299999999887', 'win_trades': '860', 'winnning_percent': '0.7610619469026548', 'total_trades': '1130', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '588', 'total_shorts': '542', 'win_longs': '0.7789115646258503', 'win_shorts': '0.7416974169741697'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.872999999999823', 'cash': '10.606929999999991', 'portfolio_value': '-4.96328', 'net': '5.643649999999991', 'total_profit': '0.645909999999994', 'win_trades': '619', 'winnning_percent': '0.7815656565656566', 'total_trades': '792', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '460', 'total_shorts': '332', 'win_longs': '0.7695652173913043', 'win_shorts': '0.7981927710843374'}\n",
      "Test Data (best)->>  {'cash_profit': '9.642400000000851', 'cash': '10.069640000000042', 'portfolio_value': '-4.58752', 'net': '5.482120000000043', 'total_profit': '0.4871600000000087', 'win_trades': '2159', 'winnning_percent': '0.7488727020464794', 'total_trades': '2883', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1502', 'total_shorts': '1381', 'win_longs': '0.7529960053262317', 'win_shorts': '0.7443881245474294'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:77| Highest Reward:2.572291959852966| Average Reward:-0.06989211766797881| std Reward: 6.941267119805517| Stagnation: 20| Population size: 256:  77%|███████▋  | 77/100 [1:18:45<24:36, 64.20s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.539000000000117', 'cash': '7.620710000000006', 'portfolio_value': '-2.29376', 'net': '5.326950000000006', 'total_profit': '0.3275399999999944', 'win_trades': '1923', 'winnning_percent': '0.7615841584158416', 'total_trades': '2525', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1418', 'total_shorts': '1107', 'win_longs': '0.7566995768688294', 'win_shorts': '0.7678410117434508'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:78| Highest Reward:2.5649846982348867| Average Reward:0.8864869199168695| std Reward: 3.4416940194192307| Stagnation: 21| Population size: 256:  77%|███████▋  | 77/100 [1:19:43<24:36, 64.20s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.944600000000325', 'cash': '0.48395000000001587', 'portfolio_value': '4.96328', 'net': '5.447230000000016', 'total_profit': '0.4196300000000084', 'win_trades': '175', 'winnning_percent': '0.6809338521400778', 'total_trades': '257', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '171', 'total_shorts': '86', 'win_longs': '0.6666666666666666', 'win_shorts': '0.7093023255813954'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '14.792599999999979', 'cash': '10.70291', 'portfolio_value': '-4.96328', 'net': '5.739629999999999', 'total_profit': '0.744399999999996', 'win_trades': '853', 'winnning_percent': '0.7920148560817084', 'total_trades': '1077', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '595', 'total_shorts': '482', 'win_longs': '0.7949579831932773', 'win_shorts': '0.7883817427385892'}\n",
      "Test Data (best)->>  {'cash_profit': '3.2431999999998906', 'cash': '6.309039999999994', 'portfolio_value': '-1.14688', 'net': '5.162159999999995', 'total_profit': '0.1621600000000052', 'win_trades': '625', 'winnning_percent': '0.6815703380588877', 'total_trades': '917', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '573', 'total_shorts': '344', 'win_longs': '0.6614310645724258', 'win_shorts': '0.7151162790697675'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:78| Highest Reward:2.5649846982348867| Average Reward:0.8864869199168695| std Reward: 3.4416940194192307| Stagnation: 21| Population size: 256:  78%|███████▊  | 78/100 [1:19:47<23:19, 63.60s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.857199999999834', 'cash': '7.836619999999991', 'portfolio_value': '-2.29376', 'net': '5.542859999999991', 'total_profit': '0.5434499999999967', 'win_trades': '2316', 'winnning_percent': '0.7694352159468438', 'total_trades': '3010', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1641', 'total_shorts': '1369', 'win_longs': '0.7720901889092017', 'win_shorts': '0.7662527392257122'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:79| Highest Reward:2.6742151213306484| Average Reward:1.092580709051105| std Reward: 1.576795408833162| Stagnation: 22| Population size: 256:  78%|███████▊  | 78/100 [1:20:45<23:19, 63.60s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.740599999999743', 'cash': '10.400309999999987', 'portfolio_value': '-4.96328', 'net': '5.437029999999987', 'total_profit': '0.4456700000000007', 'win_trades': '899', 'winnning_percent': '0.7837837837837838', 'total_trades': '1147', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '606', 'total_shorts': '541', 'win_longs': '0.7904290429042904', 'win_shorts': '0.7763401109057301'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '13.033800000000028', 'cash': '4.410870000000001', 'portfolio_value': '1.24082', 'net': '5.651690000000001', 'total_profit': '0.6516899999999999', 'win_trades': '334', 'winnning_percent': '0.755656108597285', 'total_trades': '442', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '279', 'total_shorts': '163', 'win_longs': '0.7096774193548387', 'win_shorts': '0.8343558282208589'}\n",
      "Test Data (best)->>  {'cash_profit': '10.587400000000112', 'cash': '10.116890000000005', 'portfolio_value': '-4.58752', 'net': '5.5293700000000054', 'total_profit': '0.5344100000000009', 'win_trades': '2258', 'winnning_percent': '0.7597577388963661', 'total_trades': '2972', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1561', 'total_shorts': '1411', 'win_longs': '0.769378603459321', 'win_shorts': '0.7491141034727143'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:79| Highest Reward:2.6742151213306484| Average Reward:1.092580709051105| std Reward: 1.576795408833162| Stagnation: 22| Population size: 256:  79%|███████▉  | 79/100 [1:20:49<22:06, 63.17s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.45100000000034', 'cash': '6.469430000000017', 'portfolio_value': '-1.14688', 'net': '5.322550000000017', 'total_profit': '0.32255000000002343', 'win_trades': '1117', 'winnning_percent': '0.7431803060545575', 'total_trades': '1503', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '906', 'total_shorts': '597', 'win_longs': '0.7196467991169978', 'win_shorts': '0.7788944723618091'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:80| Highest Reward:2.351674806090397| Average Reward:0.8649353589671316| std Reward: 2.7936407734587343| Stagnation: 23| Population size: 256:  79%|███████▉  | 79/100 [1:21:48<22:06, 63.17s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.508399999999686', 'cash': '10.538699999999984', 'portfolio_value': '-4.96328', 'net': '5.575419999999984', 'total_profit': '0.5840599999999816', 'win_trades': '855', 'winnning_percent': '0.7695769576957696', 'total_trades': '1111', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '589', 'total_shorts': '522', 'win_longs': '0.7758913412563667', 'win_shorts': '0.7624521072796935'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '14.788799999999625', 'cash': '10.702719999999982', 'portfolio_value': '-4.96328', 'net': '5.7394399999999814', 'total_profit': '0.7416999999999807', 'win_trades': '777', 'winnning_percent': '0.7936670071501533', 'total_trades': '979', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '553', 'total_shorts': '426', 'win_longs': '0.7956600361663653', 'win_shorts': '0.7910798122065728'}\n",
