stock_price_pred_v1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/rishimurki/stock_price_predictor/blob/main/stock_price_pred_v1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_i3UyZaMF5Uv",
        "outputId": "504065fd-73e1-481e-e5fb-6976304b06cc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: openbb in /usr/local/lib/python3.10/dist-packages (3.0.1)\n",
            "Requirement already satisfied: FundamentalAnalysis<0.3.0,>=0.2.6 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.2.14)\n",
            "Requirement already satisfied: GitPython<4.0.0,>=3.1.17 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.1.31)\n",
            "Requirement already satisfied: Jinja2<4.0.0,>=3.0.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.1.2)\n",
            "Requirement already satisfied: Pygments<3.0.0,>=2.11.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.14.0)\n",
            "Requirement already satisfied: Quandl<4.0.0,>=3.6.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.7.0)\n",
            "Requirement already satisfied: alpha-vantage<3.0.0,>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.3.1)\n",
            "Requirement already satisfied: arch<6.0.0,>=5.5.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (5.6.0)\n",
            "Requirement already satisfied: ascii-magic<2.0,>=1.6 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.6)\n",
            "Requirement already satisfied: bs4<0.0.2,>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.0.1)\n",
            "Requirement already satisfied: bt<0.3.0,>=0.2.9 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.2.9)\n",
            "Requirement already satisfied: ccxt<3.0.0,>=2.5.67 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.9.16)\n",
            "Requirement already satisfied: degiro-connector<3.0.0,>=2.0.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.0.21)\n",
            "Requirement already satisfied: detecta<0.0.6,>=0.0.5 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.0.5)\n",
            "Requirement already satisfied: dnspython<3.0.0,>=2.1.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.3.0)\n",
            "Requirement already satisfied: feedparser<7.0.0,>=6.0.10 in /usr/local/lib/python3.10/dist-packages (from openbb) (6.0.10)\n",
            "Requirement already satisfied: financedatabase<3.0.0,>=2.0.9 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.1.0)\n",
            "Requirement already satisfied: finnhub-python<3.0.0,>=2.4.10 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.4.18)\n",
            "Requirement already satisfied: finviz<2.0.0,>=1.4.6 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.4.6)\n",
            "Requirement already satisfied: finvizfinance<0.15.0,>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.14.5)\n",
            "Requirement already satisfied: fred<4.0,>=3.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.1)\n",
            "Requirement already satisfied: fredapi<0.5.0,>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.4.3)\n",
            "Requirement already satisfied: grpcio<2.0.0,>=1.51.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.54.0)\n",
            "Requirement already satisfied: holidays<0.15.0,>=0.14.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.14.2)\n",
            "Requirement already satisfied: html5lib<2.0,>=1.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.1)\n",
            "Requirement already satisfied: intrinio-sdk<7.0.0,>=6.22.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (6.24.0)\n",
            "Requirement already satisfied: ipympl<0.9.0,>=0.8.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.8.4)\n",
            "Requirement already satisfied: ipython==8.11.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (8.11.0)\n",
            "Requirement already satisfied: ipywidgets<9.0.0,>=8.0.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (8.0.6)\n",
            "Requirement already satisfied: iso8601<0.2.0,>=0.1.14 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.1.16)\n",
            "Requirement already satisfied: jupyterlab<4.0.0,>=3.2.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.6.4)\n",
            "Requirement already satisfied: jupyterlab-widgets<4.0.0,>=3.0.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.0.7)\n",
            "Requirement already satisfied: linearmodels<5.0,>=4.25 in /usr/local/lib/python3.10/dist-packages (from openbb) (4.31)\n",
            "Requirement already satisfied: matplotlib<4.0.0,>=3.3.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.7.1)\n",
            "Requirement already satisfied: mplfinance<0.13.0,>=0.12.7-alpha.7 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.12.9b7)\n",
            "Requirement already satisfied: mstarpy<0.0.5,>=0.0.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.0.4)\n",
            "Requirement already satisfied: numpy==1.23.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.23.4)\n",
            "Requirement already satisfied: oandapyV20<0.7.0,>=0.6.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.6.3)\n",
            "Requirement already satisfied: openpyxl<4.0.0,>=3.0.9 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.0.10)\n",
            "Requirement already satisfied: packaging>=22.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (23.1)\n",
            "Requirement already satisfied: pandas<2.0.0,>=1.5.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.5.3)\n",
            "Requirement already satisfied: pandas-market-calendars<3.3,>=3.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.2)\n",
            "Requirement already satisfied: pandas-ta<0.4.0,>=0.3.14-beta.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.3.14b0)\n",
            "Requirement already satisfied: papermill==2.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.4.0)\n",
            "Requirement already satisfied: plotly<6.0.0,>=5.14.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (5.15.0)\n",
            "Requirement already satisfied: pmaw<4.0.0,>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.0.0)\n",
            "Requirement already satisfied: posthog<4.0.0,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.0.1)\n",
            "Requirement already satisfied: praw<8.0.0,>=7.1.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (7.7.0)\n",
            "Requirement already satisfied: prompt-toolkit<4.0.0,>=3.0.16 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.0.38)\n",
            "Requirement already satisfied: protobuf==3.20.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.20.1)\n",
            "Requirement already satisfied: psutil!=5.9.4 in /usr/local/lib/python3.10/dist-packages (from openbb) (5.9.5)\n",
            "Requirement already satisfied: pycoingecko<4.0.0,>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.1.0)\n",
            "Requirement already satisfied: pydantic<2.0.0,>=1.10.5 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.10.7)\n",
            "Requirement already satisfied: pyrsistent<0.20.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.19.3)\n",
            "Requirement already satisfied: pythclient<0.2.0,>=0.1.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.1.5)\n",
            "Requirement already satisfied: python-binance<2.0.0,>=1.0.15 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.0.17)\n",
            "Requirement already satisfied: python-coinmarketcap<0.3,>=0.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.2)\n",
            "Requirement already satisfied: python-dotenv<0.20.0,>=0.19.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.19.2)\n",
            "Requirement already satisfied: python-i18n<0.4.0,>=0.3.9 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.3.9)\n",
            "Requirement already satisfied: pytrends==4.9.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (4.9.2)\n",
            "Requirement already satisfied: pywry<0.6.0,>=0.5.8 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.5.12)\n",
            "Requirement already satisfied: reportlab<4 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.6.13)\n",
            "Requirement already satisfied: requests<3.0.0,>=2.25.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.31.0)\n",
            "Requirement already satisfied: rich<13.0.0,>=12.6.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (12.6.0)\n",
            "Requirement already satisfied: robin-stocks<3.0.0,>=2.0.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.1.0)\n",
            "Requirement already satisfied: ruamel.yaml<0.18.0,>=0.17.21 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.17.32)\n",
            "Requirement already satisfied: scipy<2.0.0,>=1.9.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.10.1)\n",
            "Requirement already satisfied: screeninfo<0.7.0,>=0.6.7 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.6.7)\n",
            "Requirement already satisfied: seaborn<0.12.0,>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.11.2)\n",
            "Requirement already satisfied: setuptools<65.5.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (65.4.1)\n",
            "Requirement already satisfied: sparqlwrapper<3.0.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.0.0)\n",
            "Requirement already satisfied: squarify<0.5.0,>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.4.3)\n",
            "Requirement already satisfied: statsmodels<0.14,>=0.13 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.13.5)\n",
            "Requirement already satisfied: stocksera<0.2.0,>=0.1.21 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.1.21)\n",
            "Requirement already satisfied: streamlit<2.0.0,>=1.22.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.23.1)\n",
            "Requirement already satisfied: svglib<2.0.0,>=1.5.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.5.1)\n",
            "Requirement already satisfied: thepassiveinvestor<2.0.0,>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.2.1)\n",
            "Requirement already satisfied: tokenterminal<2.0.0,>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from openbb) (1.0.1)\n",
            "Requirement already satisfied: tradingview-ta<4.0.0,>=3.2.3 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.3.0)\n",
            "Requirement already satisfied: vaderSentiment==3.3.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (3.3.2)\n",
            "Requirement already satisfied: valinvest<0.0.3,>=0.0.2 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.0.2)\n",
            "Requirement already satisfied: watchdog<3.0.0,>=2.1.9 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.3.1)\n",
            "Requirement already satisfied: y-py!=0.5.5 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.5.9)\n",
            "Requirement already satisfied: yahooquery<3.0.0,>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from openbb) (2.3.1)\n",
            "Requirement already satisfied: yfinance<0.3.0,>=0.2.12 in /usr/local/lib/python3.10/dist-packages (from openbb) (0.2.18)\n",
            "Requirement already satisfied: backcall in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (0.2.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (4.4.2)\n",
            "Requirement already satisfied: jedi>=0.16 in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (0.18.2)\n",
            "Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (0.1.6)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (0.7.5)\n",
            "Requirement already satisfied: stack-data in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (0.6.2)\n",
            "Requirement already satisfied: traitlets>=5 in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (5.7.1)\n",
            "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.10/dist-packages (from ipython==8.11.0->openbb) (4.8.0)\n",
            "Requirement already satisfied: ansiwrap in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (0.8.4)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (8.1.3)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (6.0)\n",
            "Requirement already satisfied: nbformat>=5.1.2 in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (5.8.0)\n",
            "Requirement already satisfied: nbclient>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (0.7.4)\n",
            "Requirement already satisfied: tqdm>=4.32.2 in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (4.65.0)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (0.4)\n",
            "Requirement already satisfied: tenacity in /usr/local/lib/python3.10/dist-packages (from papermill==2.4->openbb) (8.2.2)\n",
            "Requirement already satisfied: lxml in /usr/local/lib/python3.10/dist-packages (from pytrends==4.9.2->openbb) (4.9.2)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from alpha-vantage<3.0.0,>=2.3.1->openbb) (3.8.4)\n",
            "Requirement already satisfied: property-cached>=1.6.4 in /usr/local/lib/python3.10/dist-packages (from arch<6.0.0,>=5.5.0->openbb) (1.6.4)\n",
            "Requirement already satisfied: colorama in /usr/local/lib/python3.10/dist-packages (from ascii-magic<2.0,>=1.6->openbb) (0.4.6)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from ascii-magic<2.0,>=1.6->openbb) (9.5.0)\n",
            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from bs4<0.0.2,>=0.0.1->openbb) (4.11.2)\n",
            "Requirement already satisfied: ffn>=0.3.5 in /usr/local/lib/python3.10/dist-packages (from bt<0.3.0,>=0.2.9->openbb) (0.3.7)\n",
            "Requirement already satisfied: pyprind>=2.11 in /usr/local/lib/python3.10/dist-packages (from bt<0.3.0,>=0.2.9->openbb) (2.11.3)\n",
            "Requirement already satisfied: certifi>=2018.1.18 in /usr/local/lib/python3.10/dist-packages (from ccxt<3.0.0,>=2.5.67->openbb) (2022.12.7)\n",
            "Requirement already satisfied: cryptography>=2.6.1 in /usr/local/lib/python3.10/dist-packages (from ccxt<3.0.0,>=2.5.67->openbb) (40.0.2)\n",
            "Requirement already satisfied: aiodns>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from ccxt<3.0.0,>=2.5.67->openbb) (3.0.0)\n",
            "Requirement already satisfied: yarl>=1.7.2 in /usr/local/lib/python3.10/dist-packages (from ccxt<3.0.0,>=2.5.67->openbb) (1.9.2)\n",
            "Requirement already satisfied: onetimepass<2.0.0,>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from degiro-connector<3.0.0,>=2.0.3->openbb) (1.0.1)\n",
            "Requirement already satisfied: wrapt<2.0.0,>=1.12.1 in /usr/local/lib/python3.10/dist-packages (from degiro-connector<3.0.0,>=2.0.3->openbb) (1.14.1)\n",
            "Requirement already satisfied: sgmllib3k in /usr/local/lib/python3.10/dist-packages (from feedparser<7.0.0,>=6.0.10->openbb) (1.0.0)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.10/dist-packages (from finviz<2.0.0,>=1.4.6->openbb) (1.26.15)\n",
            "Requirement already satisfied: cssselect in /usr/local/lib/python3.10/dist-packages (from finviz<2.0.0,>=1.4.6->openbb) (1.2.0)\n",
            "Requirement already satisfied: user-agent in /usr/local/lib/python3.10/dist-packages (from finviz<2.0.0,>=1.4.6->openbb) (0.1.10)\n",
            "Requirement already satisfied: datetime in /usr/local/lib/python3.10/dist-packages (from finvizfinance<0.15.0,>=0.14.0->openbb) (5.1)\n",
            "Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from GitPython<4.0.0,>=3.1.17->openbb) (4.0.10)\n",
            "Requirement already satisfied: convertdate>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from holidays<0.15.0,>=0.14.2->openbb) (2.4.0)\n",
            "Requirement already satisfied: hijri-converter in /usr/local/lib/python3.10/dist-packages (from holidays<0.15.0,>=0.14.2->openbb) (2.3.1)\n",
            "Requirement already satisfied: korean-lunar-calendar in /usr/local/lib/python3.10/dist-packages (from holidays<0.15.0,>=0.14.2->openbb) (0.3.1)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from holidays<0.15.0,>=0.14.2->openbb) (2.8.2)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib<2.0,>=1.1->openbb) (1.16.0)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib<2.0,>=1.1->openbb) (0.5.1)\n",
            "Requirement already satisfied: retrying>=1.3.3 in /usr/local/lib/python3.10/dist-packages (from intrinio-sdk<7.0.0,>=6.22.2->openbb) (1.3.4)\n",
            "Requirement already satisfied: ipykernel>=4.7 in /usr/local/lib/python3.10/dist-packages (from ipympl<0.9.0,>=0.8.2->openbb) (5.5.6)\n",
            "Requirement already satisfied: widgetsnbextension~=4.0.7 in /usr/local/lib/python3.10/dist-packages (from ipywidgets<9.0.0,>=8.0.2->openbb) (4.0.7)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2<4.0.0,>=3.0.3->openbb) (2.1.2)\n",
            "Requirement already satisfied: tornado>=6.1.0 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (6.3.1)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (5.3.0)\n",
            "Requirement already satisfied: jupyterlab-server~=2.19 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (2.23.0)\n",
            "Requirement already satisfied: jupyter-server<3,>=1.16.0 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (1.24.0)\n",
            "Requirement already satisfied: jupyter-ydoc~=0.2.4 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (0.2.4)\n",
            "Requirement already satisfied: jupyter-server-ydoc~=0.8.0 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (0.8.0)\n",
            "Requirement already satisfied: nbclassic in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (1.0.0)\n",
            "Requirement already satisfied: notebook<7 in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (6.4.8)\n",
            "Requirement already satisfied: tomli in /usr/local/lib/python3.10/dist-packages (from jupyterlab<4.0.0,>=3.2.4->openbb) (2.0.1)\n",
            "Requirement already satisfied: mypy-extensions>=0.4 in /usr/local/lib/python3.10/dist-packages (from linearmodels<5.0,>=4.25->openbb) (1.0.0)\n",
            "Requirement already satisfied: Cython>=0.29.21 in /usr/local/lib/python3.10/dist-packages (from linearmodels<5.0,>=4.25->openbb) (0.29.34)\n",
            "Requirement already satisfied: pyhdfe>=0.1 in /usr/local/lib/python3.10/dist-packages (from linearmodels<5.0,>=4.25->openbb) (0.1.2)\n",
            "Requirement already satisfied: formulaic>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from linearmodels<5.0,>=4.25->openbb) (0.6.1)\n",
            "Requirement already satisfied: setuptools-scm[toml]>=7.0.0 in /usr/local/lib/python3.10/dist-packages (from linearmodels<5.0,>=4.25->openbb) (7.1.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.3.3->openbb) (1.0.7)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.3.3->openbb) (0.11.0)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.3.3->openbb) (4.39.3)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.3.3->openbb) (1.4.4)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.3.3->openbb) (3.0.9)\n",
            "Requirement already satisfied: et-xmlfile in /usr/local/lib/python3.10/dist-packages (from openpyxl<4.0.0,>=3.0.9->openbb) (1.1.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<2.0.0,>=1.5.0->openbb) (2022.7.1)\n",
            "Requirement already satisfied: exchange-calendars>=3.3 in /usr/local/lib/python3.10/dist-packages (from pandas-market-calendars<3.3,>=3.2->openbb) (4.2.8)\n",
            "Requirement already satisfied: monotonic>=1.5 in /usr/local/lib/python3.10/dist-packages (from posthog<4.0.0,>=3.0.1->openbb) (1.6)\n",
            "Requirement already satisfied: backoff>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from posthog<4.0.0,>=3.0.1->openbb) (2.2.1)\n",
            "Requirement already satisfied: prawcore<3,>=2.1 in /usr/local/lib/python3.10/dist-packages (from praw<8.0.0,>=7.1.4->openbb) (2.3.0)\n",
            "Requirement already satisfied: update-checker>=0.18 in /usr/local/lib/python3.10/dist-packages (from praw<8.0.0,>=7.1.4->openbb) (0.18.0)\n",
            "Requirement already satisfied: websocket-client>=0.54.0 in /usr/local/lib/python3.10/dist-packages (from praw<8.0.0,>=7.1.4->openbb) (1.5.1)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit<4.0.0,>=3.0.16->openbb) (0.2.6)\n",
            "Requirement already satisfied: typing-extensions>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<2.0.0,>=1.10.5->openbb) (4.5.0)\n",
            "Requirement already satisfied: base58 in /usr/local/lib/python3.10/dist-packages (from pythclient<0.2.0,>=0.1.2->openbb) (2.1.1)\n",
            "Requirement already satisfied: flake8 in /usr/local/lib/python3.10/dist-packages (from pythclient<0.2.0,>=0.1.2->openbb) (6.0.0)\n",
            "Requirement already satisfied: loguru in /usr/local/lib/python3.10/dist-packages (from pythclient<0.2.0,>=0.1.2->openbb) (0.7.0)\n",
            "Requirement already satisfied: dateparser in /usr/local/lib/python3.10/dist-packages (from python-binance<2.0.0,>=1.0.15->openbb) (1.1.8)\n",
            "Requirement already satisfied: ujson in /usr/local/lib/python3.10/dist-packages (from python-binance<2.0.0,>=1.0.15->openbb) (5.8.0)\n",
            "Requirement already satisfied: websockets in /usr/local/lib/python3.10/dist-packages (from python-binance<2.0.0,>=1.0.15->openbb) (11.0.3)\n",
            "Requirement already satisfied: pycryptodome in /usr/local/lib/python3.10/dist-packages (from python-binance<2.0.0,>=1.0.15->openbb) (3.18.0)\n",
            "Requirement already satisfied: setproctitle in /usr/local/lib/python3.10/dist-packages (from pywry<0.6.0,>=0.5.8->openbb) (1.3.2)\n",
            "Requirement already satisfied: inflection>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from Quandl<4.0.0,>=3.6.0->openbb) (0.5.1)\n",
            "Requirement already satisfied: more-itertools in /usr/local/lib/python3.10/dist-packages (from Quandl<4.0.0,>=3.6.0->openbb) (9.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.25.1->openbb) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.25.1->openbb) (3.4)\n",
            "Requirement already satisfied: commonmark<0.10.0,>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from rich<13.0.0,>=12.6.0->openbb) (0.9.1)\n",
            "Requirement already satisfied: pyotp in /usr/local/lib/python3.10/dist-packages (from robin-stocks<3.0.0,>=2.0.3->openbb) (2.8.0)\n",
            "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /usr/local/lib/python3.10/dist-packages (from ruamel.yaml<0.18.0,>=0.17.21->openbb) (0.2.7)\n",
            "Requirement already satisfied: rdflib>=6.1.1 in /usr/local/lib/python3.10/dist-packages (from sparqlwrapper<3.0.0,>=2.0.0->openbb) (6.3.2)\n",
            "Requirement already satisfied: patsy>=0.5.2 in /usr/local/lib/python3.10/dist-packages (from statsmodels<0.14,>=0.13->openbb) (0.5.3)\n",
            "Requirement already satisfied: altair<6,>=4.0 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (4.2.2)\n",
            "Requirement already satisfied: blinker<2,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (1.6.2)\n",
            "Requirement already satisfied: cachetools<6,>=4.0 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (5.3.0)\n",
            "Requirement already satisfied: importlib-metadata<7,>=1.4 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (6.7.0)\n",
            "Requirement already satisfied: pyarrow>=4.0 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (9.0.0)\n",
            "Requirement already satisfied: pympler<2,>=0.9 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (1.0.1)\n",
            "Requirement already satisfied: toml<2 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (0.10.2)\n",
            "Requirement already satisfied: tzlocal<5,>=1.1 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (4.3)\n",
            "Requirement already satisfied: validators<1,>=0.2 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (0.20.0)\n",
            "Requirement already satisfied: pydeck<1,>=0.1.dev5 in /usr/local/lib/python3.10/dist-packages (from streamlit<2.0.0,>=1.22.0->openbb) (0.8.1b0)\n",
            "Requirement already satisfied: tinycss2>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from svglib<2.0.0,>=1.5.0->openbb) (1.2.1)\n",
            "Requirement already satisfied: cssselect2>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from svglib<2.0.0,>=1.5.0->openbb) (0.7.0)\n",
            "Requirement already satisfied: requests-futures>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from yahooquery<3.0.0,>=2.3.0->openbb) (1.0.0)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance<0.3.0,>=0.2.12->openbb) (0.0.11)\n",
            "Requirement already satisfied: appdirs>=1.4.4 in /usr/local/lib/python3.10/dist-packages (from yfinance<0.3.0,>=0.2.12->openbb) (1.4.4)\n",
            "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance<0.3.0,>=0.2.12->openbb) (2.3.7)\n",
            "Requirement already satisfied: pycares>=4.0.0 in /usr/local/lib/python3.10/dist-packages (from aiodns>=1.1.1->ccxt<3.0.0,>=2.5.67->openbb) (4.3.0)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->alpha-vantage<3.0.0,>=2.3.1->openbb) (23.1.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->alpha-vantage<3.0.0,>=2.3.1->openbb) (6.0.4)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->alpha-vantage<3.0.0,>=2.3.1->openbb) (4.0.2)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->alpha-vantage<3.0.0,>=2.3.1->openbb) (1.3.3)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->alpha-vantage<3.0.0,>=2.3.1->openbb) (1.3.1)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (4.17.3)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (0.12.0)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->bs4<0.0.2,>=0.0.1->openbb) (2.4.1)\n",
            "Requirement already satisfied: pymeeus<=1,>=0.3.13 in /usr/local/lib/python3.10/dist-packages (from convertdate>=2.3.0->holidays<0.15.0,>=0.14.2->openbb) (0.5.12)\n",
            "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.10/dist-packages (from cryptography>=2.6.1->ccxt<3.0.0,>=2.5.67->openbb) (1.15.1)\n",
            "Requirement already satisfied: pyluach in /usr/local/lib/python3.10/dist-packages (from exchange-calendars>=3.3->pandas-market-calendars<3.3,>=3.2->openbb) (2.2.0)\n",
            "Requirement already satisfied: pandas-datareader>=0.2 in /usr/local/lib/python3.10/dist-packages (from ffn>=0.3.5->bt<0.3.0,>=0.2.9->openbb) (0.10.0)\n",
            "Requirement already satisfied: scikit-learn>=0.15 in /usr/local/lib/python3.10/dist-packages (from ffn>=0.3.5->bt<0.3.0,>=0.2.9->openbb) (1.2.2)\n",
            "Requirement already satisfied: tabulate>=0.7.5 in /usr/local/lib/python3.10/dist-packages (from ffn>=0.3.5->bt<0.3.0,>=0.2.9->openbb) (0.8.10)\n",
            "Requirement already satisfied: astor>=0.8 in /usr/local/lib/python3.10/dist-packages (from formulaic>=0.3.2->linearmodels<5.0,>=4.25->openbb) (0.8.1)\n",
            "Requirement already satisfied: interface-meta>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from formulaic>=0.3.2->linearmodels<5.0,>=4.25->openbb) (1.3.0)\n",
            "Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from gitdb<5,>=4.0.1->GitPython<4.0.0,>=3.1.17->openbb) (5.0.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata<7,>=1.4->streamlit<2.0.0,>=1.22.0->openbb) (3.15.0)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.10/dist-packages (from ipykernel>=4.7->ipympl<0.9.0,>=0.8.2->openbb) (0.2.0)\n",
            "Requirement already satisfied: jupyter-client in /usr/local/lib/python3.10/dist-packages (from ipykernel>=4.7->ipympl<0.9.0,>=0.8.2->openbb) (6.1.12)\n",
            "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /usr/local/lib/python3.10/dist-packages (from jedi>=0.16->ipython==8.11.0->openbb) (0.8.3)\n",
            "Requirement already satisfied: anyio<4,>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (3.6.2)\n",
            "Requirement already satisfied: argon2-cffi in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (21.3.0)\n",
            "Requirement already satisfied: nbconvert>=6.4.4 in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (6.5.4)\n",
            "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.16.0)\n",
            "Requirement already satisfied: pyzmq>=17 in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (23.2.1)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (1.8.0)\n",
            "Requirement already satisfied: terminado>=0.8.3 in /usr/local/lib/python3.10/dist-packages (from jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.17.1)\n",
            "Requirement already satisfied: platformdirs>=2.5 in /usr/local/lib/python3.10/dist-packages (from jupyter-core->jupyterlab<4.0.0,>=3.2.4->openbb) (3.3.0)\n",
            "Requirement already satisfied: jupyter-server-fileid<1,>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.9.0)\n",
            "Requirement already satisfied: ypy-websocket<0.9.0,>=0.8.2 in /usr/local/lib/python3.10/dist-packages (from jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.8.2)\n",
            "Requirement already satisfied: babel>=2.10 in /usr/local/lib/python3.10/dist-packages (from jupyterlab-server~=2.19->jupyterlab<4.0.0,>=3.2.4->openbb) (2.12.1)\n",
            "Requirement already satisfied: json5>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from jupyterlab-server~=2.19->jupyterlab<4.0.0,>=3.2.4->openbb) (0.9.14)\n",
            "Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.10/dist-packages (from nbformat>=5.1.2->papermill==2.4->openbb) (2.16.3)\n",
            "Requirement already satisfied: nest-asyncio>=1.5 in /usr/local/lib/python3.10/dist-packages (from notebook<7->jupyterlab<4.0.0,>=3.2.4->openbb) (1.5.6)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.10/dist-packages (from pexpect>4.3->ipython==8.11.0->openbb) (0.7.0)\n",
            "Requirement already satisfied: isodate<0.7.0,>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from rdflib>=6.1.1->sparqlwrapper<3.0.0,>=2.0.0->openbb) (0.6.1)\n",
            "Requirement already satisfied: pytz-deprecation-shim in /usr/local/lib/python3.10/dist-packages (from tzlocal<5,>=1.1->streamlit<2.0.0,>=1.22.0->openbb) (0.1.0.post0)\n",
            "Requirement already satisfied: textwrap3>=0.9.2 in /usr/local/lib/python3.10/dist-packages (from ansiwrap->papermill==2.4->openbb) (0.9.2)\n",
            "Requirement already satisfied: regex!=2019.02.19,!=2021.8.27 in /usr/local/lib/python3.10/dist-packages (from dateparser->python-binance<2.0.0,>=1.0.15->openbb) (2022.10.31)\n",
            "Requirement already satisfied: zope.interface in /usr/local/lib/python3.10/dist-packages (from datetime->finvizfinance<0.15.0,>=0.14.0->openbb) (6.0)\n",
            "Requirement already satisfied: mccabe<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from flake8->pythclient<0.2.0,>=0.1.2->openbb) (0.7.0)\n",
            "Requirement already satisfied: pycodestyle<2.11.0,>=2.10.0 in /usr/local/lib/python3.10/dist-packages (from flake8->pythclient<0.2.0,>=0.1.2->openbb) (2.10.0)\n",
            "Requirement already satisfied: pyflakes<3.1.0,>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from flake8->pythclient<0.2.0,>=0.1.2->openbb) (3.0.1)\n",
            "Requirement already satisfied: notebook-shim>=0.2.3 in /usr/local/lib/python3.10/dist-packages (from nbclassic->jupyterlab<4.0.0,>=3.2.4->openbb) (0.2.3)\n",
            "Requirement already satisfied: executing>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from stack-data->ipython==8.11.0->openbb) (1.2.0)\n",
            "Requirement already satisfied: asttokens>=2.1.0 in /usr/local/lib/python3.10/dist-packages (from stack-data->ipython==8.11.0->openbb) (2.2.1)\n",
            "Requirement already satisfied: pure-eval in /usr/local/lib/python3.10/dist-packages (from stack-data->ipython==8.11.0->openbb) (0.2.2)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.1.0->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (1.3.0)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.12->cryptography>=2.6.1->ccxt<3.0.0,>=2.5.67->openbb) (2.21)\n",
            "Requirement already satisfied: jupyter-events>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from jupyter-server-fileid<1,>=0.6.0->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.6.3)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.10/dist-packages (from nbconvert>=6.4.4->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (6.0.0)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.10/dist-packages (from nbconvert>=6.4.4->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.7.1)\n",
            "Requirement already satisfied: jupyterlab-pygments in /usr/local/lib/python3.10/dist-packages (from nbconvert>=6.4.4->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.2.2)\n",
            "Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.10/dist-packages (from nbconvert>=6.4.4->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.8.4)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from nbconvert>=6.4.4->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (1.5.0)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.15->ffn>=0.3.5->bt<0.3.0,>=0.2.9->openbb) (1.2.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.15->ffn>=0.3.5->bt<0.3.0,>=0.2.9->openbb) (3.1.0)\n",
            "Requirement already satisfied: aiofiles<23,>=22.1.0 in /usr/local/lib/python3.10/dist-packages (from ypy-websocket<0.9.0,>=0.8.2->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (22.1.0)\n",
            "Requirement already satisfied: aiosqlite<1,>=0.17.0 in /usr/local/lib/python3.10/dist-packages (from ypy-websocket<0.9.0,>=0.8.2->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.19.0)\n",
            "Requirement already satisfied: argon2-cffi-bindings in /usr/local/lib/python3.10/dist-packages (from argon2-cffi->jupyter-server<3,>=1.16.0->jupyterlab<4.0.0,>=3.2.4->openbb) (21.2.0)\n",
            "Requirement already satisfied: tzdata in /usr/local/lib/python3.10/dist-packages (from pytz-deprecation-shim->tzlocal<5,>=1.1->streamlit<2.0.0,>=1.22.0->openbb) (2023.3)\n",
            "Requirement already satisfied: python-json-logger>=2.0.4 in /usr/local/lib/python3.10/dist-packages (from jupyter-events>=0.5.0->jupyter-server-fileid<1,>=0.6.0->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (2.0.7)\n",
            "Requirement already satisfied: rfc3339-validator in /usr/local/lib/python3.10/dist-packages (from jupyter-events>=0.5.0->jupyter-server-fileid<1,>=0.6.0->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.1.4)\n",
            "Requirement already satisfied: rfc3986-validator>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from jupyter-events>=0.5.0->jupyter-server-fileid<1,>=0.6.0->jupyter-server-ydoc~=0.8.0->jupyterlab<4.0.0,>=3.2.4->openbb) (0.1.1)\n",
            "Requirement already satisfied: fqdn in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (1.5.1)\n",
            "Requirement already satisfied: isoduration in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (20.11.0)\n",
            "Requirement already satisfied: jsonpointer>1.13 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (2.4)\n",
            "Requirement already satisfied: uri-template in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (1.2.0)\n",
            "Requirement already satisfied: webcolors>=1.11 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (1.13)\n",
            "Requirement already satisfied: arrow>=0.15.0 in /usr/local/lib/python3.10/dist-packages (from isoduration->jsonschema>=3.0->altair<6,>=4.0->streamlit<2.0.0,>=1.22.0->openbb) (1.2.3)\n"
          ]
        }
      ],
      "source": [
        "!pip install openbb"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import math\n",
        "import numpy as np\n",
        "\n",
        "import keras\n",
        "from keras.layers import Dense, Dropout\n",
        "from keras.models import Sequential\n",
        "\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "import pylab as pl"
      ],
      "metadata": {
        "id": "ec98M9V1Kusp"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from openbb_terminal.sdk import openbb"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "WhCz0L1hG4-6",
        "outputId": "ae25c17a-6bc2-4196-f23b-29cef61fa5fe"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[91mlibwebkit2gtk-4.0.so.37: cannot open shared object file: No such file or directory\u001b[0m\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[33mForecasting Toolkit is disabled. To use the Forecasting features please install the toolkit following the instructions here: https://my.openbb.co/app/sdk/installation\u001b[0m\n",
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Forecasting Toolkit is disabled. To use the Forecasting features please install the toolkit following the instructions here: https://my.openbb.co/app/sdk/installation</span>\n",
              "\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[33mPortfolio Optimization Toolkit is disabled. To use the Optimization features please install the toolkit following the instructions here: https://my.openbb.co/app/sdk/installation\u001b[0m\n",
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">Portfolio Optimization Toolkit is disabled. To use the Optimization features please install the toolkit following the instructions here: https://my.openbb.co/app/sdk/installation</span>\n",
              "\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "\u001b[31mPyWry is not installed or missing required linux dependencies.\u001b[0m\n",
              "\n",
              "\u001b[33mInstall PyWry\u001b[0m\n",
              "\u001b[32mpip install pywry --upgrade\u001b[0m\n",
              "\n",
              "\u001b[33mPlatform-specific notes\u001b[0m\n",
              "Here is the underlying web engine each platform uses you might need to install.\n",
              "\n",
              "\u001b[32mLinux\u001b[0m\n",
              "Pywry uses gtk-rs and its related libraries for window creation and Wry also needs WebKitGTK for WebView.\n",
              "To activate interactive plots/tables in pywry window, please make sure the following packages are installed:\n",
              "\n",
              "\u001b[33mArch Linux \u001b[0m\u001b[33m/\u001b[0m\u001b[33m Manjaro:\u001b[0m\n",
              "\u001b[32msudo pacman -S webkit2gtk\u001b[0m\n",
              "\n",
              "\u001b[33mDebian \u001b[0m\u001b[33m/\u001b[0m\u001b[33m Ubuntu:\u001b[0m\n",
              "\u001b[32msudo apt install libwebkit2gtk-\u001b[0m\u001b[1;32m4.0\u001b[0m\u001b[32m-dev\u001b[0m\n",
              "\n",
              "\u001b[33mFedora \u001b[0m\u001b[33m/\u001b[0m\u001b[33m CentOS \u001b[0m\u001b[33m/\u001b[0m\u001b[33m AlmaLinux:\u001b[0m\n",
              "\u001b[32msudo dnf install gtk3-devel webkit2gtk3-devel\u001b[0m\n",
              "\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
              "<span style=\"color: #800000; text-decoration-color: #800000\">PyWry is not installed or missing required linux dependencies.</span>\n",
              "\n",
              "<span style=\"color: #808000; text-decoration-color: #808000\">Install PyWry</span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">pip install pywry --upgrade</span>\n",
              "\n",
              "<span style=\"color: #808000; text-decoration-color: #808000\">Platform-specific notes</span>\n",
              "Here is the underlying web engine each platform uses you might need to install.\n",
              "\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">Linux</span>\n",
              "Pywry uses gtk-rs and its related libraries for window creation and Wry also needs WebKitGTK for WebView.\n",
              "To activate interactive plots/tables in pywry window, please make sure the following packages are installed:\n",
              "\n",
              "<span style=\"color: #808000; text-decoration-color: #808000\">Arch Linux / Manjaro:</span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">sudo pacman -S webkit2gtk</span>\n",
              "\n",
              "<span style=\"color: #808000; text-decoration-color: #808000\">Debian / Ubuntu:</span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">sudo apt install libwebkit2gtk-</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">4.0</span><span style=\"color: #008000; text-decoration-color: #008000\">-dev</span>\n",
              "\n",
              "<span style=\"color: #808000; text-decoration-color: #808000\">Fedora / CentOS / AlmaLinux:</span>\n",
              "<span style=\"color: #008000; text-decoration-color: #008000\">sudo dnf install gtk3-devel webkit2gtk3-devel</span>\n",
              "\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "If you prefer to continue without interactive plots/tables, press \u001b[32menter\u001b[0m or \u001b[31mctrl+c\u001b[0m to exit."
