extra.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Welcome To Colaboratory",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/satishchaudhary382/algorithmic-trading-with-python/blob/master/extra.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2HTNO4CV5avM"
      },
      "source": [
        "import requests\n",
        "from bs4 import BeautifulSoup\n",
        "import json"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C1WhDO2z5axM",
        "outputId": "43ae129e-1012-44b7-b3ad-1503dfeab4af",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "req = requests.get(\"https://nepsealpha.com/ajax/sector-rotation/FINANCE\")\n",
        "print(\"The status code is \",req.status_code)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The status code is  200\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h6ceE-8SFLxi"
      },
      "source": [
        "soup = BeautifulSoup(req.content, \"html.parser\")"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oR1a1UT_PFSe",
        "outputId": "2ebe8940-78e9-4f1c-9a2d-f8380ced4e7b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "soup"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{\"other\":[{\"time\":\"2020-07-16 00:00:00\",\"value\":671.53},{\"time\":\"2020-07-19 00:00:00\",\"value\":680.53},{\"time\":\"2020-07-20 00:00:00\",\"value\":681.68},{\"time\":\"2020-07-21 00:00:00\",\"value\":675.49},{\"time\":\"2020-07-22 00:00:00\",\"value\":668.33},{\"time\":\"2020-07-23 00:00:00\",\"value\":669.81},{\"time\":\"2020-07-26 00:00:00\",\"value\":673.15},{\"time\":\"2020-07-27 00:00:00\",\"value\":672.2},{\"time\":\"2020-07-28 00:00:00\",\"value\":672.44},{\"time\":\"2020-07-29 00:00:00\",\"value\":665.91},{\"time\":\"2020-07-30 00:00:00\",\"value\":671.86},{\"time\":\"2020-08-02 00:00:00\",\"value\":657.07},{\"time\":\"2020-08-03 00:00:00\",\"value\":656.76},{\"time\":\"2020-08-05 00:00:00\",\"value\":649.59},{\"time\":\"2020-08-06 00:00:00\",\"value\":654.28},{\"time\":\"2020-08-09 00:00:00\",\"value\":661.39},{\"time\":\"2020-08-10 00:00:00\",\"value\":669.06},{\"time\":\"2020-08-11 00:00:00\",\"value\":668.46},{\"time\":\"2020-08-12 00:00:00\",\"value\":664.03},{\"time\":\"2020-08-13 00:00:00\",\"value\":659.12},{\"time\":\"2020-08-16 00:00:00\",\"value\":656.08},{\"time\":\"2020-08-17 00:00:00\",\"value\":656.25},{\"time\":\"2020-08-18 00:00:00\",\"value\":655.71},{\"time\":\"2020-08-19 00:00:00\",\"value\":652.68},{\"time\":\"2020-08-20 00:00:00\",\"value\":655.54},{\"time\":\"2020-08-23 00:00:00\",\"value\":661.56},{\"time\":\"2020-08-24 00:00:00\",\"value\":665.26},{\"time\":\"2020-08-25 00:00:00\",\"value\":666.46},{\"time\":\"2020-08-26 00:00:00\",\"value\":667.73},{\"time\":\"2020-08-27 00:00:00\",\"value\":664.47},{\"time\":\"2020-08-30 00:00:00\",\"value\":666.09},{\"time\":\"2020-08-31 00:00:00\",\"value\":667.19},{\"time\":\"2020-09-02 00:00:00\",\"value\":674.94},{\"time\":\"2020-09-03 