      "Test Data (best)->>  {'cash_profit': '12.014200000000397', 'cash': '7.89447000000002', 'portfolio_value': '-2.29376', 'net': '5.60071000000002', 'total_profit': '0.6013000000000153', 'win_trades': '2161', 'winnning_percent': '0.7521754263835712', 'total_trades': '2873', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1528', 'total_shorts': '1345', 'win_longs': '0.7637434554973822', 'win_shorts': '0.7390334572490707'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:80| Highest Reward:2.351674806090397| Average Reward:0.8649353589671316| std Reward: 2.7936407734587343| Stagnation: 23| Population size: 256:  80%|████████  | 80/100 [1:21:52<21:01, 63.06s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.481999999999366', 'cash': '7.617859999999968', 'portfolio_value': '-2.29376', 'net': '5.3240999999999685', 'total_profit': '0.3246900000000019', 'win_trades': '2133', 'winnning_percent': '0.7553116147308782', 'total_trades': '2824', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1548', 'total_shorts': '1276', 'win_longs': '0.7583979328165374', 'win_shorts': '0.7515673981191222'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:81| Highest Reward:2.6434973098073926| Average Reward:1.2705123819060535| std Reward: 0.5630651412137618| Stagnation: 24| Population size: 256:  80%|████████  | 80/100 [1:22:51<21:01, 63.06s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '13.719599999999899', 'cash': '10.649259999999995', 'portfolio_value': '-4.96328', 'net': '5.6859799999999945', 'total_profit': '0.688239999999986', 'win_trades': '706', 'winnning_percent': '0.7897091722595079', 'total_trades': '894', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '515', 'total_shorts': '379', 'win_longs': '0.7825242718446602', 'win_shorts': '0.7994722955145118'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '14.198999999999584', 'cash': '10.673229999999979', 'portfolio_value': '-4.96328', 'net': '5.709949999999979', 'total_profit': '0.7122099999999845', 'win_trades': '862', 'winnning_percent': '0.7974098057354302', 'total_trades': '1081', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '595', 'total_shorts': '486', 'win_longs': '0.7915966386554621', 'win_shorts': '0.8045267489711934'}\n",
      "Test Data (best)->>  {'cash_profit': '6.162999999999363', 'cash': '7.601909999999968', 'portfolio_value': '-2.29376', 'net': '5.308149999999968', 'total_profit': '0.30873999999998936', 'win_trades': '2055', 'winnning_percent': '0.7636566332218506', 'total_trades': '2691', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1501', 'total_shorts': '1190', 'win_longs': '0.7661558960692871', 'win_shorts': '0.7605042016806722'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:81| Highest Reward:2.6434973098073926| Average Reward:1.2705123819060535| std Reward: 0.5630651412137618| Stagnation: 24| Population size: 256:  81%|████████  | 81/100 [1:22:55<19:58, 63.07s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.490599999999594', 'cash': '7.768289999999979', 'portfolio_value': '-2.29376', 'net': '5.474529999999979', 'total_profit': '0.4751199999999942', 'win_trades': '2256', 'winnning_percent': '0.7598518019535198', 'total_trades': '2969', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1607', 'total_shorts': '1362', 'win_longs': '0.7660236465463597', 'win_shorts': '0.7525697503671072'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:82| Highest Reward:2.7276705955354044| Average Reward:0.7493270530312319| std Reward: 3.89171872127984| Stagnation: 25| Population size: 256:  81%|████████  | 81/100 [1:23:52<19:58, 63.07s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '13.748199999999834', 'cash': '4.446589999999992', 'portfolio_value': '1.24082', 'net': '5.687409999999992', 'total_profit': '0.6874099999999961', 'win_trades': '370', 'winnning_percent': '0.7535641547861507', 'total_trades': '491', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '305', 'total_shorts': '186', 'win_longs': '0.7311475409836066', 'win_shorts': '0.7903225806451613'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '13.94360000000001', 'cash': '10.66046', 'portfolio_value': '-4.96328', 'net': '5.69718', 'total_profit': '0.6994399999999863', 'win_trades': '747', 'winnning_percent': '0.8015021459227468', 'total_trades': '932', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '532', 'total_shorts': '400', 'win_longs': '0.7894736842105263', 'win_shorts': '0.8175'}\n",
      "Test Data (best)->>  {'cash_profit': '10.28560000000005', 'cash': '6.661160000000002', 'portfolio_value': '-1.14688', 'net': '5.514280000000003', 'total_profit': '0.5142800000000067', 'win_trades': '1094', 'winnning_percent': '0.7136333985649054', 'total_trades': '1533', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '931', 'total_shorts': '602', 'win_longs': '0.7035445757250268', 'win_shorts': '0.729235880398671'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:82| Highest Reward:2.7276705955354044| Average Reward:0.7493270530312319| std Reward: 3.89171872127984| Stagnation: 25| Population size: 256:  82%|████████▏ | 82/100 [1:23:56<18:43, 62.41s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '5.247399999999169', 'cash': '7.556129999999959', 'portfolio_value': '-2.29376', 'net': '5.262369999999959', 'total_profit': '0.2629600000000081', 'win_trades': '2101', 'winnning_percent': '0.7880720180045011', 'total_trades': '2666', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1503', 'total_shorts': '1163', 'win_longs': '0.7837658017298735', 'win_shorts': '0.7936371453138436'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:83| Highest Reward:2.5573168114074494| Average Reward:1.2616872912693566| std Reward: 0.5015342173034743| Stagnation: 26| Population size: 256:  82%|████████▏ | 82/100 [1:24:53<18:43, 62.41s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '8.572399999999991', 'cash': '10.3919', 'portfolio_value': '-4.96328', 'net': '5.42862', 'total_profit': '0.4372599999999869', 'win_trades': '891', 'winnning_percent': '0.7781659388646288', 'total_trades': '1145', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '602', 'total_shorts': '543', 'win_longs': '0.792358803986711', 'win_shorts': '0.7624309392265194'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '13.300199999999851', 'cash': '10.628289999999993', 'portfolio_value': '-4.96328', 'net': '5.6650099999999926', 'total_profit': '0.6697799999999865', 'win_trades': '873', 'winnning_percent': '0.7965328467153284', 'total_trades': '1096', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '603', 'total_shorts': '493', 'win_longs': '0.7910447761194029', 'win_shorts': '0.8032454361054767'}\n",
      "Test Data (best)->>  {'cash_profit': '10.188600000000104', 'cash': '10.096950000000005', 'portfolio_value': '-4.58752', 'net': '5.509430000000005', 'total_profit': '0.5136400000000108', 'win_trades': '2262', 'winnning_percent': '0.754', 'total_trades': '3000', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1582', 'total_shorts': '1418', 'win_longs': '0.7547408343868521', 'win_shorts': '0.7531734837799718'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:83| Highest Reward:2.5573168114074494| Average Reward:1.2616872912693566| std Reward: 0.5015342173034743| Stagnation: 26| Population size: 256:  83%|████████▎ | 83/100 [1:24:58<17:36, 62.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.261599999999982', 'cash': '7.806839999999999', 'portfolio_value': '-2.29376', 'net': '5.5130799999999995', 'total_profit': '0.513669999999991', 'win_trades': '2275', 'winnning_percent': '0.7613788487282463', 'total_trades': '2988', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1612', 'total_shorts': '1376', 'win_longs': '0.7673697270471465', 'win_shorts': '0.7543604651162791'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:84| Highest Reward:2.4468404598744957| Average Reward:1.2245914067422232| std Reward: 0.5436068707088999| Stagnation: 27| Population size: 256:  83%|████████▎ | 83/100 [1:25:55<17:36, 62.18s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '12.13339999999976', 'cash': '10.569949999999988', 'portfolio_value': '-4.96328', 'net': '5.606669999999988', 'total_profit': '0.6153099999999876', 'win_trades': '973', 'winnning_percent': '0.823181049069374', 'total_trades': '1182', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '630', 'total_shorts': '552', 'win_longs': '0.8253968253968254', 'win_shorts': '0.8206521739130435'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '6.5112000000002945', 'cash': '10.288840000000015', 'portfolio_value': '-4.96328', 'net': '5.3255600000000145', 'total_profit': '0.33912999999998883', 'win_trades': '782', 'winnning_percent': '0.7607003891050583', 'total_trades': '1028', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '537', 'total_shorts': '491', 'win_longs': '0.7783985102420856', 'win_shorts': '0.7413441955193483'}\n",