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">If you prefer to continue without interactive plots/tables, press <span style=\"color: #008000; text-decoration-color: #008000\">enter</span> or <span style=\"color: #800000; text-decoration-color: #800000\">ctrl+c</span> to exit.</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "openbb.stocks.candle('AAPL')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "t_rmXoNDG88p",
        "outputId": "ff34ef15-04ef-4d74-d54c-4d50c1061966"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading Daily data for AAPL with starting period 2020-06-15.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2020-06-15.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script>                <div id=\"89e747c4-7927-4e83-a387-c64c1eb130de\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"89e747c4-7927-4e83-a387-c64c1eb130de\")) {                    Plotly.newPlot(                        \"89e747c4-7927-4e83-a387-c64c1eb130de\",                        [{\"close\":[84.18704223632812,86.41817474365234,86.29791259765625,86.33229064941406,85.83892822265625,88.08479309082031,89.96495056152344,88.37687683105469,89.55014038085938,86.79863739013672,88.79906463623047,89.5403060913086,89.3709487915039,89.3709487915039,91.76164245605469,91.4769287109375,93.60743713378906,94.00997924804688,94.17442321777344,93.7399673461914,95.29122924804688,95.94657135009766,94.76594543457031,94.57450866699219,96.56756591796875,95.23475646972656,95.5022964477539,91.15538787841797,90.92955780029297,93.0846176147461,91.55545043945312,93.31044006347656,94.43950653076172,104.3262710571289,106.95501708984375,107.66929626464844,108.0595474243164,111.82967376708984,109.28713989257812,110.87560272216797,107.57817840576172,111.15345764160156,113.12059783935547,113.01978302001953,112.7247085571289,113.66403198242188,113.80664825439453,116.33197784423828,122.32684326171875,123.7898941040039,122.77434539794922,124.44396209716797,122.9563217163086,122.75716400146484,126.92012023925781,131.97567749023438,129.2413330078125,118.8941879272461,118.97286987304688,110.9665756225586,115.39265441894531,111.62557220458984,110.16004943847656,113.46485137939453,113.64189910888672,110.28791046142578,108.5273208618164,105.0848159790039,108.27159118652344,109.97317504882812,105.36022186279297,106.44215393066406,110.43545532226562,113.07141876220703,112.2157211303711,113.90745544433594,114.8713607788086,111.16327667236328,114.58612823486328,111.30101776123047,113.189453125,113.08125305175781,115.04841613769531,122.3563461303711,119.11055755615234,119.1990737915039,118.72696685791016,117.06473541259766,114.07466888427734,115.57953643798828,114.95005798339844,113.84844970703125,113.15010833740234,113.15995788574219,114.68447875976562,109.3731918334961,113.42550659179688,107.07164764404297,106.98311614990234,108.62568664550781,113.06159210205078,117.07456970214844,116.9415512084961,114.6064682006836,114.26163482666016,117.72976684570312,117.45389556884766,117.50315856933594,118.52783203125,117.63123321533203,116.291259765625,116.89228820800781,115.6114273071289,112.1728515625,113.4734115600586,114.32073974609375,114.87248229980469,117.29625701904297,120.91219329833984,121.26689147949219,121.12896728515625,120.44911193847656,121.92701721191406,122.5477294921875,119.98604583740234,121.42451477050781,120.60676574707031,119.98604583740234,125.99617767333984,125.92720794677734,126.80409240722656,124.79415130615234,126.34101104736328,129.93722534179688,129.0308074951172,130.0259246826172,134.6763916015625,132.88319396972656,131.75010681152344,130.7353057861328,127.50363159179688,129.08006286621094,124.73502349853516,128.9913787841797,130.10475158691406,127.0799560546875,126.90264129638672,128.96182250976562,127.01101684570312,125.26707458496094,125.94690704345703,130.08506774902344,134.85374450683594,137.02134704589844,140.81460571289062,141.05105590820312,139.96728515625,135.0705108642578,130.01608276367188,132.16395568847656,133.00146484375,131.96693420410156,135.36607360839844,134.94668579101562,135.09475708007812,134.2066650390625,133.59487915039062,133.3383331298828,133.57513427734375,131.42404174804688,129.10520935058594,127.9902114868164,128.1480255126953,124.32938385009766,124.19123840332031,123.68799591064453,119.38581085205078,119.6522216796875,126.09564971923828,123.46105194091797,120.44161987304688,118.5372085571289,119.81011199951172,114.81720733642578,119.48448944091797,118.38920593261719,120.34295654296875,119.4252700805664,122.34603118896484,123.90508270263672,123.10582733154297,118.9319076538086,118.3990707397461,121.75399017333984,120.91525268554688,118.49774169921875,118.99110412597656,119.6028823852539,119.78050231933594,118.31026458740234,120.5304183959961,121.3691635131836,124.230712890625,124.53659057617188,126.2042007446289,128.631591796875,131.236572265625,129.4999237060547,132.64759826660156,130.2794189453125,132.7166748046875,132.38119506835938,133.0521697998047,131.3450927734375,131.7299346923828,130.1905975341797,132.53907775878906,132.93377685546875,132.60813903808594,131.80886840820312,131.710205078125,129.7169952392578,130.7826690673828,126.15486145019531,126.40154266357422,128.01980590820312,128.7018280029297,125.38072204589844,124.45161437988281,121.34796905517578,123.52249908447266,125.97377014160156,124.80742645263672,123.40387725830078,123.24574279785156,125.83538055419922,123.97715759277344,125.62782287597656,125.43014526367188,125.38072204589844,123.82889556884766,123.16666412353516,122.84048461914062,123.6114501953125,122.10905456542969,124.43184661865234,124.44173431396484,125.27198791503906,125.657470703125,124.6492919921875,125.87493133544922,128.9686737060547,128.13836669921875,128.64251708984375,130.2634735107422,128.94891357421875,130.767578125,132.4281463623047,132.1513671875,131.86473083496094,131.56820678710938,133.2188720703125,134.7509002685547,135.37362670898438,135.68003845214844,138.33888244628906,140.37501525878906,142.89547729492188,141.5808868408203,143.42921447753906,142.82627868652344,143.9530792236328,147.4224090576172,146.76016235351562,144.69439697265625,140.80003356933594,144.45718383789062,143.71583557128906,145.09963989257812,146.83926391601562,147.26426696777344,145.0699920654297,143.30072021484375,143.9530792236328,144.17051696777344,143.83447265625,145.65313720703125,145.24789428710938,145.3566131591797,144.6636962890625,144.61419677734375,144.12916564941406,144.38650512695312,147.38592529296875,147.59381103515625,149.59339904785156,148.67279052734375,144.8814697265625,145.21803283691406,146.69300842285156,148.19764709472656,148.10853576660156,146.8612823486328,146.04954528808594,147.09886169433594,151.5731964111328,150.2962188720703,150.9693603515625,152.0978240966797,152.7412872314453,155.1071319580078,153.5430908203125,152.51361083984375,147.46510314941406,148.03927612304688,146.62367248535156,147.52450561523438,147.2869110107422,144.58450317382812,141.4960479736328,141.9810791015625,144.37661743164062,145.34674072265625,145.43582153320312,143.90145874023438,140.47640991210938,141.3871612548828,140.07057189941406,141.20895385742188,137.7344207763672,139.6845245361328,140.5655059814453,141.8424835205078,141.4564208984375,141.36734008789062,140.08045959472656,139.48654174804688,142.30772399902344,143.3768310546875,145.06956481933594,147.25723266601562,147.752197265625,147.96994018554688,147.1879425048828,147.1384735107422,147.8115692138672,147.34634399414062,151.0287322998047,148.28672790527344,147.45521545410156,148.5045166015625,149.9596710205078,149.43502807617188,149.97035217285156,149.13763427734375,149.50440979003906,146.63941955566406,146.58985900878906,148.69151306152344,148.701416015625,149.69276428222656,152.1612091064453,156.50326538085938,159.1600799560547,159.6260223388672,160.0126495361328,160.53805541992188,155.4524688720703,158.85276794433594,163.8689727783203,163.34356689453125,162.34230041503906,160.4389190673828,163.8887939453125,169.6980438232422,173.56430053710938,173.04879760742188,177.896484375,174.21856689453125,172.82080078125,177.7477569580078,170.76869201660156,169.6584014892578,168.28042602539062,171.49240112304688,174.1194305419922,174.75390625,178.7688446044922,177.7378387451172,177.8270721435547,176.65728759765625,176.03274536132812,180.43429565429688,178.14430236816406,173.40565490722656,170.51095581054688,170.67950439453125,170.69932556152344,173.56430053710938,174.0103759765625,170.69932556152344,171.57171630859375,168.3300018310547,164.79090881347656,163.08580017089844,161.0039825439453,160.2208251953125,158.3967742919922,158.30752563476562,157.8415985107422,168.8554229736328,173.2668914794922,173.09835815429688,174.3177032470703,171.40318298339844,171.1153106689453,170.39071655273438,173.5372772216797,174.9765625,170.8472900390625,167.39305114746094,167.6312713623047,171.51235961914062,171.27413940429688,167.6312713623047,166.06295776367188,163.10499572753906,158.8863983154297,161.5366973876953,163.6310577392578,163.89906311035156,161.99325561523438,165.3284149169922,165.00086975097656,161.96348571777344,158.1221160888672,156.27584838867188,161.7451171875,157.34786987304688,153.5858917236328,149.50628662109375,153.9432373046875,158.40994262695312,159.43234252929688,162.76751708984375,164.15716552734375,167.5717315673828,168.95144653320312,172.7829132080078,173.42808532714844,174.3015899658203,177.63673400878906,176.45553588867188,173.31890869140625,173.0211181640625,177.12059020996094,173.76559448242188,170.55946350097656,170.86717224121094,168.83230590820312,164.5244140625,166.4202880859375,169.1400146484375,164.06781005859375,163.8494415283203,166.16221618652344,165.9934539794922,165.189453125,160.5937042236328,161.67564392089844,155.64060974121094,155.4123077392578,162.4300079345703,156.4842987060547,156.79202270507812,158.30075073242188,164.79241943359375,155.61080932617188,156.34642028808594,151.15740966796875,153.59286499023438,145.63040161132812,141.7137908935547,146.23678588867188,144.6761016845703,148.35414123535156,139.984130859375,136.5347137451172,136.7732696533203,142.26052856445312,139.52687072753906,139.6859130859375,142.9265594482422,148.75177001953125,147.9564971923828,147.82728576660156,150.3124542236328,144.51705932617188,145.2725372314453,147.82728576660156,147.08175659179688,141.79331970214844,136.31602478027344,131.09719848632812,131.97195434570312,134.6260986328125,129.28799438476562,130.7790985107422,135.06350708007812,134.54660034179688,137.4492645263672,140.8191375732422,140.8191375732422,136.6241912841797,138.403564453125,135.90846252441406,138.10533142089844,140.7197265625,142.07167053222656,145.48129272460938,146.1671905517578,144.01007080078125,144.99420166015625,144.62640380859375,147.58871459960938,149.2786102294922,146.197021484375,150.10369873046875,152.13157653808594,154.42788696289062,153.17535400390625,152.0421142578125,150.70013427734375,155.8593292236328,156.41600036621094,161.54537963867188,160.5513153076172,159.06019592285156,165.14390563964844,164.82577514648438,164.5968475341797,164.1190185546875,164.16879272460938,168.46913146972656,167.7225341796875,171.3160858154297,172.401123046875,172.2418670654297,173.7549285888672,173.3567352294922,170.7387237548828,166.8067169189453,166.46826171875,166.76690673828125,169.25550842285156,162.87472534179688,160.64491271972656,158.18617248535156,156.5038604736328,157.24049377441406,155.10028076171875,153.8261260986328,155.24961853027344,153.75643920898438,156.65318298339844,162.68557739257812,153.13925170898438,154.60255432128906,151.67596435546875,150.01356506347656,153.77633666992188,156.18531799316406,153.01980590820312,152.04428100585938,149.7447967529297,150.083251953125,151.06874084472656,149.157470703125,141.83099365234375,137.5704803466797,141.8011474609375,145.4345245361328,145.73313903808594,144.76756286621094,139.45188903808594,139.7803955078125,138.34693908691406,137.70985412597656,142.33868408203125,137.7496795654297,141.76133728027344,143.09523010253906,143.20472717285156,142.7368621826172,146.59918212890625,148.7692413330078,151.64608764648438,148.66970825195312,144.14044189453125,155.03062438964844,152.64154052734375,149.9637908935547,144.369384765625,138.24740600585938,137.97817993164062,138.51661682128906,139.09494018554688,134.47837829589844,146.4435272216797,149.2653045654297,147.8494415283203,149.6043243408203,148.3579559326172,150.28236389160156,150.8507080078125,147.58021545410156,149.74391174316406,150.63134765625,147.679931640625,143.80123901367188,140.7600860595703,147.60015869140625,147.8793487548828,147.38079833984375,146.20423889160156,142.4950408935547,140.53076171875,142.2357940673828,141.74722290039062,144.07044982910156,145.047607421875,142.79417419433594,136.1036376953125,134.11941528320312,131.9856414794922,131.9158477783203,135.0566864013672,131.84603881835938,131.4771270751953,129.65243530273438,125.67402648925781,129.23365783691406,129.55271911621094,124.70683288574219,125.99309539794922,124.65697479248047,129.24362182617188,129.77207946777344,130.35040283203125,133.10238647460938,133.0226287841797,134.3686981201172,135.54527282714844,134.81739807128906,134.87722778320312,137.46966552734375,140.7002716064453,142.1161346435547,141.44808959960938,143.5419921875,145.50625610351562,142.58477783203125,143.8710174560547,145.00770568847656,150.382080078125,154.05137634277344,151.2894287109375,154.20094299316406,151.4788818359375,150.4319305419922,150.80140686035156,153.6374969482422,152.98838806152344,155.11544799804688,153.49769592285156,152.33929443359375,148.27490234375,148.70431518554688,149.19363403320312,146.50735473632812,147.71568298339844,147.20639038085938,145.10928344726562,145.70846557617188,150.82138061523438,153.61752319335938,151.39060974121094,152.65884399414062,150.38198852539062,148.2948760986328,150.2621612548828,152.3792266845703,152.7786865234375,155.63473510742188,154.78590393066406,157.18258666992188,159.0599822998047,157.61199951171875,158.71046447753906,160.02865600585938,158.06137084960938,157.43223571777344,160.54794311523438,162.1357421875,164.67222595214844,165.9404754638672,165.40122985839844,163.53379821777344,164.43255615234375,161.80618286132812,160.57789611816406,159.8788604736328,165.33131408691406,164.9818115234375,165.00177001953125,166.2400665283203,167.39846801757812,166.4197998046875,164.7920684814453,165.1016387939453,163.54379272460938,163.53379821777344,168.17738342285156,169.44561767578125,169.35574340820312,168.30718994140625,167.2187042236328,165.5609893798828,173.33026123046875,173.26034545898438,171.53274536132812,173.3202667236328,173.510009765625,172.57000732421875,172.07000732421875,172.07000732421875,172.69000244140625,175.0500030517578,175.16000366210938,174.1999969482422,171.55999755859375,171.83999633789062,172.99000549316406,175.42999267578125,177.3000030517578,177.25,180.08999633789062,180.9499969482422,179.5800018310547,179.2100067138672,177.82000732421875,180.57000732421875,180.9600067138672,183.7899932861328,183.30999755859375,183.9499969482422,186.00999450683594,184.9199981689453],\"decreasing\":{\"line\":{\"width\":0.8}},\"high\":[84.84730450519417,86.69308548755707,87.23307810217426,86.75446572877874,87.51780833429416,88.22960794314717,91.40083715099819,90.51966167498037,89.58941335133183,89.66795353693168,88.89479390841946,89.82994326637397,90.16866265615374,90.93201735710589,92.23535997636097,92.93244808013257,93.63934689085114,94.5646921714504,94.23333641707227,98.13598510523832,95.48512970698688,97.44136356621111,95.63238505972492,95.37958581252659,96.70747446810458,97.44381009917899,96.19201148125285,95.31086213349153,91.27810068220367,93.1778899755709,92.82933853592371,93.49698479464203,94.54504841422659,104.47844915177754,109.6058785447309,108.77382329958671,108.38354377650688,112.33039477276459,111.80754298208714,111.90589489205826,110.63462633640745,111.41410358333714,114.13613695061862,113.11076221506504,114.18039819122231,114.09434470490805,115.23774724452433,116.44754785245689,122.81616789409966,126.6693061395205,123.12351668436767,124.90624204356511,125.39066059664695,124.36529880426339,128.84792790150843,132.58550230680146,135.71323747768105,126.7234206254065,121.66785508936641,117.03521212545984,117.18275496764744,118.52041328610446,113.33698988031809,114.02548704442006,116.87785158550001,114.09433627838085,110.3567652132975,109.05844727173199,108.37978469048551,111.005928576546,110.26824341377633,108.43880371912886,110.5928304333307,113.42550522786368,113.41568012025202,115.33363915302371,115.78608292747539,113.47467630451746,114.73366552310179,114.21239015441138,113.65173310669108,114.4877610508597,115.07792209655784,123.12353101341198,123.33008197731955,121.00884237668372,119.20891500283145,119.55317886058266,118.44172288814211,117.02538833623926,116.75982679283705,116.10083030366599,114.63530395583463,114.63531583729522,115.35330793280266,113.53370425535856,115.00905788667626,110.1502252773865,108.86174214913567,109.6584326723776,113.69107754667046,117.65488106315709,117.44403286247237,120.19294057475531,115.85776562387193,117.86770387638784,118.75445011542503,117.90711486635043,119.20766234800713,118.89237598853374,118.05489158466395,117.30609929418246,117.02036186900614,115.88731915417834,114.14339467820527,115.03013449775138,115.759225696311,119.18797136534828,121.65114492865041,121.5526203471313,121.95658959613267,121.05012651351765,122.73493734851687,123.13889678026422,124.09461535995366,122.0452388740827,120.95160834748944,121.53291771485478,126.01588725983771,126.47895609134947,127.67113376794892,127.1982096122972,126.41983435359317,132.42995365032314,130.47913878672037,131.49398060622693,135.31681029333242,136.7454457373812,133.98667054641098,132.7551096214098,131.6417573040376,129.79931993024618,129.11947399024325,129.69092618907322,130.67620931054432,128.25242824392782,127.77953004345586,129.51357058902323,129.0702252278165,128.3017042919354,126.81394836072037,130.53829811402898,137.61250033083385,137.78985555100155,142.95263706240493,142.1742615070528,142.17429270940687,139.8983375293855,134.72566661695916,133.38569440770792,134.30201207791666,133.76997830467062,135.37592088370263,135.59793842620888,135.14409715713455,136.05188131936788,135.17367095925889,134.58162152789635,133.73301646262877,134.2066436561686,130.46691696513088,128.276359818485,128.97689924465422,128.00006210161854,125.02996685262995,123.89521063914614,124.78328620229132,123.1946184311569,126.2337928749746,127.01331847579726,124.04322650182725,121.96120146311623,120.32322162777149,119.39568593016652,120.44162961861996,120.55016392175227,121.5763830500854,119.56341322762508,122.35590070821874,125.53320706371314,124.19124108516125,121.54677316405714,119.81998043189425,122.2276292388423,122.59270950801793,121.27048946417673,120.04692431669055,119.86930668594346,120.95472664514173,118.80363515905269,121.88224878987536,122.53351839110624,124.48726769877054,125.44439056133854,126.22393225616655,128.66119283028135,131.2760352865702,131.08857767954214,132.8745595592719,133.2100410529963,133.2100453429949,132.8844276298557,133.6738215271796,133.73300414413995,131.97661996334233,132.37128650460645,133.3284586292236,133.2692652529101,133.61461920027247,133.22977789843404,135.25261726546654,131.7891425730153,132.29239692121982,129.74660635943013,128.7203752464445,128.02966789965612,129.73965414046148,128.03955922277518,124.80743763730847,123.19631182319804,124.68883168583304,126.40867612624402,125.45978537167616,125.51908931469302,123.47307453035518,126.24063519122332,126.51738924710959,126.4580972338374,126.83370343088515,125.9144682462035,126.16156057498698,124.34288296864361,123.89809068886674,123.78936558946523,123.40387860766262,124.69872349831023,124.85686775255739,126.97207416653795,126.27029205644563,126.70520154994337,125.96389280649501,129.02797632569607,129.08725356218065,129.37395138692602,131.01468010468633,129.98673956074094,130.8763046032777,132.52699412567097,132.7641960635355,133.08047966254423,132.33917095372095,133.6834293715503,134.9090506186311,135.8184114337602,135.73934107328685,138.3784124994726,141.4919164413172,143.21176294618851,142.39138111179065,143.96295310704363,144.6252051453496,145.75200575225702,147.8375575248449,148.26256052312326,148.0253581948388,142.4012797624338,145.396192348124,144.4373908895861,146.48341786266488,146.99741429535135,148.0945336997305,147.48173237005847,145.26767585566074,144.8525424879449,144.63507420540344,145.2479019881939,146.32525356218267,146.07816105690364,146.12757727388882,145.62389857849644,145.2180351681371,146.2178511902204,145.23781790644105,147.5443126117069,147.9303727601265,149.66269916647587,150.1477289546831,149.19742554647362,146.50490325126628,146.99987443084584,148.6727939402729,149.33601473952376,148.80148926576854,147.6135859515036,147.24734036545107,151.93946898937534,151.25642116420488,153.4144099731492,153.15702222389098,153.0679554327876,155.67136600695858,155.45358685237971,154.53299636179307,153.9093335554434,149.89038088969983,149.5438833814519,147.9303674420381,147.46510049818508,147.31663139091725,143.37684846988833,143.13927318589572,144.9507449321911,145.59421524916667,145.98026848851947,144.48551000450948,143.2877162288954,142.99079150013642,142.92148307262008,141.47623056602734,140.77341518800532,140.80311424697146,140.71398462900484,142.76309655222045,142.72348915461157,143.3471362156777,141.80288754074698,139.97158213912638,142.42652202430216,143.43622252140722,145.35662861287923,147.66309450316692,148.23725281266846,148.12832748142924,148.66288092272598,147.86109499527203,149.31620322323238,148.21744408507686,151.62266198664005,148.42531302527863,148.1877303206811,150.0388616713986,150.4348178868551,150.89016442832224,150.88238582243136,150.25785663981108,150.11903750417193,148.83029371566417,148.13635139885835,149.09795211609202,150.56514527022838,150.17852770464512,153.65813126216494,157.29634255693588,159.6260122540593,164.265499395059,160.39927263407756,160.7363209545438,159.06095621741474,159.79454053291326,164.08706941099436,168.82569168733693,162.77849369131044,163.5319189656008,166.4266290154384,170.0945899972443,174.43668704817406,175.21984077047796,178.0749339668877,180.5532459734208,176.20128352869958,177.94602248139563,179.57182023729095,171.96823196450373,169.10324229479704,171.700574645812,174.33752714527438,175.31897890253077,178.85806182392312,179.76018646877029,179.06625061455907,179.00678036852273,177.6783628859752,181.2967741672302,181.35625856210308,178.6102038312647,173.78238996480817,172.63245110756014,171.00663942079166,173.66342574183622,175.64608531560992,175.090967069605,172.2755612693442,171.04627128264488,169.59892742679136,168.21104068161702,164.89004437840123,160.89494619338095,161.35097202795603,162.96683351874023,162.42159731000032,168.87525406534513,173.48498810324293,173.32636275128647,174.3573654274973,174.7142797970577,172.81267322550516,172.66377718771585,174.0534364886327,175.34382182718159,174.18244583207377,171.80022357665385,168.32609238901532,171.67118019152548,172.0582913476439,170.63886570689402,169.27899094736088,165.45746667589071,164.92142751560203,161.64588464778527,163.8990503765002,164.19684787638462,165.36812425790367,166.1225025635734,167.6610613620527,164.32589235607293,163.7998228040053,161.675625977494,162.20172253413966,159.20403780410948,158.1022511584253,152.98040705753849,154.41969901673872,158.81691460566083,159.80953758894788,163.26382005767735,165.11999444406507,168.1672860065099,171.36347145209342,172.85238774387005,173.9839421477543,174.4306184245835,177.68635218016894,178.28192691096191,176.71361889297685,173.5869107518622,177.1702235316291,176.98164319999097,172.34615704422512,172.0781526028439,170.50981202447286,167.7801599285002,168.61393836977487,169.77528172600495,170.00360379387914,165.36812714292998,166.57912397938514,167.6312625412281,170.26166929841602,166.62875000059083,161.9634929500165,161.13963981923527,158.60848469409962,163.30350586069372,164.97108134663927,157.06001537260468,159.52166663260488,165.24900962062145,162.86675501261934,158.4936026571159,154.90503619310257,155.80963923479422,154.5272729423361,145.33218399955408,147.2209149127476,146.64435978549926,148.88099402859922,146.48530418965078,140.81912770037576,139.8648094703358,142.4096321274767,141.1273149143084,140.94836376619722,143.48323301222018,148.79152591451535,149.7657011374338,150.83929891432072,150.37209564866572,147.0916819829755,147.68812105258894,148.1155576948117,148.9804078264753,147.07179828224545,139.92446741077853,134.39748391747762,133.09525171671402,136.5247647725926,131.60416591563296,132.29008051267164,136.24644598451806,136.94228362149997,137.76735719063672,141.06765362211425,142.63827687117166,142.56869117973363,139.83501943285395,137.5486624340371,138.21467908914858,140.76943280643897,143.2645446803833,145.68010251864976,146.67417299190458,145.76956862079976,147.5688242416985,145.58069693247057,148.06586117372092,149.96451691367687,150.6703101490676,150.33232925626888,152.80754807286752,154.64658231086378,155.35235710082523,154.11970476676498,152.1812801833599,156.3961324202052,156.70427229624255,162.65874193946732,162.61897081610616,161.4459589349122,165.6011667196445,166.19758853448667,165.0945700665609,167.0456293966968,165.06470236627078,168.568666864546,170.21114668950327,171.38575906506534,172.6002090102496,172.9187776421852,175.34763148263838,174.10331895604344,172.94861278074262,169.08627916236733,167.94153124283767,167.3442666855881,169.36500797802148,170.27089046674857,162.15797812466056,161.81954074898485,159.8485562033803,157.6983899535369,159.62955848363723,156.37446305826003,155.95637601819058,155.64777860652444,157.101145408258,163.51179860761485,159.80873002106605,156.38440930584954,154.53290210854573,150.66061345552103,153.8559740912497,157.35995101843312,158.0169440381166,153.7663966735104