00:00:00\",\"value\":675.01},{\"time\":\"2020-09-06 00:00:00\",\"value\":673.01},{\"time\":\"2020-09-07 00:00:00\",\"value\":673.31},{\"time\":\"2020-09-08 00:00:00\",\"value\":677.81},{\"time\":\"2020-09-09 00:00:00\",\"value\":679.3},{\"time\":\"2020-09-10 00:00:00\",\"value\":681.54},{\"time\":\"2020-09-13 00:00:00\",\"value\":678.6},{\"time\":\"2020-09-14 00:00:00\",\"value\":685.54},{\"time\":\"2020-09-15 00:00:00\",\"value\":683.04},{\"time\":\"2020-09-16 00:00:00\",\"value\":684.9},{\"time\":\"2020-09-17 00:00:00\",\"value\":726.85},{\"time\":\"2020-09-20 00:00:00\",\"value\":755.51},{\"time\":\"2020-09-21 00:00:00\",\"value\":746.07},{\"time\":\"2020-09-22 00:00:00\",\"value\":733.58},{\"time\":\"2020-09-23 00:00:00\",\"value\":745.6},{\"time\":\"2020-09-24 00:00:00\",\"value\":755.22},{\"time\":\"2020-09-27 00:00:00\",\"value\":766.85},{\"time\":\"2020-09-28 00:00:00\",\"value\":778.56},{\"time\":\"2020-09-29 00:00:00\",\"value\":775.76},{\"time\":\"2020-09-30 00:00:00\",\"value\":778.52},{\"time\":\"2020-10-01 00:00:00\",\"value\":784.31},{\"time\":\"2020-10-04 00:00:00\",\"value\":786.73},{\"time\":\"2020-10-05 00:00:00\",\"value\":782.42},{\"time\":\"2020-10-06 00:00:00\",\"value\":788.45},{\"time\":\"2020-10-07 00:00:00\",\"value\":811.6},{\"time\":\"2020-10-08 00:00:00\",\"value\":843.31},{\"time\":\"2020-10-11 00:00:00\",\"value\":860.82},{\"time\":\"2020-10-12 00:00:00\",\"value\":849.15},{\"time\":\"2020-10-13 00:00:00\",\"value\":832.85},{\"time\":\"2020-10-14 00:00:00\",\"value\":821.95},{\"time\":\"2020-10-15 00:00:00\",\"value\":821.63},{\"time\":\"2020-10-18 00:00:00\",\"value\":820.03},{\"time\":\"2020-10-19 00:00:00\",\"value\":836.29},{\"time\":\"2020-10-20 00:00:00\",\"value\":844.89},{\"time\":\"2020-10-21 00:00:00\",\"value\":844.29},{\"time\":\"2020-10-22 00:00:00\",\"value\":849.67},{\"time\":\"2020-10-28 00:00:00\",\"value\":863.05},{\"time\":\"2020-10-29 00:00:00\",\"value\":860.43},{\"time\":\"2020-11-01 00:00:00\",\"value\":858.25},{\"time\":\"2020-11-02 00:00:00\",\"value\":862.21},{\"time\":\"2020-11-03 00:00:00\",\"value\":867.6},{\"time\":\"2020-11-04 00:00:00\",\"value\":864.72},{\"time\":\"2020-11-05 00:00:00\",\"value\":864.52},{\"time\":\"2020-11-08 00:00:00\",\"value\":868.8},{\"time\":\"2020-11-09 00:00:00\",\"value\":869.71},{\"time\":\"2020-11-10 00:00:00\",\"value\":873.54},{\"time\":\"2020-11-11 00:00:00\",\"value\":870.68},{\"time\":\"2020-11-12 00:00:00\",\"value\":867.03},{\"time\":\"2020-11-18 00:00:00\",\"value\":875.47},{\"time\":\"2020-11-19 00:00:00\",\"value\":889.22},{\"time\":\"2020-11-22 00:00:00\",\"value\":885.06},{\"time\":\"2020-11-23 00:00:00\",\"value\":883.29},{\"time\":\"2020-11-24 00:00:00\",\"value\":889.53},{\"time\":\"2020-11-25 00:00:00\",\"value\":904.8},{\"time\":\"2020-11-26 00:00:00\",\"value\":898.93},{\"time\":\"2020-11-29 00:00:00\",\"value\":911.21},{\"time\":\"2020-11-30 00:00:00\",\"value\":905.79},{\"time\":\"2020-12-01 