      "Test Data (best)->>  {'cash_profit': '9.05280000000035', 'cash': '7.746400000000017', 'portfolio_value': '-2.29376', 'net': '5.4526400000000175', 'total_profit': '0.45323000000001135', 'win_trades': '2432', 'winnning_percent': '0.7750159337157425', 'total_trades': '3138', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1676', 'total_shorts': '1462', 'win_longs': '0.7780429594272077', 'win_shorts': '0.771545827633379'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:84| Highest Reward:2.4468404598744957| Average Reward:1.2245914067422232| std Reward: 0.5436068707088999| Stagnation: 27| Population size: 256:  84%|████████▍ | 84/100 [1:26:00<16:33, 62.12s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.7616000000002785', 'cash': '9.925600000000014', 'portfolio_value': '-4.58752', 'net': '5.338080000000014', 'total_profit': '0.34312000000000675', 'win_trades': '1999', 'winnning_percent': '0.7456173069750093', 'total_trades': '2681', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1381', 'total_shorts': '1300', 'win_longs': '0.7472845763939174', 'win_shorts': '0.7438461538461538'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:85| Highest Reward:2.742064600261873| Average Reward:1.1498108416508797| std Reward: 0.5576265145156332| Stagnation: 28| Population size: 256:  84%|████████▍ | 84/100 [1:26:58<16:33, 62.12s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.3277999999992', 'cash': '10.52966999999996', 'portfolio_value': '-4.96328', 'net': '5.56638999999996', 'total_profit': '0.5750299999999791', 'win_trades': '887', 'winnning_percent': '0.8056312443233424', 'total_trades': '1101', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '609', 'total_shorts': '492', 'win_longs': '0.8045977011494253', 'win_shorts': '0.806910569105691'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.3277999999992', 'cash': '10.52966999999996', 'portfolio_value': '-4.96328', 'net': '5.56638999999996', 'total_profit': '0.5750299999999791', 'win_trades': '887', 'winnning_percent': '0.8056312443233424', 'total_trades': '1101', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '609', 'total_shorts': '492', 'win_longs': '0.8045977011494253', 'win_shorts': '0.806910569105691'}\n",
      "Test Data (best)->>  {'cash_profit': '10.20219999999954', 'cash': '7.803869999999977', 'portfolio_value': '-2.29376', 'net': '5.510109999999977', 'total_profit': '0.5106999999999968', 'win_trades': '2402', 'winnning_percent': '0.7852239293886891', 'total_trades': '3059', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1662', 'total_shorts': '1397', 'win_longs': '0.7888086642599278', 'win_shorts': '0.780959198282033'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:85| Highest Reward:2.742064600261873| Average Reward:1.1498108416508797| std Reward: 0.5576265145156332| Stagnation: 28| Population size: 256:  85%|████████▌ | 85/100 [1:27:03<15:36, 62.46s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.20219999999954', 'cash': '7.803869999999977', 'portfolio_value': '-2.29376', 'net': '5.510109999999977', 'total_profit': '0.5106999999999968', 'win_trades': '2402', 'winnning_percent': '0.7852239293886891', 'total_trades': '3059', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1662', 'total_shorts': '1397', 'win_longs': '0.7888086642599278', 'win_shorts': '0.780959198282033'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:86| Highest Reward:2.687861210727843| Average Reward:1.266906071314229| std Reward: 0.5175261284214614| Stagnation: 29| Population size: 256:  85%|████████▌ | 85/100 [1:28:01<15:36, 62.46s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '14.89459999999967', 'cash': '10.708009999999984', 'portfolio_value': '-4.96328', 'net': '5.744729999999984', 'total_profit': '0.7469899999999889', 'win_trades': '676', 'winnning_percent': '0.7833140208574739', 'total_trades': '863', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '495', 'total_shorts': '368', 'win_longs': '0.7838383838383839', 'win_shorts': '0.782608695652174'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '9.770399999999334', 'cash': '10.451799999999967', 'portfolio_value': '-4.96328', 'net': '5.4885199999999665', 'total_profit': '0.4971599999999836', 'win_trades': '873', 'winnning_percent': '0.7773820124666073', 'total_trades': '1123', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '590', 'total_shorts': '533', 'win_longs': '0.7847457627118644', 'win_shorts': '0.7692307692307693'}\n",
      "Test Data (best)->>  {'cash_profit': '9.88200000000008', 'cash': '7.787860000000004', 'portfolio_value': '-2.29376', 'net': '5.494100000000004', 'total_profit': '0.49469000000001206', 'win_trades': '1736', 'winnning_percent': '0.7444253859348199', 'total_trades': '2332', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1333', 'total_shorts': '999', 'win_longs': '0.7531882970742686', 'win_shorts': '0.7327327327327328'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:86| Highest Reward:2.687861210727843| Average Reward:1.266906071314229| std Reward: 0.5175261284214614| Stagnation: 29| Population size: 256:  86%|████████▌ | 86/100 [1:28:06<14:35, 62.55s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '11.579600000000445', 'cash': '7.872740000000022', 'portfolio_value': '-2.29376', 'net': '5.578980000000022', 'total_profit': '0.5795700000000166', 'win_trades': '2180', 'winnning_percent': '0.7527624309392266', 'total_trades': '2896', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1533', 'total_shorts': '1363', 'win_longs': '0.7553816046966731', 'win_shorts': '0.7498165810711666'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:87| Highest Reward:2.651994863041124| Average Reward:1.2128405727427585| std Reward: 0.5084311386854254| Stagnation: 30| Population size: 256:  86%|████████▌ | 86/100 [1:29:04<14:35, 62.55s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.440599999999911', 'cash': '10.535309999999996', 'portfolio_value': '-4.96328', 'net': '5.572029999999995', 'total_profit': '0.5806699999999925', 'win_trades': '1001', 'winnning_percent': '0.8144833197721725', 'total_trades': '1229', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '648', 'total_shorts': '581', 'win_longs': '0.8256172839506173', 'win_shorts': '0.802065404475043'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.57459999999979', 'cash': '10.49200999999999', 'portfolio_value': '-4.96328', 'net': '5.52872999999999', 'total_profit': '0.5373699999999979', 'win_trades': '920', 'winnning_percent': '0.7776838546069316', 'total_trades': '1183', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '624', 'total_shorts': '559', 'win_longs': '0.782051282051282', 'win_shorts': '0.7728085867620751'}\n",