,150.78006814668885,153.06958705361166,154.01526498377237,149.95382971721554,146.0516857510214,142.44816940659013,142.41833373425914,145.55397307881432,146.70868605505095,146.86795247901796,142.4481882658129,141.24370098214837,140.7061540185606,139.72065722745282,142.9359419603361,143.86171106284334,142.24909564761458,146.03179004765562,144.2897586445934,145.2254747565447,147.1765420229725,149.5456871610854,151.79541351004758,151.29768229282683,148.37108322837702,156.7826022867412,153.53745018712314,154.74193017736275,151.47686134141347,142.14954857031054,142.25571602539085,138.7459447113119,141.01932882924822,138.14770073286493,146.44352722167972,149.57440196650734,149.8436341739297,153.1440193003719,149.434821792478,151.040151644434,152.25661758651498,149.93336329190794,149.9832203271232,151.389135378669,148.44770004148523,146.21421039184156,144.3895160658704,148.28815754764392,148.69697501795247,147.57024906688181,150.4817754282088,146.87229319584745,142.95369854139187,143.10327827326148,145.1473251565289,144.08041531488556,149.5345410021405,146.2341535400636,141.38825084652493,137.25029699703637,134.8074260291495,132.8630862509087,136.4127379338608,134.16927501128094,132.03549860433398,131.0284331145162,130.64953520996153,130.1011267881133,129.57266530290642,130.51989848424932,128.28642004590714,127.39898958918565,129.91167454360263,133.0226231958576,130.878862685467,133.12231744556988,133.87015155986583,134.52823718696538,136.89134369721103,138.20751942193962,135.85437794802175,137.61923910485748,142.9038613133989,142.74431018216896,142.01642661071241,143.83114342444904,146.8024843395074,145.12737656354096,143.92087531361267,146.18428721844822,150.7410201612484,156.9230185179914,152.65546109046608,154.77926069646938,154.1311618864397,153.8818908157431,151.13095286525052,154.04691904486245,153.5576080579504,155.28521135235033,156.11407219148342,152.78866982671798,151.09101443048843,149.7428719353195,150.13233808917954,146.9866874410402,148.96395641508383,148.87408182842614,147.02662955693967,146.50736362429902,150.90127193953379,156.08411270966002,153.81724600797997,153.25802134141475,154.32652939922835,150.73150815067794,152.9284714307154,153.18810540897627,153.03832191026984,156.24389314200272,156.52350601520416,157.6020199581519,159.17981166546377,161.91604389630754,161.3268558628674,160.1185280370487,160.5479369647719,158.27108702645774,160.82755515041666,162.2455908604082,164.77209392233803,166.06030483751377,166.60955002315166,164.8220249163622,164.732144805064,161.80618286132812,162.1357389114122,161.83614459873985,165.57098806709064,166.0902789530472,165.16155267486212,167.17877060262967,167.92773474263433,167.63811583437186,166.22008596329093,165.37127012141738,166.08027757941898,165.05170295837482,168.3271701367736,169.61539626794956,170.21455610849597,170.11470259826532,170.68391245507726,166.80926276854075,174.05924864080583,173.60986810110467,173.3002895612627,173.78961875220264,174.34884586801633,174.05999755859375,173.2100067138672,173.13999938964844,172.92999267578125,175.24000549316406,176.38999938964844,174.7100067138672,173.3800048828125,172.4199981689453,173.89999389648438,175.77000427246094,178.99000549316406,179.35000610351562,180.1199951171875,181.77999877929688,184.9499969482422,180.1199951171875,181.2100067138672,180.83999633789062,182.22999572753906,183.88999938964844,184.14999389648438,184.38999938964844,186.52000427246094,186.99000549316406],\"increasing\":{\"line\":{\"width\":0.8}},\"low\":[81.63190231115576,84.61166336987534,86.17518738718877,85.7162076145569,84.71721791351936,86.18991550439947,88.91932927750179,87.99888109029989,87.76571832385804,86.64890873166128,86.22183487829345,88.3621471258514,89.32186320185689,89.25559428508483,90.78474707251553,91.36402360141437,92.37772797947737,92.94963150635277,92.9815376723523,93.52396978606383,92.16909927855272,94.73404562967119,94.15968263800818,94.09587731160782,94.31433265068321,94.98194285397797,94.84449116514777,90.3355842872446,87.52270487319872,91.77882703485652,91.55053663780384,92.00709882779846,92.06109134825425,98.99017268483612,105.92903616483261,106.41504055877525,106.91574756804565,107.79938165071522,108.48061120409757,108.19290945319385,107.31507111702966,108.48551747913606,112.05587713515627,111.18787745643509,112.09030801814491,112.1345773200515,113.71075389125221,113.83124277451196,117.2909522940479,121.90143792561574,121.03096530473898,123.02761630464181,121.7981604350823,122.53093914168767,123.93006805793941,128.385645863927,124.91362294067304,118.52043324585745,109.06829999555144,110.82887616412428,113.36649871658415,110.65183813018051,108.19290569850378,110.94690979669149,111.74360502698462,110.19939259557134,106.9241013512424,104.34713706955318,101.40625636301625,107.366715438598,105.01596570358639,103.2750511610751,105.90118811550492,110.92723183308968,111.70426701379584,111.7534381597199,113.92713267438769,110.37642376921157,111.68459408375827,110.40596358589082,112.25505534173607,112.70749095853374,113.03209056942273,117.32045528981578,117.68438127922403,117.65486630156289,116.20902511654046,116.858186194365,113.75992618576404,113.73041645750597,114.53695205597568,112.7075026782137,112.40259161828932,111.02560101274423,112.6583231050025,109.27483614470776,110.35675968722376,105.95037617354423,105.55693984468603,106.94377954112704,110.50430654527611,114.95005816151301,114.41925807826435,114.34044892825355,112.44873615306759,114.72470151492395,116.82332412305286,116.13363554596243,116.40950274395426,117.20756736024047,116.26170290828411,115.08924452495557,115.56216838162496,112.07432618573759,110.93141612500168,113.47340796128101,114.50793766574397,115.08924943134883,118.24211564285817,119.10915029935818,120.40971764318387,119.72986240019632,120.44911397298176,121.27673185002944,119.2175372955732,118.38003803832086,118.77416505112315,119.74958340537918,122.30141949048888,124.69562189763977,126.1538113866848,124.26210524575941,121.63142749668839,127.74006558052238,128.85345129503784,129.16874563786985,131.54322907143631,132.36100272524826,131.4348136709206,129.77959394749942,124.8926679204289,126.538067503177,124.51826316863894,125.97645891189346,128.3115551057975,126.60703127578647,124.99121716515467,126.59718358894509,126.86321749106665,125.12913755437158,125.0700184508641,126.65633576259086,131.62206383798429,133.0310051715494,134.52858637669132,139.28741670111108,138.34159762855563,134.6862565918547,128.29186229337603,129.0012362384868,132.62705782096936,131.64179362524368,132.60731808840572,134.05862496591345,133.13113644246198,134.04879789016366,132.61800002479998,131.9963645967124,131.91741650127253,131.02933629749788,127.75337878375373,125.72070364796335,127.09222066435187,123.9346858877832,116.82028100641453,120.6093684834923,118.94178034130285,119.59301209756131,121.16194407654912,123.35250981519843,120.2245356200113,117.04723487970224,116.01115997069863,114.66919464987303,117.21498917608453,117.86622680185734,119.6522407102786,117.5800691041812,118.82336563905932,123.06635425245715,120.71790803969773,118.72469291909663,118.09318338644553,118.66549307697626,120.52055474842514,118.4780101885418,117.42218941043298,117.34324446568704,119.12925710370992,117.2840528949811,119.54367736537515,120.86592341022238,121.43823361586158,123.98401798141597,123.48079292992333,126.81599148439312,127.75337722880725,128.89801095693272,130.18074552737465,129.91432957679433,131.86807687653985,131.5128580463501,131.57205811098802,130.06232648498477,129.55910731923387,129.6676260585676,130.4077132730758,131.78915343969433,132.33185272791312,131.31549789389925,130.69386289357533,129.3321668018118,130.08209126284277,125.02010755972785,126.27326150074572,125.44440330203699,127.98027248831312,125.34118445242864,121.34797740650339,120.8339954600223,122.8207237751577,124.39230411702647,123.72016912859512,123.33468836079352,121.4369375161631,123.65097963398824,123.75970462344112,124.48126286115163,124.85686147291047,124.95570234237913,123.63121516128638,123.10736150647912,122.50442640120174,122.6131542724232,121.70379991772434,122.41547452989626,123.38412814934563,124.74812803028169,125.05453563288076,124.48126288032924,124.63940981165992,125.59817493166425,127.89126247347342,126.97210437208088,128.14826167367013,128.73146058529707,127.71337307435464,130.09548091814148,131.68680993010713,131.39027976103478,131.27167862717062,131.8054426812209,132.79383870301302,134.29624049575457,134.1875187705983,136.15447372715963,138.44760473119223,141.00759688332252,139.04064736723512,140.99770163145428,142.33207010975346,141.96636609747094,145.96943466846568,145.38626322928323,144.19030961741572,140.02906932460562,141.3041452876035,142.9547652884433,144.12110148955688,145.21826023295006,145.98920048179494,143.86412191311527,140.88897985421775,142.9053594133569,142.4407870648675,143.56759579393463,143.4983801936543,144.58565661962714,144.47692256254757,144.15885373566073,144.04996276558484,143.83219320621657,144.05983701457072,144.366733112349,146.7721938091551,144.9903788321121,147.58389663062394,144.67358450361468,143.04026026897282,145.2972484142515,146.39602535236776,147.6432824924497,146.3069418307787,146.01984955625133,145.34673785194698,147.1087612949052,149.76166548024017,150.8010794798098,150.86045157684129,151.5435038265236,152.83036336209037,152.4245011635119,152.39481279409617,147.19782646576655,147.2473545566029,145.42590448192243,144.89137316940688,145.73277906596937,144.28753074527776,139.84291982900564,141.33765136995206,142.24832784442506,144.16875955972324,144.0895595639871,142.36712901656645,140.2586311730274,140.5952396765503,139.85279312342496,137.70472133036088,136.87321426443873,137.95220282341998,136.97217166406745,141.27824949206394,141.11985919703238,140.3774420239971,139.61520632950229,137.79380938920576,140.0804536092588,142.06026482536572,141.71381097455148,145.06956637193417,146.62371394188807,146.3762038942598,147.13844458177869,146.12877307855294,147.50468816132164,146.98998006000633,148.20751719724538,144.93097418797777,146.30693012774248,147.1483459387886,148.30654297945568,149.1182534249237,148.76091262898242,148.86005946434716,148.7609026674495,146.57003342819542,146.40150145136172,146.203232934972,148.13634337395428,148.04713158752608,149.68285215060394,151.72500148853692,155.1748779051877,159.60619124733822,157.68298783909952,158.25796395504318,155.00636761782465,157.41530885332375,158.5355435138769,163.10563916308038,156.43390547288504,158.33727712023665,162.85778899389248,166.88263405793148,169.22221420009842,172.41433881733758,173.17769751063096,174.0103782773436,170.71915878069666,170.81826573443314,169.2717699504953,168.22095749439734,166.01025786170453,167.65589409563046,170.65963908691452,173.7526554751937,175.53707260046346,176.9844236848154,176.5978016547098,176.5482392823275,175.72541639196308,176.17153376120066,177.56932171529706,173.12808017474626,170.15407180959673,169.54937409944736,166.71412312041753,169.34118562313773,173.30653115859704,170.3027793506199,169.60884655151455,167.94337876395366,164.50342605825855,162.75865522850907,160.894934234423,153.36073454765128,155.66067321371958,156.45371953904797,156.9097338780451,161.39061280982938,168.04251074513832,170.81826680433127,171.82943842276015,170.62993672420717,169.41794811238543,169.68595976517648,170.1624083481719,173.60676154526965,170.28151265999549,166.79748157477306,165.32841864982097,168.9911474028752,168.79262482337677,167.2242993516733,164.96116469067692,160.95102776817205,158.5687572280729,150.87610405642434,159.68047609901333,161.22895111332699,160.7723547817615,161.74510747518676,164.325905028532,160.9014053932525,157.86402887256602,154.6479755990383,158.23129920878358,154.8266427519836,153.35759662971375,148.9901424899154,149.2680722431548,153.31788560166277,156.46446081034696,158.57871882965082,161.80467928895968,163.6906389499885,166.41036286256175,168.95145389635857,171.47265070368414,170.7282029161665,175.03609661050294,175.39344042114607,173.11045479794024,170.66864721596724,173.15016681191997,173.13032728282406,168.8720366002275,168.5941114846161,167.94888740948824,164.27626260840876,165.40782595326368,165.5368660558737,163.81965860248206,162.3605328750981,162.6980314018354,164.87181979038272,164.6832296265749,160.3058551726863,157.2883279295491,155.56119945088295,154.23110433513887,157.7548280839297,156.0872624434389,152.1366989647349,155.16412827222342,158.08239452091004,153.80425957186412,153.26481511948467,150.5908009245453,152.02224162249638,144.9444949037869,137.97611493656925,142.26052906637716,143.32417372201044,145.80932423524953,139.06957842817226,135.78916565077154,131.82283490774202,136.83293134715547,136.5148570046467,137.5188451268119,136.32597330581464,144.39776386028225,145.96836898984648,146.8033857418728,145.9882688901548,143.60252207554646,144.03989219979607,143.24464944864422,146.58472445501064,141.6839720312444,136.24643300747974,130.65980778827074,130.69955341580382,131.37551982980906,128.2740445990834,129.03948596406462,132.52865533424054,133.11514541576665,134.8249355812244,138.94035685049795,140.13323085144071,136.50490842946073,135.8587623417033,132.9759760841887,134.85475242223868,136.11720443528156,140.24259582717175,142.4295085389261,144.13930629581776,142.9265445007683,144.18901210261114,141.27639718908037,142.39969820547105,147.32030265832128,145.8292074353362,146.037979670128,149.47742697839527,151.0381242375234,152.49939760629263,151.3760930731911,149.90487990749983,151.25682199732188,153.49344933275796,158.55325163575895,159.93500031204866,158.68246186797518,159.79583489628837,163.4539617584821,162.2575455562735,163.452072201941,162.50640134520125,166.1397784295103,167.42389764065254,168.62837223868377,170.56950788097186,170.8781121181972,171.78395173278088,172.33142812683786,170.52967363004328,166.37866769366843,165.89090180081593,165.49273829915097,167.5831681503852,162.81500106500457,159.09202101034003,157.0015904759361,156.42422305277157,153.96547132482243,154.2641106193204,152.9899558817463,152.91031655919846,151.9845331598988,154.04512180755137,158.5743996607004,152.67139135436827,152.91030092699302,150.69048343197173,147.69417628869783,148.42085299186897,152.3827259047021,152.90035736932626,150.22261475841006,147.88331930570453,148.95839420470355,149.2669876686188,144.18024585166498,140.0391896864294,137.37139440713477,137.06283438661472,143.60289414239773,142.35858116248943,144.55852791671353,138.81480483362617,137.93883123396463,137.59040637014994,137.5306813214245,133.75793797003382,137.56054259117877,139.63108541976985,139.9695331621316,140.85547621984662,142.00022739259177,142.00021612838802,145.3349593720056,148.67966579964246,147.36566261815764,143.4734955540275,147.146701068801,151.22801037715254,148.45072535195624,144.3395226312579,138.11799329571375,133.98979504761095,135.27605383105845,137.09078200847432,134.19919253829568,139.0949324341172,143.95077976339013,147.00190356814335,148.12862605534028,146.86231144077982,145.72562624481876,149.53454866832357,147.29106422623806,146.5033488393162,148.90636007634308,146.69280083951895,142.9636817183369,139.94247498643057,140.14188289933608,146.18428809997297,145.22706672901361,145.34673544417788,141.50791004464085,139.59348871733064,140.69030683316925,140.49087174321687,140.65040160940438,143.82118316999095,140.7501236451554,135.6350012421335,133.34168140116367,130.93870246375886,129.51284196650911,132.3645295217865,129.92165027209847,129.26357193147905,128.3462415373972,125.50452193330753,127.35911944760437,127.05998589340601,123.80944470185673,124.71681328707372,124.39773523436911,124.52736043072298,129.51283990277483,127.74798072486442,130.0811859955951,131.05834774158495,131.27770857596832,133.74053096684275,134.6379128248878,133.381583255335,133.83027002508047,137.49958551370858,139.89261415114078,138.40694267244209,141.48796099863907,142.6645407704189,142.43521946555305,141.86685938387214,140.90965455557173,147.73976559965263,147.4007459341663,150.34219019763273,150.20259214443786,150.73105954297898,149.98324020028772,149.01388606279806,150.71153616015494,150.65162386481984,152.66883517540765,153.13819256063618,150.64164559417281,148.20500695740134,146.95673244983493,147.03662913008233,145.51871674750447,147.2463309540677,146.62718968997848,144.80969478437947,143.70123213506687,147.12649448323148,153.24803913420683,150.9212577061406,151.62028719494015,150.02248517874366,147.40610607024377,147.4959831111428,149.89267582624265,149.71291967742982,151.43054355109953,154.06689722242072,153.93707570113997,156.32376162813117,157.59202287011217,157.46219108837684,157.63197708120003,157.6519335145944,155.7645442774916,159.12990629746326,161.04725139813567,161.6863656386617,163.99317195354632,164.88194383738121,161.57651403436486,161.77622679604914,159.85887949057343,160.28828815102457,159.55929517451455,161.19703316457137,163.5937320609274,163.80343057997516,165.42119182938217,165.31134322349524,165.3313090817159,164.2628017690971,163.66362536437794,163.5038394425234,162.57513276728713,164.9618299038175,167.64811616379544,168.40705868104195,167.30857123578147,166.9291114949111,164.08303795427128,170.52412978410584,171.87226606740936,171.36298200392997,171.66255595199104,171.93219029433865,171.0,171.47000122070312,171.8000030517578,170.4199981689453,172.5800018310547,174.94000244140625,173.4499969482422,171.27999877929688,170.52000427246094,171.69000244140625,173.11000061035156,176.57000732421875,176.75999450683594,176.92999267578125,179.25999450683594,178.0399932861328,177.42999267578125,177.32000732421875,177.4600067138672,180.6300048828125,180.97000122070312,182.44000244140625,182.02000427246094,183.77999877929688,184.27000427246094],\"name\":\" AAPL OHLC\",\"open\":[81.79635739831744,86.26599669201428,87.17171549694052,86.25374470661288,87.04654768395,86.2365516845364,89.34396124043593,89.58940249419287,88.53397942314015,89.44459274514224,86.70537257059519,88.38177986270313,89.61885611257185,90.28893845547655,90.81665682610499,92.14455423383852,92.46609403676878,94.51069277283024,93.60007008584256,95.4949362863999,93.11407750222713,97.18854992356242,94.80521839801565,95.22250142563239,94.66287557532023,97.36772107340866,94.93284971480298,95.23231619300046,89.3316807070367,92.00463723317202,92.65015705840514,92.04391489564613,92.47344625845587,101.01268967430154,106.230935377811,107.14648560295579,107.38701567037293,108.3958244349517,111.3452629708742,110.75019490309408,110.13054873064374,108.68222884887915,112.55012437915057,112.94355680232964,114.15580739425693,112.47391083900423,114.07713204181641,113.84845708519656,117.30324394151202,126.58323459652917,122.64894509777646,124.1070899565008,125.0537884314199,123.9423625478564,125.4841135694813,130.57900711751884,135.329645062676,124.82513375324945,118.0974913812052,112.07800910965193,115.33364250654506,118.38271382120043,112.6878288441793,112.83536598371877,116.38606563168142,113.33698924452531,107.91751108069481,108.58633697195597,102.82260223011406,110.82888532905316,109.78629529656813,103.4422565857905,106.6487048849474,113.12060035623733,112.66817083480039,111.92064357603087,115.7073953760925,111.03541504541609,112.0386805739074,113.79928418668423,112.7370109631907,114.34022377743217,113.38617708389069,118.08764017285665,123.2120506459095,119.01219274044774,116.76966081689413,119.28761021995582,117.98928072803287,114.29105214212797,114.75333908842127,115.52051896892375,114.47792885536543,112.13704213884503,113.5927133816602,113.15994963633973,110.5239726065029,109.23550302471028,107.31753451016817,107.85850173867361,112.2649012277168,116.01231017980145,116.57699906217637,118.72489214592792,113.84782369530934,115.46365311516539,117.85785939471864,117.68050725307518,117.16815636372795,117.78887982048418,116.86271739756009,115.85775297556687,116.89227964229138,115.45379847601848,112.2319782222906,113.84781492299172,114.85278023188417,115.24689605204324,119.22738448327227,120.22250139022391,121.70041756401854,120.7939545183351,120.5082276970976,122.53788221652272,122.69553532139264,118.72488058641592,120.62646781694932,120.79396603740288,122.50832504668796,125.53310642465706,127.00114316175194,127.06027258001065,123.17829917567998,129.67119861526484,130.21312703761436,129.38550597649703,132.01616890912118,136.0163564706046,133.58270684776525,132.10482867334863,131.5530867253629,126.9912977759388,125.8385272157322,126.46909327099925,130.4791435179752,127.286869102086,126.60705761033863,126.86319531958226,128.8731744556448,126.88291481501136,125.89764059879285,126.76471595635225,131.82897691423827,134.27243851809837,140.96240504345167,141.4845764961812,141.3170986190509,137.46472212616223,133.82906836424308,131.7797014594132,133.73055426620306,133.76011599275816,134.29213427392529,135.52887438964277,134.2264199046133,134.8085777726371,134.67042335373893,134.09811295598706,132.56866922321788,133.69354915516502,129.50977683845437,127.48696382369138,128.5131298546014,126.31272812451824,122.11908354966197,123.28343597259008,123.02688814183931,120.96458155306895,122.10921465655696,126.70743113689896,123.15515797951687,120.13573188872961,119.37595100048932,119.32661434687364,117.4518049584502,120.07653238779287,120.91526824904798,118.8036259188024,119.80024478278652,124.03335633865659,122.40524202213263,121.25074781261866,118.31026764810568,118.73456465650396,121.69477904109709,121.19154836499385,117.95503050106204,118.75428447560917,120.03705711493997,118.51747932410699,120.03704788068562,122.0204162968084,122.22762955096901,124.82274639223817,124.1616467656592,127.24028300086883,128.07900361338616,130.7629512687244,130.68399312232046,133.15083899934183,132.04569809969695,132.51933822581768,131.7398022956103,133.22977166343108,130.60505045906638,131.27600349679273,130.4077132730758,133.04231899069694,133.21991371682938,132.5291851432743,134.6605665502157,130.03274457067457,130.2892984785333,129.45058098687758,127.48694885455356,126.19432870554077,129.33441449491502,127.91107524079186,122.06952528697938,121.97067668012103,123.13701697852535,124.78767250842645,125.35105888516959,125.09406964685583,121.73346569189145,123.77947868525156,126.33947386683988,124.55045176255464,126.33948728562285,125.48944854268419,124.97546304757086,124.11554370155454,123.63122137115202,122.8404860009922,123.235849503454,122.63292753079523,124.70860365562427,125.13361011683992,125.73654588568724,125.54874771056527,125.06442951748443,126.33948784128083,128.43489478652216,128.8599701218938,128.29653327712873,129.19601787235248,128.79074403416718,130.59958339643785,132.22056362594293,132.89267799770448,131.91415882071274,131.86474530145554,133.23862336581146,134.59276867295497,135.01780071268618,136.30273027916047,138.44760473119223,141.8773937358426,139.94011064962092,141.09654938012682,144.51647865517825,142.3617269414073,146.38458313569342,147.51136897934322,146.74042786790602,142.08497900456993,141.7983539426521,143.84433461630996,144.24960054465376,145.8409679253031,146.55260545979655,147.39276336252286,143.1326911021181,143.01408590774682,142.70766390143208,144.66473947006526,144.12108776190428,145.56419500820158,145.27753798304954,144.87158151966622,144.72308616272107,144.96067640665035,144.57458814056508,144.71320348400798,147.46511945016627,147.03946008591697,148.71237980329468,148.2867212125935,143.56490499791997,145.95058481461496,146.8117807303015,147.94025491706822,148.2966315690722,146.85137536155526,145.99016556630733,147.49482096034708,151.11783604496097,151.28613500755367,152.31560286854284,152.20673377301355,153.40450605877535,155.39419538469932,153.9192643599093,153.4341867547935,149.10836797204917,148.8311556832778,147.05925232199996,146.94045578708557,147.31663139091725,142.34736101086003,142.47602815807716,142.99075128317952,145.16855120915264,144.18855541209763,144.00045457611662,141.80286942859595,141.03079729986558,142.20875527931858,140.4665303037979,140.327948960108,138.08089441270843,138.0610654283164,141.6148112005845,142.57501049359317,140.83280177943226,141.7830853515804,139.81320992623188,140.67439842172033,142.3176479873455,142.00087476809475,145.52491102927556,147.19785670023109,147.30671037676385,148.17784054838364,147.1780627942219,147.8214627557,147.85118660722802,148.30651303070636,145.7327891754823,147.4849111862794,147.15825458672288,148.87077705112185,150.04876008215683,150.57507194478615,150.09923813904365,148.89969005859857,148.7212454067648,147.67043418665793,147.14500557624575,149.06820800125598,148.64194332409207,149.69276013281876,152.3792912933017,156.28517693361246,160.28029709241605,159.72515164499706,159.35835506788908,158.18858480126744,157.99028946439063,158.60494477276913,166.0300975678824,157.36577017643003,162.6000542904123,162.86769697598086,167.616233134818,170.63984228057853,173.3957736398219,173.69320006568233,179.5519801920588,173.7328343876541,173.59402844193215,177.72792216746248,168.45887007872776,166.82315102287066,170.0747730142706,171.5419334813965,174.32763611004077,175.55688856476567,178.60031724197964,177.77750197937644,177.91629721523523,176.54823271763183,176.29049005538852,181.04894470707043,178.05505436630412,171.2048927216471,171.39327248897288,167.61624873269542,170.82819983425756,174.5952645158157,174.25824271674443,169.85668226690106,170.0251894611553,168.52827539145454,165.53441812088403,162.99657606155472,158.6346857250003,157.6036969119052,162.08453907927841,161.04363145201154,164.27542402299238,168.68689263410752,172.50354645371806,173.2371432941248,172.96950659544268,170.41055389737753,171.58184049255757,170.46019312318182,174.74826738953286,172.8523578150772,171.05576918377568,166.1324269197263,169.70582483264374,170.57931835083184,169.7653677613364,168.56432868673448,163.76010405826952,164.31593744554374,151.4518173236291,162.6285162763693,161.85429760740018,163.48216424248093,163.17446220984053,167.22431235531