00:00:00\",\"value\":898.36},{\"time\":\"2020-12-02 00:00:00\",\"value\":902.13},{\"time\":\"2020-12-03 00:00:00\",\"value\":895.39},{\"time\":\"2020-12-06 00:00:00\",\"value\":875.87},{\"time\":\"2020-12-07 00:00:00\",\"value\":896.52},{\"time\":\"2020-12-08 00:00:00\",\"value\":881.4},{\"time\":\"2020-12-09 00:00:00\",\"value\":878.82},{\"time\":\"2020-12-10 00:00:00\",\"value\":880.66},{\"time\":\"2020-12-13 00:00:00\",\"value\":887.88},{\"time\":\"2020-12-14 00:00:00\",\"value\":891.23},{\"time\":\"2020-12-15 00:00:00\",\"value\":885.04},{\"time\":\"2020-12-16 00:00:00\",\"value\":882.94},{\"time\":\"2020-12-17 00:00:00\",\"value\":874.56},{\"time\":\"2020-12-20 00:00:00\",\"value\":853.98},{\"time\":\"2020-12-21 00:00:00\",\"value\":858.06},{\"time\":\"2020-12-22 00:00:00\",\"value\":883.86},{\"time\":\"2020-12-23 00:00:00\",\"value\":877.22},{\"time\":\"2020-12-24 00:00:00\",\"value\":868.6},{\"time\":\"2020-12-27 00:00:00\",\"value\":863.57},{\"time\":\"2020-12-28 00:00:00\",\"value\":865.62},{\"time\":\"2020-12-29 00:00:00\",\"value\":863.47},{\"time\":\"2020-12-30 00:00:00\",\"value\":865.14},{\"time\":\"2020-12-31 00:00:00\",\"value\":869.43},{\"time\":\"2021-01-03 00:00:00\",\"value\":877.09},{\"time\":\"2021-01-04 00:00:00\",\"value\":882.72},{\"time\":\"2021-01-05 00:00:00\",\"value\":880.77},{\"time\":\"2021-01-06 00:00:00\",\"value\":884.33},{\"time\":\"2021-01-07 00:00:00\",\"value\":894.57},{\"time\":\"2021-01-10 00:00:00\",\"value\":913.78},{\"time\":\"2021-01-11 00:00:00\",\"value\":925.31},{\"time\":\"2021-01-12 00:00:00\",\"value\":948.45},{\"time\":\"2021-01-13 00:00:00\",\"value\":993.81},{\"time\":\"2021-01-17 00:00:00\",\"value\":1018.82},{\"time\":\"2021-01-18 00:00:00\",\"value\":1041.4},{\"time\":\"2021-01-19 00:00:00\",\"value\":1078.63},{\"time\":\"2021-01-20 00:00:00\",\"value\":1124.59},{\"time\":\"2021-01-21 00:00:00\",\"value\":1156.57},{\"time\":\"2021-01-24 00:00:00\",\"value\":1170.72},{\"time\":\"2021-01-25 00:00:00\",\"value\":1163.94},{\"time\":\"2021-01-26 00:00:00\",\"value\":1177.01},{\"time\":\"2021-01-27 00:00:00\",\"value\":1170.25},{\"time\":\"2021-01-28 00:00:00\",\"value\":1152.05},{\"time\":\"2021-01-31 00:00:00\",\"value\":1101.33},{\"time\":\"2021-02-01 00:00:00\",\"value\":1140.89},{\"time\":\"2021-02-02 00:00:00\",\"value\":1142.33},{\"time\":\"2021-02-03 00:00:00\",\"value\":1123.17},{\"time\":\"2021-02-04 00:00:00\",\"value\":1112.2},{\"time\":\"2021-02-07 00:00:00\",\"value\":1128.29},{\"time\":\"2021-02-08 00:00:00\",\"value\":1152.19},{\"time\":\"2021-02-09 00:00:00\",\"value\":1164.91},{\"time\":\"2021-02-10 00:00:00\",\"value\":1203.37},{\"time\":\"2021-02-11 00:00:00\",\"value\":1184.92},{\"time\":\"2021-02-14 00:00:00\",\"value\":1173.16},{\"time\":\"2021-02-15 00:00:00\",\"value\":1207.91},{\"time\":\"2021-02-16 00:00:00\",\"value\":1198.52},{\"time\":\"2021-02-17 00:00:00\",\"value\":1197.4},{\"time\":\"2021-02-18 