      "Test Data (best)->>  {'cash_profit': '11.693800000000776', 'cash': '10.172210000000039', 'portfolio_value': '-4.58752', 'net': '5.584690000000039', 'total_profit': '0.5897300000000054', 'win_trades': '2459', 'winnning_percent': '0.7713299874529486', 'total_trades': '3188', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1672', 'total_shorts': '1516', 'win_longs': '0.777511961722488', 'win_shorts': '0.7645118733509235'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:87| Highest Reward:2.651994863041124| Average Reward:1.2128405727427585| std Reward: 0.5084311386854254| Stagnation: 30| Population size: 256:  87%|████████▋ | 87/100 [1:29:09<13:37, 62.86s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.781400000000362', 'cash': '10.076590000000017', 'portfolio_value': '-4.58752', 'net': '5.489070000000018', 'total_profit': '0.4941100000000038', 'win_trades': '2310', 'winnning_percent': '0.7568807339449541', 'total_trades': '3052', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1612', 'total_shorts': '1440', 'win_longs': '0.7593052109181141', 'win_shorts': '0.7541666666666667'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:88| Highest Reward:2.953812848245488| Average Reward:1.2883337874669765| std Reward: 0.5231225203825205| Stagnation: 1| Population size: 256:  87%|████████▋ | 87/100 [1:30:08<13:37, 62.86s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '13.459000000000243', 'cash': '10.636230000000012', 'portfolio_value': '-4.96328', 'net': '5.672950000000012', 'total_profit': '0.6752099999999857', 'win_trades': '829', 'winnning_percent': '0.7895238095238095', 'total_trades': '1050', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '580', 'total_shorts': '470', 'win_longs': '0.7931034482758621', 'win_shorts': '0.7851063829787234'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '14.03099999999997', 'cash': '10.664829999999998', 'portfolio_value': '-4.96328', 'net': '5.701549999999998', 'total_profit': '0.7038099999999812', 'win_trades': '777', 'winnning_percent': '0.7832661290322581', 'total_trades': '992', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '558', 'total_shorts': '434', 'win_longs': '0.7849462365591398', 'win_shorts': '0.7811059907834101'}\n",
      "Test Data (best)->>  {'cash_profit': '8.21139999999927', 'cash': '7.704329999999963', 'portfolio_value': '-2.29376', 'net': '5.4105699999999635', 'total_profit': '0.41116000000000197', 'win_trades': '2230', 'winnning_percent': '0.7718933887158186', 'total_trades': '2889', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1600', 'total_shorts': '1289', 'win_longs': '0.773125', 'win_shorts': '0.7703646237393328'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:88| Highest Reward:2.953812848245488| Average Reward:1.2883337874669765| std Reward: 0.5231225203825205| Stagnation: 1| Population size: 256:  88%|████████▊ | 88/100 [1:30:13<12:37, 63.10s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.8439999999995615', 'cash': '7.635959999999978', 'portfolio_value': '-2.29376', 'net': '5.342199999999978', 'total_profit': '0.34278999999999504', 'win_trades': '2104', 'winnning_percent': '0.7639796659404503', 'total_trades': '2754', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1540', 'total_shorts': '1214', 'win_longs': '0.7681818181818182', 'win_shorts': '0.7586490939044481'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:89| Highest Reward:2.74139055401301| Average Reward:1.3001704576677766| std Reward: 0.5285342581780718| Stagnation: 2| Population size: 256:  88%|████████▊ | 88/100 [1:31:11<12:37, 63.10s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '10.462800000000128', 'cash': '10.486420000000006', 'portfolio_value': '-4.96328', 'net': '5.523140000000006', 'total_profit': '0.5317799999999824', 'win_trades': '939', 'winnning_percent': '0.8122837370242214', 'total_trades': '1156', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '615', 'total_shorts': '541', 'win_longs': '0.816260162601626', 'win_shorts': '0.8077634011090573'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.36259999999989', 'cash': '10.581409999999995', 'portfolio_value': '-4.96328', 'net': '5.6181299999999945', 'total_profit': '0.6203899999999911', 'win_trades': '592', 'winnning_percent': '0.7820343461030383', 'total_trades': '757', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '452', 'total_shorts': '305', 'win_longs': '0.7721238938053098', 'win_shorts': '0.7967213114754098'}\n",
      "Test Data (best)->>  {'cash_profit': '9.540999999999977', 'cash': '7.770809999999999', 'portfolio_value': '-2.29376', 'net': '5.477049999999999', 'total_profit': '0.4776400000000125', 'win_trades': '2402', 'winnning_percent': '0.7793640493186242', 'total_trades': '3082', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1651', 'total_shorts': '1431', 'win_longs': '0.7831617201695942', 'win_shorts': '0.7749825296995109'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:89| Highest Reward:2.74139055401301| Average Reward:1.3001704576677766| std Reward: 0.5285342581780718| Stagnation: 2| Population size: 256:  89%|████████▉ | 89/100 [1:31:15<11:30, 62.80s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '4.8392000000003765', 'cash': '7.535720000000019', 'portfolio_value': '-2.29376', 'net': '5.241960000000019', 'total_profit': '0.24255000000001226', 'win_trades': '1727', 'winnning_percent': '0.7658536585365854', 'total_trades': '2255', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1293', 'total_shorts': '962', 'win_longs': '0.7610208816705336', 'win_shorts': '0.7723492723492723'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:90| Highest Reward:3.1386510509337926| Average Reward:1.3317605837429036| std Reward: 0.5321839305747305| Stagnation: 1| Population size: 256:  89%|████████▉ | 89/100 [1:32:12<11:30, 62.80s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '12.9398000000003', 'cash': '4.406170000000015', 'portfolio_value': '1.24082', 'net': '5.646990000000015', 'total_profit': '0.6469900000000115', 'win_trades': '266', 'winnning_percent': '0.6963350785340314', 'total_trades': '382', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '244', 'total_shorts': '138', 'win_longs': '0.6926229508196722', 'win_shorts': '0.7028985507246377'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.9398000000003', 'cash': '4.406170000000015', 'portfolio_value': '1.24082', 'net': '5.646990000000015', 'total_profit': '0.6469900000000115', 'win_trades': '266', 'winnning_percent': '0.6963350785340314', 'total_trades': '382', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '244', 'total_shorts': '138', 'win_longs': '0.6926229508196722', 'win_shorts': '0.7028985507246377'}\n",
      "Test Data (best)->>  {'cash_profit': '5.126000000000053', 'cash': '6.4031800000000025', 'portfolio_value': '-1.14688', 'net': '5.256300000000003', 'total_profit': '0.2562999999999862', 'win_trades': '758', 'winnning_percent': '0.6484174508126604', 'total_trades': '1169', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '713', 'total_shorts': '456', 'win_longs': '0.6269284712482468', 'win_shorts': '0.6820175438596491'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:90| Highest Reward:3.1386510509337926| Average Reward:1.3317605837429036| std Reward: 0.5321839305747305| Stagnation: 1| Population size: 256:  90%|█████████ | 90/100 [1:32:17<10:24, 62.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '5.126000000000053', 'cash': '6.4031800000000025', 'portfolio_value': '-1.14688', 'net': '5.256300000000003', 'total_profit': '0.2562999999999862', 'win_trades': '758', 'winnning_percent': '0.6484174508126604', 'total_trades': '1169', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '713', 'total_shorts': '456', 'win_longs': '0.6269284712482468', 'win_shorts': '0.6820175438596491'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:91| Highest Reward:2.549495212592043| Average Reward:1.3403423000040684| std Reward: 0.49992639329353505| Stagnation: 2| Population size: 256:  90%|█████████ | 90/100 [1:33:14<10:24, 62.48s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '14.847600000000005', 'cash': '4.50156', 'portfolio_value': '1.24082', 'net': '5.74238', 'total_profit': '0.7423799999999978', 'win_trades': '358', 'winnning_percent': '0.7682403433476395', 'total_trades': '466', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '290', 'total_shorts': '176', 'win_longs': '0.7275862068965517', 'win_shorts': '0.8352272727272727'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '9.213800000000072', 'cash': '10.423970000000004', 'portfolio_value': '-4.96328', 'net': '5.460690000000004', 'total_profit': '0.47425999999999413', 'win_trades': '903', 'winnning_percent': '0.7984084880636605', 'total_trades': '1131', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '583', 'total_shorts': '548', 'win_longs': '0.8078902229845626', 'win_shorts': '0.7883211678832117'}\n",