155,163.27373263695338,162.15209344594166,157.64564914132555,160.28598540375458,159.015440285688,157.75483306884027,150.3301512849662,149.78421637893206,155.8887307718112,157.43721027654053,159.32317328140124,162.30098222970412,164.28619338911562,166.74786035877926,169.79515980876454,172.59430009623966,170.8969440899053,175.383514685934,177.22976719477228,176.52502135745127,172.74318974597375,173.27921041906455,176.1875554140025,171.08554338510487,169.89442273867357,170.50981202447286,167.46253394316406,166.77762677123636,166.15227677746537,169.35840092041093,162.70793580660606,163.79982452076743,167.51213955294443,167.66104698523097,165.2291871722451,159.92864795064895,161.05030892235288,154.7571842325419,158.0724692010517,160.64331944189206,155.5512654244307,156.98058335110878,158.48936653462445,162.63845992855647,155.08395447367255,154.01036925391517,154.59687961120179,152.58885083507758,141.92255105099636,143.73173984352573,144.68605203455112,147.97639199935685,145.97833689758045,139.04969476991928,138.26436573545226,136.97209972871613,139.97419664483849,137.60830726921455,136.57448937317744,144.5269970633591,148.1851428567889,149.01020935856815,146.95251237676285,146.0280260003099,146.15725373622604,143.49316548504493,147.69807158758232,146.20696726486935,139.4473208552486,132.08131238874049,132.33976840465368,133.4928661247109,131.29600842395914,129.2979523929446,132.62805265999316,133.98991162861677,136.00787443492956,139.06957488152463,141.852957662535,141.2863549868552,136.6440816114071,136.43531535202467,135.23248650219884,136.95222989609485,140.5109974401778,142.43944371975286,144.39775752241124,144.80532516681674,144.89478917503547,142.1412433448499,143.2247733206695,148.89092582124195,149.84523508628294,147.04197908187322,150.22297511881004,153.58292628497466,154.46764054029185,153.0958198683543,151.35620510186567,151.67432716786874,156.04818631562756,160.28292893234354,160.05428317100592,159.1496732223623,159.88529704217228,165.02458494388097,162.46659570315956,165.6121861116893,163.27289827223376,166.9162243798202,169.28537493742343,169.04647249363725,170.73873170930455,171.9930057866333,171.9830376958416,172.95856331771208,172.24184017601183,168.9170553442342,166.3189510457003,166.5578717853772,168.0112022001409,169.793081063123,160.41594944233609,161.39150667931608,159.57978180663423,155.92649912624987,159.02233643490595,155.75729197283712,154.1148117673296,153.9356120155937,154.76184346018334,158.86307204220188,159.17164584297169,154.08491868904255,153.94557795828587,150.52125175695986,148.62988793223016,152.70126041355238,156.6233119309839,151.68592018358595,150.50134473820444,148.97830735837348,152.0442879656901,146.96749480633954,145.43451473637273,140.63645242137906,137.58047007702714,144.36939106627057,143.41376560059146,145.14583683672998,141.89072629628572,139.7803955078125,139.26274664592904,138.49626416182582,134.37512419035275,143.65266093622793,140.42744452045895,144.8273100080973,141.04461321184104,142.36855238224734,142.21921523266434,146.51954126566565,149.40633639660382,150.27237521709898,147.3955513620431,147.524959875762,152.46236770895953,154.37362036897557,148.2715272788731,141.41291380459072,141.67739839146884,136.71187494412393,140.00230151135142,138.09784287304672,140.82988545567022,145.3965814876276,148.53744042537275,151.77800221807175,148.69698024710706,146.00481200715086,151.86775059820192,149.7239815924679,147.69987654463006,149.01604127960607,147.87934785508065,144.7185658439649,143.8710217179754,140.98940559475224,147.7796482542893,145.5361793551968,147.34092809265317,146.64296529884095,141.77713215372614,141.94664280841226,141.92669294313936,142.28563893242656,149.06590449993192,144.92795976304816,140.70025200187996,136.29309308736404,134.7176910074266,131.00848646464317,132.59385740327596,133.95989330945588,130.53985405936263,130.99852144160639,129.29348354787626,127.61835901999605,128.0371436459703,129.90170365209343,126.52155524630473,126.7608485723499,125.64411106238789,130.0911575919093,129.88176632585493,130.8688853540207,133.49126528964032,131.6466293553823,134.43849533070656,136.4227237306548,133.69068069011047,134.88718969578784,137.71894793573955,139.90257963694276,140.4809049176171,142.7542775786182,142.74431030034725,144.53909336941618,142.2856380012917,143.5519536298373,148.4676416812356,147.60016214867156,152.12700122890183,150.20259214443786,153.43319745590847,153.33348474722268,149.25356004028248,150.74149350289025,151.90987799280344,152.8985132150285,153.29795998117737,152.13957372972888,149.99252775033253,148.6643619041832,149.88268340355657,146.90679611730286,147.50598157999445,146.84688702919925,146.62718816489974,144.1805801065709,147.83550522510654,153.57756991048663,153.48769998945954,152.5989293069558,153.3478873257998,150.00252077042248,147.60583178075595,151.07103860063347,150.98116974383305,151.949829557065,155.86441399302902,154.8558183691826,157.1026982180508,159.07997029668837,158.61061174903344,158.64057654143252,159.71908159305104,157.75180102350316,159.1498677016098,161.3068867896856,162.21563235769824,164.04310593847,166.36989127323062,164.51245554719034,162.20562551603575,161.1970248594293,162.12575820960873,160.99730854512256,161.40674980193992,164.36265753254696,164.86196400554493,165.87058246245033,165.5709938538562,165.86057577225114,164.82202582458106,164.77209277986006,164.9618294844116,162.83476815227039,164.9618299038175,168.25727419459005,169.04617404607063,169.85505198266708,169.26587567909357,164.66223863513403,170.74382712492732,172.24175011249318,172.81097613044236,172.7810193066126,173.60987773683433,173.6199951171875,173.16000366210938,171.99000549316406,171.7100067138672,173.0,176.38999938964844,173.97999572753906,173.1300048828125,171.08999633789062,172.41000366210938,173.32000732421875,176.9600067138672,177.3300018310547,177.6999969482422,181.02999877929688,182.6300048828125,179.97000122070312,178.44000244140625,177.89999389648438,181.5,181.27000427246094,182.8000030517578,183.3699951171875,183.9600067138672,186.72999572753906],\"showlegend\":false,\"x\":[\"2020-06-15T00:00:00\",\"2020-06-16T00:00:00\",\"2020-06-17T00:00:00\",\"2020-06-18T00:00:00\",\"2020-06-19T00:00:00\",\"2020-06-22T00:00:00\",\"2020-06-23T00:00:00\",\"2020-06-24T00:00:00\",\"2020-06-25T00:00:00\",\"2020-06-26T00:00:00\",\"2020-06-29T00:00:00\",\"2020-06-30T00:00:00\",\"2020-07-01T00:00:00\",\"2020-07-02T00:00:00\",\"2020-07-06T00:00:00\",\"2020-07-07T00:00:00\",\"2020-07-08T00:00:00\",\"2020-07-09T00:00:00\",\"2020-07-10T00:00:00\",\"2020-07-13T00:00:00\",\"2020-07-14T00:00:00\",\"2020-07-15T00:00:00\",\"2020-07-16T00:00:00\",\"2020-07-17T00:00:00\",\"2020-07-20T00:00:00\",\"2020-07-21T00:00:00\",\"2020-07-22T00:00:00\",\"2020-07-23T00:00:00\",\"2020-07-24T00:00:00\",\"2020-07-27T00:00:00\",\"2020-07-28T00:00:00\",\"2020-07-29T00:00:00\",\"2020-07-30T00:00:00\",\"2020-07-31T00:00:00\",\"2020-08-03T00:00:00\",\"2020-08-04T00:00:00\",\"2020-08-05T00:00:00\",\"2020-08-06T00:00:00\",\"2020-08-07T00:00:00\",\"2020-08-10T00:00:00\",\"2020-08-11T00:00:00\",\"2020-08-12T00:00:00\",\"2020-08-13T00:00:00\",\"2020-08-14T00:00:00\",\"2020-08-17T00:00:00\",\"2020-08-18T00:00:00\",\"2020-08-19T00:00:00\",\"2020-08-20T00:00:00\",\"2020-08-21T00:00:00\",\"2020-08-24T00:00:00\",\"2020-08-25T00:00:00\",\"2020-08-26T00:00:00\",\"2020-08-27T00:00:00\",\"2020-08-28T00:00:00\",\"2020-08-31T00:00:00\",\"2020-09-01T00:00:00\",\"2020-09-02T00:00:00\",\"2020-09-03T00:00:00\",\"2020-09-04T00:00:00\",\"2020-09-08T00:00:00\",\"2020-09-09T00:00:00\",\"2020-09-10T00:00:00\",\"2020-09-11T00:00:00\",\"2020-09-14T00:00:00\",\"2020-09-15T00:00:00\",\"2020-09-16T00:00:00\",\"2020-09-17T00:00:00\",\"2020-09-18T00:00:00\",\"2020-09-21T00:00:00\",\"2020-09-22T00:00:00\",\"2020-09-23T00:00:00\",\"2020-09-24T00:00:00\",\"2020-09-25T00:00:00\",\"2020-09-28T00:00:00\",\"2020-09-29T00:00:00\",\"2020-09-30T00:00:00\",\"2020-10-01T00:00:00\",\"2020-10-02T00:00:00\",\"2020-10-05T00:00:00\",\"2020-10-06T00:00:00\",\"2020-10-07T00:00:00\",\"2020-10-08T00:00:00\",\"2020-10-09T00:00:00\",\"2020-10-12T00:00:00\",\"2020-10-13T00:00:00\",\"2020-10-14T00:00:00\",\"2020-10-15T00:00:00\",\"2020-10-16T00:00:00\",\"2020-10-19T00:00:00\",\"2020-10-20T00:00:00\",\"2020-10-21T00:00:00\",\"2020-10-22T00:00:00\",\"2020-10-23T00:00:00\",\"2020-10-26T00:00:00\",\"2020-10-27T00:00:00\",\"2020-10-28T00:00:00\",\"2020-10-29T00:00:00\",\"2020-10-30T00:00:00\",\"2020-11-02T00:00:00\",\"2020-11-03T00:00:00\",\"2020-11-04T00:00:00\",\"2020-11-05T00:00:00\",\"2020-11-06T00:00:00\",\"2020-11-09T00:00:00\",\"2020-11-10T00:00:00\",\"2020-11-11T00:00:00\",\"2020-11-12T00:00:00\",\"2020-11-13T00:00:00\",\"2020-11-16T00:00:00\",\"2020-11-17T00:00:00\",\"2020-11-18T00:00:00\",\"2020-11-19T00:00:00\",\"2020-11-20T00:00:00\",\"2020-11-23T00:00:00\",\"2020-11-24T00:00:00\",\"2020-11-25T00:00:00\",\"2020-11-27T00:00:00\",\"2020-11-30T00:00:00\",\"2020-12-01T00:00:00\",\"2020-12-02T00:00:00\",\"2020-12-03T00:00:00\",\"2020-12-04T00:00:00\",\"2020-12-07T00:00:00\",\"2020-12-08T00:00:00\",\"2020-12-09T00:00:00\",\"2020-12-10T00:00:00\",\"2020-12-11T00:00:00\",\"2020-12-14T00:00:00\",\"2020-12-15T00:00:00\",\"2020-12-16T00:00:00\",\"2020-12-17T00:00:00\",\"2020-12-18T00:00:00\",\"2020-12-21T00:00:00\",\"2020-12-22T00:00:00\",\"2020-12-23T00:00:00\",\"2020-12-24T00:00:00\",\"2020-12-28T00:00:00\",\"2020-12-29T00:00:00\",\"2020-12-30T00:00:00\",\"2020-12-31T00:00:00\",\"2021-01-04T00:00:00\",\"2021-01-05T00:00:00\",\"2021-01-06T00:00:00\",\"2021-01-07T00:00:00\",\"2021-01-08T00:00:00\",\"2021-01-11T00:00:00\",\"2021-01-12T00:00:00\",\"2021-01-13T00:00:00\",\"2021-01-14T00:00:00\",\"2021-01-15T00:00:00\",\"2021-01-19T00:00:00\",\"2021-01-20T00:00:00\",\"2021-01-21T00:00:00\",\"2021-01-22T00:00:00\",\"2021-01-25T00:00:00\",\"2021-01-26T00:00:00\",\"2021-01-27T00:00:00\",\"2021-01-28T00:00:00\",\"2021-01-29T00:00:00\",\"2021-02-01T00:00:00\",\"2021-02-02T00:00:00\",\"2021-02-03T00:00:00\",\"2021-02-04T00:00:00\",\"2021-02-05T00:00:00\",\"2021-02-08T00:00:00\",\"2021-02-09T00:00:00\",\"2021-02-10T00:00:00\",\"2021-02-11T00:00:00\",\"2021-02-12T00:00:00\",\"2021-02-16T00:00:00\",\"2021-02-17T00:00:00\",\"2021-02-18T00:00:00\",\"2021-02-19T00:00:00\",\"2021-02-22T00:00:00\",\"2021-02-23T00:00:00\",\"2021-02-24T00:00:00\",\"2021-02-25T00:00:00\",\"2021-02-26T00:00:00\",\"2021-03-01T00:00:00\",\"2021-03-02T00:00:00\",\"2021-03-03T00:00:00\",\"2021-03-04T00:00:00\",\"2021-03-05T00:00:00\",\"2021-03-08T00:00:00\",\"2021-03-09T00:00:00\",\"2021-03-10T00:00:00\",\"2021-03-11T00:00:00\",\"2021-03-12T00:00:00\",\"2021-03-15T00:00:00\",\"2021-03-16T00:00:00\",\"2021-03-17T00:00:00\",\"2021-03-18T00:00:00\",\"2021-03-19T00:00:00\",\"2021-03-22T00:00:00\",\"2021-03-23T00:00:00\",\"2021-03-24T00:00:00\",\"2021-03-25T00:00:00\",\"2021-03-26T00:00:00\",\"2021-03-29T00:00:00\",\"2021-03-30T00:00:00\",\"2021-03-31T00:00:00\",\"2021-04-01T00:00:00\",\"2021-04-05T00:00:00\",\"2021-04-06T00:00:00\",\"2021-04-07T00:00:00\",\"2021-04-08T00:00:00\",\"2021-04-09T00:00:00\",\"2021-04-12T00:00:00\",\"2021-04-13T00:00:00\",\"2021-04-14T00:00:00\",\"2021-04-15T00:00:00\",\"2021-04-16T00:00:00\",\"2021-04-19T00:00:00\",\"2021-04-20T00:00:00\",\"2021-04-21T00:00:00\",\"2021-04-22T00:00:00\",\"2021-04-23T00:00:00\",\"2021-04-26T00:00:00\",\"2021-04-27T00:00:00\",\"2021-04-28T00:00:00\",\"2021-04-29T00:00:00\",\"2021-04-30T00:00:00\",\"2021-05-03T00:00:00\",\"2021-05-04T00:00:00\",\"2021-05-05T00:00:00\",\"2021-05-06T00:00:00\",\"2021-05-07T00:00:00\",\"2021-05-10T00:00:00\",\"2021-05-11T00:00:00\",\"2021-05-12T00:00:00\",\"2021-05-13T00:00:00\",\"2021-05-14T00:00:00\",\"2021-05-17T00:00:00\",\"2021-05-18T00:00:00\",\"2021-05-19T00:00:00\",\"2021-05-20T00:00:00\",\"2021-05-21T00:00:00\",\"2021-05-24T00:00:00\",\"2021-05-25T00:00:00\",\"2021-05-26T00:00:00\",\"2021-05-27T00:00:00\",\"2021-05-28T00:00:00\",\"2021-06-01T00:00:00\",\"2021-06-02T00:00:00\",\"2021-06-03T00:00:00\",\"2021-06-04T00:00:00\",\"2021-06-07T00:00:00\",\"2021-06-08T00:00:00\",\"2021-06-09T00:00:00\",\"2021-06-10T00:00:00\",\"2021-06-11T00:00:00\",\"2021-06-14T00:00:00\",\"2021-06-15T00:00:00\",\"2021-06-16T00:00:00\",\"2021-06-17T00:00:00\",\"2021-06-18T00:00:00\",\"2021-06-21T00:00:00\",\"2021-06-22T00:00:00\",\"2021-06-23T00:00:00\",\"2021-06-24T00:00:00\",\"2021-06-25T00:00:00\",\"2021-06-28T00:00:00\",\"2021-06-29T00:00:00\",\"2021-06-30T00:00:00\",\"2021-07-01T00:00:00\",\"2021-07-02T00:00:00\",\"2021-07-06T00:00:00\",\"2021-07-07T00:00:00\",\"2021-07-08T00:00:00\",\"2021-07-09T00:00:00\",\"2021-07-12T00:00:00\",\"2021-07-13T00:00:00\",\"2021-07-14T00:00:00\",\"2021-07-15T00:00:00\",\"2021-07-16T00:00:00\",\"2021-07-19T00:00:00\",\"2021-07-20T00:00:00\",\"2021-07-21T00:00:00\",\"2021-07-22T00:00:00\",\"2021-07-23T00:00:00\",\"2021-07-26T00:00:00\",\"2021-07-27T00:00:00\",\"2021-07-28T00:00:00\",\"2021-07-29T00:00:00\",\"2021-07-30T00:00:00\",\"2021-08-02T00:00:00\",\"2021-08-03T00:00:00\",\"2021-08-04T00:00:00\",\"2021-08-05T00:00:00\",\"2021-08-06T00:00:00\",\"2021-08-09T00:00:00\",\"2021-08-10T00:00:00\",\"2021-08-11T00:00:00\",\"2021-08-12T00:00:00\",\"2021-08-13T00:00:00\",\"2021-08-16T00:00:00\",\"2021-08-17T00:00:00\",\"2021-08-18T00:00:00\",\"2021-08-19T00:00:00\",\"2021-08-20T00:00:00\",\"2021-08-23T00:00:00\",\"2021-08-24T00:00:00\",\"2021-08-25T00:00:00\",\"2021-08-26T00:00:00\",\"2021-08-27T00:00:00\",\"2021-08-30T00:00:00\",\"2021-08-31T00:00:00\",\"2021-09-01T00:00:00\",\"2021-09-02T00:00:00\",\"2021-09-03T00:00:00\",\"2021-09-07T00:00:00\",\"2021-09-08T00:00:00\",\"2021-09-09T00:00:00\",\"2021-09-10T00:00:00\",\"2021-09-13T00:00:00\",\"2021-09-14T00:00:00\",\"2021-09-15T00:00:00\",\"2021-09-16T00:00:00\",\"2021-09-17T00:00:00\",\"2021-09-20T00:00:00\",\"2021-09-21T00:00:00\",\"2021-09-22T00:00:00\",\"2021-09-23T00:00:00\",\"2021-09-24T00:00:00\",\"2021-09-27T00:00:00\",\"2021-09-28T00:00:00\",\"2021-09-29T00:00:00\",\"2021-09-30T00:00:00\",\"2021-10-01T00:00:00\",\"2021-10-04T00:00:00\",\"2021-10-05T00:00:00\",\"2021-10-06T00:00:00\",\"2021-10-07T00:00:00\",\"2021-10-08T00:00:00\",\"2021-10-11T00:00:00\",\"2021-10-12T00:00:00\",\"2021-10-13T00:00:00\",\"2021-10-14T00:00:00\",\"2021-10-15T00:00:00\",\"2021-10-18T00:00:00\",\"2021-10-19T00:00:00\",\"2021-10-20T00:00:00\",\"2021-10-21T00:00:00\",\"2021-10-22T00:00:00\",\"2021-10-25T00:00:00\",\"2021-10-26T00:00:00\",\"2021-10-27T00:00:00\",\"2021-10-28T00:00:00\",\"2021-10-29T00:00:00\",\"2021-11-01T00:00:00\",\"2021-11-02T00:00:00\",\"2021-11-03T00:00:00\",\"2021-11-04T00:00:00\",\"2021-11-05T00:00:00\",\"2021-11-08T00:00:00\",\"2021-11-09T00:00:00\",\"2021-11-10T00:00:00\",\"2021-11-11T00:00:00\",\"2021-11-12T00:00:00\",\"2021-11-15T00:00:00\",\"2021-11-16T00:00:00\",\"2021-11-17T00:00:00\",\"2021-11-18T00:00:00\",\"2021-11-19T00:00:00\",\"2021-11-22T00:00:00\",\"2021-11-23T00:00:00\",\"2021-11-24T00:00:00\",\"2021-11-26T00:00:00\",\"2021-11-29T00:00:00\",\"2021-11-30T00:00:00\",\"2021-12-01T00:00:00\",\"2021-12-02T00:00:00\",\"2021-12-03T00:00:00\",\"2021-12-06T00:00:00\",\"2021-12-07T00:00:00\",\"2021-12-08T00:00:00\",\"2021-12-09T00:00:00\",\"2021-12-10T00:00:00\",\"2021-12-13T00:00:00\",\"2021-12-14T00:00:00\",\"2021-12-15T00:00:00\",\"2021-12-16T00:00:00\",\"2021-12-17T00:00:00\",\"2021-12-20T00:00:00\",\"2021-12-21T00:00:00\",\"2021-12-22T00:00:00\",\"2021-12-23T00:00:00\",\"2021-12-27T00:00:00\",\"2021-12-28T00:00:00\",\"2021-12-29T00:00:00\",\"2021-12-30T00:00:00\",\"2021-12-31T00:00:00\",\"2022-01-03T00:00:00\",\"2022-01-04T00:00:00\",\"2022-01-05T00:00:00\",\"2022-01-06T00:00:00\",\"2022-01-07T00:00:00\",\"2022-01-10T00:00:00\",\"2022-01-11T00:00:00\",\"2022-01-12T00:00:00\",\"2022-01-13T00:00:00\",\"2022-01-14T00:00:00\",\"2022-01-18T00:00:00\",\"2022-01-19T00:00:00\",\"2022-01-20T00:00:00\",\"2022-01-21T00:00:00\",\"2022-01-24T00:00:00\",\"2022-01-25T00:00:00\",\"2022-01-26T00:00:00\",\"2022-01-27T00:00:00\",\"2022-01-28T00:00:00\",\"2022-01-31T00:00:00\",\"2022-02-01T00:00:00\",\"2022-02-02T00:00:00\",\"2022-02-03T00:00:00\",\"2022-02-04T00:00:00\",\"2022-02-07T00:00:00\",\"2022-02-08T00:00:00\",\"2022-02-09T00:00:00\",\"2022-02-10T00:00:00\",\"2022-02-11T00:00:00\",\"2022-02-14T00:00:00\",\"2022-02-15T00:00:00\",\"2022-02-16T00:00:00\",\"2022-02-17T00:00:00\",\"2022-02-18T00:00:00\",\"2022-02-22T00:00:00\",\"2022-02-23T00:00:00\",\"2022-02-24T00:00:00\",\"2022-02-25T00:00:00\",\"2022-02-28T00:00:00\",\"2022-03-01T00:00:00\",\"2022-03-02T00:00:00\",\"2022-03-03T00:00:00\",\"2022-03-04T00:00:00\",\"2022-03-07T00:00:00\",\"2022-03-08T00:00:00\",\"2022-03-09T00:00:00\",\"2022-03-10T00:00:00\",\"2022-03-11T00:00:00\",\"2022-03-14T00:00:00\",\"2022-03-15T00:00:00\",\"2022-03-16T00:00:00\",\"2022-03-17T00:00:00\",\"2022-03-18T00:00:00\",\"2022-03-21T00:00:00\",\"2022-03-22T00:00:00\",\"2022-03-23T00:00:00\",\"2022-03-24T00:00:00\",\"2022-03-25T00:00:00\",\"2022-03-28T00:00:00\",\"2022-03-29T00:00:00\",\"2022-03-30T00:00:00\",\"2022-03-31T00:00:00\",\"2022-04-01T00:00:00\",\"2022-04-04T00:00:00\",\"2022-04-05T00:00:00\",\"2022-04-06T00:00:00\",\"2022-04-07T00:00:00\",\"2022-04-08T00:00:00\",\"2022-04-11T00:00:00\",\"2022-04-12T00:00:00\",\"2022-04-13T00:00:00\",\"2022-04-14T00:00:00\",\"2022-04-18T00:00:00\",\"2022-04-19T00:00:00\",\"2022-04-20T00:00:00\",\"2022-04-21T00:00:00\",\"2022-04-22T00:00:00\",\"2022-04-25T00:00:00\",\"2022-04-26T00:00:00\",\"2022-04-27T00:00:00\",\"2022-04-28T00:00:00\",\"2022-04-29T00:00:00\",\"2022-05-02T00:00:00\",\"2022-05-03T00:00:00\",\"2022-05-04T00:00:00\",\"2022-05-05T00:00:00\",\"2022-05-06T00:00:00\",\"2022-05-09T00:00:00\",\"2022-05-10T00:00:00\",\"2022-05-11T00:00:00\",\"2022-05-12T00:00:00\",\"2022-05-13T00:00:00\",\"2022-05-16T00:00:00\",\"2022-05-17T00:00:00\",\"2022-05-18T00:00:00\",\"2022-05-19T00:00:00\",\"2022-05-20T00:00:00\",\"2022-05-23T00:00:00\",\"2022-05-24T00:00:00\",\"2022-05-25T00:00:00\",\"2022-05-26T00:00:00\",\"2022-05-27T00:00:00\",\"2022-05-31T00:00:00\",\"2022-06-01T00:00:00\",\"2022-06-02T00:00:00\",\"2022-06-03T00:00:00\",\"2022-06-06T00:00:00\",\"2022-06-07T00:00:00\",\"2022-06-08T00:00:00\",\"2022-06-09T00:00:00\",\"2022-06-10T00:00:00\",\"2022-06-13T00:00:00\",\"2022-06-14T00:00:00\",\"2022-06-15T00:00:00\",\"2022-06-16T00:00:00\",\"2022-06-17T00:00:00\",\"2022-06-21T00:00:00\",\"2022-06-22T00:00:00\",\"2022-06-23T00:00:00\",\"2022-06-24T00:00:00\",\"2022-06-27T00:00:00\",\"2022-06-28T00:00:00\",\"2022-06-29T00:00:00\",\"2022-06-30T00:00:00\",\"2022-07-01T00:00:00\",\"2022-07-05T00:00:00\",\"2022-07-06T00:00:00\",\"2022-07-07T00:00:00\",\"2022-07-08T00:00:00\",\"2022-07-11T00:00:00\",\"2022-07-12T00:00:00\",\"2022-07-13T00:00:00\",\"2022-07-14T00:00:00\",\"2022-07-15T00:00:00\",\"2022-07-18T00:00:00\",\"2022-07-19T00:00:00\",\"2022-07-20T00:00:00\",\"2022-07-21T00:00:00\",\"2022-07-22T00:00:00\",\"2022-07-25T00:00:00\",\"2022-07-26T00:00:00\",\"2022-07-27T00:00:00\",\"2022-07-28T00:00:00\",\"2022-07-29T00:00:00\",\"2022-08-01T00:00:00\",\"2022-08-02T00:00:00\",\"2022-08-03T00:00:00\",\"2022-08-04T00:00:00\",\"2022-08-05T00:00:00\",\"2022-08-08T00:00:00\",\"2022-08-09T00:00:00\",\"2022-08-10T00:00:00\",\"2022-08-11T00:00:00\",\"2022-08-12T00:00:00\",\"2022-08-15T00:00:00\",\"2022-08-16T00:00:00\",\"2022-08-17T00:00:00\",\"2022-08-18T00:00:00\",\"2022-08-19T00:00:00\",\"2022-08-22T00:00:00\",\"2022-08-23T00:00:00\",\"2022-08-24T00:00:00\",\"2022-08-25T00:00:00\",\"2022-08-26T00:00:00\",\"2022-08-29T00:00:00\",\"2022-08-30T00:00:00\",\"2022-08-31T00:00:00\",\"2022-09-01T00:00:00\",\"2022-09-02T00:00:00\",\"2022-09-06T00:00:00\",\"2022-09-07T00:00:00\",\"2022-09-08T00:00:00\",\"2022-09-09T00:00:00\",\"2022-09-12T00:00:00\",\"2022-09-13T00:00:00\",\"2022-09-14T00:00:00\",\"2022-09-15T00:00:00\",\"2022-09-16T00:00:00\",\"2022-09-19T00:00:00\",\"2022-09-20T00:00:00\",\"2022-09-21T00:00:00\",\"2022-09-22T00:00:00\",\"2022-09-23T00:00:00\",\"2022-09-26T00:00:00\",\"2022-09-27T00:00:00\",\"2022-09-28T00:00:00\",\"2022-09-29T00:00:00\",\"2022-09-30T00:00:00\",\"2022-10-03T00:00:00\",\"2022-10-04T00:00:00\",\"2022-10-05T00:00:00\",\"2022-10-06T00:00:00\",\"2022-10-07T00:00:00\",\"2022-10-10T00:00:00\",\"2022-10-11T00:00:00\",\"2022-10-12T00:00:00\",\"2022-10-13T00:00:00\",\"2022-10-14T00:00:00\",\"2022-10-17T00:00:00\",\"2022-10-18T00:00:00\",\"2022-10-19T00:00:00\",\"2022-10-20T00:00:00\",\"2022-10-21T00:00:00\",\"2022-10-24T00:00:00\",\"2022-10-25T00:00:00\",\"2022-10-26T00:00:00\",\"2022-10-27T00:00:00\",\"2022-10-28T00:00:00\",\"2022-10-31T00:00:00\",\"2022-11-01T00:00:00\",\"2022-11-02T00:00:00\",\"2022-11-03T00:00:00\",\"2022-11-04T00:00:00\",\"2022-11-07T00:00:00\",\"2022-11-08T00:00:00\",\"2022-11-09T00:00:00\",\"2022-11-10T00:00:00\",\"2022-11-11T00:00:00\",\"2022-11-14T00:00:00\",\"2022-11-15T00:00:00\",\"2022-11-16T00:00:00\",\"2022-11-17T00:00:00\",\"2022-11-18T00:00:00\",\"2022-11-21T00:00:00\",\"2022-11-22T00:00:00\",\"2022-11-23T00:00:00\",\"2022-11-25T00:00:00\",\"2022-11-28T00:00:00\",\"2022-11-29T00:00:00\",\"2022-11-30T00:00:00\",\"2022-12-01T00:00:00\",\"2022-12-02T00:00:00\",\"2022-12-05T00:00:00\",\"2022-12-06T00:00:00\",\"2022-12-07T00:00:00\",\"2022-12-08T00:00:00\",\"2022-12-09T00:00:00\",\"2022-12-12T00:00:00\",\"2022-12-13T00:00:00\",\"2022-12-14T00:00:00\",\"2022-12-15T00:00:00\",\"2022-12-16T00:00:00\",\"2022-12-19T00:00:00\",\"2022-12-20T00:00:00\",\"2022-12-21T00:00:00\",\"2022-12-22T00:00:00\",\"2022-12-23T00:00:00\",\"2022-12-27T00:00:00\",\"2022-12-28T00:00:00\",\"2022-12-29T00:00:00\",\"2022-12-30T00:00:00\",\"2023-01-03T00:00:00\",\"2023-01-04T00:00:00\",\"2023-01-05T00:00:00\",\"2023-01-06T00:00:00\",\"2023-01-09T00:00:00\",\"2023-01-10T00:00:00\",\"2023-01-11T00:00:00\",\"2023-01-12T00:00:00\",\"2023-01-13T00:00:00\",\"2023-01-17T00:00:00\",\"2023-01-18T00:00:00\",\"2023-01-19T00:00:00\",\"2023-01-20T00:00:00\",\"2023-01-23T00:00:00\",\"2023-01-24T00:00:00\",\"2023-01-25T00:00:00\",\"2023-01-26T00:00:00\",\"2023-01-27T00:00:00\",\"2023-01-30T00:00:00\",\"2023-01-31T00:00:00\",\"2023-02-01T00:00:00\",\"2023-02-02T00:00:00\",\"2023-02-03T00:00:00\",\"2023-02-06T00:00:00\",\"2023-02-07T00:00:00\",\"2023-02-08T00:00:00\",\"2023-02-09T00:00:00\",\"2023-02-10T00:00:00\",\"2023-02-13T00:00:00\",\"2023-02-14T00:00:00\",\"2023-02-15T00:00:00\",\"2023-02-16T00:00:00\",\"2023-02-17T00:00:00\",\"2023-02-21T00:00:00\",\"2023-02-22T00:00:00\",\"2023-02-23T00:00:00\",\"2023-02-24T00:00:00\",\"2023-02-27T00:00:00\",\"2023-02-28T00:00:00\",\"2023-03-01T00:00:00\",\"2023-03-02T00:00:00\",\"2023-03-03T00:00:00\",\"2023-03-06T00:00:00\",\"2023-03-07T00:00:00\",\"2023-03-08T00:00:00\",\"2023-03-09T00:00:00\",\"2023-03-10T00:00:00\",\"2023-03-13T00:00:00\",\"2023-03-14T00:00:00\",\"2023-03-15T00:00:00\",\"2023-03-16T00:00:00\",\"2023-03-17T00:00:00\",\"2023-03-20T00:00:00\",\"2023-03-21T00:00:00\",\"2023-03-22T00:00:00\",\"2023-03-23T00:00:00\",\"2023-03-24T00:00:00\",\"2023-03-27T00:00:00\",\"2023-03-28T00:00:00\",\"2023-03-29T00:00:00\",\"2023-03-30T00:00:00\",\"2023-03-31T00:00:00\",\"2023-04-03T00:00:00\",\"2023-04-04T00:00:00\",\"2023-04-05T00:00:00\",\"2023-04-06T00:00:00\",\"2023-04-10T00:00:00\",\"2023-04-11T00:00:00\",\"2023-04-12T00:00:00\",\"2023-04-13T00:00:00\",\"2023-04-14T00:00:00\",\"2023-04-17T00:00:00\",\"2023-04-18T00:00:00\",\"2023-04-19T00:00:00\",\"2023-04-20T00:00:00\",\"2023-04-21T00:00:00\",\"2023-04-24T00:00:00\",\"2023-04-25T00:00:00\",\"2023-04-26T00:00:00\",\"2023-04-27T00:00:00\",\"2023-04-28T00:00:00\",\"2023-05-01T00:00:00\",\"2023-05-02T00:00:00\",\"2023-05-03T00:00:00\",\"2023-05-04T00:00:00\",\"2023-05-05T00:00:00\",\"2023-05-08T00:00:00\",\"2023-05-09T00:00:00\",\"2023-05-10T00:00:00\",\"2023-05-11T00:00:00\",\"2023-05-12T00:00:00\",\"2023-05-15T00:00:00\",\"2023-05-16T00:00:00\",\"2023-05-17T00:00:00\",\"2023-05-18T00:00:00\",\"2023-05-19T00:00:00\",\"2023-05-22T00:00:00\",\"2023-05-23T00:00:00\",\"2023-05-24T00:00:00\",\"2023-05-25T00:00:00\",\"2023-05-26T00:00:00\",\"2023-05-30T00:00:00\",\"2023-05-31T00:00:00\",\"2023-06-01T00:00:00\",\"2023-06-02T00:00:00\",\"2023-06-05T00:00:00\",\"2023-06-06T00:00:00\",\"2023-06-07T00:00:00\",\"2023-06-08T00:00:00\",\"2023-06-09T00:00:00\",\"2023-06-12T00:00:00\",\"2023-06-13T00:00:00\",\"2023-06-14T00:00:00\",\"2023-06-15T00:00:00\",\"2023-06-16T00:00:00\"],\"xaxis\":\"x\",\"yaxis\":\"y\",\"type\":\"candlestick\"},{\"marker\":{\"color\":[\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#e4003a\",\"#00ACFF\",\"#e4003a\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#00ACFF\",\"#e4003a\"],\"line\":{\"width\":0.15}},\"name\":\"Volume\",\"opacity\":0.7,\"x\":[\"2020-06-15T00:00:00\",\"2020-06-16T00:00:00\",\"2020-06-17T00:00:00\",\"2020-06-18T00:00:00\",\"2020-06-19T00:00:00\",\"2020-06-22T00:00:00\",\"2020-06-23T00:00:00\",\"2020-06-24T00:00:00\",\"2020-06-25T00:00:00\",\"2020-06-26T00:00:00\",\"2020-06-29T00:00:00\",\"2020-06-30T00:00:00\",\"2020-07-01T00:00:00\",\"2020-07-02T00:00:00\",\"2020-07-06T00:00:00\",\"2020-07-07T00:00:00\",\"2020-07-08T00:00:00\",\"2020-07-09T00:00:00\",\"2020-07-10T00:00:00\",\"2020-07-13T00:00:00\",\"2020-07-14T00:00:00\",\"2020-07-15T00:00:00\",\"2020-07-16T00:00:00\",\"2020-07-17T00:00:00\",\"2020-07-20T00:00:00\",\"2020-07-21T00:00:00\",\"2020-07-22T00:00:00\",\"2020-07-23T00:00:00\",\"2020-07-24T00:00:00\",\"2020-07-27T00:00:00\",\"2020-07-28T00:00:00\",\"2020-07-29T00:00:00\",\"2020-07-30T00:00:00\",\"2020-07-31T00:00:00\",\"2020-08-03T00:00:00\",\"2020-08-04T00:00:00\",\"2020-08-05T00:00:00\",\"2020-08-06T00:00:00\",\"2020-08-07T00:00:00\",\"2020-08-10T00:00:00\",\"2020-08-11T00:00:00\",\"2020-08-12T00:00:00\",\"2020-08-13T00:00:00\",\"2020-08-14T00:00:00\",\"2020-08-17T00:00:00\",\"2020-08-18T00:00:00\",\"2020-08-19T00:00:00\",\"2020-08-20T00:00:00\",\"2020-08-21T00:00:00\",\"2020-08-24T00:00:00\",\"2020-08-25T00:00:00\",