00:00:00\",\"value\":1202.74},{\"time\":\"2021-02-21 00:00:00\",\"value\":1198.56},{\"time\":\"2021-02-22 00:00:00\",\"value\":1184.87},{\"time\":\"2021-02-23 00:00:00\",\"value\":1177.86},{\"time\":\"2021-02-24 00:00:00\",\"value\":1183.85},{\"time\":\"2021-02-25 00:00:00\",\"value\":1158.13},{\"time\":\"2021-02-28 00:00:00\",\"value\":1128.39},{\"time\":\"2021-03-01 00:00:00\",\"value\":1151.46},{\"time\":\"2021-03-02 00:00:00\",\"value\":1128.61},{\"time\":\"2021-03-03 00:00:00\",\"value\":1116.29},{\"time\":\"2021-03-04 00:00:00\",\"value\":1147.3},{\"time\":\"2021-03-07 00:00:00\",\"value\":1144.04},{\"time\":\"2021-03-09 00:00:00\",\"value\":1139.6},{\"time\":\"2021-03-10 00:00:00\",\"value\":1144.14},{\"time\":\"2021-03-14 00:00:00\",\"value\":1125.25},{\"time\":\"2021-03-15 00:00:00\",\"value\":1118.04},{\"time\":\"2021-03-16 00:00:00\",\"value\":1119.25},{\"time\":\"2021-03-17 00:00:00\",\"value\":1132.79},{\"time\":\"2021-03-18 00:00:00\",\"value\":1146.94},{\"time\":\"2021-03-21 00:00:00\",\"value\":1153.31},{\"time\":\"2021-03-22 00:00:00\",\"value\":1145.13},{\"time\":\"2021-03-23 00:00:00\",\"value\":1140.39},{\"time\":\"2021-03-24 00:00:00\",\"value\":1162.69},{\"time\":\"2021-03-25 00:00:00\",\"value\":1159.81},{\"time\":\"2021-03-29 00:00:00\",\"value\":1165.01},{\"time\":\"2021-03-30 00:00:00\",\"value\":1167.34},{\"time\":\"2021-03-31 00:00:00\",\"value\":1176.73},{\"time\":\"2021-04-01 00:00:00\",\"value\":1199.5},{\"time\":\"2021-04-04 00:00:00\",\"value\":1243.46},{\"time\":\"2021-04-05 00:00:00\",\"value\":1242.51},{\"time\":\"2021-04-06 00:00:00\",\"value\":1239.15},{\"time\":\"2021-04-07 00:00:00\",\"value\":1240.13},{\"time\":\"2021-04-08 00:00:00\",\"value\":1279.56},{\"time\":\"2021-04-12 00:00:00\",\"value\":1278.2},{\"time\":\"2021-04-13 00:00:00\",\"value\":1281.84},{\"time\":\"2021-04-15 00:00:00\",\"value\":1310.23},{\"time\":\"2021-04-18 00:00:00\",\"value\":1294.17},{\"time\":\"2021-04-19 00:00:00\",\"value\":1300.34},{\"time\":\"2021-04-20 00:00:00\",\"value\":1305.22},{\"time\":\"2021-04-21 00:00:00\",\"value\":1284.46},{\"time\":\"2021-04-22 00:00:00\",\"value\":1285.87},{\"time\":\"2021-04-25 00:00:00\",\"value\":1242.1},{\"time\":\"2021-04-26 00:00:00\",\"value\":1214.03},{\"time\":\"2021-04-27 00:00:00\",\"value\":1249.4},{\"time\":\"2021-04-28 00:00:00\",\"value\":1233.86},{\"time\":\"2021-04-29 00:00:00\",\"value\":1239.09},{\"time\":\"2021-05-02 00:00:00\",\"value\":1255.16},{\"time\":\"2021-05-03 00:00:00\",\"value\":1246.08},{\"time\":\"2021-05-04 00:00:00\",\"value\":1243},{\"time\":\"2021-05-05 00:00:00\",\"value\":1252.48},{\"time\":\"2021-05-06 00:00:00\",\"value\":1256.04},{\"time\":\"2021-05-09 00:00:00\",\"value\":1243.84},{\"time\":\"2021-05-10 00:00:00\",\"value\":1254.06},{\"time\":\"2021-05-11 00:00:00\",\"value\":1271.55},{\"time\":\"2021-05-12 00:00:00\",\"value\":1286.55},{\"time\":\"2021-05-13 