      "Test Data (best)->>  {'cash_profit': '6.099800000000566', 'cash': '6.451870000000028', 'portfolio_value': '-1.14688', 'net': '5.3049900000000285', 'total_profit': '0.3049900000000365', 'win_trades': '1100', 'winnning_percent': '0.7367716008037508', 'total_trades': '1493', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '905', 'total_shorts': '588', 'win_longs': '0.7182320441988951', 'win_shorts': '0.7653061224489796'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:91| Highest Reward:2.549495212592043| Average Reward:1.3403423000040684| std Reward: 0.49992639329353505| Stagnation: 2| Population size: 256:  91%|█████████ | 91/100 [1:33:19<09:21, 62.40s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.519400000001266', 'cash': '10.113490000000063', 'portfolio_value': '-4.58752', 'net': '5.525970000000063', 'total_profit': '0.5310099999999893', 'win_trades': '2347', 'winnning_percent': '0.7743319036621577', 'total_trades': '3031', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1563', 'total_shorts': '1468', 'win_longs': '0.780550223928343', 'win_shorts': '0.7677111716621253'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:92| Highest Reward:2.992025985757653| Average Reward:1.266531566198657| std Reward: 0.5626637215484025| Stagnation: 3| Population size: 256:  91%|█████████ | 91/100 [1:34:18<09:21, 62.40s/ gen]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '7.34820000000016', 'cash': '0.4041300000000074', 'portfolio_value': '4.96328', 'net': '5.367410000000008', 'total_profit': '0.3348900000000019', 'win_trades': '121', 'winnning_percent': '0.6470588235294118', 'total_trades': '187', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '122', 'total_shorts': '65', 'win_longs': '0.6147540983606558', 'win_shorts': '0.7076923076923077'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.823399999999973', 'cash': '10.55445', 'portfolio_value': '-4.96328', 'net': '5.591169999999999', 'total_profit': '0.5998099999999937', 'win_trades': '1039', 'winnning_percent': '0.8206951026856241', 'total_trades': '1266', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '659', 'total_shorts': '607', 'win_longs': '0.8315629742033384', 'win_shorts': '0.8088962108731467'}\n",
      "Test Data (best)->>  {'cash_profit': '1.8502000000002239', 'cash': '5.092510000000011', 'portfolio_value': '0.0', 'net': '5.092510000000011', 'total_profit': '0.09251000000000387', 'win_trades': '464', 'winnning_percent': '0.6535211267605634', 'total_trades': '710', 'holdings': '0', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '445', 'total_shorts': '265', 'win_longs': '0.6292134831460674', 'win_shorts': '0.6943396226415094'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:92| Highest Reward:2.992025985757653| Average Reward:1.266531566198657| std Reward: 0.5626637215484025| Stagnation: 3| Population size: 256:  92%|█████████▏| 92/100 [1:34:22<08:20, 62.58s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.275800000000967', 'cash': '10.101310000000048', 'portfolio_value': '-4.58752', 'net': '5.513790000000048', 'total_profit': '0.5188300000000001', 'win_trades': '2464', 'winnning_percent': '0.77338355304457', 'total_trades': '3186', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1664', 'total_shorts': '1522', 'win_longs': '0.7746394230769231', 'win_shorts': '0.7720105124835742'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:93| Highest Reward:2.603197396530302| Average Reward:1.2495527959703918| std Reward: 0.539072603701521| Stagnation: 4| Population size: 256:  92%|█████████▏| 92/100 [1:35:20<08:20, 62.58s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '12.497600000000242', 'cash': '10.588160000000013', 'portfolio_value': '-4.96328', 'net': '5.6248800000000125', 'total_profit': '0.6329400000000049', 'win_trades': '340', 'winnning_percent': '0.74235807860262', 'total_trades': '458', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '254', 'total_shorts': '204', 'win_longs': '0.7362204724409449', 'win_shorts': '0.75'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.521599999999886', 'cash': '10.489359999999994', 'portfolio_value': '-4.96328', 'net': '5.526079999999994', 'total_profit': '0.5347199999999848', 'win_trades': '971', 'winnning_percent': '0.8111946532999165', 'total_trades': '1197', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '628', 'total_shorts': '569', 'win_longs': '0.8248407643312102', 'win_shorts': '0.7961335676625659'}\n",
      "Test Data (best)->>  {'cash_profit': '5.294799999999622', 'cash': '7.558499999999981', 'portfolio_value': '-2.29376', 'net': '5.264739999999981', 'total_profit': '0.2653299999999792', 'win_trades': '988', 'winnning_percent': '0.7027027027027027', 'total_trades': '1406', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '772', 'total_shorts': '634', 'win_longs': '0.677461139896373', 'win_shorts': '0.7334384858044164'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:93| Highest Reward:2.603197396530302| Average Reward:1.2495527959703918| std Reward: 0.539072603701521| Stagnation: 4| Population size: 256:  93%|█████████▎| 93/100 [1:35:24<07:17, 62.44s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.713000000001394', 'cash': '10.12317000000007', 'portfolio_value': '-4.58752', 'net': '5.53565000000007', 'total_profit': '0.5406900000000174', 'win_trades': '2409', 'winnning_percent': '0.7698945349952061', 'total_trades': '3129', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1643', 'total_shorts': '1486', 'win_longs': '0.776019476567255', 'win_shorts': '0.7631224764468372'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:94| Highest Reward:2.521380279303574| Average Reward:1.1731303422376969| std Reward: 0.5955326972683429| Stagnation: 5| Population size: 256:  93%|█████████▎| 93/100 [1:36:22<07:17, 62.44s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '10.093000000000218', 'cash': '4.263830000000011', 'portfolio_value': '1.24082', 'net': '5.504650000000011', 'total_profit': '0.5046500000000038', 'win_trades': '241', 'winnning_percent': '0.6965317919075145', 'total_trades': '346', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '225', 'total_shorts': '121', 'win_longs': '0.6888888888888889', 'win_shorts': '0.7107438016528925'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '15.032000000000156', 'cash': '10.714880000000008', 'portfolio_value': '-4.96328', 'net': '5.751600000000008', 'total_profit': '0.7563699999999949', 'win_trades': '425', 'winnning_percent': '0.7643884892086331', 'total_trades': '556', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '310', 'total_shorts': '246', 'win_longs': '0.7483870967741936', 'win_shorts': '0.7845528455284553'}\n",