\"2020-08-26T00:00:00\",\"2020-08-27T00:00:00\",\"2020-08-28T00:00:00\",\"2020-08-31T00:00:00\",\"2020-09-01T00:00:00\",\"2020-09-02T00:00:00\",\"2020-09-03T00:00:00\",\"2020-09-04T00:00:00\",\"2020-09-08T00:00:00\",\"2020-09-09T00:00:00\",\"2020-09-10T00:00:00\",\"2020-09-11T00:00:00\",\"2020-09-14T00:00:00\",\"2020-09-15T00:00:00\",\"2020-09-16T00:00:00\",\"2020-09-17T00:00:00\",\"2020-09-18T00:00:00\",\"2020-09-21T00:00:00\",\"2020-09-22T00:00:00\",\"2020-09-23T00:00:00\",\"2020-09-24T00:00:00\",\"2020-09-25T00:00:00\",\"2020-09-28T00:00:00\",\"2020-09-29T00:00:00\",\"2020-09-30T00:00:00\",\"2020-10-01T00:00:00\",\"2020-10-02T00:00:00\",\"2020-10-05T00:00:00\",\"2020-10-06T00:00:00\",\"2020-10-07T00:00:00\",\"2020-10-08T00:00:00\",\"2020-10-09T00:00:00\",\"2020-10-12T00:00:00\",\"2020-10-13T00:00:00\",\"2020-10-14T00:00:00\",\"2020-10-15T00:00:00\",\"2020-10-16T00:00:00\",\"2020-10-19T00:00:00\",\"2020-10-20T00:00:00\",\"2020-10-21T00:00:00\",\"2020-10-22T00:00:00\",\"2020-10-23T00:00:00\",\"2020-10-26T00:00:00\",\"2020-10-27T00:00:00\",\"2020-10-28T00:00:00\",\"2020-10-29T00:00:00\",\"2020-10-30T00:00:00\",\"2020-11-02T00:00:00\",\"2020-11-03T00:00:00\",\"2020-11-04T00:00:00\",\"2020-11-05T00:00:00\",\"2020-11-06T00:00:00\",\"2020-11-09T00:00:00\",\"2020-11-10T00:00:00\",\"2020-11-11T00:00:00\",\"2020-11-12T00:00:00\",\"2020-11-13T00:00:00\",\"2020-11-16T00:00:00\",\"2020-11-17T00:00:00\",\"2020-11-18T00:00:00\",\"2020-11-19T00:00:00\",\"2020-11-20T00:00:00\",\"2020-11-23T00:00:00\",\"2020-11-24T00:00:00\",\"2020-11-25T00:00:00\",\"2020-11-27T00:00:00\",\"2020-11-30T00:00:00\",\"2020-12-01T00:00:00\",\"2020-12-02T00:00:00\",\"2020-12-03T00:00:00\",\"2020-12-04T00:00:00\",\"2020-12-07T00:00:00\",\"2020-12-08T00:00:00\",\"2020-12-09T00:00:00\",\"2020-12-10T00:00:00\",\"2020-12-11T00:00:00\",\"2020-12-14T00:00:00\",\"2020-12-15T00:00:00\",\"2020-12-16T00:00:00\",\"2020-12-17T00:00:00\",\"2020-12-18T00:00:00\",\"2020-12-21T00:00:00\",\"2020-12-22T00:00:00\",\"2020-12-23T00:00:00\",\"2020-12-24T00:00:00\",\"2020-12-28T00:00:00\",\"2020-12-29T00:00:00\",\"2020-12-30T00:00:00\",\"2020-12-31T00:00:00\",\"2021-01-04T00:00:00\",\"2021-01-05T00:00:00\",\"2021-01-06T00:00:00\",\"2021-01-07T00:00:00\",\"2021-01-08T00:00:00\",\"2021-01-11T00:00:00\",\"2021-01-12T00:00:00\",\"2021-01-13T00:00:00\",\"2021-01-14T00:00:00\",\"2021-01-15T00:00:00\",\"2021-01-19T00:00:00\",\"2021-01-20T00:00:00\",\"2021-01-21T00:00:00\",\"2021-01-22T00:00:00\",\"2021-01-25T00:00:00\",\"2021-01-26T00:00:00\",\"2021-01-27T00:00:00\",\"2021-01-28T00:00:00\",\"2021-01-29T00:00:00\",\"2021-02-01T00:00:00\",\"2021-02-02T00:00:00\",\"2021-02-03T00:00:00\",\"2021-02-04T00:00:00\",\"2021-02-05T00:00:00\",\"2021-02-08T00:00:00\",\"2021-02-09T00:00:00\",\"2021-02-10T00:00:00\",\"2021-02-11T00:00:00\",\"2021-02-12T00:00:00\",\"2021-02-16T00:00:00\",\"2021-02-17T00:00:00\",\"2021-02-18T00:00:00\",\"2021-02-19T00:00:00\",\"2021-02-22T00:00:00\",\"2021-02-23T00:00:00\",\"2021-02-24T00:00:00\",\"2021-02-25T00:00:00\",\"2021-02-26T00:00:00\",\"2021-03-01T00:00:00\",\"2021-03-02T00:00:00\",\"2021-03-03T00:00:00\",\"2021-03-04T00:00:00\",\"2021-03-05T00:00:00\",\"2021-03-08T00:00:00\",\"2021-03-09T00:00:00\",\"2021-03-10T00:00:00\",\"2021-03-11T00:00:00\",\"2021-03-12T00:00:00\",\"2021-03-15T00:00:00\",\"2021-03-16T00:00:00\",\"2021-03-17T00:00:00\",\"2021-03-18T00:00:00\",\"2021-03-19T00:00:00\",\"2021-03-22T00:00:00\",\"2021-03-23T00:00:00\",\"2021-03-24T00:00:00\",\"2021-03-25T00:00:00\",\"2021-03-26T00:00:00\",\"2021-03-29T00:00:00\",\"2021-03-30T00:00:00\",\"2021-03-31T00:00:00\",\"2021-04-01T00:00:00\",\"2021-04-05T00:00:00\",\"2021-04-06T00:00:00\",\"2021-04-07T00:00:00\",\"2021-04-08T00:00:00\",\"2021-04-09T00:00:00\",\"2021-04-12T00:00:00\",\"2021-04-13T00:00:00\",\"2021-04-14T00:00:00\",\"2021-04-15T00:00:00\",\"2021-04-16T00:00:00\",\"2021-04-19T00:00:00\",\"2021-04-20T00:00:00\",\"2021-04-21T00:00:00\",\"2021-04-22T00:00:00\",\"2021-04-23T00:00:00\",\"2021-04-26T00:00:00\",\"2021-04-27T00:00:00\",\"2021-04-28T00:00:00\",\"2021-04-29T00:00:00\",\"2021-04-30T00:00:00\",\"2021-05-03T00:00:00\",\"2021-05-04T00:00:00\",\"2021-05-05T00:00:00\",\"2021-05-06T00:00:00\",\"2021-05-07T00:00:00\",\"2021-05-10T00:00:00\",\"2021-05-11T00:00:00\",\"2021-05-12T00:00:00\",\"2021-05-13T00:00:00\",\"2021-05-14T00:00:00\",\"2021-05-17T00:00:00\",\"2021-05-18T00:00:00\",\"2021-05-19T00:00:00\",\"2021-05-20T00:00:00\",\"2021-05-21T00:00:00\",\"2021-05-24T00:00:00\",\"2021-05-25T00:00:00\",\"2021-05-26T00:00:00\",\"2021-05-27T00:00:00\",\"2021-05-28T00:00:00\",\"2021-06-01T00:00:00\",\"2021-06-02T00:00:00\",\"2021-06-03T00:00:00\",\"2021-06-04T00:00:00\",\"2021-06-07T00:00:00\",\"2021-06-08T00:00:00\",\"2021-06-09T00:00:00\",\"2021-06-10T00:00:00\",\"2021-06-11T00:00:00\",\"2021-06-14T00:00:00\",\"2021-06-15T00:00:00\",\"2021-06-16T00:00:00\",\"2021-06-17T00:00:00\",\"2021-06-18T00:00:00\",\"2021-06-21T00:00:00\",\"2021-06-22T00:00:00\",\"2021-06-23T00:00:00\",\"2021-06-24T00:00:00\",\"2021-06-25T00:00:00\",\"2021-06-28T00:00:00\",\"2021-06-29T00:00:00\",\"2021-06-30T00:00:00\",\"2021-07-01T00:00:00\",\"2021-07-02T00:00:00\",\"2021-07-06T00:00:00\",\"2021-07-07T00:00:00\",\"2021-07-08T00:00:00\",\"2021-07-09T00:00:00\",\"2021-07-12T00:00:00\",\"2021-07-13T00:00:00\",\"2021-07-14T00:00:00\",\"2021-07-15T00:00:00\",\"2021-07-16T00:00:00\",\"2021-07-19T00:00:00\",\"2021-07-20T00:00:00\",\"2021-07-21T00:00:00\",\"2021-07-22T00:00:00\",\"2021-07-23T00:00:00\",\"2021-07-26T00:00:00\",\"2021-07-27T00:00:00\",\"2021-07-28T00:00:00\",\"2021-07-29T00:00:00\",\"2021-07-30T00:00:00\",\"2021-08-02T00:00:00\",\"2021-08-03T00:00:00\",\"2021-08-04T00:00:00\",\"2021-08-05T00:00:00\",\"2021-08-06T00:00:00\",\"2021-08-09T00:00:00\",\"2021-08-10T00:00:00\",\"2021-08-11T00:00:00\",\"2021-08-12T00:00:00\",\"2021-08-13T00:00:00\",\"2021-08-16T00:00:00\",\"2021-08-17T00:00:00\",\"2021-08-18T00:00:00\",\"2021-08-19T00:00:00\",\"2021-08-20T00:00:00\",\"2021-08-23T00:00:00\",\"2021-08-24T00:00:00\",\"2021-08-25T00:00:00\",\"2021-08-26T00:00:00\",\"2021-08-27T00:00:00\",\"2021-08-30T00:00:00\",\"2021-08-31T00:00:00\",\"2021-09-01T00:00:00\",\"2021-09-02T00:00:00\",\"2021-09-03T00:00:00\",\"2021-09-07T00:00:00\",\"2021-09-08T00:00:00\",\"2021-09-09T00:00:00\",\"2021-09-10T00:00:00\",\"2021-09-13T00:00:00\",\"2021-09-14T00:00:00\",\"2021-09-15T00:00:00\",\"2021-09-16T00:00:00\",\"2021-09-17T00:00:00\",\"2021-09-20T00:00:00\",\"2021-09-21T00:00:00\",\"2021-09-22T00:00:00\",\"2021-09-23T00:00:00\",\"2021-09-24T00:00:00\",\"2021-09-27T00:00:00\",\"2021-09-28T00:00:00\",\"2021-09-29T00:00:00\",\"2021-09-30T00:00:00\",\"2021-10-01T00:00:00\",\"2021-10-04T00:00:00\",\"2021-10-05T00:00:00\",\"2021-10-06T00:00:00\",\"2021-10-07T00:00:00\",\"2021-10-08T00:00:00\",\"2021-10-11T00:00:00\",\"2021-10-12T00:00:00\",\"2021-10-13T00:00:00\",\"2021-10-14T00:00:00\",\"2021-10-15T00:00:00\",\"2021-10-18T00:00:00\",\"2021-10-19T00:00:00\",\"2021-10-20T00:00:00\",\"2021-10-21T00:00:00\",\"2021-10-22T00:00:00\",\"2021-10-25T00:00:00\",\"2021-10-26T00:00:00\",\"2021-10-27T00:00:00\",\"2021-10-28T00:00:00\",\"2021-10-29T00:00:00\",\"2021-11-01T00:00:00\",\"2021-11-02T00:00:00\",\"2021-11-03T00:00:00\",\"2021-11-04T00:00:00\",\"2021-11-05T00:00:00\",\"2021-11-08T00:00:00\",\"2021-11-09T00:00:00\",\"2021-11-10T00:00:00\",\"2021-11-11T00:00:00\",\"2021-11-12T00:00:00\",\"2021-11-15T00:00:00\",\"2021-11-16T00:00:00\",\"2021-11-17T00:00:00\",\"2021-11-18T00:00:00\",\"2021-11-19T00:00:00\",\"2021-11-22T00:00:00\",\"2021-11-23T00:00:00\",\"2021-11-24T00:00:00\",\"2021-11-26T00:00:00\",\"2021-11-29T00:00:00\",\"2021-11-30T00:00:00\",\"2021-12-01T00:00:00\",\"2021-12-02T00:00:00\",\"2021-12-03T00:00:00\",\"2021-12-06T00:00:00\",\"2021-12-07T00:00:00\",\"2021-12-08T00:00:00\",\"2021-12-09T00:00:00\",\"2021-12-10T00:00:00\",\"2021-12-13T00:00:00\",\"2021-12-14T00:00:00\",\"2021-12-15T00:00:00\",\"2021-12-16T00:00:00\",\"2021-12-17T00:00:00\",\"2021-12-20T00:00:00\",\"2021-12-21T00:00:00\",\"2021-12-22T00:00:00\",\"2021-12-23T00:00:00\",\"2021-12-27T00:00:00\",\"2021-12-28T00:00:00\",\"2021-12-29T00:00:00\",\"2021-12-30T00:00:00\",\"2021-12-31T00:00:00\",\"2022-01-03T00:00:00\",\"2022-01-04T00:00:00\",\"2022-01-05T00:00:00\",\"2022-01-06T00:00:00\",\"2022-01-07T00:00:00\",\"2022-01-10T00:00:00\",\"2022-01-11T00:00:00\",\"2022-01-12T00:00:00\",\"2022-01-13T00:00:00\",\"2022-01-14T00:00:00\",\"2022-01-18T00:00:00\",\"2022-01-19T00:00:00\",\"2022-01-20T00:00:00\",\"2022-01-21T00:00:00\",\"2022-01-24T00:00:00\",\"2022-01-25T00:00:00\",\"2022-01-26T00:00:00\",\"2022-01-27T00:00:00\",\"2022-01-28T00:00:00\",\"2022-01-31T00:00:00\",\"2022-02-01T00:00:00\",\"2022-02-02T00:00:00\",\"2022-02-03T00:00:00\",\"2022-02-04T00:00:00\",\"2022-02-07T00:00:00\",\"2022-02-08T00:00:00\",\"2022-02-09T00:00:00\",\"2022-02-10T00:00:00\",\"2022-02-11T00:00:00\",\"2022-02-14T00:00:00\",\"2022-02-15T00:00:00\",\"2022-02-16T00:00:00\",\"2022-02-17T00:00:00\",\"2022-02-18T00:00:00\",\"2022-02-22T00:00:00\",\"2022-02-23T00:00:00\",\"2022-02-24T00:00:00\",\"2022-02-25T00:00:00\",\"2022-02-28T00:00:00\",\"2022-03-01T00:00:00\",\"2022-03-02T00:00:00\",\"2022-03-03T00:00:00\",\"2022-03-04T00:00:00\",\"2022-03-07T00:00:00\",\"2022-03-08T00:00:00\",\"2022-03-09T00:00:00\",\"2022-03-10T00:00:00\",\"2022-03-11T00:00:00\",\"2022-03-14T00:00:00\",\"2022-03-15T00:00:00\",\"2022-03-16T00:00:00\",\"2022-03-17T00:00:00\",\"2022-03-18T00:00:00\",\"2022-03-21T00:00:00\",\"2022-03-22T00:00:00\",\"2022-03-23T00:00:00\",\"2022-03-24T00:00:00\",\"2022-03-25T00:00:00\",\"2022-03-28T00:00:00\",\"2022-03-29T00:00:00\",\"2022-03-30T00:00:00\",\"2022-03-31T00:00:00\",\"2022-04-01T00:00:00\",\"2022-04-04T00:00:00\",\"2022-04-05T00:00:00\",\"2022-04-06T00:00:00\",\"2022-04-07T00:00:00\",\"2022-04-08T00:00:00\",\"2022-04-11T00:00:00\",\"2022-04-12T00:00:00\",\"2022-04-13T00:00:00\",\"2022-04-14T00:00:00\",\"2022-04-18T00:00:00\",\"2022-04-19T00:00:00\",\"2022-04-20T00:00:00\",\"2022-04-21T00:00:00\",\"2022-04-22T00:00:00\",\"2022-04-25T00:00:00\",\"2022-04-26T00:00:00\",\"2022-04-27T00:00:00\",\"2022-04-28T00:00:00\",\"2022-04-29T00:00:00\",\"2022-05-02T00:00:00\",\"2022-05-03T00:00:00\",\"2022-05-04T00:00:00\",\"2022-05-05T00:00:00\",\"2022-05-06T00:00:00\",\"2022-05-09T00:00:00\",\"2022-05-10T00:00:00\",\"2022-05-11T00:00:00\",\"2022-05-12T00:00:00\",\"2022-05-13T00:00:00\",\"2022-05-16T00:00:00\",\"2022-05-17T00:00:00\",\"2022-05-18T00:00:00\",\"2022-05-19T00:00:00\",\"2022-05-20T00:00:00\",\"2022-05-23T00:00:00\",\"2022-05-24T00:00:00\",\"2022-05-25T00:00:00\",\"2022-05-26T00:00:00\",\"2022-05-27T00:00:00\",\"2022-05-31T00:00:00\",\"2022-06-01T00:00:00\",\"2022-06-02T00:00:00\",\"2022-06-03T00:00:00\",\"2022-06-06T00:00:00\",\"2022-06-07T00:00:00\",\"2022-06-08T00:00:00\",\"2022-06-09T00:00:00\",\"2022-06-10T00:00:00\",\"2022-06-13T00:00:00\",\"2022-06-14T00:00:00\",\"2022-06-15T00:00:00\",\"2022-06-16T00:00:00\",\"2022-06-17T00:00:00\",\"2022-06-21T00:00:00\",\"2022-06-22T00:00:00\",\"2022-06-23T00:00:00\",\"2022-06-24T00:00:00\",\"2022-06-27T00:00:00\",\"2022-06-28T00:00:00\",\"2022-06-29T00:00:00\",\"2022-06-30T00:00:00\",\"2022-07-01T00:00:00\",\"2022-07-05T00:00:00\",\"2022-07-06T00:00:00\",\"2022-07-07T00:00:00\",\"2022-07-08T00:00:00\",\"2022-07-11T00:00:00\",\"2022-07-12T00:00:00\",\"2022-07-13T00:00:00\",\"2022-07-14T00:00:00\",\"2022-07-15T00:00:00\",\"2022-07-18T00:00:00\",\"2022-07-19T00:00:00\",\"2022-07-20T00:00:00\",\"2022-07-21T00:00:00\",\"2022-07-22T00:00:00\",\"2022-07-25T00:00:00\",\"2022-07-26T00:00:00\",\"2022-07-27T00:00:00\",\"2022-07-28T00:00:00\",\"2022-07-29T00:00:00\",\"2022-08-01T00:00:00\",\"2022-08-02T00:00:00\",\"2022-08-03T00:00:00\",\"2022-08-04T00:00:00\",\"2022-08-05T00:00:00\",\"2022-08-08T00:00:00\",\"2022-08-09T00:00:00\",\"2022-08-10T00:00:00\",\"2022-08-11T00:00:00\",\"2022-08-12T00:00:00\",\"2022-08-15T00:00:00\",\"2022-08-16T00:00:00\",\"2022-08-17T00:00:00\",\"2022-08-18T00:00:00\",\"2022-08-19T00:00:00\",\"2022-08-22T00:00:00\",\"2022-08-23T00:00:00\",\"2022-08-24T00:00:00\",\"2022-08-25T00:00:00\",\"2022-08-26T00:00:00\",\"2022-08-29T00:00:00\",\"2022-08-30T00:00:00\",\"2022-08-31T00:00:00\",\"2022-09-01T00:00:00\",\"2022-09-02T00:00:00\",\"2022-09-06T00:00:00\",\"2022-09-07T00:00:00\",\"2022-09-08T00:00:00\",\"2022-09-09T00:00:00\",\"2022-09-12T00:00:00\",\"2022-09-13T00:00:00\",\"2022-09-14T00:00:00\",\"2022-09-15T00:00:00\",\"2022-09-16T00:00:00\",\"2022-09-19T00:00:00\",\"2022-09-20T00:00:00\",\"2022-09-21T00:00:00\",\"2022-09-22T00:00:00\",\"2022-09-23T00:00:00\",\"2022-09-26T00:00:00\",\"2022-09-27T00:00:00\",\"2022-09-28T00:00:00\",\"2022-09-29T00:00:00\",\"2022-09-30T00:00:00\",\"2022-10-03T00:00:00\",\"2022-10-04T00:00:00\",\"2022-10-05T00:00:00\",\"2022-10-06T00:00:00\",\"2022-10-07T00:00:00\",\"2022-10-10T00:00:00\",\"2022-10-11T00:00:00\",\"2022-10-12T00:00:00\",\"2022-10-13T00:00:00\",\"2022-10-14T00:00:00\",\"2022-10-17T00:00:00\",\"2022-10-18T00:00:00\",\"2022-10-19T00:00:00\",\"2022-10-20T00:00:00\",\"2022-10-21T00:00:00\",\"2022-10-24T00:00:00\",\"2022-10-25T00:00:00\",\"2022-10-26T00:00:00\",\"2022-10-27T00:00:00\",\"2022-10-28T00:00:00\",\"2022-10-31T00:00:00\",\"2022-11-01T00:00:00\",\"2022-11-02T00:00:00\",\"2022-11-03T00:00:00\",\"2022-11-04T00:00:00\",\"2022-11-07T00:00:00\",\"2022-11-08T00:00:00\",\"2022-11-09T00:00:00\",\"2022-11-10T00:00:00\",\"2022-11-11T00:00:00\",\"2022-11-14T00:00:00\",\"2022-11-15T00:00:00\",\"2022-11-16T00:00:00\",\"2022-11-17T00:00:00\",\"2022-11-18T00:00:00\",\"2022-11-21T00:00:00\",\"2022-11-22T00:00:00\",\"2022-11-23T00:00:00\",\"2022-11-25T00:00:00\",\"2022-11-28T00:00:00\",\"2022-11-29T00:00:00\",\"2022-11-30T00:00:00\",\"2022-12-01T00:00:00\",\"2022-12-02T00:00:00\",\"2022-12-05T00:00:00\",\"2022-12-06T00:00:00\",\"2022-12-07T00:00:00\",\"2022-12-08T00:00:00\",\"2022-12-09T00:00:00\",\"2022-12-12T00:00:00\",\"2022-12-13T00:00:00\",\"2022-12-14T00:00:00\",\"2022-12-15T00:00:00\",\"2022-12-16T00:00:00\",\"2022-12-19T00:00:00\",\"2022-12-20T00:00:00\",\"2022-12-21T00:00:00\",\"2022-12-22T00:00:00\",\"2022-12-23T00:00:00\",\"2022-12-27T00:00:00\",\"2022-12-28T00:00:00\",\"2022-12-29T00:00:00\",\"2022-12-30T00:00:00\",\"2023-01-03T00:00:00\",\"2023-01-04T00:00:00\",\"2023-01-05T00:00:00\",\"2023-01-06T00:00:00\",\"2023-01-09T00:00:00\",\"2023-01-10T00:00:00\",\"2023-01-11T00:00:00\",\"2023-01-12T00:00:00\",\"2023-01-13T00:00:00\",\"2023-01-17T00:00:00\",\"2023-01-18T00:00:00\",\"2023-01-19T00:00:00\",\"2023-01-20T00:00:00\",\"2023-01-23T00:00:00\",\"2023-01-24T00:00:00\",\"2023-01-25T00:00:00\",\"2023-01-26T00:00:00\",\"2023-01-27T00:00:00\",\"2023-01-30T00:00:00\",\"2023-01-31T00:00:00\",\"2023-02-01T00:00:00\",\"2023-02-02T00:00:00\",\"2023-02-03T00:00:00\",\"2023-02-06T00:00:00\",\"2023-02-07T00:00:00\",\"2023-02-08T00:00:00\",\"2023-02-09T00:00:00\",\"2023-02-10T00:00:00\",\"2023-02-13T00:00:00\",\"2023-02-14T00:00:00\",\"2023-02-15T00:00:00\",\"2023-02-16T00:00:00\",\"2023-02-17T00:00:00\",\"2023-02-21T00:00:00\",\"2023-02-22T00:00:00\",\"2023-02-23T00:00:00\",\"2023-02-24T00:00:00\",\"2023-02-27T00:00:00\",\"2023-02-28T00:00:00\",\"2023-03-01T00:00:00\",\"2023-03-02T00:00:00\",\"2023-03-03T00:00:00\",\"2023-03-06T00:00:00\",\"2023-03-07T00:00:00\",\"2023-03-08T00:00:00\",\"2023-03-09T00:00:00\",\"2023-03-10T00:00:00\",\"2023-03-13T00:00:00\",\"2023-03-14T00:00:00\",\"2023-03-15T00:00:00\",\"2023-03-16T00:00:00\",\"2023-03-17T00:00:00\",\"2023-03-20T00:00:00\",\"2023-03-21T00:00:00\",\"2023-03-22T00:00:00\",\"2023-03-23T00:00:00\",\"2023-03-24T00:00:00\",\"2023-03-27T00:00:00\",\"2023-03-28T00:00:00\",\"2023-03-29T00:00:00\",\"2023-03-30T00:00:00\",\"2023-03-31T00:00:00\",\"2023-04-03T00:00:00\",\"2023-04-04T00:00:00\",\"2023-04-05T00:00:00\",\"2023-04-06T00:00:00\",\"2023-04-10T00:00:00\",\"2023-04-11T00:00:00\",\"2023-04-12T00:00:00\",\"2023-04-13T00:00:00\",\"2023-04-14T00:00:00\",\"2023-04-17T00:00:00\",\"2023-04-18T00:00:00\",\"2023-04-19T00:00:00\",\"2023-04-20T00:00:00\",\"2023-04-21T00:00:00\",\"2023-04-24T00:00:00\",\"2023-04-25T00:00:00\",\"2023-04-26T00:00:00\",\"2023-04-27T00:00:00\",\"2023-04-28T00:00:00\",\"2023-05-01T00:00:00\",\"2023-05-02T00:00:00\",\"2023-05-03T00:00:00\",\"2023-05-04T00:00:00\",\"2023-05-05T00:00:00\",\"2023-05-08T00:00:00\",\"2023-05-09T00:00:00\",\"2023-05-10T00:00:00\",\"2023-05-11T00:00:00\",\"2023-05-12T00:00:00\",\"2023-05-15T00:00:00\",\"2023-05-16T00:00:00\",\"2023-05-17T00:00:00\",\"2023-05-18T00:00:00\",\"2023-05-19T00:00:00\",\"2023-05-22T00:00:00\",\"2023-05-23T00:00:00\",\"2023-05-24T00:00:00\",\"2023-05-25T00:00:00\",\"2023-05-26T00:00:00\",\"2023-05-30T00:00:00\",\"2023-05-31T00:00:00\",\"2023-06-01T00:00:00\",\"2023-06-02T00:00:00\",\"2023-06-05T00:00:00\",\"2023-06-06T00:00:00\",\"2023-06-07T00:00:00\",\"2023-06-08T00:00:00\",\"2023-06-09T00:00:00\",\"2023-06-12T00:00:00\",\"2023-06-13T00:00:00\",\"2023-06-14T00:00:00\",\"2023-06-15T00:00:00\",\"2023-06-16T00:00:00\"],\"y\":[138808800,165428800,114406400,96820400,264476000,135445200,212155600,192623200,137522400,205256800,130646000,140223200,110737200,114041600,118655600,112424400,117092000,125642800,90257200,191649200,170989200,153198000,110577600,92186800,90318000,103433200,89001600,197004400,185438800,121214000,103625600,90329200,158130000,374336800,308151200,173071600,121776800,202428800,198045600,212403600,187902400,165598000,210082000,165565200,119561600,105633600,145538000,126907200,338054800,345937600,211495600,163022400,155552400,187630000,225702700,151948100,200119000,257599600,332607200,231366600,176940500,182274400,180860300,140150100,184642000,154679000,178011000,287104900,195713800,183055400,150718700,167743300,149981400,137672400,99382200,142675200,116120400,144712000,106243800,161498200,96849000,83477200,100506900,240226800,262330500,150712000,112559200,115393800,120639300,124423700,89946000,101988000,82572600,111850700,92276800,143937800,146129200,190272600,122866900,107624400,138235500,126387100,114457900,154515300,138023400,112295000,103162300,81581900,91183000,74271000,76322100,74113000,73604300,127959300,113874200,76499200,46691300,169410200,127728200,89004200,78967600,78260400,86712000,82225500,115089200,81312200,86939800,79184500,157243700,98208600,94359800,192541500,121251600,168904800,88223700,54930100,124486200,121047300,96452100,99116600,143301900,97664900,155088000,109578200,105158200,100384500,91951100,88636800,90221800,111598500,90757300,104319500,120150900,114459400,157611700,98390600,140843800,142621100,177523800,106239800,83305400,89880900,84183100,75693800,71297200,76774200,73046600,64280000,60145100,80576300,97918500,96856700,87668800,103916400,158273000,111039900,148199500,164560400,116307900,102260900,112966300,178155000,153766600,154376600,129525800,111943300,103026500,88105100,92403800,115227900,111932600,121229700,185549500,111912300,95467100,88530500,98844700,94071200,80819200,85671900,118323800,75089100,88651200,80171300,83466700,88844600,106686700,91420000,91266500,87222800,89347100,84922400,94264200,94812300,68847100,84566500,78657500,66905100,66015800,107760100,151101000,109839500,75135100,137564700,84000900,78128300,78973300,88071200,126142800,112172300,105861300,81918000,74244600,63342900,92612000,76857100,79295400,63092900,72009500,56575900,94625600,71311100,67637100,59278900,76229200,75169300,71057600,74403800,56877900,71186400,53522400,96906500,62746300,91815000,96721700,108953300,79663300,74783600,60214200,68711000,70783700,62111300,64556100,63261400,52485800,78852600,108181800,104911600,105575500,99890800,76299700,100827100,127050800,106820300,93251400,121434600,96350000,74993500,77338200,71447400,72434100,104818600,118931200,56699500,70440600,62880000,64786600,56368300,46397700,54126800,48908700,69023100,48493500,72282600,59375000,103296000,92229700,86326000,86960300,60549600,60131800,48606400,58991300,48597200,55802400,90956700,86453100,80313700,71115500,57808700,82278300,74420200,57305700,140893200,102404300,109296300,83281300,68034100,129868800,123478900,75834000,76404300,64838200,53477900,74150700,108972300,74602000,89056700,94639600,98322000,80861100,83221100,61732700,58773200,64452200,73035900,78762700,69907100,67940300,85589200,76378900,58418800,61421000,58883400,50720600,60893400,56094900,100077900,124953200,74588300,69122000,54511500,60394600,65463900,55020900,56787900,65187100,41000000,63804000,59222800,59256200,88807000,137827700,117305600,117467900,96041900,69463600,76959800,88748200,174048100,152052500,136739200,118023100,107497000,120405400,116998900,108923700,115402700,153237000,139380400,131063300,150185800,195432700,107499100,91185900,92135300,68356600,74919600,79144300,62348900,59773000,64062300,104487900,99310400,94537600,96904000,86709100,106765600,76138300,74805200,84505800,80440800,90956700,94815000,91420500,122848900,162294600,115798400,108275300,121954600,179935700,115541600,86213900,84914300,89418100,82465400,77251200,74829200,71285000,90865900,98670700,86185500,62527400,61177400,69589300,82772700,91162800,90009200,141147500,91974200,95056600,83474400,79724800,76678400,83737200,96418800,131148300,91454900,105342000,96970100,108732100,92964300,102300200,75615400,123511700,95811400,81532000,98062700,90131400,80546200,90371900,100589400,92633200,103049300,78751300,76468400,73401800,89058800,77594700,76575500,72246700,79265200,70618900,75329400,69023900,67723800,67929800,87227800,84882400,96046400,95623200,88063200,130216800,131747600,123055300,88966500,108256500,130525300,116124600,131577900,115366700,142689800,182602000,113990900,86643800,78336300,109742900,136095600,137426100,117726300,104132700,92482700,90601500,90978500,103718400,74286600,72348100,88570300,71598400,67808200,53950200,69473000,91437900,122207100,84784300,91533000,108123900,134520300,81000500,73409200,72433800,89116800,70207900,67083400,66242400,98964500,71051600,73353800,74064300,66253700,64547800,63141600,77588800,71185600,78140700,76259900,81420900,82982400,64823400,65086600,66675400,53623900,55138700,78620700,81378700,101786900,67829400,59907000,82507500,55474100,56697000,60276900,63135500,70170500,57149200,68039400,54091700,56377100,79542000,62290100,70346300,69026800,54147100,53841500,51218200,78961000,73314000,77906200,87991100,74229900,76957800,73714800,87449600,84923800,68028800,104956000,122656600,87965400,90481100,162278800,81474200,107689800,101696800,86652500,96029900,93339400,84442700,146691400,128138200,124925300,114311700,87830100,79471000,68402200,85925600,74899000,77033700,70433700,113224000,88598000,85250900,99136600,61758300,64522000,86548600,75981900,74732300,88194300,109180200,164762400,97943200,80379300,93604600,97918500,140814800,83374600,89908500,74917800,118854000,93979700,73374100,89868300,64218300,80389400,74829600,58724100,51804100,58301400,35195900,69246000,83763800,111380900,71250400,65447400,68826400,64727200,69721100,62128300,76097000,70462700,93886200,82291200,98931900,160156900,79592600,77432800,85928000,77852100,63814900,69007800,85438400,75703700,77034200,112117500,89113600,80962700,87754700,70790800,63896200,69458900,71379600,57809700,63646600,69672800,58280400,80223600,81760300,66435100,65799300,54105100,70555800,64015300,65874500,77663600,118339000,154357300,69858300,83322600,64120100,56007100,57450700,62199000,61707600,65573800,68167900,59144100,58867200,51011300,48394200,55469600,44998500,50547000,55479000,52238100,70732300,87558000,56182000,47204800,53833600,68572400,84457100,73695900,77167900,76161100,98944600,73641400,73938300,75701800,67622100,59196500,52390300,45992200,51305700,49501700,68749800,56976200,46278300,51511700,45390100,47716900,47644200,50133100,68445600,49386500,41516200,49923000,47720200,52456400,58337300,41949600,48714100,45498800,64902300,55209200,52472900,48425700,65136000,81235400,113316400,55962800,45326900,53724500,49514700,45497800,37266700,42110300,57951600,65496700,55772400,43570900,50747300,45143500,56058300,54835000,55964400,99625300,68901800,61945900,121946500,64848400,61944600,50214900,48870700,54274900,54929100,57462900,65433200,101235600],\"yaxis\":\"y2\",\"type\":\"bar\",\"xaxis\":\"x\",\"xhoverformat\":\"%Y-%m-%d\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}],\"candlestick\":[{\"decreasing\":{\"fillcolor\":\"#e4003a\",\"line\":{\"color\":\"#e4003a\"}},\"increasing\":{\"fillcolor\":\"#00ACFF\",\"line\":{\"color\":\"#00ACFF\"}},\"type\":\"candlestick\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1,\"showarrow\":false},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#ffed00\",\"#ef7d00\",\"#e4003a\",\"#c13246\",\"#822661\",\"#48277c\",\"#005ca9\",\"#00aaff\",\"#9b30d9\",\"#af005f\",\"#5f00af\",\"#af87ff\"],\"font\":{\"color\":\"#f2f5fa\",\"family\":\"Fira Code\",\"size\":18},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"x\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"#000000\",\"plot_bgcolor\":\"#000000\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#F5EFF3\",\"ticks\":\"outside\",\"title\":{\"standoff\":20},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2,\"autorange\":true,\"mirror\":true,\"rangeslider\":{\"visible\":false},\"showgrid\":true,\"showline\":true,\"tick0\":1,\"tickfont\":{\"size\":14},\"zeroline\":false},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#F5EFF3\",\"ticks\":\"outside\",\"title\":{\"standoff\":20},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2,\"anchor\":\"x\",\"fixedrange\":false,\"mirror\":true,\"showgrid\":true,\"showline\":true,\"side\":\"right\",\"tick0\":0.5,\"zeroline\":false},\"dragmode\":\"pan\",\"legend\":{\"bgcolor\":\"rgba(0, 0, 0, 0)\",\"font\":{\"size\":15},\"x\":0.01,\"xanchor\":\"left\",\"y\":0.99,\"yanchor\":\"top\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,0.94],\"rangebreaks\":[{\"bounds\":[\"sat\",\"mon\"]},{\"values\":[\"2022-06-20T00:00:00\",\"2022-01-17T00:00:00\",\"2021-04-02T00:00:00\",\"2023-05-29T00:00:00\",\"2021-07-05T00:00:00\",\"2022-09-05T00:00:00\",\"2023-02-20T00:00:00\",\"2022-04-15T00:00:00\",\"2021-01-01T00:00:00\",\"2022-11-24T00:00:00\",\"2021-05-31T00:00:00\",\"2023-01-02T00:00:00\",\"2021-12-24T00:00:00\",\"2022-12-26T00:00:00\",\"2020-11-26T00:00:00\",\"2023-01-16T00:00:00\",\"2022-02-21T00:00:00\",\"2022-07-04T00:00:00\",\"2021-01-18T00:00:00\",\"2021-02-15T00:00:00\",\"2020-09-07T00:00:00\",\"2023-04-07T00:00:00\",\"2022-05-30T00:00:00\",\"2020-12-25T00:00:00\",\"2021-09-06T00:00:00\",\"2020-07-03T00:00:00\",\"2021-11-25T00:00:00\"]}],\"showticklabels\":true,\"matches\":\"x3\"},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"autorange\":true,\"automargin\":true,\"side\":\"right\",\"fixedrange\":false,\"layer\":\"above traces\",\"tickfont\":{\"size\":16},\"nticks\":15,\"type\":\"linear\"},\"yaxis2\":{\"anchor\":\"x\",\"overlaying\":\"y\",\"side\":\"left\",\"tickfont\":{\"size\":13},\"fixedrange\":true,\"nticks\":10,\"range\":[0,2620357600],\"tickvals\":[70000000,140000000,210000000,280000000],\"showgrid\":false,\"showline\":false,\"zeroline\":false},\"title\":{\"text\":\" AAPL\",\"x\":0.5,\"xanchor\":\"center\",\"y\":0.98,\"yanchor\":\"top\"},\"showlegend\":false,\"margin\":{\"l\":40,\"r\":50,\"b\":80,\"t\":50},\"annotations\":[{\"font\":{\"color\":\"gray\",\"size\":17},\"opacity\":0.5,\"text\":\"OpenBB Terminal\",\"x\":1,\"xanchor\":\"right\",\"xref\":\"paper\",\"xshift\":40,\"y\":0,\"yanchor\":\"bottom\",\"yref\":\"paper\",\"yshift\":-80}],\"newshape\":{\"line\":{\"color\":\"gold\"}},\"modebar\":{\"orientation\":\"v\",\"bgcolor\":\"#2A2A2A\",\"color\":\"#FFFFFF\",\"activecolor\":\"#d1030d\"},\"spikedistance\":2,\"hoverdistance\":2,\"legend\":{\"tracegroupgap\":133.33333333333334,\"groupclick\":\"toggleitem\",\"orientation\":\"v\"},\"barmode\":\"overlay\",\"bargap\":0,\"bargroupgap\":0},                        {\"scrollZoom\": true, \"displaylogo\": false, \"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('89e747c4-7927-4e83-a387-c64c1eb130de');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "train=openbb.stocks.load(\"AAPL\", \"2010-01-01\",1440,\"2017-01-01\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "id": "Vtpq8AsFHCZt",