00:00:00\",\"value\":1346.95},{\"time\":\"2021-05-16 00:00:00\",\"value\":1363.01},{\"time\":\"2021-05-17 00:00:00\",\"value\":1375.48},{\"time\":\"2021-05-18 00:00:00\",\"value\":1456.03},{\"time\":\"2021-05-19 00:00:00\",\"value\":1457.25},{\"time\":\"2021-05-20 00:00:00\",\"value\":1547.4},{\"time\":\"2021-05-23 00:00:00\",\"value\":1651.95},{\"time\":\"2021-05-24 00:00:00\",\"value\":1615.52},{\"time\":\"2021-05-25 00:00:00\",\"value\":1613.78},{\"time\":\"2021-05-27 00:00:00\",\"value\":1650.83},{\"time\":\"2021-05-30 00:00:00\",\"value\":1734.74},{\"time\":\"2021-05-31 00:00:00\",\"value\":1725.56},{\"time\":\"2021-06-01 00:00:00\",\"value\":1741.84},{\"time\":\"2021-06-02 00:00:00\",\"value\":1879.67},{\"time\":\"2021-06-03 00:00:00\",\"value\":1942.51},{\"time\":\"2021-06-06 00:00:00\",\"value\":1970.23},{\"time\":\"2021-06-07 00:00:00\",\"value\":2134.16},{\"time\":\"2021-06-08 00:00:00\",\"value\":2320.09},{\"time\":\"2021-06-09 00:00:00\",\"value\":2367.47},{\"time\":\"2021-06-10 00:00:00\",\"value\":2428.42},{\"time\":\"2021-06-13 00:00:00\",\"value\":2601.92},{\"time\":\"2021-06-14 00:00:00\",\"value\":2626.73},{\"time\":\"2021-06-15 00:00:00\",\"value\":2540.22},{\"time\":\"2021-06-16 00:00:00\",\"value\":2367.54},{\"time\":\"2021-06-17 00:00:00\",\"value\":2401.46},{\"time\":\"2021-06-20 00:00:00\",\"value\":2321.17},{\"time\":\"2021-06-21 00:00:00\",\"value\":2200.96},{\"time\":\"2021-06-22 00:00:00\",\"value\":2328.56},{\"time\":\"2021-06-23 00:00:00\",\"value\":2257.11},{\"time\":\"2021-06-24 00:00:00\",\"value\":2228.03},{\"time\":\"2021-06-27 00:00:00\",\"value\":2188.76},{\"time\":\"2021-06-28 00:00:00\",\"value\":2132.06},{\"time\":\"2021-06-29 00:00:00\",\"value\":2044.45},{\"time\":\"2021-06-30 00:00:00\",\"value\":2163.87},{\"time\":\"2021-07-01 00:00:00\",\"value\":2229.59},{\"time\":\"2021-07-04 00:00:00\",\"value\":2189.83},{\"time\":\"2021-07-05 00:00:00\",\"value\":2134.83},{\"time\":\"2021-07-06 00:00:00\",\"value\":2133.34},{\"time\":\"2021-07-07 00:00:00\",\"value\":2100.38},{\"time\":\"2021-07-08 00:00:00\",\"value\":2165.33},{\"time\":\"2021-07-11 00:00:00\",\"value\":2346.59},{\"time\":\"2021-07-12 00:00:00\",\"value\":2324.82},{\"time\":\"2021-07-13 00:00:00\",\"value\":2418.36},{\"time\":\"2021-07-14 00:00:00\",\"value\":2454.24},{\"time\":\"2021-07-15 00:00:00\",\"value\":2513.67},{\"time\":\"2021-07-18 00:00:00\",\"value\":2548.91},{\"time\":\"2021-07-19 00:00:00\",\"value\":2513.9},{\"time\":\"2021-07-20 00:00:00\",\"value\":2481.47},{\"time\":\"2021-07-22 00:00:00\",\"value\":2522.32},{\"time\":\"2021-07-25 00:00:00\",\"value\":2547.18},{\"time\":\"2021-07-26 00:00:00\",\"value\":2597.36},{\"time\":\"2021-07-27 00:00:00\",\"value\":2671.24},{\"time\":\"2021-07-28 00:00:00\",\"value\":2739.31},{\"time\":\"2021-07-29 00:00:00\",\"value\":2686.11},{\"time\":\"2021-08-01 00:00:00\",\"value\":2654.39},{\"time\":\"2021-08-02 00:00:00\",\"value\":2663.38},{\"time\":\"2021-08-03 