      "Test Data (best)->>  {'cash_profit': '5.197800000000119', 'cash': '6.406770000000005', 'portfolio_value': '-1.14688', 'net': '5.259890000000006', 'total_profit': '0.2598900000000035', 'win_trades': '802', 'winnning_percent': '0.6907838070628768', 'total_trades': '1161', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '717', 'total_shorts': '444', 'win_longs': '0.6680613668061367', 'win_shorts': '0.7274774774774775'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:94| Highest Reward:2.521380279303574| Average Reward:1.1731303422376969| std Reward: 0.5955326972683429| Stagnation: 5| Population size: 256:  94%|█████████▍| 94/100 [1:36:28<06:16, 62.83s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.41980000000042', 'cash': '8.761630000000022', 'portfolio_value': '-3.4406399999999997', 'net': '5.320990000000021', 'total_profit': '0.3225100000000043', 'win_trades': '1031', 'winnning_percent': '0.6841406768414068', 'total_trades': '1507', 'holdings': '-3', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '822', 'total_shorts': '685', 'win_longs': '0.681265206812652', 'win_shorts': '0.6875912408759124'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:95| Highest Reward:2.709073522968427| Average Reward:1.4165918398858839| std Reward: 0.5169979652440716| Stagnation: 6| Population size: 256:  94%|█████████▍| 94/100 [1:37:25<06:16, 62.83s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.007800000000124', 'cash': '0.587110000000006', 'portfolio_value': '4.96328', 'net': '5.550390000000006', 'total_profit': '0.5227900000000034', 'win_trades': '211', 'winnning_percent': '0.6918032786885245', 'total_trades': '305', 'holdings': '4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '199', 'total_shorts': '106', 'win_longs': '0.6432160804020101', 'win_shorts': '0.7830188679245284'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '10.364999999999958', 'cash': '4.277429999999998', 'portfolio_value': '1.24082', 'net': '5.518249999999998', 'total_profit': '0.5182500000000001', 'win_trades': '394', 'winnning_percent': '0.7519083969465649', 'total_trades': '524', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '325', 'total_shorts': '199', 'win_longs': '0.72', 'win_shorts': '0.8040201005025126'}\n",
      "Test Data (best)->>  {'cash_profit': '3.966800000000026', 'cash': '6.345220000000001', 'portfolio_value': '-1.14688', 'net': '5.198340000000002', 'total_profit': '0.19834000000001906', 'win_trades': '807', 'winnning_percent': '0.7066549912434326', 'total_trades': '1142', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '708', 'total_shorts': '434', 'win_longs': '0.6864406779661016', 'win_shorts': '0.7396313364055299'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:95| Highest Reward:2.709073522968427| Average Reward:1.4165918398858839| std Reward: 0.5169979652440716| Stagnation: 6| Population size: 256:  95%|█████████▌| 95/100 [1:37:30<05:13, 62.61s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '5.153400000000263', 'cash': '6.404550000000013', 'portfolio_value': '-1.14688', 'net': '5.257670000000013', 'total_profit': '0.2576700000000123', 'win_trades': '1114', 'winnning_percent': '0.7343441001977588', 'total_trades': '1517', 'holdings': '-1', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '925', 'total_shorts': '592', 'win_longs': '0.7178378378378378', 'win_shorts': '0.7601351351351351'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:96| Highest Reward:2.6435886186616053| Average Reward:1.3817473681507484| std Reward: 0.5098058204135968| Stagnation: 7| Population size: 256:  95%|█████████▌| 95/100 [1:38:27<05:13, 62.61s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '14.312999999999798', 'cash': '10.67892999999999', 'portfolio_value': '-4.96328', 'net': '5.71564999999999', 'total_profit': '0.7179099999999914', 'win_trades': '680', 'winnning_percent': '0.793465577596266', 'total_trades': '857', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '493', 'total_shorts': '364', 'win_longs': '0.7870182555780934', 'win_shorts': '0.8021978021978022'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '13.509400000000182', 'cash': '10.638750000000009', 'portfolio_value': '-4.96328', 'net': '5.675470000000009', 'total_profit': '0.67772999999999', 'win_trades': '683', 'winnning_percent': '0.7823596792668958', 'total_trades': '873', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '495', 'total_shorts': '378', 'win_longs': '0.7757575757575758', 'win_shorts': '0.791005291005291'}\n",
      "Test Data (best)->>  {'cash_profit': '8.737199999999646', 'cash': '7.730619999999982', 'portfolio_value': '-2.29376', 'net': '5.4368599999999825', 'total_profit': '0.4374500000000088', 'win_trades': '1767', 'winnning_percent': '0.753839590443686', 'total_trades': '2344', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1342', 'total_shorts': '1002', 'win_longs': '0.7540983606557377', 'win_shorts': '0.7534930139720559'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:96| Highest Reward:2.6435886186616053| Average Reward:1.3817473681507484| std Reward: 0.5098058204135968| Stagnation: 7| Population size: 256:  96%|█████████▌| 96/100 [1:38:32<04:09, 62.38s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.825799999999752', 'cash': '7.785049999999988', 'portfolio_value': '-2.29376', 'net': '5.491289999999988', 'total_profit': '0.4918800000000041', 'win_trades': '1843', 'winnning_percent': '0.7553278688524591', 'total_trades': '2440', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1378', 'total_shorts': '1062', 'win_longs': '0.7547169811320755', 'win_shorts': '0.756120527306968'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:97| Highest Reward:2.472560763263664| Average Reward:1.4229664439782572| std Reward: 0.5034129182550338| Stagnation: 8| Population size: 256:  96%|█████████▌| 96/100 [1:39:30<04:09, 62.38s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '14.33440000000028', 'cash': '10.680000000000014', 'portfolio_value': '-4.96328', 'net': '5.716720000000014', 'total_profit': '0.7189799999999911', 'win_trades': '635', 'winnning_percent': '0.7715674362089915', 'total_trades': '823', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '480', 'total_shorts': '343', 'win_longs': '0.76875', 'win_shorts': '0.7755102040816326'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '11.86380000000009', 'cash': '10.556470000000004', 'portfolio_value': '-4.96328', 'net': '5.593190000000004', 'total_profit': '0.5954499999999887', 'win_trades': '714', 'winnning_percent': '0.7338129496402878', 'total_trades': '973', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '543', 'total_shorts': '430', 'win_longs': '0.7348066298342542', 'win_shorts': '0.7325581395348837'}\n",
      "Test Data (best)->>  {'cash_profit': '9.921000000000735', 'cash': '7.7898100000000365', 'portfolio_value': '-2.29376', 'net': '5.496050000000037', 'total_profit': '0.4966400000000202', 'win_trades': '1658', 'winnning_percent': '0.7415026833631485', 'total_trades': '2236', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1292', 'total_shorts': '944', 'win_longs': '0.7422600619195047', 'win_shorts': '0.7404661016949152'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:97| Highest Reward:2.472560763263664| Average Reward:1.4229664439782572| std Reward: 0.5034129182550338| Stagnation: 8| Population size: 256:  97%|█████████▋| 97/100 [1:39:34<03:06, 62.33s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.864199999999146', 'cash': '7.7869699999999575', 'portfolio_value': '-2.29376', 'net': '5.493209999999958', 'total_profit': '0.4937999999999876', 'win_trades': '2014', 'winnning_percent': '0.7326300472899236', 'total_trades': '2749', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1520', 'total_shorts': '1229', 'win_longs': '0.7368421052631579', 'win_shorts': '0.7274206672091131'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:98| Highest Reward:2.6662490978586115| Average Reward:1.4654330168853484| std Reward: 0.4673784950784767| Stagnation: 9| Population size: 256:  97%|█████████▋| 97/100 [1:40:31<03:06, 62.33s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '11.765399999999904', 'cash': '10.551549999999995', 'portfolio_value': '-4.96328', 'net': '5.588269999999995', 'total_profit': '0.5930399999999953', 'win_trades': '605', 'winnning_percent': '0.7776349614395887', 'total_trades': '778', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '428', 'total_shorts': '350', 'win_longs': '0.780373831775701', 'win_shorts': '0.7742857142857142'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '13.76319999999982', 'cash': '4.447339999999991', 'portfolio_value': '1.24082', 'net': '5.688159999999991', 'total_profit': '0.6881599999999934', 'win_trades': '479', 'winnning_percent': '0.744945567651633', 'total_trades': '643', 'holdings': '1', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '387', 'total_shorts': '256', 'win_longs': '0.7338501291989664', 'win_shorts': '0.76171875'}\n",