        "outputId": "496fd88f-7be5-4af6-a681-65389430e6a8"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading Daily data for AAPL with starting period 2010-01-04.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2010-01-04.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test=openbb.stocks.load(\"AAPL\", \"2017-01-01\",1440,\"2019-01-01\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "id": "piqe3dz5hUp6",
        "outputId": "24c57403-2a5d-46c7-9ab9-adf46d0d6a59"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading Daily data for AAPL with starting period 2017-01-03.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2017-01-03.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "index=[]\n",
        "for i in range(len(train)):\n",
        "  index.append(i)\n",
        "\n",
        "train[\"index\"]=index"
      ],
      "metadata": {
        "id": "URvSjlKyHTI6"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "index=[]\n",
        "for i in range(len(test)):\n",
        "  index.append(i)\n",
        "\n",
        "test[\"index\"]=index"
      ],
      "metadata": {
        "id": "BOHdjwQ3HxP2"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x=[]\n",
        "y=[]\n",
        "x_test=[]\n",
        "y_test=[]"
      ],
      "metadata": {
        "id": "TnfpHlB-H6Fg"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "close_list=[]\n",
        "close_list.append(train[\"Close\"][0])"
      ],
      "metadata": {
        "id": "7tsfGT-kIALQ"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_close=[]\n",
        "test_close.append(test[\"Close\"][0])\n"
      ],
      "metadata": {
        "id": "sxEIsXmtILDT"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(1,len(train)):\n",
        "  date=int(str(train.index[i]).split()[0].split(\"-\")[2])\n",
        "  prev_date = int(str(train.index[i-1]).split()[0].split(\"-\")[2])\n",
        "\n",
        "\n",
        "  if date > (prev_date+1) and date < (prev_date+3) and date != 1:\n",
        "\t\t\tprint(\"date: {}, prev: {}\".format(date,prev_date))\n",
        "\t\t\tclose_list.append(train[\"Close\"][i-1])\n",
        "\n",
        "  close_list.append(train[\"Close\"][i])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qMpMn4osISR8",
        "outputId": "11773d98-3fa7-4e5f-d4a8-63fa32450d2b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "date: 26, prev: 24\n",
            "date: 25, prev: 23\n",
            "date: 5, prev: 3\n",
            "date: 23, prev: 21\n",
            "date: 26, prev: 24\n",
            "date: 5, prev: 3\n",
            "date: 29, prev: 27\n",
            "date: 26, prev: 24\n",
            "date: 28, prev: 26\n",
            "date: 26, prev: 24\n",
            "date: 27, prev: 25\n",
            "date: 25, prev: 23\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(1,len(test)):\n",
        "  date = int(str(test.index[i]).split()[0].split(\"-\")[2])\n",
        "  prev_date = int(str(test.index[i-1]).split()[0].split(\"-\")[2])\n",
        "\n",
        "  if date > (prev_date+1) and date < (prev_date+3) and date != 1:\n",
        "    print(\"date: {}, prev: {}\".format(date,prev_date))\n",
        "    test_close.append(test[\"Close\"][i-1])\n",
        "\n",
        "  test_close.append(test[\"Close\"][i])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P-BXg1a2JF4X",
        "outputId": "7d9134f7-5ebf-47bb-af6a-92688464b7f7"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "date: 5, prev: 3\n",
            "date: 24, prev: 22\n",
            "date: 5, prev: 3\n",
            "date: 23, prev: 21\n",
            "date: 6, prev: 4\n",
            "date: 26, prev: 24\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_close.insert(60, test_close[59])"
      ],
      "metadata": {
        "id": "wwJJjmzeJbo-"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(len(close_list)):\n",
        "  ap=i+1\n",
        "  if ap%5!=0:\n",
        "    x.append(close_list[i])\n",
        "  else:\n",
        "    y.append(close_list[i])\n",
        "    count=0\n"
      ],
      "metadata": {
        "id": "Cxsr7DqOJeq9"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(len(test_close)):\n",
        "  bp=i+1\n",
        "  if bp%5!=0:\n",
        "    x_test.append(test_close[i])\n",
        "  else:\n",
        "    y_test.append(test_close[i])\n",
        "    count=0\n"
      ],
      "metadata": {
        "id": "s_hD7JtSJ72Z"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(x))\n",
        "print(len(y))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DJxeycuwKJma",
        "outputId": "f9e5552f-c659-47a2-8d23-b40734cf28a6"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1420\n",
            "354\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=np.array(x).reshape(-1,4)\n",
        "y=np.array(y).reshape(-1,1)\n"
      ],
      "metadata": {
        "id": "ZHO0g-0KKO-6"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_test=np.array(x_test).reshape(-1,4)\n",
        "y_test=np.array(y_test).reshape(-1,1)"
      ],
      "metadata": {
        "id": "EOg6GhM1KcJY"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "original = y[:]"
      ],
      "metadata": {
        "id": "bkdD3ys_Kjoi"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_scaler=MinMaxScaler()\n",
        "y_scaler=MinMaxScaler()\n",
        "y=y_scaler.fit_transform(y)\n",
        "x=x_scaler.fit_transform(x)\n"
      ],
      "metadata": {
        "id": "tEFAnP_wKmwB"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_test=x_scaler.fit_transform(x_test)\n",
        "y_test=y_scaler.fit_transform(y_test)\n",
        "x_test=np.array(x_test).reshape(-1,4,1)\n",
        "x=np.array(x).reshape(-1,4,1)"
      ],
      "metadata": {
        "id": "yJT6UMtfK7rQ"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x=x[:354]"
      ],
      "metadata": {
        "id": "FWjnDkgaS_IA"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(x))\n",
        "print(len(y))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qo1WrR1TLD5d",
        "outputId": "b6a65679-45bc-4ac2-a87d-6754272b14cd"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "354\n",
            "354\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_test=x_test[:101]"
      ],
      "metadata": {
        "id": "NYk2AfF7TIjf"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(len(x_test))\n",
        "print(len(y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CVH6ymNtTE1c",
        "outputId": "b1dc4fc3-d939-4b7f-d45a-846546221c82"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "101\n",
            "101\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.layers import SimpleRNN\n",
        "model = Sequential()\n",
        "model.add(SimpleRNN(10, return_sequences=True,input_shape=(4, 1)))\n",
        "model.add(SimpleRNN(10))\n",
        "model.add(Dense(10, activation='relu'))\n",
        "model.add(Dense(10, activation='relu'))\n",
        "model.add(Dense(10, activation='relu'))\n",
        "model.add(Dense(10, activation='relu'))\n",
        "model.add(Dense(1, activation='linear'))\n",
        "\n",
        "model.compile(loss='mse', optimizer=keras.optimizers.Adam(lr=0.01))"
      ],
      "metadata": {
        "id": "N81t3WpmLGnx"
      },
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(x,y,epochs=1000,batch_size=32,verbose=0,validation_data=(x_test,y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KBInwOU-LMN0",
        "outputId": "f90e70da-047b-4581-ef7b-7ec20a745eec"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7fd1585ca980>"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "score = model.evaluate(x_test, y_test, verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ezxxx0osLpX7",
        "outputId": "bd35eff8-089d-4260-9f47-1d3881c39966"
      },
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4/4 [==============================] - 0s 5ms/step - loss: 6.4679e-04\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(score)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H5EzkmVOL1Jk",
        "outputId": "df4d8593-b05c-42bb-e760-a4d41dfb5ae3"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.0006467946222983301\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.utils.vis_utils import plot_model\n",
        "plot_model(model, to_file='model.png')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 758
        },
        "id": "vlomP6m3MF8K",
        "outputId": "0dab68f6-77ba-4f78-e9bd-1e55054805a1"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_predict=model.predict(x_test,batch_size=32)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W0DjfcNVMMhV",
        "outputId": "33e433b9-c183-4a82-8c4a-5ffbbffb091a"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4/4 [==============================] - 0s 7ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_fit=model.predict(x,batch_size=32)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kH_vn7VWMbzM",
        "outputId": "fcc254f7-a0d0-4944-d172-14b707e8ece3"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12/12 [==============================] - 0s 4ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pred=y_scaler.inverse_transform(y_predict)\n",
        "actual=y_scaler.inverse_transform(y_test)\n",
        "fit=y_scaler.inverse_transform(y_fit)\n",
        "trainy=y_scaler.inverse_transform(y)"
      ],
      "metadata": {
        "id": "qNUFR2mLMgKw"
      },
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "diff=pred-actual"
      ],
      "metadata": {
        "id": "qYSwTgkiM1vE"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"predicted | original | difference | accuracy\")\n",
        "for i in range(len(y_test)):\n",
        "  print(\"{} | {} | {} | {}\".format(pred[i], actual[i], diff[i] , (1-(abs(diff[i]/actual[i])))))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BJJ4zXsJM5Ss",
        "outputId": "5e3ee00d-2293-4b33-9c73-f91aaeadab3c"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "predicted | original | difference | accuracy\n",
            "[28.140095] | [27.75837517] | [0.38171959] | [0.98624849]\n",
            "[28.140095] | [27.99398804] | [0.14610672] | [0.99478078]\n",
            "[28.145588] | [27.98698997] | [0.15859795] | [0.99433315]\n",
            "[28.447662] | [28.30892181] | [0.13874054] | [0.99509905]\n",
            "[30.429111] | [30.68374062] | [-0.25462914] | [0.9917015]\n",
            "[31.214252] | [31.63446999] | [-0.42021751] | [0.98671647]\n",
            "[32.201492] | [32.12413406] | [0.07735825] | [0.9975919]\n",
            "[32.21156] | [32.75205612] | [-0.54049683] | [0.98349732]\n",
            "[32.746124] | [32.56695557] | [0.1791687] | [0.99449845]\n",
            "[32.628166] | [32.90902328] | [-0.28085709] | [0.99146565]\n",
            "[32.82215] | [33.13393784] | [-0.31178665] | [0.99059011]\n",
            "[33.81353] | [33.76654816] | [0.04698181] | [0.99860863]\n",
            "[33.72395] | [33.9188385] | [-0.19488907] | [0.99425425]\n",
            "[33.60484] | [33.18315506] | [0.42168427] | [0.98729222]\n",
            "[33.154083] | [32.96057129] | [0.19351196] | [0.99412899]\n",
            "[33.925423] | [33.66346359] | [0.26195908] | [0.9922183]\n",
            "[34.61773] | [34.45537567] | [0.16235352] | [0.99528801]\n",
            "[36.123848] | [35.90798569] | [0.21586227] | [0.99398846]\n",
            "[36.37983] | [35.34806824] | [1.03176117] | [0.97081138]\n",
            "[36.229614] | [36.0750351] | [0.15457916] | [0.99571507]\n",
            "[36.02958] | [36.03739166] | [-0.0078125] | [0.99978321]\n",
            "[36.62882] | [36.46321487] | [0.16560364] | [0.99545834]\n",
            "[34.309532] | [33.94592285] | [0.36360931] | [0.98928857]\n",
            "[34.233418] | [34.26116562] | [-0.02774811] | [0.9991901]\n",
            "[34.415398] | [33.80241013] | [0.61298752] | [0.98186557]\n",
            "[33.97238] | [33.57890701] | [0.39347458] | [0.98828209]\n",
            "[34.29528] | [34.76461792] | [-0.46933746] | [0.98649957]\n",
            "[35.568733] | [35.36925125] | [0.19948196] | [0.99436002]\n",
            "[36.095123] | [35.42099762] | [0.67412567] | [0.98096819]\n",
            "[37.43536] | [36.59967041] | [0.83568954] | [0.97716675]\n",
            "[38.10754] | [36.68435287] | [1.42318726] | [0.96120452]\n",
            "[38.153355] | [37.2842598] | [0.86909485] | [0.97669003]\n",
            "[38.108746] | [37.61727524] | [0.49147034] | [0.98693498]\n",
            "[38.36424] | [38.73443985] | [-0.37020111] | [0.99044259]\n",
            "[38.42465] | [37.46612167] | [0.95852661] | [0.97441618]\n",
            "[37.28703] | [37.76135254] | [-0.47432327] | [0.98743892]\n",
            "[36.229614] | [35.87423706] | [0.3553772] | [0.9900938]\n",
            "[36.229614] | [36.40092468] | [-0.17131042] | [0.99529379]\n",
            "[36.723648] | [36.67962646] | [0.04402161] | [0.99879983]\n",
            "[36.797142] | [37.07878113] | [-0.2816391] | [0.99240431]\n",
            "[36.47046] | [36.90400314] | [-0.43354416] | [0.98825211]\n",
            "[37.26698] | [38.51005936] | [-1.24308014] | [0.96772064]\n",
            "[39.5499] | [40.74201965] | [-1.1921196] | [0.9707398]\n",
            "[41.40521] | [41.40284348] | [0.00236511] | [0.99994288]\n",
            "[40.61049] | [40.33145523] | [0.27903366] | [0.99308149]\n",
            "[41.210094] | [41.47395706] | [-0.26386261] | [0.99363787]\n",
            "[40.749832] | [40.54478455] | [0.20504761] | [0.99494269]\n",
            "[40.058548] | [40.14654922] | [-0.08800125] | [0.997808]\n",
            "[40.763626] | [41.23692703] | [-0.47330093] | [0.9885224]\n",
            "[41.479744] | [41.48343658] | [-0.00369263] | [0.99991099]\n",
            "[39.983418] | [40.83158875] | [-0.84817123] | [0.97922757]\n",
            "[41.16962] | [41.32225037] | [-0.15262985] | [0.99630635]\n",
            "[41.60288] | [42.45290375] | [-0.85002518] | [0.97997722]\n",
            "[41.94751] | [41.29619217] | [0.6513176] | [0.98422814]\n",
            "[39.651432] | [39.68670654] | [-0.03527451] | [0.99911118]\n",
            "[38.99456] | [37.81650543] | [1.17805481] | [0.96884813]\n",
            "[38.947712] | [39.83424377] | [-0.88653183] | [0.97774448]\n",
            "[40.663437] | [41.05518723] | [-0.39175034] | [0.99045796]\n",
            "[42.177494] | [41.65018845] | [0.5273056] | [0.98733966]\n",
            "[41.56235] | [42.11191177] | [-0.54956055] | [0.98695]\n",
            "[42.427975] | [42.5188942] | [-0.09091949] | [0.99786167]\n",
            "[41.013737] | [40.18648529] | [0.82725143] | [0.97941469]\n",
            "[39.361324] | [39.93181992] | [-0.57049561] | [0.98571326]\n",
            "[41.03346] | [40.07461929] | [0.95883942] | [0.97607365]\n",
            "[41.23579] | [41.5859375] | [-0.35014725] | [0.99158015]\n",
            "[41.179436] | [39.44153595] | [1.73789978] | [0.95593732]\n",
            "[38.980724] | [38.63233566] | [0.34838867] | [0.99098194]\n",
            "[41.98967] | [43.75172806] | [-1.76205826] | [0.95972597]\n",
            "[45.128506] | [45.05770493] | [0.07080078] | [0.99842866]\n",
            "[44.58173] | [44.51296997] | [0.06875992] | [0.99845528]\n",
            "[44.823704] | [45.05531311] | [-0.23160934] | [0.99485944]\n",
            "[45.382397] | [45.83179855] | [-0.44940186] | [0.99019454]\n",
            "[45.625397] | [45.68844223] | [-0.0630455] | [0.9986201]\n",
            "[45.029945] | [45.09354782] | [-0.06360245] | [0.99858954]\n",
            "[44.079678] | [43.52383804] | [0.55583954] | [0.98722908]\n",
            "[44.10755] | [44.72082138] | [-0.61326981] | [0.98628671]\n",
            "[44.820366] | [45.53314972] | [-0.71278381] | [0.98434583]\n",
            "[45.57285] | [45.61199188] | [-0.03914261] | [0.99914184]\n",
            "[45.585617] | [45.77923203] | [-0.19361496] | [0.99577068]\n",
            "[45.412148] | [45.37308121] | [0.03906631] | [0.999139]\n",
            "[49.131126] | [49.95075989] | [-0.81963348] | [0.98359117]\n",
            "[49.544758] | [50.07798767] | [-0.53322983] | [0.98935201]\n",
            "[52.0446] | [51.6579895] | [0.38661194] | [0.99251593]\n",
            "[51.627087] | [52.25259399] | [-0.62550735] | [0.98802916]\n",
            "[53.932392] | [54.75084305] | [-0.81845093] | [0.98505135]\n",
            "[51.999176] | [53.66955185] | [-1.67037582] | [0.96887666]\n",
            "[51.655766] | [52.32451248] | [-0.66874695] | [0.98721924]\n",
            "[52.73885] | [53.27154922] | [-0.53269958] | [0.9900003]\n",
            "[53.826744] | [54.97142792] | [-1.14468384] | [0.97917675]\n",
            "[53.288918] | [54.39361572] | [-1.10469818] | [0.97969066]\n",
            "[51.594112] | [53.26196671] | [-1.66785431] | [0.96868583]\n",
            "[52.667416] | [53.40102386] | [-0.73360825] | [0.98626228]\n",
            "[50.46096] | [51.14011002] | [-0.67914963] | [0.98671982]\n",
            "[48.060886] | [48.85523605] | [-0.79434967] | [0.98374075]\n",
            "[46.57432] | [46.24925232] | [0.32506943] | [0.99297136]\n",
            "[44.381813] | [42.5802002] | [1.80161285] | [0.95768895]\n",
            "[42.02318] | [41.92098236] | [0.10219574] | [0.99756218]\n",
            "[44.6427] | [42.51043701] | [2.13226318] | [0.94984142]\n",
            "[41.128773] | [40.57125092] | [0.55752182] | [0.9862582]\n",
            "[39.79999] | [39.9553299] | [-0.15533829] | [0.9961122]\n",
            "[35.803207] | [35.32632065] | [0.47688675] | [0.98650053]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "accuracy = 0\n",
        "for i in range(len(y_test)):\n",
        "  accuracy += (1-(abs(diff[i]/actual[i])))\n",
        "\n",
        "accuracy /= len(y_test)\n",
        "\n",
        "print(\"Overall accuracy: \" ,accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ap4s0XC-SB7b",
        "outputId": "1a188a8f-2167-425e-9a1e-cf32333a14b1"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Overall accuracy:  [0.98736985]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.plot(pred,label=\"predicted\")\n",
        "plt.plot(actual,label=\"original\")\n",
        "pl.xlabel('index')\n",
        "pl.ylabel('values')\n",
        "pl.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "tP51IAgyNHIn",
        "outputId": "dcbe4e62-b611-4496-f6a3-fa1e59015a12"
      },
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fd150f90610>"
            ]
          },
          "metadata": {},
          "execution_count": 115
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjUAAAGyCAYAAAAcSDVlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACitUlEQVR4nOydZXgUV9uA740rMUhCIMFD0OJerC20FKhC3eWtu79f37p7C3V3F1oKdaBIsCABAsETiHtISIjM9+PMRiAJkd0zm5lzX9dcMzs7O/PMncnmyVEboKFQKBQKhULRznEzOgCFQqFQKBQKR6CSGoVCoVAoFKZAJTUKhUKhUChMgUpqFAqFQqFQmAKV1CgUCoVCoTAFKqlRKBQKhUJhClRSo1AoFAqFwhSopEahUCgUCoUp8DA6gM8//pSUlFSHnze6a1dSDxxw+HkV9VGe5aA8y0O5loPyLAdneo6JiebCSy92yrlbi+FJTUpKKvf93/0OP29QhyAKiwodfl5FfZRnOSjP8lCu5aA8y8GZnp9+/CmnnLctmLb6afCgQUaHYAmUZzkoz/JQruWgPMvBap5Nm9QEBQUbHYIlUJ7loDzLQ7mWg/IsB6t5Nm1Ss3bdGqNDsATKsxyUZ3ko13JQnuVgNc+mTWpiYroZHYIlUJ7loDzLQ7mWg/IsB6t5Nm1SE94p3OgQLIHyLAflWR7KtRyUZzlYzbNpk5rELYlGh2AJlGc5KM/yUK7loDzLwWqeTZvU+Pn6Gh2CJVCe5RAcFGR0CJZBuZaD8iwHq3k2bVKTk5drdAiWQHmWQ3R0jNEhWAblWg7Ksxys5tm0SU15WbnRIVgC5VkOO3ftNDoEy6Bcy0F5loPVPJs2qXFzM+2tuRTKs0KhUCga48TxEyjJL25wiQgXjZhjomMaPWbkiJEtup7h0yQ4i6AgNQS3DJRnOfTp3YfknclGh2EJlGs5KM9ycBXPDz36MFu2ba23L7+goN7rea/P459lS+vtS05uWeymTWoOHTpkdAiWQHmWQ2pqitEhWAblWg7KsxxcxfPqNav5d8XyJo9J3LKFxb8tbtN1TFt3cOTIEaNDsATKsxwKClVpmCyUazkoz3KwmmfTJjWhoaFGh2AJlGc5DBporUnpjES5loPyLAdX8ezr64unp2eTx3h5e+Hl5dWm65g2qTl8+LDRIVgC5VkOWdlZRodgGZRrObiKZx8PmN0PbhkL7jajo3E8zvQcFBREzx496dmj53GP/eGb7ynIyiNl934+//gzJowbf8wxr730KvmZuaTtP8CC735k5oyZLY7J8DY1MTHR+Pv7M2H8BDzcPViybAmjRozEz8+f+NXxdOvWjdTUVIoPFePv74+/nz/5Bfm4u7vTIbADRcVFVFVVERIcQklpCYcPH6ZjWEdAw9vbm4jwCCorK8jKziaqcxTVWjUZGRlEhIfj7u5BRkYGoaGheHl5kZ2dRUBAIL6+vuTl5eHl5UVAQACFevFdUFAQhw4d4siRI4SGhnL48GEOHSqmU6dwjhw5Ql5eHpGRkVRVVZKZlUVkZCRuNjfS0tMI79QJDw9PMrMyCQoKwsfbh5zcHHx9fZt9T2XlZRQWFrrUPfn5+VNUXGSqe/Lw8CQjMwNfX19GDBtB0o4kIsIjiOocRdL2JHx8vOnRvSd79+2hrKycfnH9SEtPIzMrk2FDhpGbl0tycjJjRo+htLSENevWMnniZCqrKlm+YjljR4/B29uH5SuWM3jQIIKCglm7bg0xMd0I7xRO4pZEgoOCiI6OqemOGdunD+VlZRQUFjJo4CCysrNISdnPyBGjKCwsYHNiIhPGT6C8vIxVq+Mb/X2KjY0lLDSMhI0Jht9Tn959SE1Ncbl7CgzwZ1vSNlPdkyv+nGL79CE3N9fwe7pgXCT3xYpJH2P79uernaGm+jn17ROLj7e3U+6pOWxK3MzJp00DIDAggH5x/bjxuhv4dcFCZsw+neUrV5CRmVFzjK+PD7179+a6a67jq8++4Kr/XM2XX3/VorxCM3J5+vGnnHLemOgYQ+/LKovyLGeZOWOm4TFYZVGureX5rhPR8h8Uy4F70aKDjI+pvXhu7d/vYUOHaSX5xdqH777f6DER4eFaUU6B9vdvf7Xo3KatflINWB3HA/feT0l+MVFRUce8N3PG6aTvP8hD//e/Nl/H39+f5595jksuvLjN52qMbZu28MsPC5x2fmdRWFhgdAiWQbmWQ1s9d/SDOyfAoydBW2qNRuhfa2WV4O8FL5zWprBcDld8nnfv3g1AYGCHRo/JzMqi+FAxgYGBLTq3aZOavLw8o0OwBEEdgujQoQPdu3Vr+7mCgrj+2uuIjo52QGTmYnOitSalMxLlWg5t9TyyK/zfFLh5HIzo0vrzDNc/e9tCKK+EU/rAWf3bFJpL4YrP89lnnQ3A0qPGpKnLSVOmEhwUzNJ/Gz+mIQxvU9MW/Pwafy+6SzipBw/IC+YoSksNu7RUPvvycz7+/BPS0tKMDsXUTBg/gYWLFhodhiVQruXQVs+96nS8PGsArD3Y8nN0C4aO/iKZ+WErxATBA5Ph6enw9x4oLGt1eC6D0c/zsKHD6Nc3joLCQoI6dGD8uPFceP4FLF22lDfefhMQ7YHGjhlLXl4efn6+jBg2nMsvvZyt27byxFNPtviahtb3tbZOzs8PTct13cXPr21eHrj3fi0nLUsLDQnVXn91vrZ/1z4tIyVNe/3V+Zqvr2/NcSX5xdqdt92hDR82XFv8yyIt60CGtnblGm36tOn1zufv76899diT2s6tO7S8jBxtffw67bpr/nPMdW02m3b9tddpq5ev0nLTs7XM1HRtX/IerSS/WIuKiqo57tsvv9FK8otrlvmvzGv0Xjp06KA99vCj2pYNm7X8zFxt38692i8/LNB8fHw0QHtr/pv1znX08sC999c73wmDBms/fvO9lpmarmWkpGk/ffuDNuSEIcdct3Pnztr8V+Zpu7YlawVZedrupJ1aXkaO9ssPCwx95luznDz1JMNjsMqiXLcPzy/NqG0Ls/VWNFsrznHOAPH5P64Ur73c0VZdJ/a9dLrxjlzBc1NLc/5+X3rxpVpOWpZWkl+sZaSkaX/99qd29ZVXae7u7jXHnDRlqpZ1IEMryS/Wsg9maiuW/KvdcevtNX8jWrK065Ias+Pr68viX36loLCQex+4l8EDB3Przbdw6FAx9zxwX81xUyZN5r677+XDTz7ivQ/e45Ybb+bTDz5m4NBBZGaJ7nzffP4Vw4YO48VXXiIlNYVZp8/ihWefJyAwkOdffL7mXPNefo1LLrqY9z58n+defB5//wCuvOxyOnXqVC+2J595inc/eA93N3e+/vzLRu8hqEMQf//+Fz179OCd995h9do1dOgQxJRJk/HwEI/fvDfm8cOCHwkLCeXtN97i62+/5qtvv6k5x65du2q2+8b25Y9Fv7MjeQd33Xs3vn6+3HrTLfz2yyLGTZrA7j2irjYiPJylf/yDm5sbr85/jZTUFHr17MU9d97dhp+IcaxaHW90CJZBuZZDWz33CqvdjuoAY6JhVWrLzmGvelqvl/IcqYLbF8Kiy+HyYfDFJlhjXIG/QzD6ef7404/5+NOPmzzmr3/+JrxrpMOuaWgW2ZbeT35+jS99+kQ1+b6zl7Z6eeDe+2tah7u5udXs/+qzL7WMlDTN29tbA1FSU5RToJ05+4yaYyZPnKSV5Bdr5889TwO0WafP0kryi7VZp8+qd40fvvlOS9t/QPP09NQAbfiw4VpJfrF27133NBhL3ZIa+9K1a9cmS2qeeuxJrSS/WJt28inHveeoqKgGS2bqLl999qW2c+sOzc/Pr2ZfdHS0lpuerb38wks1+156/kUtPzNX69G9R73Pb9u0pV2W1Bxd8qYW5bq9L231vOVWUaJiL1l5ZnrLz/HbFeKzcwbW3z9vltj/2izjPRntuanFWb2X27K064bCpaWNL+VlHk2+7+zFUfz3oQeprq6ueb3s32UEBgYS3bW2Me2333/Ljwt+qnm9OTGRZ55/ln379wNw5uzZHDp0iCXLloixfvTlnyVLCOoQRL++cQCcOm06INrJNBc3W9OP0OxZs1ifsJ7f//yj2edsDG9vb6afMo3f/vgdm81Wcx95eXls37Gd0SNH1Rx76rTprIpfxd59e9t8XVfAw10VqspCuZZDWzz7eUIXvePMSyvEenY/cGtBNyhPNxisFw6sO6o9zuebxHpGLHi067+S1nueTXu3aenmaLiqaVq918X6BJKhoaEgalo4fLh+a7a8/DwefeKxmtfhncIJCAggI6VhJx06iG+HyAjxG96SRr/H89wlqgtr1q5p9vmaIjQ0FE9PT6647HKuuOzyY97ft39fzXZkRCQrVq5wyHVdgSXLlhgdgmVQruXQFs899UbCeaWige/T0yEyEMbGwIr9zTvHwAgxmnBuKezNr/9efCpkl0AnfxjfDZa24/+NrPY8mzapCe/UibT0dKPDcDhdu4hK4MzMzGZ/prCoiMKiQs45b06D7yduEV3+8vJFN/jAgEAKi2onQfNroptZ+FFtbRq6dkRE8+pKj07gjqa4uBiAb77/lrfeefuY9+tO2ZCXl0dAQP3xDWw2G95e3s2KxdUYNWIk/yxdYnQYlkC5lkNbPNuTml15UFENv2yHS4aKrtjNTWrs3cATGug1Va3Bwh2iXc2suPad1FjteTZtUuPh0fTEWe0RDw8Pzpszl+07drA/pZm/uYgp388640w0TSO+iUZj23dsB2D8+PH8uuhXAEaNHMV/rr62iZia9rxi5QpmnHoa/fv1Y1tSUpPH5uXlUVVVRY/u3Rt8/9ChQ2zZuoUB/fqzPmF9kwMs2qujPDw8qKysBODpx58kMjKSpO1Nx+GK+Pn5Gx2CZVCu5dAWz731pGaPPhzZj9tEUjO7H9y7GKqa/v8IqG0kvK6Rwuafk0RSc3pfuHuRaLDRHrHa82zapCYzq/klGa7MXbffyYqVKwgM7MAVl15Gt5hunD33nBad46NPP+a6a//Dd199w7vvv8fmxM1UVFTSqVNHPD08efOdtwD44acfeerxp3j5uRfpGBpGZGQkd952BytWruCUk0+pd85Tp58KUDPratcuXWr2rVmzpqbU54mnn+CkKVP5beFi3njrTZK2J4neT5Mnc9OtN3NIr04DKC8vZ/nKFcw5Zw6pBw6wcdMmgoOCSElNYYk+SNOjTzzOl59+zpI//ubjTz/hYFoa3t5edO3SldVr17AqfhUA77z/Lp999CmffvgJ3/3wHWedcRYjhg1n67atLf0RuARNJaMKx6Jcy6Etnu0lNb4RcM4s+GmhqEayVxct23f8cxzd8+lo/t0nxqmJDITR0aJKqj1ixefZ0JbKzmo9HR4ebngr7LYs9h5HyVu2awVZeVra/gPaj998r40aOarecccbI8a+REZGaq+/Or/mfOn7D2ob1iRoDz/4UL3jRgwfoS3/Z5mWl5GjrV25Wjtz9hna+XPPO6b3U1Pjypw4fkK9c/aLi9M+fv8jbV/yHq0gK0/bu2O39v3X3zY4BkFUVJT24XsfaHu279IKs/O1/bv2aVdcdkW9Y06eepL264KFWtr+A1pBVp62f9c+7Z/f/9YmnTix3nF33X6ntmf7Li0zNV376rMvtejoaO2XHxa0y95PY8eMNTwGqyzKtet7XnSZ6J1UvlKMCxYYKMaVae74MsE+tWPchHdAmzYF7ZLzjj3ujTPEMY+fYrwvIzwfb3HF3k8YHYCa0LLhpalu1K60tHfP7WVxlcn/rLAo167vOfkOkWxUJImkZsIYtEk9xL5dd6J5uDX9+ZN6iWPX3oB21szaQVOvvaz+cTP6iuM23Wy8LyM8H29xxaSmnXdWa5yc3ByjQ7AEyrMcEjYmGB2CZVCu5dBazx28RTUTgHuwWA8ZBMv3iR5LYX4wsXvT56hb9TT3jNr9LzwKPbrVvv57Nxw6AjHBMKRzq8I1HKs9z6ZNanx9fY0OwRIoz3KICI8wOgTLoFzLobWe7XM+VXiCzUtsDxkoGgcv3CFen9K76XPYZ+benA2zxPBc7NwNAQHw4Tyw6ePdlFXCH/qA5rPiWhWu4VjteTZtUuNvsRbfRqE8yyGqc5TRIVgG5VoOrfVsnx7Bo86ElkMHifXf+thdk3s2fY5hekmNb1fw94c9+2D6HDh0CCaOg1v/U3vsL6JTKLP6tSpcw7Ha82zapCa/IN/oENrEk888hX9IoMvPft3ePbcX2mM39PaKci2H1nq293zy7li7b0AceHqKXk9V1RDXqXbE4aPpESKqqMorYfQ0se/rn2DvfrjjQfH6qQehbx+x/ftOcWyfMOinD8vl5wnnDYafL4Ez+7fqNqRhtefZtEmNu7u70SFYAuVZDj4+7XPQwPaIci2H1nq2j1HjFgy790JBIXh7Q79Y0QU7Qf8/cHKPhj9vH3Rvaxacrlc9ff2jWL/zMSz+C3x84KP54O4u2tT8s0e8f9NYePl0SLod3jwDJnSHvh2PvoJrYbXn2bRJTYfARtJ0hUNRnuXQo/txytMVDkO5lkNrPdtLatxCICkZNooB0RmiV0HZE5ApjZx+ZFexzvcCPz+RGG3YXPv+VbdCfgGMHg6XnS/2LdALOy48AS4bJhorl+hjf8a6eFJjtefZtElNUXGR0SFYAuVZDnv37TE6BMugXMuhtZ57621q3IP1pGaLeD1koFgv0U87qQccPb+lh5sYdRggTK82+vqn+sekpcO8d/VzjBfrRclQWS0Smc83wekfwZXfiffimp4pxnCs9jybdkThqqoqo0OwBMqzHMrKyo0OwTIo13JojecwPwjyEdtuwbB9p2hDA7WNhdcehOJy6OgPgyJhc0bt50/pDREBouv3yNlin73qqS6r1or16OFiXVAGF3wpRhU+pJfQxASLda9QcLc1b2oGI7Da82zakpqQ4BCjQ7AEyrMc+sW1064X7RDlWg6t8Wzvzl3tBzYPUVJjrzqyVz9VVsNyfWq8qUfVvFwyVKw3lIJ/gOjGba++qssafWiXvr0hOEhs/7m7NqEBSC2A0grw9oBuLvw1aLXn2bRJTUlpidEhWALlWQ5p6a7dC85MKNdyaI1ne1LjpVdBbd8pEpsjR0Ty0T1G7P+nga7dEQG149cEDhPro6ue7OTmwS691mbUsIaP0YCd+tijrtxY2GrPs2mTmsOHDxsdgiVQnuVglgla2wPKtRxa49k+Ro1bCGRmiQa9FRWwRW/IW9NYeK9Yj4kGX72RxfmDRZuadWkweYbY11DVk5349WJtr4JqiB3tIKmx2vNs2qSmY5gLP2UmQnmWw7Ahjfy7qHA4yrUcWuO5V53u3EnJtfuPbiy8K1dUD3l7wDh92oOLhoh1kga+vrBjF2ze2vi1VjcjqUnWkxpX7gFltefZtElNWXmZ0SFYAuVZDrl5uUaHYBmUazm0xrM9qXEPFlVPduxJjb2xMNSW1kzpCWOjxeB5h45At4li/zeNVD3ZaU5SU1NS48I9oKz2PJs2qSksLDQ6BJfklRdf5uC+VGacNsMh5ztt+qmk7z/IQ//3P4ec73icOfsMSvKLa5bCbGuMaJycnHz8gxQOQbmWQ2s8Hz1GjZ2jGwtD/fFqLtYbCP+SDNNOEdtf/dD0tTZtgfJy6BgGvRoYyO+9V+GJZ8V2n7CW3YdMrPY8mzapsdokXs2lZ/ceBAcFExnhGD+xfWLp0KED3bt1O/7BDmBV/CrOOX8O55w/h3+W/CPlmq7AmNFjjA7BMijXcmip586B4O8Fmg3cOtQvqdmkVyPFdIVQvSfS0r1QrUH/cDhLH5MmLVCMFpyUXNsOpzGOHIENes+oo0trgjrARefCoDFQDQR6Nz4tg9FY7Xk2bVJTWVlhdAguyVlzz6FXvz68/+EHDjnf/DfmEzswjiuvvdoh5zsemVlZLP5tMYt/W8xBF58Xy5GUql5m0lCu5dBSzzWlNB3A5l6/pKa4uLa3kr20Jv8wbEwX276eov3LiGaW0tiJXyfWRyc1Z8wQUzPY3KFKn9PXVRsLW+15btdJjZ9n48uhgqwm33f24gj6xvblkw8+JmX3fnLTs1mzIp5rrqqfPJTkF3PnbXcwfNhwFv+yiKwDGaxduYbp06bXOy4zNb2mumZ30k7On3teg9cMDAzkqceeZMuGzRTlFNSr6lm1bEXNcd9++Q0l+cXs3JZM8pbtzHv5tQbPt23TFl587gVOHD+BZX8tIScti41rNzD33Dn1jouJjuGj9z5k68ZE8jNzSdm9n19/+oWJE05sjTrTsWbdWqNDsAzKtRxa6tk+55N7CJSUwIGj/qc5urEw1FZBAXybBKeeLLaP157GTmPtas4/q3bbRy/0dtXGwlZ7ntvtiMJ+nnDwvqaOMHak2y5Pi4GZWkv/fv34a/GfZGRm8n8PPUhlRQXnnnMOLz//El2iuvDwY4/UHDtl0mTuu/tePvzkI9774D1uufFmPv3gYwYOHURmVhYAF19+Ce4eHgzsP4BH/vdwo9f9+P0POXH8ibz06svsSN7BOWedw+yZs1jwy8+89vq8muOefOYp3v3gPcI7duKNea83eS9TJk3h4gsu4tX5r/Ha6/O4/ZbbePv1t1i3fj179opvnW4xMXQMC+O9D95nf8p+QkJCuO3mW/nuq28ZN2kCO3ftbPIaZmfyxMksXLTQ6DAsgXIth5Z6rtfzaSdoR43gu3ELnDsbhg6u3ff3brh9vKiGKu0CXl6i2mnbjuZd057UDBkoPnvkiKjeOnmS2F9RAR4doWqP65bUWO15brdJjdl58tEnqKyqZOq0k8gvEI1hP//qCxb++DO33Hgzr82fV9OqfeKJE7n0ysv4cYH49yM7O5uFP/3ClMlT+PLrrwD4468/ASg5dKjRa8b2iWXaydN4/qUXeOLpJwH4/scfSEzYREx0NCtXraw5NmGDGHKza9eux72XHt27c8GlF7Fo8SIAMjIyWPzLIiaMn1CT1Py7Yjn/rlhe73M7duxg8S+LOP20Gbz82ivHvY6ZqayqNDoEy6Bcy6Elnt1tMLWXvh1cvz2NnZrGwnVKalamQNjj4OMB334i9jU1Ns3R7N0P2TnQqaOo1lqzHs6eCZ6eYiTiiko4QU+2XLUHlNWe53ab1JRWiNKQxvDwcKey0rjSmraU0nh7ezN50mQ+++LzmoTGzudffsHkSZMZMWIEv/3+GwDffv9tTUIDsDkxkWeef5Z9+/e36Lq+PmJSldzc2i6A1dXVFBYW4ubWcE1lRkZGg/vrsmLlipqEBiAlNRWAiIjwBo+32Wz4+vqSkSkGjfLz82veDZiY5UclfArnoVzLoSWerx0FAyLgiA06xELSr8ceY69+iusjGgOX1RltwjcApk0R242NItwYq9fDzOmiCmrNejhPr3r68gfoFwtDp4rXrlr9ZLXnuV23qSmtaHwJDIlo8n1nL20hNDQUT09PMjKPTRjsQ14HBwXV7Dt8uP5YMXn5eTz6xGPEr45v0XW3bNtK8s6d3HDd9YwdM5bwTp246fobOWHwCTUlPkcTEd5wYlIX7ahyYvtrW505dAMDA3ns4UfZtmkL+Zm5ZB/MZOPahBbFb2bGWqwHg5Eo13JoyrPNBiOHwX8uF72K7tere3J7gZsfbG+gl3JaOmRlg4cHDDxquqMzZ4jSlU1bYEcLa7LtVVBjhkN4J5gyQbz++kdRjeUeKqZMCPMTi6thtee53ZbUHA939/Z7a0VFRVRXVxPVOeqY97pEdQEgM9M5Q1+Xl5fRsWMYfy76HYCKigpemz+PV+c33BDYUZ7fe+tdTp56Es88/yzr1q+j9PBhOoZ15MtPP3fI+ds73t4+RodgGZRrOTTlecqJ8JfeQykhGgKBNakw6gqxL6mRoVc2bhElMvfdChdcI9q8AMw9U6xbWkoD9adLOGcWuLuLCS/37oet28XEmpW+4HlYtKtZmdLyazgTqz3P7fcv/3FoTrWIq1JSUsLmxM3MOG0GgYGBFBcXA6Ja5pKLLyEvP4/Va9c4/LonTZnKoIGDmDBlIrm5uYQEB7Nrz25KShrvEugoz1MnT+GXXxfyzPPP1uw7cfwEh5zbDFitCNlIlGs5NOW5jz4RZcU+6AlUafDkalgSBJWVsGtvw5+b9y5MHi+Sjx8/gXMuB3+/2oa9LWlPY8deYNyrB1yvJ1X2LuH2BsfenaA6xTWTGqs9z6ZNakJDQxusvmkvPPrk43z7xdf8tfgP3nj7LYqKCrnogguZMG481914fYsmkgwNCWXUqFEADOw/AIDBAwdToI+6vPi3xQDY9HYzV152Bb/+tghN04iMjCQ9PZ3ErVvqVSOdOv1UAEKCxUhXXbt0qdm3Zs0a8vLzWnS/23dsZ/KkyVx5+RUUFRUx7eRpTDv5FCor6zdyGzRwIF26iMbJXaKisNlsNdc9ePAAiVu2tOi67YXBgwYd05Ba4RyUazk05Tm2F2iVUPyHaCPhMxTO0Asc9uwTvZAa4ufFMPsi+P4jmHEKLPoKfv5NVEklbKody6YlFBaJkqF+sTBIH8TPnhztS4HSUvDsBOUprtlY2IrPs2bk8vTjTznlvDHRMYbelyOWk6eepP3+629a1oEMLftgpvbn4j+00049rd4xJfnF2vxX5jV5nhPHT9BK8osbXezH2Ww2be3KNQ0es3HtBq17t+71rtvYcuL4CTXHbdu0RfvlhwXH/GxK8ou1e+68u2ZfbJ9YbcF3P2oH96VqB/elap988LHWs0dPLSMlTXvg3vtrjntr/puNXvet+W8a/jNz1jJzxkzDY7DKolwb73nBZ2ilv6DlP4h28H9o1eloWq5Yfvz0+OeeMAatYG/tZ7RctHtvbX2sH8yrPc/yX+u/t+4vtLJlItbvLzLea0s8t3Vx1t/vNi7GBuAsKb4+PkaLbXfLFZddoZXkF2uzZ86u2efh4aGNHTNWy03PbjBpUJ7lLBHh4YbHYJVFuTbe844laPkPi0ThzAFov35Vm1Q8/VDzzj90MFrWjtrP9ejW+livu6L2PDdfW/+9j99Aq9giYt3ShsTJCM9tXVwxqWnXvZ+aIiAg0OgQ2h0zZ5xOVlYWC35ZULOvsrKSTZs3ceTIkQa7VivPcoiJ6WZ0CJZBuZZDY57d3SHaBlTBthz4cSvMvQpWroFFf8L3vzTv/Bs2w8RZcDAd1m4QDXtby6q1YhTj6mr4dkH997ZuFz2gQPTU6uDd+us4A6s9z6ZtU+Pr62t0CO2OTZs3ceq06Xz47vv8/scfHCopIapzZy656GJ8fHx46523jvmM8iyH8E7H7zqvcAzKtRwa89wtGjS9c+c/u8T60CEYf1rLr7E9GSbMOHaag5ayaQsExIiEq+qo4c+27QCbN1R6gccRMWP3eheals5qz7Npk5q8vJY1VFWIqQ/Kyso456yzOf200/Hy8iInJ4cVq1Zy8+231owiXBflWQ6JWxKNDsEyKNdyaMxzbC+o1JOC+NS2X2dfilgcwdEJDdT2gPLsBNpBMQifKyU1VnueTZvUeHl5gbUmJ20zlZWVPPvCczz7wnPN/ozyLIfgoCBSHPAFrzg+yrUcGvM8qDdU64Oar24HP4e9++HwYfDsCEcOQpyL9YCy2vNs4jY1AUaHYAmUZzlER8cYHYJlUK7l0Jjn0dFiXQhkt4N/mKqrxVxU9nY1rjZdgtWeZ9MmNYX6GCwK56I8y8Hqs5TLRLmWQ2Oe44LEOrlYYjBtZOsOcHPRpMZqz7NpkxqFQqFQtD/Cq8XaEe1pZGGfAwqge4iYFVxhDKZNaoLqTPiocB7Ksxz69O5jdAiWQbmWQ0Oe/XzAs0BsL25H7Vu37QCbH1R5gJsNeoUaHVEtVnueTZvUFBapahEZKM9ySE11sQllTIxyLYeGPJ86BKgEvGFVI5NWuiJbt4uZxT3CxGtXqoKy2vNs2qSmvLzc6BAsgfIshwLVdkkayrUcGvI8ta9YlwSI4WHbC3v2QVmZ6AEFrpXUWO15Nm1SM27MOKNDsATKsxwGDRxkdAiWQbmWQ0Oeh0WK9YHKY95yaew9oFyxsbDVnmfTJjXFh9pR0/l2jPIsh6zsLKNDsAzKtRwa8txdn2IgMVdyMA6gbmPhvi6U1FjteTZtUpOS0oaJPhTNRnmWg/IsD+VaDkd77hYMvhrgBiv3GBJSm9iWXFtS0ytMNBh2Baz2PJs2qRk5YpTRIVgC5VkOyrM8lGs5HO15jD7onns4bNttQEBtZOt2cAuEajfRpbtbsNERCaz2PJs2qSksLDA6BEugPMtBeZaHci2Hoz1P6CHWHl0geZf8eNrKth1gcwO3YPHaVaqgrPY8mzap2ZzYjgY5aMcoz3JQnuWhXMvhaM/juot1aSDkF0gPp83s2QcVFa7XA8ro5/nE8RMoyS9ucIkIr51BPCQ4hFdfeoU923eRk5bFv38vZeaMmS2+nmmTmgnjJxgdgiVQnuWgPMtDuZZDXc9BPtBTH8dzdzuY76khKith9z7XmwPKVZ7nhx59mHPOn1NvyS8oAMDX15fFv/zKmbPP5MVXXuKm226moqKSLz75jDNmzW7RdUw7mHN5eZnRIVgC5VkOyrM8lGs51PU8qqtYuwXD9gPGxOMIduyCnr3EtqskNa7yPK9es5p/Vyxv8L0b/nM9AwcM5KRTTyF+dTwAC375mdXLV/H0E0/x088Lmn0d05bUrNLFKJyL8iwH5VkeyrUc7J6DfOCcAWKfRxTsbIeNhO3s2Ol63brbw/M899w5rE9YX5PQALi5uXEwLY2Y6BiGDR3W7HOZNqlxlSI3s6M8y0F5lody7Xz8POGe2b34/DxIvgPOGyz2u0dBcntOanaJ0iYN6OADkQFGR+Tc5zkoKIiePXrSs0fP4x7r6+uLp6fnMfu9vLyI6xvHuoT1NftGDB/BqmUrGDt6DAAD+w9odkyGVz/FxETj7+/PhPET8HD3YMmyJYwaMRI/P3/iV8cTGxtLWGgYCRsTiAiPIKpzFEnbk/Dx8aZH957s3beHsrJy+sX1Iy09jcysTIYNGUZsbCzr1q1jzOgxlJaWsGbdWiZPnExlVSXLVyxn7OgxeHv7sHzFcgYPGkRQUDBr160hJqYb4Z3CSdySSHBQENHRMTVTt/fp3YfU1BQKCgsZNHAQWdlZpKTsZ+SIURQWFrA5MZEJ4ydQXl7GqtXxDr+n3LxckpOTXeqexowazbp160x1T674cxozajTpaWmmuidX/TkNHTLUdPfkSj+n3D1r+O6sHHw9Ntf8HUgpDaTrhEN49taI7DyBoUNK2tU92X9OYR19sHmsQgsA2yE4eVgMK1M9DP05jR09htKSEqc8ey3hh2++ByA3L4/lK5bz+puvs3zlCkJDQvDw8CAnJwebzcadt9/J/933AIlbErnrvnv4/qtvCQkJadG1NCOXpx9/yinn9ff3N/S+rLIoz8qz2Rbl2rnLxO5o+Q+ipd6L9t/JaHGd0II6oGm5YgkIMD7G1i4dw8Q9FL8v7vHqEcbH5MznuTl/vzt06KCNHTNWGztmrDbt5FO0W2+6RUvesl0ryinQJowbr0VGRmol+cXaqy+9ov26YKFWkl+sPffUM5qnp6fWq2cvrSS/WLvt5lubHZNpq59GjRhpdAiWQHmWg/IsD+XauYT5ifX+0iCeWALbs6GP3rg2PQMOHTIstDaTkyu6o7u70GzdRj/PRUVFrIpfxar4Vfz+5x+8Mu9Vzr/kQtzd3bn6yqsoKCigurqaqy6/kkEDBzL3wvO5+/57qaiooGNHITA7O7vZ1zO8+slZ+Pn5Gx2CJVCe5aA8y0O5di72pKak2hcQM0j30Ztk7GyH0yMczY5dMMyFunW74vO8e7doOBUY2IGysjL27N1Dp06dGDtxPAcO1HZ/G643EN6waUOzz23akpr4dtDi2wwoz3JQnuWhXDsXe1KzKy2/Zp89qWnPjYTt7NjlWrN1u+LzfPZZZwOwdNlSAH5e+AtBHYKI7hpdc4yXlxdXX3k1W7dtZVtSUrPPbdqkJjY21ugQLIHyLAflWR7KtXOxJzU2v9q/+GP1GhKzlNS46+1aOwdCB29j4zH6eR42dBgXnX8hp592OheedwHzX5nHi88+z9JlS3nj7TcBePnVV0hPT+eLTz7n5htuYs4557Lg+5/o3q0bt911R4uuZ9rqp7DQMKNDsATKsxyUZ3ko187FntRUegYBB/m/O+HUk6CqCv5dZWhoDmHHLrB5Q4UXeB4RpTXrDhoXj9HP88ABA3nx2efx9fWluLiYrUnbuPv+e/jgow+pqqoCICc3h1NmTOeJRx/nvnvuxdPDk3UJ6zlt9umsXrO6RdczbVKTsDHB6BAsgfIsB+VZHsq1c7EnNYm70rjsAnjsAfH6pnth1Vrj4nIUO0QPazzDgHTjkxqjn+ePP/2Yjz/9+LjH7d23lwsvvajN1zNt9VNEeITRIVgC5VkOyrM8lGvn0lFPavoN9uWdl8T2Uy/Dmx8YFpJD2bUXqqvBS5+r0eiRha32PJs2qYnqHGV0CJZAeZaD8iwP5dq5hOpJzTXXZOLpCZ9+A/993NiYHEl5OexLcZ2JLa32PJs2qUna3vzW0orWozzLQXmWh3LtXOzVT34h1fy1DK68GTTN2JgcjSv1gLLa82zapMbHx+Am5xZBeZaD8iwP5dp5dPAGL3exnVvixtmXQkWFsTE5gx27aktqugWDt7txsVjteTZtUtOj+/En2FK0HeVZDsqzPJRr52GvesIT0nJDKCo2NBynsWMX2Pygwg3c3aC3gR2QrPY8mzap2bvPBAMetAOUZzkoz/JQrp2HvZGwzQdSDpiwiEZnxy6w2YAg8bqPgVVQVnueTZvUlJWVGx2CJVCe5aA8y0O5dh729jRuvpCRaTM2GCeyY5dY+0aKtZHtaqz2PJs2qWnptOiK1qE8y0F5lody7TxqRhP2BZu7eXvlpKWLiTk99HY1PUKMi8Vqz7Npk5q09DSjQ7AEyrMclGd5KNfOo25Ss3tvqbHBOJnk3eAWLLZ7GpjUWO15Nm1Sk5mVaXQIlkB5loPyLA/l2nnUrX5K3n3I2GCczI5d4Ka3qekRalwcVnueTZvUDBsyzOgQLIHyLAflWR7KtfOoW1LTseMgY4NxMjt2gXuw2O7kb9zEllZ7nk2b1OTm5RodgiVQnuWgPMtDuXYe4YFibYXqpx27wOYFlZ7idXeDqqCs9jybNqlJTk42OgRLoDzLQXmWh3LtPCI7iHW5DTZu2m1sME7G3gOqpl2NQVVQVnueTZvUjBk9xugQLIHyLAflWR7KtfPo6C/WeaXm95ys52zeenduo3pAmd3z0Zg2qSktLTE6BEugPMtBeZaHcu08gvR2JZnF5vdcUgIH0mrb1RiV1Jjd89GYNqlZs26t0SFYAuVZDsqzPJRr5+DhBv76HEgH863huW4PKKOqn6zguS6mTWomT5xsdAiWQHmWg/IsD+XaOYT66hs2SMmyhudtO2rb1BhVUmMFz3UxbVJTWVVpdAiWQHmWg/IsD+XaOdjb09h8IC3LGp5XrK5NaqI6gJ+n/Bis4Lkupk1qlq9YbnQIlkB5loPyLA/l2jnYS2psPpCeaQ3PS1eCm4+4ZzCmW7cVPNfFtEnNWIu1+DYK5VkOyrM8lGvnUFNS4yeSGit4zsiE5LojCxuQ1FjBc11Mm9R4e/sYHYIlUJ7loDzLQ7l2DmF6SY2bD6RnWMfz0pXGtquximc7pk1qrFbkZhTKsxyUZ3ko184hXB94z+ZrneonqJ/UGNEDyiqe7Zg2qRk8yNzzirgKyrMclGd5KNfOITpMrKs8Ib/AOp6XrQR3vfqpdyf517eKZzumTWqCgoKNDsESKM9yUJ7loVw7h876H/ZivTOOVTynHoSMMrEdFy7/+lbxbMe0Sc3adWuMDsESKM9yUJ7loVw7B/tklvn6H3greV6eJNYdvcHLXe61reQZTJzUxMR0MzoES6A8y0F5lody7RxC9PaqWYfE2kqe/4gHvMBmg27Bcq9tJc9g4qQmvJMB5XwWRHmWg/IsD+XaOQR6iHV6gVhbyfPSFbXtauIi5V7bSp7BxElN4pZEo0OwBMqzHJRneSjXzsHXJtapuWJtJc9790OZPpnn5MFyr20lz2DipCY4KMjoECyB8iwH5VkeyrXjCfACe1OSPRlibTXP+wvEengPude1mmfTJjXR0TFGh2AJlGc5KM/yUK4dT5ifvuEBKXpSYzXPCfvEuofksWqs5tm0Sc3OXTuNDsESKM9yUJ7loVw7HntSY/OFND2psZrnvzaKdZAG3t7yrms1z6ZNahQKhULhGkTo3bnd9NGErci/W8RaOwTjRhgbi5kxbVLTp3cfo0OwBMqzHJRneSjXjqd7hL7hDTl6Q2Grec4ohiobUA2nj5N3Xat5Nm1Sk5qaYnQIlkB5loPyLA/l2vF006cHKLOBpoltq3nWgJwjYnviQHnXtZpn0yY1BYWFRodgCZRnOSjP8lCuHU8XfXbqQ1W1+6zoeUeWWMdFgLukkYWt5tm0Sc2ggdaaxMsolGc5KM/yUK4dj32KhMLy2n1W9LxZLzTxKIUekgb6tZpn0yY1WdlZRodgCZRnOSjP8lCuHU+Yr1jnlNTus6LnPXliXVUIA+LkXNNqnk2b1KSk7Dc6BEugPMtBeZaHcu14grzEOqOodp8VPe/JF+vqAnlJjdU8mzapGTlilNEhWALlWQ7KszyUa8fjp/+lsU+RANb0vNee1BRCf0mdkqzm2bRJTWFhgdEhWALlWQ7KszyUa8fjrfd42lenJsSKntPtJVVVMKiXnGtazbNpk5rNidaaxMsolGc5KM/yUK4di4cbuFeK7V3ptfut6LmiGvLKxHbvSHCT8BfYap5Nm9RMGD/B6BAsgfIsB+VZHsq1Ywnzr93eeaB226qe0/Qe1p4V0LO7869nNc+mTWrKy8uMDsESKM9yUJ7l0d5d9+sEcZ2MjqKWXp3F2uYDaXWmSGjvnltLRrFYV5fIaSxsNc+mTWpWrY43OgRLoDzLQXmWR3t3/fR0WHUd/HYFXHQC+HvKu3ZHP7h/Esys88e6T5RYV3lBVZ3B99q759aScUisNUlJjdU8mzapsVqRm1Eoz3JQnuXRnl0Pj4KJPcT2qK4wbzZsux1emgF9Ozrvuj1C4IXTYPMtcM9EeOcsGBcj3useLtZHbPU/0549t4W6JTX9Y51/Pat59jA6AGfh4W7aW3MplGc5KM/yaM+ubxsv1j9ug43pcMkQ6BUGlw+H2SfAwOfgcKVjrtWlAwzvAucMECUzbnrSUlAGwT7w+Xkw4yPoGir2l1TX/3x79twWMiWX1FjNs2nvdsmyJUaHYAmUZzkoz/Jor65jO4rkolqDp5ZCcg5kR8FrF4L7Cgg9BP+bDvcvbN353W1w4xgY0RVGdIHOgfXf9+gO3sMhqDPkfQlBOfDthZCtjyZcdKT+8e3Vc1tJt5fUHIK4PqIHVHV1059pC1bzbNrqp1EjRhodgiVQnuWgPMujvbq+ZaxYL9wBRe7wwyfw2VsQ2g+8TxTvXTsM+oS17vyz+sEjJ8OsOJHQVFaDrSN4nQCBl0DAmUAklFdCyLngFiqOG6z/65x3uP752qvntmIvqak6BD4+zu8BZTXPpk1q/Pz8j3+Qos0oz3JQnuXRHl137QBz9XkL11fD1hVw5gw4cgT+70mYdDO4dxdf+O9f2Lpr3DhGrL/dAjM+hC98IehiWOcNwcPAIxy8IiGwG1xxJ6SfALaA2s9nFtc/X3v07AjsbWq0EtA051dBWc2zaZOaeIu1+DYK5VkOyrM82qPrG8aApzusToPHXoTQEFi/EYZPhSdegDXr4ZsMwAMGBsOFQ1t2/jHRosqprBLu/w12l8HVl4v3HnsBDh2q7dlUWQkffwn9ToL/roUqD5HcbDlqXsX26NkR2EtqbBpoZdC/r3Ov50qeAwIC2LEliZL8Yt6a/2bN/pjoGEryixtcRrawpMm0SU1srIRm5QrlWRLKszzam+tQX7hUT1I6jIPAAFgeD2Omw5ak2uNufxqO9BPbz54OQT7Nv4a9lOarzZBTCnfcAL6+sHo9/Lmk4c9oGsz/FuKegbmL4Kuj/ra2N8+OoqK6drZyrQQGODmpcSXPDz/4EP7+/lQ30oho3uvzOOf8OfWW5OTkFl3DtA2Fw0JbWXGsaBHKsxyUZ3m4mmubTSQIjXHtKPD3gtQyGHMGlJXBVbeKEpO6FBXDbV/AmxPBPw+emw3Xfn386/cMhRn6H97XV4tSoBuuFK8fe/74n88phd+XHLvf1TzLJPMQdPSXMwCfq3gePmw41151DbfccRuvvPBSg8ckbtnC4t8Wt+k6pi2pSdiYYHQIlkB5loPyLA9XcT16BMQvhj0rIahDw8f4e8K1eul811NFAvTQM5C8q+Hjv/gBtoaI7XP7Qv/w48dx/SjRXfv3naJH1S3XitKgjYmw8PeW35cdV/FsBA31gHIWruDZ3d2d+a+8xsr4VXz48YdOvZZpk5qI8AijQ7AEyrMclGd5uIrr/0yAvqsg5C94/ZGGj/nvFAjxhVJPCB4M6zbCC/ObPu+lj4JbDNiA605p+tgQX7hwiNieFw8dAuHW/4jXj7/QgptpAFfxbAT2djVHCpzfA8qZnoOCgujZoyc9e/Rs8rhbb7qFPr37cNOtNzd5nJe3F15eXm2KyfDqp5iYaPz9/ZkwfgIe7h4sWbaEUSNG4ufnT/zqeGJjYwkLDSNhYwIR4RFEdY4iaXsSPj7e9Ojek7379lBWVk6/uH6kpaeRmZXJsCHDiI2NJSUlhTGjx1BaWsKadWuZPHEylVWVLF+xnLGjx+Dt7cPyFcsZPGgQQUHBrF23hpiYboR3CidxSyLBQUFER8ewc9dOAPr07kNqagoFhYUMGjiIrOwsUlL2M3LEKAoLC9icmMiE8RMoLy9j1ep4h99Tbl4uycnJLnVPE0+cSEpKiqnuyRV/TrNnzqKqstJU9+SqP6ehQ4aSvDPZ8HuaELUJikvRymF2FFx5cQTx60Nr7ql/hwKuHy2mve50OlRV23jlnUEEBx087s8pIWsxQ6jijOHePPFHUKP3dEX/XPw8c9lZ4MP+qk68+qwfwUE7SN7lzpHqUzlxfGGrf06zZ86isLDQks+ee4cNwEEO5XgSSAXDT/Cmb9+TnXJPZ8yaTYC/v1PuqTl079ad+++5j6eff4ZduxspQtR57aVXee2lVyksKmTdunW8/d67/PLrL81NJ2rQjFyefvwpp5y3Z4+eht6XVRblWXk22+IKrt1taFkPoeU/iJb3oFhn/IwW1EG87++JlnCj2J/zIZqWi/bwvc0///kTxGfzn0ALC234GG93tO23i+PmDETz80PLThbXuvBcc3g2arlmhPC69Qnh8/7bnXctZ3puzt/vBd/9qK1evkrz8PCo2VeYna+9Nf/NmtdeXl7a2DFjtbFjxmpTJ0/Rrr36Gi1h9XqtJL9YO3/ueS2KybTVTz4+3kaHYAmUZzkoz/JwBdcjuoBntZjZ+id9ZmvvjfDGo2L7kVOgR6joKh06TfRyeuLF5p//u5VQ7QaUwW3nN3zMuQMhIgAOFsIP2+Cmq6FjGOzaA1/90Ja7E7iCZ6NI16ufqvW1M3tAGen5vDlzOWnqSfzv0YcJ6hBEWGhYTcNlb28vwkLD8Pf358iRI6yKX8Wq+FX8veQf3n73HU6bdRpVVVVce9W1LbqmaZOaHt2bruNTOAblWQ7KszxcwfXUXmLtEQOvrYIdBcARmBUAL90EVw0X7/tNg1+XwqlzoaKi+eevqIb9+gi/F5zY8DGX69d4ay34+sM9enOIR5+vP9t2a3EFz0ZhH4jQW/fozLFqjPQ8dfJUAL7/6ltSdu+rWTw8PJhzzhxSdu/jxWcbbpyVmZVF8aFiAgMDG3y/MQxvU+Ms9u7bY3QIlkB5loPyLA9XcH1KH7H26AZ7U+HSL2DF9cB+uDwcqACtL1z1NHzyVeuusXAT3DQKOgPDh4jB+uxEBojSIoCvE0Xj4LBQ2L4TPvum1bdVD1fwbBQZeglNkAdo2vHngLp4LowfJbrG/9DCJiZGen7p1Zf48usvj9n/03c/8s+Sf3j5tVdIz0hv8LMnTZlKcFAwX3x17OebwrRJTVlZudEhWALlWQ7KszyMdh3qCydEiu2KTpBfAPnAk0vgf5OBCjjsCSfeB7sPtP46y3aLpKYyDa66uH5SM11PqtYegHJ3uPNG8frhZxw3+aLRno3E3vvJyx1K88E/VPSA2tVI/nH+WXD6NDHgYUuTGiM9b9+xg+07dhyzX9M0MjIz+WfpEkA0ch47Zix5eXn4+fkyYthwLr/0crZu28oTTz3ZomuatvqpuS2zFW1DeZaD8iwPo11P6SnGhXHrCKkFtftfWQ7b8sX2ue+2LaEBWHNAzOhdXQAXzBB/MO2cpg9CuzhZjB4cHASJ2+DrH9t2zboY7dlIjlRBXqnY3rNNrJuqguqt1yB16dzya7UHzzHR0Tz/9LN89dkXzH9lHuPHjefp555h4kmTyS/Ib9G5TFtSk5aeZnQIlkB5loPyLA+jXZ+kt6fx7AYpdRKXag0u+wIuOgFWprT9OoVlsD1bDMDnVwxnzxRVS36eMEn/I7oyE36/Tmw/9AxNjmzcUoz2bDQZhyDUDw7sgUETxMjCCxYde5ybG/SIEdutSWpc0XNQp5B6r//652/Cu0Y65NymLanJzMo0OgRLoDzLQXmWh5GubdRpJNy9flIDsCsXHvnbcdeL15OjqjS48iKxPbkn+HjAvnw460IxenDCppZXexwPqz/T9tm68/ScI65Pw8dFdwH7eHRRrfi7bzXPpk1qhg0ZZnQIlkB5loPyLA8jXQ+IEN2oKwGPzpB60LnXW60nTRUHYeqJ0KNbbdXT0gNw0zVi+39PO/7aVn+m7Y2FD+eJdd/eDR/Xu07npaAO4O/fsutYzbNpk5rcvFyjQ7AEyrMclGd5GOnaXvVU3AFsHpDi5KRmlV5SU5kJWgV89ibM1btyz70J/Pwgfl3b5nhqDKs/0/bGwpo+Y3djJTW9e9R/3dLSGqt5Nm1S09LpyhWtQ3mWg/IsDyNd25Mat65ifXT1k6NJLYS0IvGHoDIDRnYFryqweUPkYHHMg08559pWf6bT64xVU1UlSmEiG5imqVf3+q9b2q7Gap5Nm9SMGT3G6BAsgfIsB+VZHka5DvCC0dFiO2ygWDs7qQGITxXrJd/Dn5+I7ZXpMPlMGDAO/lzinOta/Zm2l9RE+MOefWK7oSqo3keNndfSpMZqnk2b1JSWlhgdgiVQnuWgPMvDKNcndhfjluwvgIAose+AhI4r9qSmcCcEF4ntd/6BZSth27FDjDgMqz/T9obCEQGwQ5/nsaEqKHv1U3aOWLe0+slqnk2b1KxZt9boECyB8iwH5VkeRrm2Vz1t0BuOZmZBuYRx01brSc2J3SGuE1RUwV+7nX9dqz/T9obCkYGwXa8haqikxl79tGyVWLe0pMZqnk2b1EyeONnoECyB8iwH5VkeRrkeo1c97dPnA3J2I2E7WzOhuBy89VHLlu+HIgnJlNWfafv8Tz4esF8fSfjokprOkaKxdmUlrFwj9rW0pMZqnk2b1FRWVRodgiVQnuWgPMvDKNcd9a66HsFiLaM9DUCVBuvqJFCLJLUrtfozXV4F+fqkonm6/6OTGnvV0/5U2KeXqLW0pMZqnk2b1CxfsdzoECyB8iwH5VkeRrkO0acpCAkXa1lJDdS2qwExNYIM1DNd267mkN5epls0+PjUvt9LT2p274OD+ryPLU1qrObZYUmNj48PA/r3x9PT01GnbBNjLdbi2yiUZzkoz/IwwrW/p2gkDBCuz47t7IH36vLrDvh4A7weL7p5y0A907Xtanw1yM0TUyL0qdPbyV5Ss2svpOlJTecIsNmafw2reW5VUnPf3fdy3py5Na97dO/BloTNrFq2koTV64iMdMwcDm3B29vn+Acp2ozyLAflWR5GuLaX0pRVQhe9bY3MkpotmXDrL/DfP+RdUz3TtSU1kY30gKpJavZAuj7bgZcXdAxr/jWs5rlVSc1Vl19JaEhozeuHH3wITy8vHnjwv2iaxn/vfcBhAbYWqxW5GYXyLAflWR5GuA7xE+v8wxBtH3hPYkmNEahnunasmsgA2L5TbNftAdW7TvVTZaXoEQctayxsNc+tSmrCwsJqZv709/fn9NNm8MJLLzDvjfm89vo8Tjn5ZIcG2RoGDxpkdAiWQHmWg/IsDyNch+j/TBeU1f7BkllSYwTqma4dVTgisOGSml51Smqgde1qrOa5VUlNRUVFTduZqZOn4uXlxbc/fAdAWlo6EeENjPUsmaCgYKNDsATKsxyUZ3kY4dpe/VRaBe7ucOQIZGVLD0Mq6pmuLanpXLekRk9qwkIhOEhs79kv1q1JaqzmuVVJzbakJGbOOB0/Pz9uu+VWEjYkkJZmL7nxo1zGiFHHYe26NUaHYAmUZzkoz/IwwrU9qTmifyOnHgRNkx6GVNQzXX9UYXtSE6dXP9mnR0g9CGVlYjstQ6xbUv1kNc+tSmreevctzjnrHDJS0hg5fATPvvh8zXvRXaPJyc1xWICtJSamm9EhWALlWQ7KszyMcB2qJzWa3nnU7FVPoJ5pqD+q8J59UFEBAQHQJap2JOHde2uPb01JjdU8e7TmQ19+/RVlZWWMHzuOv5b8w+LfFtee0MODBT//7LAAW0t4p3CjQ7AEyrMclGd5GOE6WE9q3PUGw2ZvJAzqmYba6idfT/BzFw2C4/qIxsJ1u3PbsSc1LSmpsZrnViU1AD8u+IkfF/x0zP5nnn+2TQE5isQtiUaHYAmUZzkoz/IwwrW9+sm7g1jLHKPGKNQzLbrwFxwWSW3nQFEFFddHLPbqp7pJjb36qSUlNVbzbNoRhYODgowOwRIoz3JQnuVhhGt7UuMfItZWqH5Sz7TAXgV19Gzdjqp+sprnNiU1w4YO4/prr+Peu+6pGXDPZrNha8lwh04iOjrG6BAsgfIsB+VZHka4trepCe4k1lZIatQzLbA3FraX1EDj1U/2kppOHcUgfM3Bap5bVf3k6+vLFx9/xtQpU7HZbGiaxpJlS8nIyOB//32QAf0HMPfC8xwda4vYuWunode3CsqzHJRneRjh2t6mpmOUWFuhTY16pgX2djVdg2CFPu/W8BNEl24Q7Wzs5OaJnlA+PmK6hP2pHBereW5VSc0jDz7EpImTeOjRh5l8ytR6JTO7du1i4IABjopPoVAopPDfyfDLpTC9W5H0a9sH3+vQUayt0KZGIUgQo6Fw5XDYv09s2xOarGwoLhbvPTgFhnZuXbduK9GqpObM2Wcy/83XeenVl0nanlTvvYLCQsJCWzAxhZPo07vP8Q9StBnlWQ5m9HzFMPj5EnhgstGRwDUj4a4TYXw3uHm0pBkd62BvU2PzgfwCOHRIegjSMeMz3Ro+SoD9+RDVAS6Mqz/o4q69ENcJnp4Od0yAm8e1vLGw1Ty3epqEDRs3NPheUIcOuLkZ3/44NTXF6BAsgfIsBzN6vnokTOgO144ETwO/Ms7oJ/5o2OnoeRg3ic0C/T3BW28IYPOxRnsaMOcz3RrKq+DRf8T2beNh97ba93btgRdOA099BvdBES1vLGw1z636Ktmzdy8Txk9o8L2JJ05kf4rxEgsK5f+3ZUWUZzmYzXOvUOivD58R5COSGyMY3w3eOhPcbOA1CHAHWxWMl1iDbi+lqdQAD+skNWZ7ptvC91th3UEI8AKvOkmNdwqM6waHK8TrnqGQ1cKxaqzmuVVJzdvvvc1Vl1/J048/xZAThgDQvVs37rr9Ts6bM5dvv//WkTG2ikEDrTWJl1Eoz3Iwm+fZ/eq/ntnXudfrFg3/uRwuqdN/YUA4fD5XlJKkeoDvFHALFu+dMc658dTF3ki4HLDZrNFIGMz3TLeV//0h1j3KoCoXqg/DeP0v9FNLIa1IJN9V+oD9zS2psZrnVvV+eue9dwkLDeOOW2/nhuuuF/veeBubzcZPPy/guTrTJhhFVnaW0SFYAuVZDmbzPDNOrH/eDrPi4LS+cNcicNZ0R3fcALdcC5WVsH4jZKXCV+dDBx9YfRDG/x/Y3CC3CkKAcU5OsupiL6mp0qdIsEojYbM9021lVSr8sl38bhxeDm6+EOABWzPhjdUwPka0u/HW21s1N6mxmudWjyj89HPP8OHHHzJ92ql06tSJoqJCVq9ezabEzY6Mr9WkpOw3OgRLoDzLwUyeo4NgWBRUa3D/bzCpuxijY0QXWOukP+gTx4q1hwfMexpKvocuQZCcA397wvQg2JIEKxLgvJ4Q29E5cTSEfYwaN70HlFWqn8z0TDuKh/+CU2MBfWyaag1uXwiV1ZCYCdNjIUzP/Jtb/WQ1z21qnpeRmclHn3zE8y8+z9vvvuMyCQ3AyBGjjA7BEijPcjCTZ3spzaoUOFgEv+ujqF55ImxcCi89AYGBjrtecBAM1tvIlJXBGEQbnuJyuPQbuOpK8d68d2HJFrHtdRgGxDkuhqawl9R4BYi1VZIaMz3TjmJ3Hry/rvb1Rwm1iX5iplh30ZPf5pbUWM1zq0pqRo8afdxjVq9Z3ZpTO4zCwgJDr28VlGc5mMnzLD1ZWKCPBrFwB5w7EM4fDkED4ISB8MNCWLbSMdcbPxrc3MQQ9Ou+h9P1kVhv/w26DYLY3lBYBJ9+A731ZKo6H6ZOhK3bHRNDU9iTGj99ioTmDKhmBsz0TDuSZ/+F8weLeaEe+bt2f6LelbtXEGjV4O8PHQKhqLjp81nNc6uSmj8X/Y6mNV373aFjcGtO7TA2J1prEi+jUJ7lYBbP4f4wOlpsL9wh1pWdAXegCKrzwD0M+sU6LqmxVz1tWgZT9a7a3iNhODBQT7A++BxKSmDXEfFaK4Vp4+C1tx0TQ1PYB95z94OKitpxSMyOWZ5pR5NbCi+tEKWYhWW1+/flQ1E5dPCGgv0Q0gO6REHRjqbPZzXPrUpqrrvx+gb3X33l1URGRnD1dde2KShHMGH8BBYuWmh0GKZHeZaDWTzPjBM9ONYdFF/aZ54OX74DFYuhci8s/xomXS+SGkdx4lioLoOhOeDrBYmFMGEs3DlStLEBeP19sS6pgMIqL4LcjzChryjhqa52XCwNEeIn1jZvOJDm/Ou5CmZ5pp3B/HioOOo50BCNhsfGQN4ePanpDEnHSWqs5rlVSc1nX37e4P5vf/iOXxcsZMqkyaxYuaJNgbWV8vKy4x+kaDPKsxzM4tle9fRzEpwxA755XyQW64phABCmz1DgqKTGzw9GDIGypdDJS4zcesZ78Ok4mHGKOGbxX7Bzd+1n9hX7c0LwEXwrYOhg0VvKmdQdTdgqVU9gnmfaGRyd0NhJzBBJzZEWTJVgNc8OHcezvLychx55iMsuvtSRp20Vq1bHGx2CJVCe5eDqns8ZAM+f1vQxIb61g+ztscHnb4mE5sMv4Oz/g6pq6OoN1UUQ56CR3ceMAFs2HNEbAF/3E+QfhlsfgPJysW/eu/U/s36vaKRQnQcnTWz5Nf8zCvbfA99c0Lzj7dVPNl/Yb5FGwuD6z7QrYm8s7F4g1s1pLGw1zw4fnNw/IICAgABHn7bFNDbiscKxKM9ycIbnDt7w0blivJZO/q07R0c/+OpiePdsuGoETG9inK/TYsHDDXbkwptvi1KURX/C1bdCVjHE66UUFbshpqtoCNlWJo+FUr2x5Scbaq+xaw+E9wWPcFj4e/3PaMEio6rKh6kntvyaE7oJt6Oim3d8TfWTxUpq1HdHy7E3Fg48AprWvJIaq3luVfXTXXfc1eD+iPBw5pwzh/UJ69sUlCPwcG/1EDyKFqA8y6Glnsf1hp8uFv/9n/4RrN527DHT+tSO7HvBYHh1Vctimt1PzEvTsU7y8eQ0+K2Rdomz9aqnTsPFf5hbkuD8q6GqSuz/ZbuYtqAkCbyHitKatlb9nNUTqg9ASZUYA6QujfUayTzSARAlNSeeDJ6eogFvc7AhqgdAJDZdO8CB40z6XVNS422tpEZ9d7Sc7dlQUQW+7qAdal5JjdU8t+puH/rvg42+t3rtGm6547bWxuMwlixbYnQIlkB5lkNLPT91KnhUAYfg8YvglP8ee4x9vBiAS4Y2P6kJ9hFVTecMFK9tYeA3AUoWQk8/OLM//HhUEjUmGk7qLba7nShmIp51Yf3EYuEOeGo62LJEw962JjXdQqGr/p/tK+sh73DzPvfdks080BeqCiHQC0YPh+XNLMHv2wnC/GpfnzocPllZW9XVEPY2NW4Wq35S3x0tp7xKDBg5IAKqspuX1FjNc6uqn/oPGXjM0u+EAXSMCufkU09hz949jo6zxYwaMdLoECyB8iyHlng+uRcMDql9PTIYwjvVP8bXA07RkwzNBr3DYFxM885/+3iR0FRWQ5IvdLgQioPBZ4R4/+Gp4O1ee3yIL7x7lqh68uwLFf5w5iWw76h5b1MLYUeOKO2oSmt7Y+H55wCVUN0Jnv+t+Z/r1m8UReVg06C6sPlVUG5ucOc59fe9dh+UHoDd62HhlxARXv99v6Nm6LZSSY367mgd9nY1VdnNq36ymudWJTWpqanHLAcOHKC8qX9HJOPn54AKecVxUZ7l0FzP7jZ49GSx7anPX6RlwL1X1z9uSi/xB9WtA3jro+1eMaJ5sZyhV1k9tgpGXgU2d7j0BvAeDjZ/6BYC19YZxPT12WJKAlsw+J0EV90Kq9Y2fO41+h/1yvS2JTWn9IbxkYAN1ni3bE4pP78AduqTBja3Xc20KbBhCVwwXryu1udxOpwukp2e3UVvqyED63/OPkUC7lhqhm5Q3x2txd6upiobIsNrhyVoDKt5dnhDYVch3mItvo1CeZZDcz1feAL0Cxd/VH2nQJZeYnL5mPoNby8bI9aevaCqp9g+awAE+TR9/qGdRdJScgRGnSO+UBf+Lpatu8BX/6N+1wRRDXPDaDGXTUU1+M+AxJ3w+beNn3+N/ke9Mq1tPaAe17trew+DxQkt+2z86nh25ort6jwYOxJ8fRs//sP58Nu3MKg/HNGTsvf0qrxNyyEiTjSIhmOnXrDP0G3zhvRMOHKkZbG2Z9R3R+uwl9QcyRC/f6OGNX281Tw7PKmZPm06RTkFjj5ti4mNdeDoXYpGUZ7l0BzP/p5w/2Sx7TdWTJD4xj/itecBuPIise3lDif1ENtLD8Lc+8CtoygseOnKpq9xVn+xXpUB588R2w89I9bLVoFnP8i1idmv3zoTHj5JvLerk+hp9NOips9vT2qqMqF3t+P/F9oQ/TrpE1K6g89oEVdLiI2NrSmpKT4IXl6ia3hDeHjA3DPE9gdvgu0wHKmCj/S+ErEdIScHVuuv+x81+3fNGDW+1qp6AvXd0VrsJTW2Q6CVi1LCprCaZ9OW1ISFhhkdgiVQnuXQHM83jhWzXWccBu8TYO9++HydmOm3KgPuuhTc3eHxK8G9CvCFq58Ug8/9rk+ad3YfGDW88WucoSc1oUPFuX5aVNuYd+kKsNmg/ATx+qRe4OkOP22HAWeKfcdLanbmQF4pUAluhdCrx3Fv+xhO1b/DPaLFpJWbtrTs82GhYSTrJTWl6WLdWFIzeIAoxcnLh7++EfsSDkJSNhyuEFV83YJr55A6uqTGqgPvgfruaC0FZZBaILarcmD61KaPt5rnZv8fNPfcOc067oTBJ7Q6GEeSsLGFZc6KVqE8y+F4niMC4GZ9jqPllRDnDgmbIasEVqTAid0g/BDccBVcfSKQDOvy4KD+R/ua12DX3eCeBz+8AEPniB5KdRkWBTHBUFoJk+aKfQ89Xfv+v3opd9xE+O47OKUX7M2DnwrhskBxreP1ZtKAtQdgeqxoLBzXB3bsbIagOkzXq608e8Lfq1s+7UDCxgQC9GognzIxHsjYRpIae7Kzen1tV+6VKSKRTM6BEzpDXCfYpg9lf3RJTWid6qf9+1oWZ3tHfXe0nsRMiA4W7WpGDoWQYMgvaPhYq3ludlLz3lvvomkaNpvtuMceb7JLGUSER5CWlmZ0GKZHeZbD8TxfMxICvET1ja/eSHf9JrH+LlEkNRXJ8MoTUPSuSB6e/rH28wWH4adtcHY/CM6EFx+Di6+rf40z9VKaomCI8oZvF9QvBUnPENMN9OkFvxXDuCNw5ffwnzvF+wsWN+9e1+hJjb2x8E+/Nu9zINrxjOwqtj17wLKfmv9ZOxHhEWzZnEZlNXi7gVbSeEmNfX/8OjhDT2pW6b26krJFUtM/HP5cLca66RAIXaPEHE9Qpzu3BUtq1HdH60nMhBl9IWcndBkiRr7+dkHDx1rNc4uqnx5+7BFOmzWjyeWRxx91VqwtIqpzlNEhWALlWQ7H8zwoQqy/3ATDh4rtBD2p+Xm7GLCrKhuOJIkZqA9VwLKjRl54b41YH9kB588SDV/rcqbe66nnZFH6UbeUxs5SfWbt2GFw0nuwKQNm69MnNDc5WW1vLNyKHlAn9xYTZlaHgFsg/NvC9jQgXFdUw9588bosEzp1bLgqbIxeVbdjM/QMFVM92NsFbddLuuI6iYRmp+67bmlNvSkSLJbUqO+O1mNvV1Om5ypNtauxmucWNcPbum0ry48zUaW/C0yRAJC0PcnoECyB8iyH43nu21GsU0ogtpfYTtgs1nmHYele8Qf/0D+iQfDCpGMnzVuZAjtzoU8YVGyDJ/4Ls/XGxcOj9OJuN/DsDp9+W1ulUpdlq+DqS2DiOLj3ERg5TIylUVQM/yxv3r1uSIMqDdyLYWC/5n3Gzql61ZNvrOhJtG5jyz4Pta535ggXKVshrpfoBbV7b+1xYaGiVArAU2+Dk5gJRfrIFklZYt1PHyNo63aR0AyIg9/1Btx1ez9ZLalR3x2tZ7Oe1ARVQXVp00mN1Tw3u6SmpKSEysrKZh3bnCoqZ+Pj4210CJZAeZZDU579PEXCAeAdLsZFST0I2Tm1x3y/Vazd9V/hn7c3fK731ol12XI4tS+M06uy7FVPPn2gCnjk2YY/v1T/n2fEENGFfPap4vXiv5rfXbm0ApL1UpJeLRhiw9MNptqTjB6waWvTI/k2ht21vVt33j6xProKarReSpOUDEP0xGXl/tr3k/SSmj4dxcCDDbWrCRczMoiGwhYaowbUd0dbSC2EjeniuSpZBt2ioW8jQyBYzXOzk5rImCj++ufv4x63Zs0aTps1o01BOYIe3XsaHYIlUJ7l0JTn3mGiyiW7BHrrJRv2Uho7C3dAuZ7QlFbA37sbPtfba+CrzUC1mPbgldvEfntS49kH3v+sfolFXVIOiBIHDw9RsnGGverpOL2ejma5XlXjmQ9dmll6Pk6fSLIUcI+ANa1sH2l3nWxPCgvF6ujGwnXb04yr00jYzoFC0fvKy11UTTXUAypCT2pKquDQodbF215R3x1t4x79d6pqu6iqbay0xmqeHd6lO78g/7hVVDLYu8/4qRqsgPIsh6Y8x+mlBDuyYZje+dDensZOUTn8pScyf+6Cw40UumrATT/DslSgEvrsgWcugK5BgCdUd4bHnm86Vnu7msvPF+1yKitrB59rLvF6clCV3vxB+OxVT+WdRNdy+9gwLcXu2j5WTahe8Dx4gJhZ3I69pGZzghjwEGpnAQfh0t6upl8jPaDC9JKozMLWxdqeUd8dbWPtQfhc/z0/vASmTWr4OFfyHBAQwI4tSZTkF/PW/DfrvRcSHMKrL73Cnu27yEnL4t+/lzJzxswWX8O049SUlbnOlA1mRnmWQ1Oe7e1pduTAcD2pWb/p2OP+8yPEvgjXH6dHUGU1nP8pZCIG97pWnyPKsye89Wltz53GWKYnNRfpo0AsW9V4d9PGsE+XUJUNg5vZWNg+Pk0nvaF0a0tq7K7t1U+RAXBgvyh9GjFE7LPZapMa+yjCSdmQW1r/XHUbC+/cIxK8oA61pU9Bes3AwbzWxdqeUd8dbeeRv0Sj/6pMmNRJDBR5NK7k+eEHH8Lf35/qo8ZZ8PX1ZfEvv3Lm7DN58ZWXuOm2m6moqOSLTz7jjFmzW3SNViU1NpuNe+68mzUr4tmyYXODi9H0i2thC0NFq1Ce5dCU5756Sc2ewtreQkdXPwEcOiKqqEorjn+9w5Vw2rtAnYkxq2PgqZeP/1l7SY2dlnTJtnOgCA5pQDWMa0bped+O0D1EjObr3xsKCiF5V8uvC7WuC8ogS68SqvxVzNo9Vp8bMC5WJCeHDkEX/Vt01f5jz2VvV9MvXLQpqukBpf+c/PVpLPZmti7W9oz67mg7WSXwpN7ovHotTBt37DGu4nn4sOFce9U1/N9D/zsmqbnhP9czcMBA5l54HvPemM+XX3/FzLNmsW//Pp5+4qkWXadVSc2dt93Bgw/8H76+vqSkpNAtphu5ubmUlJQQEBDIosUtrEB3Amnp1umXbyTKsxya8mwvqakMEKP8pmeIpa3sTYe30sAWCHjBm39AZtbxP7drT/3rN3d8mqPZqScU/YOPf6y9lGbvEbB5wdoNYtC81lDX9f/9Iarugsuh+FM4U6/iGjNcTHZ58Be4cLDYV7c9jZ26JTVQvwrKz1P0RAPYabFGwqC+OxzFO2uhyAO0Mri3gclXXcGzu7s78195jZXxq/jw4w+PeX/uuXNYn7C+3jxVbm5uHExLIyY6hmFDjzPBVR1aldScP/d8fvjpRwYNO4E5F54HwD0P3MfU6SdzpLyclfGtGBzCwWRmWfBfHwNQnuXQmGdvd+ihl6YEdxPrhkppWstjb8Aid0h2g6dea/7n7KU1m7fCvgb+2DcH+yB2Ec041j6K8GE9eWhtexqo7/qbLTDhLdiSB1RAXCZ8dT7c1xeKP4KIDNEtO+tQw0