      "Test Data (best)->>  {'cash_profit': '10.291800000000183', 'cash': '10.102110000000009', 'portfolio_value': '-4.58752', 'net': '5.514590000000009', 'total_profit': '0.5175300000000127', 'win_trades': '1661', 'winnning_percent': '0.7619266055045871', 'total_trades': '2180', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1193', 'total_shorts': '987', 'win_longs': '0.7384744341994971', 'win_shorts': '0.790273556231003'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:98| Highest Reward:2.6662490978586115| Average Reward:1.4654330168853484| std Reward: 0.4673784950784767| Stagnation: 9| Population size: 256:  98%|█████████▊| 98/100 [1:40:35<02:04, 62.03s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '6.470400000000653', 'cash': '7.617280000000033', 'portfolio_value': '-2.29376', 'net': '5.323520000000033', 'total_profit': '0.324110000000009', 'win_trades': '1460', 'winnning_percent': '0.7329317269076305', 'total_trades': '1992', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1167', 'total_shorts': '825', 'win_longs': '0.7257926306769494', 'win_shorts': '0.743030303030303'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:99| Highest Reward:3.219868723065691| Average Reward:1.3830999430161803| std Reward: 0.4648100974797424| Stagnation: 1| Population size: 256:  98%|█████████▊| 98/100 [1:41:33<02:04, 62.03s/ gen] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '6.760399999999889', 'cash': '10.301299999999994', 'portfolio_value': '-4.96328', 'net': '5.338019999999994', 'total_profit': '0.3566700000000038', 'win_trades': '757', 'winnning_percent': '0.7844559585492228', 'total_trades': '965', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '499', 'total_shorts': '466', 'win_longs': '0.7835671342685371', 'win_shorts': '0.7854077253218884'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '12.159799999999832', 'cash': '10.571269999999991', 'portfolio_value': '-4.96328', 'net': '5.607989999999991', 'total_profit': '0.6127599999999884', 'win_trades': '540', 'winnning_percent': '0.783744557329463', 'total_trades': '689', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '389', 'total_shorts': '300', 'win_longs': '0.7686375321336761', 'win_shorts': '0.8033333333333333'}\n",
      "Test Data (best)->>  {'cash_profit': '10.388600000000947', 'cash': '10.106950000000047', 'portfolio_value': '-4.58752', 'net': '5.519430000000048', 'total_profit': '0.5244700000000162', 'win_trades': '1759', 'winnning_percent': '0.7381451951321863', 'total_trades': '2383', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1225', 'total_shorts': '1158', 'win_longs': '0.7322448979591837', 'win_shorts': '0.7443868739205527'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:99| Highest Reward:3.219868723065691| Average Reward:1.3830999430161803| std Reward: 0.4648100974797424| Stagnation: 1| Population size: 256:  99%|█████████▉| 99/100 [1:41:38<01:02, 62.29s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '10.037400000000707', 'cash': '10.089390000000035', 'portfolio_value': '-4.58752', 'net': '5.501870000000036', 'total_profit': '0.5048100000000171', 'win_trades': '1514', 'winnning_percent': '0.7592778335005015', 'total_trades': '1994', 'holdings': '-4', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1109', 'total_shorts': '885', 'win_longs': '0.7339945897204689', 'win_shorts': '0.7909604519774012'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generation:100| Highest Reward:2.8422757353937733| Average Reward:1.4674731547620308| std Reward: 0.4888749785300144| Stagnation: 2| Population size: 256:  99%|█████████▉| 99/100 [1:42:36<01:02, 62.29s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traning Data (best) ->>  {'cash_profit': '15.428400000000009', 'cash': '10.7347', 'portfolio_value': '-4.96328', 'net': '5.77142', 'total_profit': '0.773679999999987', 'win_trades': '659', 'winnning_percent': '0.7752941176470588', 'total_trades': '850', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '489', 'total_shorts': '361', 'win_longs': '0.7709611451942741', 'win_shorts': '0.7811634349030471'}\n",
      "Traning Data (latest) ->>  {'cash_profit': '15.428400000000009', 'cash': '10.7347', 'portfolio_value': '-4.96328', 'net': '5.77142', 'total_profit': '0.773679999999987', 'win_trades': '659', 'winnning_percent': '0.7752941176470588', 'total_trades': '850', 'holdings': '-4', 'step_value': '4099', 'max_holdings': '4', 'total_longs': '489', 'total_shorts': '361', 'win_longs': '0.7709611451942741', 'win_shorts': '0.7811634349030471'}\n",
      "Test Data (best)->>  {'cash_profit': '9.85380000000009', 'cash': '7.786450000000004', 'portfolio_value': '-2.29376', 'net': '5.492690000000004', 'total_profit': '0.49328000000001193', 'win_trades': '1832', 'winnning_percent': '0.752670501232539', 'total_trades': '2434', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1386', 'total_shorts': '1048', 'win_longs': '0.7532467532467533', 'win_shorts': '0.7519083969465649'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Generation:100| Highest Reward:2.8422757353937733| Average Reward:1.4674731547620308| std Reward: 0.4888749785300144| Stagnation: 2| Population size: 256: 100%|██████████| 100/100 [1:42:41<00:00, 62.45s/ gen]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Data (latest)->>  {'cash_profit': '9.85380000000009', 'cash': '7.786450000000004', 'portfolio_value': '-2.29376', 'net': '5.492690000000004', 'total_profit': '0.49328000000001193', 'win_trades': '1832', 'winnning_percent': '0.752670501232539', 'total_trades': '2434', 'holdings': '-2', 'step_value': '11623', 'max_holdings': '4', 'total_longs': '1386', 'total_shorts': '1048', 'win_longs': '0.7532467532467533', 'win_shorts': '0.7519083969465649'}\n",
      "CPU times: user 9min 7s, sys: 16.5 s, total: 9min 23s\n",
      "Wall time: 1h 42min 41s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'max': 1.4343689798412007,\n",
       "  'mean': -90.18576897945485,\n",
       "  'std': 27.372599707715327},\n",
       " {'max': 1.5080492088381106,\n",
       "  'mean': -79.23815058169582,\n",
       "  'std': 38.112452411722956},\n",
       " {'max': 1.0524680459407676,\n",
       "  'mean': -78.48244320699574,\n",
       "  'std': 39.90443979433635},\n",
       " {'max': 0.9616786237434043,\n",
       "  'mean': -69.34271913944133,\n",
       "  'std': 44.784970771735466},\n",
       " {'max': 1.110242769762553,\n",
       "  'mean': -69.27143658749851,\n",
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       " {'max': 1.5589786279658056,\n",
       "  'mean': -78.84381490257138,\n",
       "  'std': 39.398756537327635},\n",
       " {'max': 1.1479811729514093,\n",
       "  'mean': -58.42920465356537,\n",
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       " {'max': 2.1215105971794084,\n",
       "  'mean': -71.71570013779149,\n",
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       " {'max': 1.3947675819595853,\n",
       "  'mean': -63.58692149694461,\n",
       "  'std': 46.151079533573586},\n",
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     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "genetic_pop.fit(\n",
    "    env, \n",
    "    summary_writer, \n",
    "    is_market=True, \n",
    "    env_args=args, \n",
    "    num_cpus=4, \n",
    "    debug=True, \n",
    "    test_env_args=test_args\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         max       mean        std\n",
      "0   1.434369 -90.185769  27.372600\n",
      "1   1.508049 -79.238151  38.112452\n",
      "2   1.052468 -78.482443  39.904440\n",
      "3   0.961679 -69.342719  44.784971\n",
      "4   1.110243 -69.271437  45.124489\n",
      "..       ...        ...        ...\n",
      "95  2.643589   1.381747   0.509806\n",
      "96  2.472561   1.422966   0.503413\n",
      "97  2.666249   1.465433   0.467378\n",
      "98  3.219869   1.383100   0.464810\n",
      "99  2.842276   1.467473   0.488875\n",
      "\n",
      "[100 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(genetic_pop.global_info)\n",
    "print(df)\n",
    "\n",
    "fig = plt.figure(facecolor='white')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.plot(df['max'][1:], label='max')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "fig = plt.figure(facecolor='white')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.plot(df['mean'], label='mean')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SimpleProfit\n"
     ]
    }
   ],
   "source": [
    "# Environment Initialization\n",
    "args = {\n",
    "    'x': x_train, \n",
    "    'actions': possible_actions, \n",
    "    'state_size': state_size, \n",
    "    'start_index': 10000,\n",
    "    'end_index': 50000,\n",
    "    'initial_cash': initial_cash,\n",
    "    'close_col': close_col, \n",
    "    'undo_detrend': x_train_undo_detrend, \n",
    "    'reward_function': reward_function, \n",
    "    'profit_window_size': profit_window_size, \n",
    "    'inaction_penalty': inaction_penalty,\n",
    "    'large_holdings_penalty': large_holdings_penalty\n",
    "}\n",
    "env = MarketEnvironmentV1(**args)\n",
    "env.reset()\n",
    "state_dim = env.get_state_size()\n",
    "action_dim = env.get_action_size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def buy():\n",
    "    states_sell = []\n",
    "    states_buy = []\n",
    "    close = []\n",
    "    \n",
    "    observation = env.reset()\n",
    "    done = False\n",
    "    t = 0 \n",
    "\n",
    "    while not done:\n",
    "        close.append(env.get_last_close())\n",
    "        action = genetic_pop.best_network.act(np.array(observation))\n",
    "        if action == 1: states_buy.append(t)\n",
    "        if action == 2: states_sell.append(t)\n",
    "            \n",
    "        observation, r, done, _ = env.step(action)\n",
    "        \n",
    "        t += 1\n",
    "        \n",
    "    info = env.get_info()\n",
    "    return close, states_buy, states_sell, float(info['total_profit']), float(info['cash_profit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "close, states_buy, states_sell, total_gains, invest = buy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (15,5))\n",
    "plt.plot(close, color='r', lw=2.)\n",
    "plt.plot(close, '^', markersize=10, color='m', label = 'buying signal', markevery = states_buy)\n",
    "plt.plot(close, 'v', markersize=10, color='k', label = 'selling signal', markevery = states_sell)\n",
    "plt.title('total gains %f, total investment %f%%'%(total_gains, invest))\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Choosing best"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  0%|          | 0/100 [00:00<?, ?it/s]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  1 result:  18.11539999999998\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  1%|          | 1/100 [00:11<18:42, 11.34s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  1 result:  0.0\n",
      "Finished run  2 result:  18.11539999999998\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  2%|▏         | 2/100 [00:18<16:41, 10.22s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  2 result:  1.7769999999992292\n",
      "Finished run  3 result:  7.129799999999653\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  3%|▎         | 3/100 [00:26<15:17,  9.46s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  3 result:  18.11539999999998\n",
      "Finished run  4 result:  -5.470600000000159\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  4%|▍         | 4/100 [00:35<14:56,  9.33s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  4 result:  18.11539999999998\n",
      "Finished run  5 result:  18.11539999999998\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  5%|▌         | 5/100 [00:42<13:36,  8.60s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  5 result:  1.2861999999999707\n",
      "Finished run  6 result:  -13.234000000000334\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  6%|▌         | 6/100 [00:54<15:14,  9.73s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  6 result:  18.11539999999998\n",
      "Finished run  7 result:  2.980399999999994\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  7%|▋         | 7/100 [00:57<11:37,  7.50s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  7 result:  1.2861999999999707\n",
      "Finished run  8 result:  1.2861999999999707\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  8%|▊         | 8/100 [01:04<11:13,  7.32s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  8 result:  13.98660000000078\n",
      "Finished run  9 result:  3.6825999999998915\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "  9%|▉         | 9/100 [01:15<13:05,  8.63s/it]\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  9 result:  18.17199999999999\n",
      "Finished run  10 result:  12.891000000000275\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
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      "Finished run  59 result:  -1.679799999999787\n",
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      "Finished run  89 result:  7.891200000000653\n",
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      "Finished run  98 result:  12.411399999999473\n",
      "Finished run  99 result:  24.7286000000005\n"
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    },
    {
     "name": "stderr",
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    {
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     "output_type": "stream",
     "text": [
      "Finished run  99 result:  5.145799999999712\n",
      "Finished run  100 result:  6.330600000000919\n"
     ]
    },
    {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished run  100 result:  6.330600000000919\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "best = (-9999, -1, 'best')\n",
    "all_runs = []\n",
    "\n",
    "for i in tqdm(range(len(genetic_pop.global_info))):\n",
    "    for mode in ['last', 'best']:\n",
    "        path = 'saved_models/DeepNeuro_Gen_' + mode + '_' + str(i + 1) + '.pkl'\n",
    "        genetic_pop.load_weights(path)\n",
    "\n",
    "        close, states_buy, states_sell, total_gains, invest = buy()\n",
    "        print('Finished run ', i + 1, 'result: ', invest)\n",
    "\n",
    "        all_runs.append((invest, i + 1, mode))\n",
    "        if invest >= best[0]: best = (invest, i + 1, mode)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best  (35.71400000000118, 60, 'best')\n",
      "Mean profit 10.406489000000052\n"
     ]
    }
   ],
   "source": [
    "plt.plot([a[0] for a in all_runs])\n",
    "plt.show()\n",
    "print('Best ', best)\n",
    "print('Mean profit', np.array([a[0] for a in all_runs]).mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(genetic_pop.best_network.params['weights'][0], cmap='hot', interpolation='nearest')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}