mNvVt3r1Dxs6rbWNg+8B7usMuCSY367nAMldXwoV4COAAYeNQvjDM9BwUF0bNHT3r2aLo49dabbqFP7z7cdOvNx7zn5eVFXN841iXU/tKOGD6CVctWMHa0mHl3YP8BzY6pFdPFQbeYGJ585kmAet28S0pKeO/D97nj1tv54acfm3WumJho/P39mTB+Ah7uHixZtoRRI0bi5+dP/Op4YmNjCQsNI2FjAhHhEUR1jiJpexI+Pt706N6Tvfv2UFZWTr+4fqSlp5GZlcmwIcPoG9uXDz/+kDGjx1BaWsKadWuZPHEylVWVLF+xnLGjx+Dt7cPyFcsZPGgQQUHBrF23hpiYboR3CidxSyLBQUFER8ewc5cYp71P7z6kpqZQUFjIoIGDyMrOIiVlPyNHjKKwsIDNiYlMGD+B8vIyVq2Od/g95eblkpyc7FL3NGniJF6bP89U9+SKP6cLz7+A73/4/ph7OvvEONzdllFQZuOk6VHAQbYkeTJ92lSH3dNnfw0jNy8HN7ednH5a8+5pabwHf/+bQJXWhdNP69mqn9OynRu4YUAJHnkQ1dmXQYMmNnhPwwf0YHS06IvebZw3UE7KwQj69wtt1c9p2NBhvPjKi/Xu6dGt/fnh3lVUxMO0PkAlYIPkMh9+TR3A1+uLCIy0MWzC0feUSWH5eoK8NeaePIR9KTuAw4wbFUTnkHKgDJs3ZOX4MGXSGJd89pz1+3TGrNl8/Oknprono35Oi7dXcueUPVTshpunBrCgYFLNPV171bX89fefTrmn5tC9W3fuv+c+nn7+GXbtPrZOODQkBA8PD3JycrDZbNx5+538330PkLglkbvuu4fvv/qWkJCQBs7cOFpLl7T9B7SLL7io5nVGSpo2c8ZMDdBmz5ytZR/MbPa5nn78qRZfvznL2DFjnXJetSjPruT57AFo+Q+iLb4cbcMSNC0X7YwZxsfriMXDDS3vYXF/50xq/Lg5A8UxK65Dq8oWDiLCHe86/ne0yu1oa+5CK12IVrUPLTLi+Of79TIR37kD0Qb2E/Hl70Gb2kfsL3wJLSzUeN+yF/Xd4dhl94fieVp0szzPzfn7veC7H7XVy1dpHh4eNfsKs/O1t+a/qQFaZGSkVpJfrL360ivarwsWaiX5xdpzTz2jeXp6ar169tJK8ou1226+tdkxtar6ac+ePcTF1Q62sC0piUsuuhhvb28mTZxIbl5ua07rUJKTk40OwRIoz3JozLO9Pc3OvNrxT47uzt1eqayGYn0agZPiGj9uqN6TaE+5GHhwf2rz2v40RmOuV60F907geyb4joGUfMhoRsl+3ZGFk3eLHlDBQTBKL1HXvCDXgr2f1HeHY9m6T6y7hNbfb6Tn8+bM5aSpJ/G/Rx8mqEMQYaFhNbOGe3t7ERYaxqFDh6iuruaqy69k0MCBzL3wfO6+/14qKiro2FF8wWVnZzdxlfq0KqlZ/PtvDD1hSM3r+W/OZ8app5F9MJNrrrya7374vjWndShj9Lo4hXNRnuXQmGd7z6diD/D0FKMIpx6UGJiT2a/3Rh3aRMOaAfoYMTbxXdmm9jTQuOt4fbRl+9QN9tfHo25j4SNHYNde8Xqs3sC4tIWziJsF9d3hWA7oiXHgUY1KjPQ8dfJUAL7/6ltSdu+rWTw8PJhzzhxSdu/jhWeeZ8/ePRQWFTJ24ngWLlpY8/nhegPhDZs2NPuarWpT8/hTT9R7/d0P31NRUcmUyZPZvmM777z3bmtO61BKS0uMDsESKM9yaMxzrF5S46UnN45sJOwKrN4Pg7pA3xAxw3VR8bHHDNATnnC9B1Rrx6ex05jrVWvrv25uUrOtzgB8IHpAxfWBwb2BnVDczOkjzIb67nAsB3KBIPA9ar+Rnl969SW+/PrLY/b/9N2P/LPkH15+7RXSM9K5+MKLuf2W24juGs2BA6LVvJeXF1dfeTVbt21lW1Lz569qVVJz+mmn8+viX9Hq9Jlc8MsCFvzSyNznBrBm3drjH6RoM8qzHBry7OEGvfWi5jC988GGRIlBSeD1n+DqG8BWAPffCvc/Xv/9yAAI8xOzY/cfLfa1taSmsWc65YDoqt45UryOb+Z17CU1PUJFN+6t2+HsmWKKhHKOHbDPKqjvDseyLxvoCZ5V9fcb6Xn7jh1s33HszLeappGRmck/S5cA8PKrr3D+nPP44pPPeeGlF8jIzOCqK66ie7duzDxLwuB7X376OclbtvPgA/9HTHRMa07hdCZPnGx0CJZAeZZDQ557hoKnu5hfqLs+9L69y7BZ2JsLhyqBarj5XIjuUv99e/fVfYXQpator9LW0qqmnulVeulMeTk0d4zR3NLaQfyGRtWOVaOViXVWA6VPVkB9dziW3fpwNG5VYr4xO+3Bc05uDqfMmM7KVSu57557mf/KPKqrqzlt9umsXLXy+CeoQ6uSmtvuup3UAwe45867SUzYxI/ffM8Zs2bj7u5+/A9LorKqeTOKK9qG8iyHhjzXnR6hn57UJJmw7eU6ffwXj0J44v/qv2everLPPbklCUrbWPLR1DO9PB4OHxZVXM2ddRzgd70n6zUjaxNPe1Jz0Ph+FYagvjscy66DgD5PmX32d3BNz0GdQvjPjdfV27d3314uvPQiunSPJrxrJDNmn87qNatbfO5WJTXvffA+U6efxNBRw3np1ZeJi4vj0w8/YefWHTz60CP06tmrNad1KMtXLDc6BEugPMuhIc/2RsL7CiFCbyy7fafEoCSxWR+duCoLLplbO2kn1DYSRq+Ga2t7Gmj6mX7pDfDrChNbOM/efH2g1Jl9oTwXqqqgWk9q9ll0DDr13eFY8goAvbdgbJ0STat5btOElrt27+Lhxx4hblB/Zp99Bot+W8zVV15FwupmtqBzImNVy3opKM9yaMhznF5SU6QXkKYcgBITtr3cpCc1GXpbwRcerX3PXv3UUf8/qq3tacA5z/T2bDE7ursbXDVE9ICyl9TsMn4Ue0NQ3x2ORdOgylNs94ys3W81zw6ZpTssNIx+cf0Y0L8/gQGB9UYZNgpvbx+jQ7AEyrMcGvJsL6nRgsTajFVPAJvSxdr3MJSWwOQJMOtU0W6gj57Y9Rkh1o4oqXHWM/2aPnvMRUMgeZtKatR3h+M5olc/xXSs3Wc1z61Oatzd3Zk5YyZffvoFO7ft4JknnyYgIJAHHvwvffr3dWSMrcJqRW5GoTzL4WjP7jborY/LEthVrM2a1OzJE42hfT3go7fFvjdfgE+eEj3ADldDYISYMXvbsR0tWoyznull+yAxA/y9wGNXbVKTb9HeT+q7w/GU6h2Su9SZVcBqnluV1Dz31DPsTtrJ5x9/ytTJU/j2+++YdvqpjBg7ktden0devvHDYw4eNMjoECyB8iyHoz13CwEfDyitgC76ZI5mTWo0RDIAsPo3yMqGqEg4c6zYFxANNhus2wjVDhjIzpnP9Dy9bU3/SkDvept/2GmXc2nUd4fjKdQbr4cH1u6zmudWjVNz3bXXsWXrFp589im+/PorioqKHB1XmwkKCjY6BEugPMvhaM810yOYvOeTnU0ZMK4bxAbDlDNg5DC4tAcMc4fMSig4WNvduq0485n+fiv8byp00XunlFdCSYXTLufSqO8Ox5Ovl/6F+dXus5rnViU1k06eQsIGB1ReO5G169YYHYIlUJ7lcLTnOL09za58OFEfKsrsSQ3ACZ3hv3+IaqYzLgJ6wiPvwqc3Oe5aznymK6vhrTXw6MnitVVLaUB9dziDrGIgEIK9a/dZzXOrqp9cPaEBiInpZnQIlsAKngdHwsrr4J+rwdugoZiO9myfHiFPE5M45uZBjonHO9msNxYeFFkzFEdNd+6tDu4S7exn+qME0UYIav+ztiJW+O6QTXqBWAfU+Z6ymmeH9H5yRcI7hR//IEWbsYLns/qLeXuGdIbxBn0/HO3ZXv1Updedm7mUBiA5Bw5XQAdvMd1AuD+EB4jpEbY3fwLfZuHsZ7qoHD7W5+fbmdP0sWbGCt8dsknVm7PW7e9kNc+mTWoSt5hsEhwXxQqeZ8XVbp/S25gY6nq2UVtS49dZrM2e1FRpsEUvkTkhsnYk4d15cNjBI0jIeKafWgJdn4bLvnX6pVwWK3x3yGav/jviUWf+J6t5Nm1SExwUZHQIlsDsngdGQK+w2tezB8Et18JbL8K/C2H8aDlx1PXcO0x0Cz5cAVEm7/lUl8112tXUVD1lOf46Mp7pkgrrNhC2Y/bvDiOwj3lkKwcvL7FtNc+mTWqiXXSiTbNhds+z+4l1RSfADaL84MV74NrLYMIYmHOGnDjqeh6lj0uzIQ3iLNDzyY59EL7BkbUjCTu6PQ2Y/5l2FZRnx7NH/x2hCnropbhW82zapGbnLhNOguOCmNmzlxdcfaLYDhoG7lFie/1C+PQbsX12C+cAai11PY+KFus1ByFWnx7AEkmNvaTGyUmNmZ9pV0J5djyHK0HTGwn30ed/sppn0yY1CsXxiAiH0SPgvLPgzNNh6GAI1UfiHBAHG36AEAA3+Gw1PPK5eC8lHq65TYxgG90FRgyVG7e9pCalQiReJSVi3iezsz0bjlRBqF9tmxpnVD8pFO2ZSn2glh4RxsZhFKZNavr07mN0CJagvXm+9HxIiofSA2KCxPjf4Mt34YePIeEfyN0FRfvFdk/9Mxvz4Mo74Zet4vWE7mCrhF//FK9llNbYPQf71I5RU65Xle/YJSazMztHqiCpThJTWAaphY6/Tnt7ptsryrNzKD9q/iereTZtUpOammJ0CJagPXkODITnHoa4PuDrC1VVsD8Vlq2E+HWQoVdlBAaIEpBcvdvt20vFekcOpBSI6QlO7A7f/yL2nyMhqbF7HqmX0uzMhWg967JC1ZMdexUUOKfqCdrXM92eUZ6dQ4ne86mzXupsNc+mTWoKCp3wL5ziGNqT57tuhPBOkLwLeg4DnyjoPgQmzYKx06Fzf/DtArGjYM7Z4F8OFVWwqE7S8OcusT65tyipKS+H2N7g7Dlc7Z5H29vTpEK/WLGdZKEqc/sgfOC8qqf29Ey3Z5Rn52Cf/ylCH8PKap5Nm9QMGmitSbyMor14joyAO28Q2/c/Dnv3Q2UD45uUlcHO3RCtv7dsHxTUGfX1Dz2pmdYbiovh93/Ea3sVVNcOTgm/xrO9Pc3qukmNRUtqtjippKa9PNPtHeXZOeTqU2+E+oq11TybNqnJylYtCGXQXjw/dDf4+8OqtfD9z8c/3j7g3oKk+vuX7ROTEHYLgT5h8P1Csf+cmXD/JHj/HIeGXUNWdhYebjBM74G15oCoRgNrJTVbM8UowvZtZ9Benun2jvLsHLKKxTpIH6fGap5bNaFleyAlZb/RIViC9uC5bx+4+hKxfc/Dxz8+JhiGRok/ngt31H+vtAJW7IepvUQV1NeLoaIUeu+DeyaKAfHcbWIEXEeSkrKfAeFi0L2Cw1DiBR0CRWnTrj2OvZYrc7gSwp8UDaOd1Ta6PTzTZkB5dg7pBUAE+Otdu63m2bQlNSNHjDI6BEvQHjw/9SB4eMBPi2B5/PGPn6uX1q7YD7mlx75vr4I6pTcEATkfQ6WeWPh61k5h4EhGjhhVMz7N2gMQp1c97doLFRYbmbbaiQkNtI9n2gwoz84hRZ9PzEf/JbGaZ9MmNYWFBUaHYAlc3fO4UXDW6aKn0/2PHf/4q4aLaiSAn5IaPsae1IzvBn9dCb5lYAuAcn0WucGd2x730RQWFjBGT2pWH7BmexpZuPozbRaUZ+ewR2935nYEvL2t59m0Sc3mRGtN4mUUru752YfF+v3PIGlHk4dy70R4fga42eC9dfBhQsPH7c6DvXng5Q7BvpCQAYEXQKDeDueESIeFX8PmxMR6jYSt2J5GFq7+TJsF5dk5pOiz1mtlENHJep5Nm9RMGD/B6BAsgSt7HjlMTDhZWgoPPdP4cW42eOE0uE8voXl6Kdy1SFRzNIa9tObDBDjtfYjfCh76JIuDnZDUzJ48nK5BUFkt5nzqp5Iap+HKz7SZUJ6dg73KXCuDzuHW82zahsLl5WXHP0jRZlzZ87QpYr3oL0jPaPgYNxu8ezac1V8kMfcsgvfWH//ci5LFYHzv68d+/wuMvkVsD4oEG45t99HdW/Rg2JIpZne2Vz9tt9AYNbJw5WfaTCjPziFP79KNBj07Q/Zha3k2bUnNqtXNaBGqaDOu7HnaZLG2jyXTEJcNFQnNkSq46vvmJTQAS/bWJjQgkhq3EMAdOnhD95DWRt0wHUq3A2LQvV49xLg7oJIaZ+DKz7SZUJ6dQ2U1VOh/2buHW8+zaZMaqxW5GYWreg4IgLEjxXZjSU1HP/jfVLH94B/w47bWX2/vfli3Gdz1nk8ntKGxcI8Q8Pesv29yrB8gxqe5Qx9EcOHvYlJNhWNx1WfabCjPzsNeNhPd0XqeTZvUeLibtmbNpXBVz5PHg6enGMNlXyNTnzxysmjouyldNAxuK198B+5tbFfTJwz+uBI23wJ3nwhBPuDrAd39xIhaO0vgigvEsc/Na3vMimNx1WfabCjPzqNm/qdg63k2bVKzZNkSo0OwBK7q2d6e5vclDb8/LgYuPEG0o7nzV8cMlvf1T+Cml9SM6tbyz0cFwncXQpgfhPrBA5Mh8RaYfwZ4uGkcLIKzzxOTca7dAEtXtD1mxbG46jNtNpRn51FQLtbhAdbzbNqkZtSIkUaHYAlc1XNNUtNA1ZOHGzx/mtj+OAHWpznmmgfTYLPeIHlIVMs+G+wD314E0cFiBu4bfhKNggO9RZsfgIR0uPEqsf3sq46JWXEsrvpMmw3l2XnYe0CF+FjPs2mTGj8/f6NDsASu6DmmK/TtLaYQ+OffY9+/bhT0C4ecEni0iUbEreGTPwAb+LuJkpfm4OcJX10A/TpBQSVs7gIxU+DEt+H8L0U7GgC3SOgYBrv3iobJCufgis+0GVGenUdmkVgHeVnPs2kr2+It1uLbKFzR8ymTxXr1eigqrv9e9xC4Vx+P5qG/IP8wDuXLBfDEg1CdC9OHwAcNJFV1mTIePjoLAgvB5g3Rl8BVYeK93j3gujvht50w64RAXn1V3MyLb0B1tWPjVtTiis+0GVGencfBArH2c7OeZ9OW1MTGxhodgiWo69lmMzCQOtSteuoZKtrOvDoTVl8PG26CAC+IT4EvNjn+2jm5kKk30jt3XNPH9o2Gby4QCQ0e4DYNVuyAD78Q0zpcfQn8+An4+cEJ0yLpPlCc/4PPHR+3ohb13SEH5dl52EcV9qiEgQN7GRuMZEyb1ISFhhkdgiWo6/nW/0D+HvjqPePicXODk/WSmE3xsP5GmD8bLhlaO9Hk9mwxYrCzJkX8Vx87ZmjXxo8ZEw3LrgH3TKh2hzv+huAxMGkWXHETnHUpHD4MM6fD3z/CFRdkAjDvXbFf4TzUd4cclGfncTBPrLXD0Kt7gLHBSMa01U8JGxuZuEfhUOyeozrDI/dCoC+cPVN0pzZi9uhhJ0BoCBQUQpR+/YNF8E2imDNp9QHHVzkdzRdL4Ow54HcYBvWHxKPGv7lxDDx6MrhVAMFwyZfw69r6x/y8GE46C37+HEYPByji8GGYb2DCaBXUd4cclGfnUXeqhMzMzcYGIxnTltREhEcYHUK7ZsRQuPdWCO/U9HF2zy8+Bh4JUPgmlP8JvXtKCLIB7FVPf/8Lp/YW2/Pj4ZG/YfFO5yc0AKv3iLVWDJefXbvf3QYfnguPnyKmZ/DsC/clHJvQ2Fm1FsbPqB1n5/3PRfWTwrmo7w45KM/OI0dPaqoPQ59ezeyxYBJMm9REdW5hn1oFAO7u8N87YeUiePp/kLoZPn8bThzb8PFRnaM4ZTKc2QOObASqoCIZ+veRGHQd7FMj/LsUxuljxfx6nNm5HU3xEcjUx4k4d3zt/lvHwRn9QHMD3ynwYzG89VnT59qxE8adBrv2duDF150Xs6IW9d0hB+XZedhLajgCvbv5GRqLbEyb1CRtTzI6hHZHz+6w7Bd4/AFRfbRnH3h5wQXniP2Jy+HyC0W7FTu792zlnTvh8NI6J6qGkQa0Aaw7NULlXjEezdZM2F8gP5bVe8U63A2++QB+eBn+q0/J4H8ypATAdXc371zpGXD6+WHs2eeMSBVHo7475KA8O4+iMrB3kHQ/csDQWGRj2qTGx8fb6BDaFVdcCBuXwrhRUFgEl1wPvYbD0Mnw9kdQUgID+8EHr4njTj1JfO6/lxYQtAHQ4IstkKP3/DkhWv49TBonkrBde2CE3gbx12T5cQAkHBTrqiw4ZwZM1cQvm2dvqO4J513dsnmbPDx9nBKn4ljUd4cclGfnoQFlek+IrqHWGv/BtElNj+4GNepoh0ydCO+/BoEBYuj9wSfCp1+L9zYmwn/ugNihkPAc5P8IvXPgh3thw3sw070AKiDpENzyE6To48L0DJV/H7NPFeu/lsBJei9G2VVPduwjC2ckwW/PQ3UeHKqGp9eKnk0bWth2Tz3P8lCu5aA8O5fiSrHuGmba/kANYtq73btvj9EhtBsm6eOp/LwYzryk4YHdLuwPPT2BfVC+T+zrrr932AdOfVZMeZ+UAcOCIULyP2FjR8JVF4vtPSshYKDo9bQxXW4cduxJTZi7WACu+gp+39W686nnWR7KtRyUZ+dSUA4RnuBLC4qETYBpS2rKysqNDqHdMHEsaFXwzx8NJzQdvOHG0WL7vXXw2kr4dTfkeoGtI1zwNRTpuhP0tiTuJaKbtwz8/eGTN0Qj54+/gs5HxP5FBpXSgGiod7Cw9vUH61uf0IB6nmWiXMtBeXYuOSViHehRZWwgkjFtUtMvrp/RIbQLvLxgZCgUzoe7IiE66Nhj/jMKgn3FoHX3LIb//QUXfQ69H4QbV53E0joj8ybrI1lWF0A/SY2FX3wMevWA/alwy71wmn5do9rT2Nmkl9bsyYMH/2jbudTzLA/lWg7Ks3Oxz/8UaNr6mIYxbVKTlu6gqZdNzsihYEsDqsXEiq/MrP9+B2+4QS+lee5fqD5qGN5t2/Pqvd6jv6wulNOt+/RpcO1looTpshshtgNEBIjW/8v3Of/6TXHV9zD9AzEpZUkbByJUz7M8lGs5KM/O5YD+XexeWY2vr7GxyMS0SU1mVqbRIbQLJo6Dyjo9/qb0hItOqH193WhRSpOUDT9uO/bzR3tOL4YKAA2GO3nKkY5h8N4rYvulN0Qj5xl9xes/dkGFwY3+yyrFDNs7HTBgnnqe5aFcy0F5di7pBWJ9cK8bVupoZtqkZtiQYUaH0C44aYSoKqrWREkMwBPTIDKgfinNs8uOLaWBYz1rQJZeVd7fyW1q3n4JIsJhSxL89wmxz57UGF315GjU8ywP5VoOyrNzsQ/Al3kglPwCQ0ORimmTmtw8NZ788XB3hxGRYntHPjyzFBLSIMgHnp8B148W20lZ8FMDpTTQsGd7FVSME0fnHj0CzjodjhyBi6+D8nLoHSYmrTxSBX+2oVGuK6KeZ3ko13JQnp2LPanxpbTpA02GaZOa5GST/avuBIYMAs8csf3HdqjS4OafRVJwel+4Y4J475lljc9o3ZDnRL06K7AaAp2U2Mw4GTQNFi2AwGK4dKiYJBLg3321vbHMgnqe5aFcy0F5di72pMbfrczYQCRj2qRmzOgxRofg8kwaB5WpYnv5frHelgUvLhfbXu7i9YImRjNvyPM2fWyY6gKIc1Jj4VkToehNmHQAfr5UNHC293oysiu3s1DPszyUazkoz84lT5+8N9TgqZ969+rNrwsWkrJ7P3kZOWzZsJl333ybrl271hwTEx1DSX5xg8vIESNbdD3TdvYqLS0xOgSX55SRUL1HtJWJT6nd/+JymN0P+oc3XUoDDXuu6QFVIJKatQkODZvwThCbCxXlUFEl5nbak6cv+fDdVsdezxVQz7M8lGs5KM/OxV5S4+VWjb9n23tgthZvby82b97MZ59/xqGSQ/SL68ftt9zGqJGjGDpqOFVVtePozHt9Hv8sW1rv8y0t0TNtUrNm3VqjQ3BpbDYYFQXsgeQCMbO0nYpquGkBvDwTfj7OnHMNed5tT2qKndOt+5aZYiZwDZj6HmyxQCcK9TzLQ7mWg/LsXEor4ItNUFrlgbtbpWFxbN22jfv+7/6a1z/9vABN0/jffx9k0ICBbNxcO9BZ4pYtLP5tcZuuZ9rqp8kTJxsdgkszIA588sX279uPfX9DOpzzWdOlNNCw56wSKKsGNBjavY2BHoWnG1ymn3NztTUSGlDPs0yUazkoz87nhgXwT/V0l2tjWK1VU11dTVZOtsPPbdqSmsoq4zLT9kDd8Wn+3dvwMTnNaDTfmOe0EugZCH06tjLARrhpHARUgs0PnvjZsed2ZdTzLA/lWg7KsxxcxbO/vz++Pr6MHTOWm2+4mTfffpO0tPoDMHp5e+Hl5cWRI0caOcvxMW1JzfIVy40OwaWZNlKM+lutQXxq68/TmOcdegIe6Q0eDkqdu3aAe04U21XD4O/Vjjlve0A9z/JQruWgPMvBmZ6DgoLo2aMnPXs0PeN6VFQUWQcy2L9rL19++jkpKfuZ98brxxz32kuvkp+ZS9r+Ayz47kdmzpjZwNmaxvCSmpiYaPz9/ZkwfgIe7h4sWbaEUSNG4ufnT/zqeGJjYwkLDSNhYwIR4RFEdY4iaXsSPj7e9Ojek7379lBWVk6/uH6kpaeRmZXJsCHD6NG9O59/+QVjRo+htLSENevWMnniZCqrKlm+YjljR4/B29uH5SuWM3jQIIKCglm7bg0xMd0I7xRO4pZEgoOCiI6OYeeunQD06d2H1NQUCgoLGTRwEFnZWaSk7GfkiFEUFhawOTGRCeMnUF5exqrV8Q6/p9y8XJKTkx1wT9GM77YIDmqkVwfQM7ZHq+9p7JixvPXO28fcU7lvMbALiuCqSyfx76qsNt/TWxd44OORi3sUrCkO4dRp40z+c6q9p3PPPodfFv5iqnty1Z/TwAEDmPfGfFPdkyv+nE6bfipffv2Vqe7JFX9OV195Ncv+XeaUe2ou2dnZnHzaNLy9vOjduzf/ufo/rFkRz8yzZrN23VoyMjM4+bRpAPj6+NC7d2+uu+Y6vvrsC676z9V8+fVXLcorNCOXpx9/yinnPf200w29L1deevdEK/kCLf9BtEdPcY7n8waL8xe/hXbGjLbHfFIvcb68/6FV7kC75DzjPcpc1POsXJttUZ7bv+fW/v0O6hCkHdibov3wzXeNHhMRHq4V5RRof//2V4vOraqfLMjEsbXtaZbsbtu5GvO8Rx8stKrAMWPV3DFerH2GgHtH+O3vtp+zPaGeZ3ko13JQnuXgip4LiwrZv38/nSMbn0snMyuL4kPFBLZwBFfTJjWDBw0yOgSXZfpoqC4S7WlWt6E9DTTu2d6tWzsEA9uY1IT6wuhose09FNZugCzHN5p3adTzLA/lWg7Ksxxc0XPvXr2J6xvHv8v/bfSYk6ZMJTgomKX/Lm30mIYwvE2NswgKCjY6BJekU0eY3g+0bNhZ1PYBmRrznHcYSirB3wMGdGnbNab3AXc3KPKE4A6w6M+2na89op5neSjXclCe5WC05ymTJtO1S1cKCgtxd3fjhMEncMVlV5B64ADPPP8cINoDjR0zlry8PPz8fBkxbDiXX3o5W7dt5YmnnmzR9Uyb1Kxdt8boEFySB24Hj2yoAH7d0vbzNeV5XyEMCIMewU2fw9cXTp4EPzcy5tJp+szbHQaItRWTGvU8y0O5loPyLAejPY8eNZo7br0dX19fSktL2b1nN2+98xavvT6PQ4cOARATHc3zTz+Lv78/paWlJO9M5unnnuH1t96grKxlc1eZNqmJielGZlaW0WG4FDFd4bqLoOwT8XrpXgecswnPSRkiqfEph86RkJ5R/30/P7jucrjnZogIhxvuhjfer3+MjwdM1XsLBvSH3DxY4+BpF9oD6nmWh3ItB+VZDkZ7fvq5Z3j6uWeaPOavf/4mvGukQ65n2qQmvFO40SG4HA/dA+wEjkByDixzQFLTlOed+gzg1QXw6Zvwz7+iPUycBtGD4JIbxDxOdl59CrbvFMfZmdQD/L2gBAjqBL99B9XVbY+7vaGeZ3ko13JQnuVgNc+mTWoStyQaHYJLERcLl86Bko/F69dWif5vbaUpz/aJLasKYOocmDIBypZD+XqwBUCgP+zeC0+8CFMnwsVz4Jv3YdQpsGef+Kx95u2QwWK+qoV/OCDodoh6nuWhXMtBeZaD1TybtvdTcFCQ0SG4FI/dD9W7RG+kjGL42kHPeVOed+vdurN3w533Q9LbIqEBEUfCKzBwHHzwOVx9K6xeD2Gh8PPnEBgIHu4wd7g43rMXPPsqfPGdY+Jub6jnWR7KtRyUZzlYzbNpk5ro6BijQ3AZhg+Bc2ZB2Trx+s01cKSqyY80m6Y827t1h/rAaZUQdVhc99mVUFwOvX3hwUnimPJyOPMSOJgO/fvCF2/D72+CrwZ4wd1vwL2PgOaI4qV2iHqe5aFcy0F5loPVPJs2qbEPHW0m3G0wohXdo5/8P6jcB9V5UFQOH6x3XExNeS4qh+wSsT2iC+QfhrM+haf+gut+EvtvGANz9WEUMjLhjIvh8GE4fRqM0auCV2fCK+84Lub2iBmfZ1dFuZaD8iwHq3k2bVJjJjr6iRF1N94Mv10BfVsw8/XEcTBtChxeK15/uB6p09Db29XszYPpH8DKFPH61x3wnN4g+OXTYZDe8H39RrjyFrFdpv8uvvOPtHAVCoVC0Y4xbVLTp7cDxuY3kF494MBfsOVJSLoDHpwKXYPAzQZ3n9j88zxwO1SmQ3WaqPp508FDFhzP8+48WHMATvkAdubWf+/ppfD7TvD1hE/nQK9Qsf/L7+Gx/4GtECqq4I9djo25PdLen+f2hHItB+VZDlbzbNqkJjU1xegQ2sTD54H/EuhyGDxs4B4JRwaL984aAIO7Hv8cw06A6VNrS2m+ToT0YsfGeTzPHyfAGZ9Abumx71VrcM0PokFxTDCs+A/cP0mMTZOlV5Et3y+3ZMlVae/Pc3tCuZaD8iwHq3k2bZfugsJCo0NoNT4ecFoQUApZvlDYEwZPhEBvOHQIKvfAv0/AHxp89zMsWAwlJcee575boSpPHG8D5q1yfKzH87z6QNOfLyqHsz6DF2fAyb3hnokwZyBU6g2CF+1wUKDtnPb8PLc3lGs5KM9ysJpn05bUDBroepN4NZdn5oB7KeAHY56CUedDcE+YPBu+0gfMq94NZ46Hz9+GP74DL6/654jtrfd4ihcJza87YEeO42N1hOfUQpjzBVz6DRwsgh6h0CdMvLfYWm3cGqU9P8/tDeVaDsqzHKzm2bRJTVZ2+xx+OzIALuwttle7Qb5eXVRWBktXwNWPigQFDdZ+CAWFMHYkzH+2/nnuvQW0XKhIFq+fatlEp83GkZ5/3g5j3hADA1ZWw+YMkfAo2u/z3B5RruWgPMvBap5Nm9SkpOw3OoRW8fApok7QvTM88WPDxzy7TKz7ALfeCFVVcPUlcOPVYn/XKLhkLhzWq5u+3wpbMp0Tr6M9HzoC//sTJr0DL69w6KnbNe31eW6PKNdyUJ7lYDXPpk1qRo4YZXQILWZYFJw3UGznxcLy+IaP25QBi5PB3Q3GeIpB6QBefgImjYc7bwRbjmhLU1Utehk5C2d53pYFP2xzyqnbJe3xeW6vKNdyUJ7lYDXPpk1qCgsLjA6hRdiAp6eLbc9+8OEfTY+e+4xeWjNnEHz/OXz6DXh4wLcfwDWXQJleSvPl5mO7UjuS9ua5vaI8y0O5loPyLAereTZtUrM5sX1N4jV3MIzsCniC7wT45Oumj9+YLsZ48XCDN86AJx6GdRuhYxh45UFlihiXxp78OIv25rm9ojzLQ7mWg/IsB6t5Nm1SM2H8BKNDaBYBXvD4KTBvlnjtMwpWJorZq4/H00uhvBJGR8M/V8DvL0JmGpStFO9/nOD8hrbtxXN7R3mWh3ItB+VZDlbzbNqkpry8zOgQjsvMOIi/Hm4cI0pcSiPAeyh8/FXzPr8hHca9BX/tFmPb3DAMSj6BqnQ4XAEvLHdu/NA+PJsB5VkeyrUclGc5WM2zaZOaVasbaWXrAoT6wpfnwSdzoEsH2JcP966EqAtEycvXPzb/XHvy4NzP4bJvxRgvod5i/7trIeOQU8Kvhyt7NhPKszyUazkoz3KwmmfTJjWuWuTWORAWXgbTY0Wbl+f+FaUtw08X7/+0CAqLWn7eBUm1Y7zkH4aXVzo27sZwVc9mQ3mWh3ItB+VZDlbzbNppEjzcjbm1yAD4/iIxceTnm8QgctdfCXF9YMWf8EB/6BYMBwth7pfQpT8sWwwjhojPN7fqqSHsY7y8sBwKJZU4GuXZaijP8lCu5aA8y8Fqnk17t0uWLTHkug+dBP3C4ZWZcMd4+Hw3PPIIeJbCZYBWCsVu8GYWvPY2TNVn3C4+BM/Pg9/+bnsMshIaMM6z1VCe5aFcy0F5loPVPJu2+mnUiJHSrzmiC5yvz6SddQi6hcD9I+DIV1D4lUho3DpCl6vgtfkioSkvhxdfh57D4NHnxOjA7QkjPFsR5VkeyrUclGc5WM2zaZMaPz9/qderO3jepxthyGuwvApsvlBdCG4VsOYAXPozvPU1HEyH9z+D2FFw54OQ48QB8pyJbM9WRXmWh3ItB+VZDlbzbNrqp3jJLb7PHwzDu0BROTz2NwwcDKfeCu4avPdf8CiAmxZASQX89CfccJfU8JyGbM9WRXmWh3ItB+VZDlbzbNqSmtjYWGnXCvQSbWkAnv8Xiqrgo/li2oIvfoJr3oMrvhMJjdmQ6dnKKM/yUK7loDzLwWqeTVtSExYaJu1ad50IEQGwKxfeXA3PPAr9YiEtA266V1oYhiDTs5VRnuWhXMtBeZaD1TybNqlJ2Jgg5To/vQ4nZgLVEHcRlD0Cbnr511W3QH6BlDAMQ5Znq6M8y0O5loPyLAereTZt9VNEeITTr9E5EqZ4gq0aPLpDQFxtQvP2R7D4L6eHYDgyPCuUZ5ko13JQnuVgNc+mTWqiOkc5/RqvXgxVKVBtg7PmQbcTILIfhPSEG+52+uVdAhmeFcqzTJRrOSjPcrCaZ9NWPyVtT3Lq+YdHwUl+gAY/5sCfG5x6OZfF2Z4VAuVZHsq1HJRnOVjNs2lLanx8vJ127iAf+PQCsGng1hNu/8Rpl3J5nOlZUYvyLA/lWg7Ksxys5tm0SU2P7j2ddu7XZkGkH7gFwW/lUFTstEu5PM70rKhFeZaHci0H5VkOVvNs2qRm7749TjnvNSNhVhxobuA3A97/ximXaTc4y7OiPsqzPJRrOSjPcrCaZ9MmNWVl5Q4/Z/9weOxkse13ImRr8McSh1+mXeEMz4pjUZ7loVzLQXmWg9U8mzap6RfXz+HnvHYkeHtAjh94DYHPvm1/E1A6Gmd4VhyL8iwP5VoOyrMcrObZtElNWnqaQ8/n7wlnDxDbXaaBzQYffenQS7RLHO1Z0TDKszyUazkoz3KwmmfTJjWZWZkOPd/sfhDoDTmV4NMNEjbBFmv1lGsQR3tWNIzyLA/lWg7Ksxys5tm0Sc2wIcMcer6Lh4i11luU0nz8lUNP325xtGdFwyjP8lCu5aA8y8Fqnk2b1OTm5TrsXL1CYVw3qKqGXidDRQV8/p3DTt+ucaRnReMoz/JQruWgPMvBap5Nm9QkJyc77FwXDRHrDE9wC4BFf0J2jsNO365xpGdF4yjP8lCu5aA8y8Fqnk2b1IwZPcYh53G3wfmDxXa3qWL90psOObUpcJRnRdMoz/JQruWgPMvBap5Nm9SUlpY45Dwn94bOgVCqgX8crEmAJcsdcmpT4CjPiqZRnuWhXMtBeZaD1TybNqlZs26tQ85jr3ryHQg2d3jmVYec1jQ4yrOiaZRneSjXclCe5WA1z6ZNaiZPnNzmc3T0g1P7iO0OQyF5F/y4sM2nNRWO8Kw4PsqzPJRrOSjPcrCaZ9MmNZVVlW0+x3mDwdMdqkLBvSM8Nw+qqx0QnIlwhGfF8VGe5aFcy0F5loPVPJs2qVm+ou0NX+wNhAOGQlqGGpumIRzhWXF8lGd5KNdyUJ7lYDXPpk1qxraxxbeXO/TrJLY9e8LLb8KRIw4IzGS01bOieSjP8lCu5aA8y8Fqnk2b1Hh7+7Tp8z1Dwd0N8IKiSnjrQ4eEZTra6lnRPJRneSjXclCe5WA1z6ZNatpa5NY7TKzdQ+DND6GouO0xmRGrFW0ahfIsD+VaDsqzHKzm2bRJzeBBg9r0+X4RYu0WqkppmqKtnhXNQ3mWh3ItB+VZDkZ77t2rN78uWEjK7v3kZeSwZcNm3n3zbbp27VrvuJDgEF596RX2bN9FTloW//69lJkzZrb4eh6OCtzVCAoKbtPnh3cX63Jv2JfS5nBMS1s9K5qH8iwP5VoOyrMcjPbs7e3F5s2b+ezzzzhUcoh+cf24/ZbbGDVyFENHDaeqqgpfX18W//IrnTtH8ezzz5KTm8O1V13LF598xsWXX8JPPy9o0TU1I5enH3/KKeeNCA9v0+c33o2W/yDauveN9ePqS1s9q0V5drVFuVaezbQ403Nr/37fe9c9Wkl+sTZk8AkaoN152x1aSX6xNmb0mJpj/Pz8tMSETVrS5q0tOrdpq59iYrq16fOd9bZVm1IdEIyJaatnRfNQnuWhXMtBeZaDK3qu1qqprq4mKycbgLnnzmF9wnriV8fXHOPm5sbBtDRiomMYNnRYs89t2qQmvFN4qz/byR+89O0V2x0Tj1lpi2dF81Ge5aFcy0F5loMzPQcFBdGzR0969uh53GP9/f3pGNaRWafP4uYbbubNt98kLS0NLy8v4vrGsS5hfc2xI4aPYNWyFTXd0Qf2H9DsmAxvUxMTE42/vz8Txk/Aw92DJcuWMGrESPz8/IlfHU9sbCxhoWEkbEwgIjyCqM5RJG1PwsfHmx7de7J33x7KysrpF9ePtPQ0MrMyGTZkGB4eHoSFhjFm9BhKS0tYs24tkydOprKqkuUrljN29Bi8vX1YvmI5gwcNIigomLXr1hAT042JPdyA1bh1AL8OE4jtkwVAn959SE1NoaCwkEEDB5GVnUVKyn5GjhhFYWEBmxMTmTB+AuXlZaxaHe/we8rNyyU5OblV9xTeKZzELYkEBwURHR3Dzl07HXJPnTp2JCw0zFT35Io/p04dOzJ44CBT3ZOr/pxCQ0Lw9/c31T254s+pU8eO9OzR01T35Io/p/BOnThx/ASn3FNziYqKYufWHTWvN2zcwLw3XgcgNCQEDw8PcnJysNls3Hn7nfzffQ+QuCWRu+67h++/+paQkJAW5RWG1vc5q03N4IGDWv3Z26aK9jRF76B5eRnrx9WXtnhWi/LsiotyrTybaXGm5+b+/fb09NTGjhmrTZ44Sbv6yqu0tSvXaJmp6drIESO1yMhIrSS/WHv1pVe0Xxcs1Eryi7XnnnpG8/T01Hr17KWV5Bdrt918a7NjMm31U3R0TKs/O1IvSctHjSJ8PNriWdF8lGd5KNdyUJ7l4AqeKyoqWBW/iiXLlvLu++9x8qmnUFFZwQP33kdBQQHV1dVcdfmVDBo4kLkXns/d999LRUUFHTt2BCA7O7vZ1zK8+slZ2IvkWkOcXgW5r9BBwZiYtnhWNB/lWR7KtRyUZzm4oufCokL2799P58jOlJWVsWfvHjp16sTYieM5cOBAzXHD9QbCGzZtaPa5TVtS0xYivcV6oxqfRqFQKBQKh9K7V2/i+sbx7/J/Afh54S8EdQgiumt0zTFeXl5cfeXVbN22lW1JSc0+t2lLavr07kPyzuQWf87LHXz1mdqXNd+jZWmtZ0XLUJ7loVzLQXmWg9Gep0yaTNcuXSkoLMTd3Y0TBp/AFZddQeqBAzzz/HMAvPzqK5w/5zy++ORzXnjpBTIyM7jqiqvo3q0bM8+a3aLrmTapSU1tXTHLgC5gA/CCpQkODcmUtNazomUoz/JQruWgPMvBaM+jR43mjltvx9fXl9LSUnbv2c1b77zFa6/P49ChQwDk5OZwyozpPPHo49x3z714eniyLmE9p80+ndVrVrfoeqZNagoKW9cgZoo+TUZVAOTkOjAgk9Jaz4qWoTzLQ7mWg/IsB6M9P/3cMzz93DPHPW7vvr1ceOlFbb6eadvUDBrYukm8RvYS67wqBwZjYlrrWdEylGd5KNdyUJ7lYDXPpk1qsrKzWvW5vqIHGXvVPxHNorWeFS1DeZaHci0H5VkOVvNs2qQmJWV/qz6nej61jNZ6VrQM5VkeyrUclGc5WM2zaZOakSNGtfgzNhv46oPtLdvm4IBMSms8K1qO8iwP5VoOyrMcrObZtElNYWFBiz8zsh+gJzX/bHJoOKalNZ4VLUd5lodyLQflWQ5W82zapGZzYmKLP3PSCWJd4QOlanqEZtEaz4qWozzLQ7mWg/IsB6t5Nm1SM2H8hBZ/xj7nU67q+dRsWuNZ0XKUZ3ko13JQnuVgNc+mTWrKy8ta/Jk+YWK9p8CxsZiZ1nhWtBzlWR7KtRyUZzlYzbNpk5pVq+Nb/JkI1fOpxbTGs6LlKM/yUK7loDzLwWqeTZvUtLTILSQYvA+L7WVbHR+PWbFa0aZRKM/yUK7loDzLwWqeTZvUeLi3bAaI4YOgukhsb0x1QkAmpaWeFa1DeZaHci0H5VkOVvNs2qRmybIlzT42LhbefhjQoNINMg85Kyrz0RLPitajPMtDuZaD8iwHq3k2bVIzasTIZh136kkQ/xt08RKvd+Y4MSgT0lzPirahPMtDuZaD8iwHq3k2bVLj5+d/3GNuvx5++QJ8s+DQH2Lfmn3OjctsNMezou0oz/JQruWgPMvBap5NWdn2yxcQHPQbd11Xu89mA3d38PAQi78f9IuF8g1QulRkd4uS4YHfDQu7XRJvsZb1RqE8y0O5loPyLAereTZlUjNhDAR1qGzyGE2DkqVQsQFswHvr4N7FUKXJidEsxMbGsip+ldFhmB7lWR7KtRyUZzlYzbMpk5rLb4IxI4exfkMCNmBKGMyIEKUxVZqeuGgQqo9L88hf8PJKAwNux4SFhhkdgiVQnuWhXMtBeZaD1TybMqn5cSGs2ZBB4BF4dRaM6tLwcUeq4KYF8M0WufGZiYSNCUaHYAmUZ3ko13JQnuVgNc+mTGo83eDuCdVc2Bu83KGoXJTG/LsPPN3B3U0cU1AGe/KMjrZ9ExEeQVpamtFhmB7lWR7KtRyUZzlYzbPpej916QBLr4HL+2bg5S4a/459A95fDztzYVsWJGZAQppKaBxBVOcoo0OwBMqzPJRrOSjPcrCaZ9OV1GQegopqyCtz466F1fywzeiIzE3S9iSjQ7AEyrM8lGs5KM9ysJpn0yU1ldVwxXcQHt2L+G07jQ7H9Pj4eBsdgiVQnuWhXMtBeZaD1TybrvoJRLVSWFSs0WFYgh7dexodgiVQnuWhXMtBeZaD1TybMqkB2Ltvj9EhWALlWQ7KszyUazkoz3KwmmfTJjVlZeVGh2AJlGc5KM/yUK7loDzLwWqeTZvU9IvrZ3QIlkB5loPyLA/lWg7Ksxys5tm0SU1aunX65RuJ8iwH5VkeyrUclGc5WM2zaZOazKxMo0OwBMqzHJRneSjXclCe5WA1z6ZNaoYNGWZ0CJZAeZaD8iwP5VoOyrMcrObZtElNbl6u0SFYAuVZDsqzPJRrOSjPcrCaZ9MmNcnJyUaHYAmUZzkoz/JQruWgPMvBap5Nm9SMGT3G6BAsgfIsB+VZHsq1HJRnOVjNs2mTmtLSEqNDsATKsxyUZ3ko13JQnuVgNc+mTWrWrFtrdAiWQHmWg/IsD+VaDsqzHKzm2bRJzeSJk40OwRIoz3JQnuWhXMtBeZaD1TybNqmprKo0OgRLoDzLQXmWh3ItB+VZDlbzbNqkZvmK5UaHYAmUZzkoz/JQruWgPMvBap49jA4gJiaapx9/yqHnDAoKAqCwsNCh51XUR3mWg/IsD+VaDsqzHJztOSYm2innbQs2QDM6CEfTs0dPAPbstdaU67JRnuWgPMtDuZaD8iwHK3o2bfWTQqFQKBQKa2HKkhqFQqFQKBTWQ5XUKBQKhUKhMAUqqVEoFAqFQmEKVFKjUCgUCoXCFKikRqFQKBQKhSkwXVLTtWtXPnzvA1L37Cf7YCa/LVzMuLHjjA6rXXPWGWfyx6LfyUxNJ33/QT5670O6dOlS75iQ4BBefekV9mzfRU5aFv/+vZSZM2YaFHH7JiAggB1bkijJL+at+W/We095dgwdwzpy/z33sXblarIPZlKSX8y5Z59T877y3HYGDhjAN198Tdr+A2SmprN6+SpuvekWbDZbzTHKc8sZOmQoC3/8mZL8Yi6+4KJj3m+uUx8fHx57+FF2bEkiNz2btSvXcPmll0u4A+ejmWWJCA/Xkrds17Zt2qJdefkV2qUXXaIlrF6v5aZnayNHjDQ8vva4nHXGmVpJfrH27ptva2efeZZ23933atkHM7WE1es1b29vDdB8fX211ctXaSm792s3XX+jdv7c87S/f/tLK84t1M6YNdvwe2hvy/PPPKcd2JuiFecWam/Nf7Nmv/LsmGXQwIHa3h27tT3bd2mP/O9h7ZyzztZOnX6qFhkZqTw7aOndq7eWkZKm/f3bX9rFF1yknXPW2drbr7+lleQXa/ffc5/y3IqlR/ce2ofvfaAV5xZqOWlZWkl+sXbxBRfVO6YlThd896OWfTBTu/eue7Q555yrfffVt1pJfrF20/U3Gn6vbVwMD8Bhyysvvqzlpmdr3bt1r9kXER6uHdyXqv3+62+Gx9ceFzc3N236KdPq7bvnzru1kvxi7bw5czVAu/O2O7SS/GJtzOgxNcf4+flpiQmbtKTNWw2/h/a0DB82XCvKKdAuv/RyrTA7v15Sozy3ffH09NS2bkzU1q5crYUEhzR4jPLc9uXBB/5PK8kv1jp17Fhv/+rlq7SVS5crz61Ynnj0cS11j0hWrrjsigaTmuY6Pffsc+p9h4P4rv9z8R9aZmq6FhgYaPj9tnYxTfWTzWbj3LPP4dfFi9i3f1+99zIyMhk7egydOnY0Jrh2THV1Nb/98Xu9fRs2bgCga5euAMw9dw7rE9YTvzq+5hg3NzcOpqUREx3DsKHD5AXcjnF3d2f+K6+xMn4VH3784THvK89t57xz59K9W3duvfN28gvyGzxGeW47bm7iT0sX/TsCwMvLi+DgYAoKCgDluaW8/OrLDBp6AvPemE/FkSMNHtNcp3PPnUtWVhZff/tNzXHu7u4cPHiQgIAATp56knNvxomYJqnp0b0HwUHBrE9YX7Nv+inTWL08nt69euHm5kb/fv0NjNA8dO0q5vtIPZCKl5cXcX3jWFfH+4jhI1i1bAVjR48BYGD/AYbE2d649aZb6NO7DzfdevMx7ynPjmHK5Mnk5uWxctVKADw86k9/pzw7hk8++5TCokK+/+pbzj7zLKKiovjy08/p1LETzzz/rPLcCrJzcigoLGj0/ZY4HTL4BBI2bkDTNAD69O7Dkj/+5szZZwAwoB27N01S01EvhcnJycHLy4vnnnqG77/+jo2bNnL9TTcAEBISYmSIpsDDw4P/XH0N+QX5/Lp4EaEhIXh4eJCTk4PNZuOuO+7iz0W/U1BQwNyLzgeU9+bQvVt37r/nPp5+/hl27d51zPvKs2Po07sPubm5zHv5NXZsSSI/M5esAxm8Oe8NQkNClef/b+/eo6Ks0ziAfwfcgU4wKBchDM0j6CmxbE3JvGSuK5DKHRW1WhUy7bJrmqTlalrp2gVvrBh5I60sq1OIuKULkoWIhRcuGjCIkFyHVxgnyiM++4c4u+O4KTY5zvj9nPM98r7zzPib5xzG58z7m9FCtBVaBI8JQUNjA97blIYTx0owaOAgPBo+Fvu+zmGffwcd6amnpycaGxsBAI9PeRz7s3Lg4uKC4LGhJnW2yG6Gmks76gMCApCzNxsJ0xOwaMliRMRGobau1qSGrt+ypa+hX2A/JM5/EWfPngXae+rj44OMz3filYWLkLohFSODR6Gs7OI/zuz71a1+eyW0FVokrVp55QL22SLc3NzQo3t3ODmpsWDhSwiPjsDKNasQGx2DTakb2GcLChoUhB7de6CouAiHjxxGl85d8PcFL6NL5y7s8++hAz1VqVRwdXVF2sYtWLcmGZlf7saQEcNw6LtDJnW2yuobeyyR3gG9xaDoxaDo5fixYpONUuNjYsWg6GXoQ0Osvk5bztzn54pB0cvyV5cZzzk7O4te1ywGRS9V2koZEzrGeFvQoCAxKHqZPHGS1dd+M2dC7HgxKHoJHh0sHu4exjQ3KLL53Y3i4e4hLi4u7LMFcig3X3bvzDQ7v/zVZWJQ9NKtWzf22QKJmzBRDIpekletFUdHRwEgL8y5+PrxyfYdfN34jZkSN9lso3BHeqo9XiYGRS+Np+tl2l+mGut8fHxMPqFmizG9oGzDyrXlaG1tRU1tDYaPHGGyCXDA/X/E+fPncayw0IortG2zZszEKwsXYcPmjXjx5fnG8z///DO0FVp4eXlh8PAhqK6uNt42oH1TWsGRghu+XlsycsRIAMCn23eY3RYbHYvY6FhsfX8b+2wB1dVV6Nmzp9n50vJSAMAdPnewzxYQPy0eZ8+exewXnkdbWxsA4I233sSokaMwetSf0alTJ/bZwjryWlxUXAQvLy/8KXgUjhw7+j91A9rrDt+4hVuY3Vx+amtrw67dmejm2w1ubm7G8+5d3DFxQhy+3PMVmluarbhC2zX1ial4Y/kKvLtpA56b/Vez29MzdsJN4wa/9g3EwMVNa/HT4lFUXITikpIbuVybk7Q6CWMjxpmlra0Ne/buwdiIcUhancQ+W8C+r3Pg38sf99x9t8n5h4c9jNbWVpz44QT7bAGuLi5wcHAw24jddv48Lly4AICvG7+Ha+3pFxnpcHBwwN2X/R48/dRMNDQ2Iis764au29Ks/naRpdKndx+pPXVaig4fk+lTp8nkiZMkb3+uVFeckgD/AKuvzxYTFREpLY1nJDfnGwkNCZWQ4BCTODs7i6eHp5QV/yAnSyvk2VnPSGx0jOzemSlNtY3y0OCHrP4cbDWXf08N+/zb09mts5SXlEp5SanMmjFTYqKiJXXdxS+Fm/O359lnC+XS96Xs/dcemTQhTqIiIiVl7TrjJSn2uePpHdBbZiQ8KTMSnpR3U94xfinqpXMd6alarZb8b/OkrqpGEufOk6iISPlw6wei1zVLTFS01Z/rb4zVF2DR9L/3Pkn/9HOpq6qR05XV8vEHH0mf3n2svi5bzfrkFONepSulu193AS5+2+X7advkx5NVUl9dK7u+yJCgQUFWX78t5/Khhn22TPx7+cv2bR/K6cpq0dU0SM7ebAkNCWWfLZzHJk2RfXuypLrilJyurJb9WTnyZHyCcY8N+9yxXNpH8//S0Z56eXrK+uQUqSw7KY2n6yX7q3+b/R7YYlTtPxARERHZNLvZU0NERES3Ng41REREZBc41BAREZFd4FBDREREdoFDDREREdkFDjVERERkFzjUEBERkV3gUENERER2gUMNERER2QUONUQEZ2dn7M/KQcnRIvj5+V39Dh2wPjkFzQ2KRR+TiOhKOl29hIjsnVqtxp13+kHj6gqNq6u1l0NEdF041BARWlpa0Ld/IJzUTmhSmqy9HCKi68LLT0S3sPv73w+DoodB0aO+uhZV2kr4+vqa1EyJmwyDooefnx9WvL4cJ0srUF1xCls3vwdPD0+TWrVajQWJ83E4vwBKnQ4/nqzCo6GhZn+vo6MjEufOQ2HBUSh1OhQdPoYFifPh6OhorIkMj4BB0WPzhk0m9x0TOgYGRY+1K9dYsBNEZC+s/l+FMwxjnWg0GgkJDpGQ4BDZlLpBDIpefH19TWqmxE0Wg6KX/G/zJGdvtoyPiZWXXlwgel2zrE9OMdapVCr5fMdnoqtpkKWLl0hkeIQkTI+XgoPfS3ODYvKY69b8U5Q6nSxdvERio2MkedVaMSh6WZO02qQu6c23xaDoJSYqWgCIh7uHaI+XSW7ON+Lk5GT1/jEMc9PF6gtgGOYmyILE+b861GSm7zIZJDLTd8mJwhLjcVREpBgUvcRNmGhy//XJKSZDTf977xO9rlmemfm0Sd3Kt5KkpfGM+Hh7G8+p1Wr5dt9+OVVeKT4+PpK2cYvUVP4o/r38rd4vhmFuvvDyExFdk6Wvv4pffvnFeFxVVQXvrt7G45DRITh37hy2f/zRrz5O2LgwODg4ID1jJ26//XZjsvdlw9HREQ8MGGisPXfuHB6b+gT+0KkTvszYjejIKDw7+zmUlZdZ/gkSkc3jRmEiuiYiYnasUqmMxz7e3qhvqMeFCxd+9XG6enUFABQfKbzi7W4ajclxubYcm9O24LlnnkVu3gHs+PST61k+Ed0CONQQkUU0KU1wcXExO3/bbbeZHLe0tAAAwqLC8VNrq1l9aWmpyXG/wEDET5sObYUWg4MexITY8Vd9N4iIbk28/EREFlFy/Dg6u3VGYN++xnNhY8MQERZuUnfgYB4AwNPTE7kHcs3SqGs01mo0GmzbshX1DfUYOmI4srKzsCZpNfoFBt6YJ0VENoXv1BDdwvx7+cPf3x8AEND+5yPDR0CnNKGpqQkH8w9e82OlbXsPiXPnYVPqRry9Kgl97+mLpxJmIOfrHAwbOsxYl5GZgfxD+UhetRYDHxiI/EP5+OmnVri7u8O7a1eseOsNY23qundwV4+7EDw2FM0tzUiYNQN5+w/g/bRtGPbIwzjTfMYyjSAiu2H13coMw1gnlz7xdKVkpu8S4L+ffhr84GCT+17+qSYAEjw6WL7P+050NQ2yb0+WDBsyVObNecGsTqPRyD9eWyaFBUdFqdNJXVWNFBYclZS164w1c2fPEYOil8ULF5ncN3xcmBgUvXz28SeiUqms3kOGYW6eqNp/ICIiIrJp3FNDREREdoFDDREREdkFDjVERERkFzjUEBERkV3gUENERER2gUMNERER2QUONURERGQXONQQERGRXeBQQ0RERHaBQw0RERHZBQ41REREZBc41BAREZFd+A+Vw4m5b+ZzSQAAAABJRU5ErkJggg=="
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(test[\"Close\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "fHO64sIkWz9X",
        "outputId": "4b21a180-9c38-4fbf-fc65-9cd80eb67b55"
      },
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fd158669d80>]"
            ]
          },
          "metadata": {},
          "execution_count": 93
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "cB-jJvfTXRkJ",
        "outputId": "f232c292-0396-467d-d7d0-504f7b6fe05c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f2a48991120>]"
            ]
          },
          "metadata": {},
          "execution_count": 103
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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"
          },
          "metadata": {}
        }
      ]
    }
  ]
}