00:00:00\",\"value\":2673.8},{\"time\":\"2021-08-04 00:00:00\",\"value\":2717.82},{\"time\":\"2021-08-05 00:00:00\",\"value\":2693.31},{\"time\":\"2021-08-08 00:00:00\",\"value\":2715.21},{\"time\":\"2021-08-09 00:00:00\",\"value\":2810.71},{\"time\":\"2021-08-10 00:00:00\",\"value\":3000.85},{\"time\":\"2021-08-11 00:00:00\",\"value\":2981.19},{\"time\":\"2021-08-12 00:00:00\",\"value\":3013.88},{\"time\":\"2021-08-15 00:00:00\",\"value\":2933.34},{\"time\":\"2021-08-16 00:00:00\",\"value\":2904.35},{\"time\":\"2021-08-17 00:00:00\",\"value\":3046.12},{\"time\":\"2021-08-18 00:00:00\",\"value\":3199.14},{\"time\":\"2021-08-19 00:00:00\",\"value\":3124.58},{\"time\":\"2021-08-24 00:00:00\",\"value\":3169.65},{\"time\":\"2021-08-25 00:00:00\",\"value\":3148.37},{\"time\":\"2021-08-26 00:00:00\",\"value\":3268.58},{\"time\":\"2021-08-29 00:00:00\",\"value\":3291.55},{\"time\":\"2021-08-31 00:00:00\",\"value\":3188.71},{\"time\":\"2021-09-01 00:00:00\",\"value\":3097.82},{\"time\":\"2021-09-02 00:00:00\",\"value\":2983.94},{\"time\":\"2021-09-05 00:00:00\",\"value\":2744.65},{\"time\":\"2021-09-06 00:00:00\",\"value\":3000.86},{\"time\":\"2021-09-07 00:00:00\",\"value\":2951.4},{\"time\":\"2021-09-08 00:00:00\",\"value\":2854.35},{\"time\":\"2021-09-09 00:00:00\",\"value\":2817.93},{\"time\":\"2021-09-12 00:00:00\",\"value\":2932.88},{\"time\":\"2021-09-13 00:00:00\",\"value\":2935.39},{\"time\":\"2021-09-14 00:00:00\",\"value\":2908.71},{\"time\":\"2021-09-15 00:00:00\",\"value\":2822.81},{\"time\":\"2021-09-16 00:00:00\",\"value\":2683.38},{\"time\":\"2021-09-20 00:00:00\",\"value\":2453.53},{\"time\":\"2021-09-21 00:00:00\",\"value\":2435.07},{\"time\":\"2021-09-22 00:00:00\",\"value\":2643},{\"time\":\"2021-09-23 00:00:00\",\"value\":2651.15},{\"time\":\"2021-09-26 00:00:00\",\"value\":2493.89},{\"time\":\"2021-09-27 00:00:00\",\"value\":2380.93},{\"time\":\"2021-09-28 00:00:00\",\"value\":2204.78},{\"time\":\"2021-09-29 00:00:00\",\"value\":2312.25},{\"time\":\"2021-09-30 00:00:00\",\"value\":2243.29},{\"time\":\"2021-10-03 00:00:00\",\"value\":2146.17},{\"time\":\"2021-10-04 00:00:00\",\"value\":2093.24},{\"time\":\"2021-10-05 00:00:00\",\"value\":2179.11},{\"time\":\"2021-10-06 00:00:00\",\"value\":2323.23}],\"nepse\":[{\"time\":\"2020-07-16 00:00:00\",\"value\":1394.77},{\"time\":\"2020-07-19 00:00:00\",\"value\":1479.03},{\"time\":\"2020-07-20 00:00:00\",\"value\":1464.94},{\"time\":\"2020-07-21 00:00:00\",\"value\":1449.94},{\"time\":\"2020-07-22 00:00:00\",\"value\":1432.44},{\"time\":\"2020-07-23 00:00:00\",\"value\":1442.61},{\"time\":\"2020-07-26 00:00:00\",\"value\":1465.1},{\"time\":\"2020-07-27 00:00:00\",\"value\":1462.48},{\"time\":\"2020-07-28 00:00:00\",\"value\":1454.89},{\"time\":\"2020-07-29 00:00:00\",\"value\":1431.52},{\"time\":\"2020-07-30 00:00:00\",\"value\":1439.06},{\"time\":\"2020-08-02 00:00:00\",\"value\":1396.28},{\"time\":\"2020-08-03 00:00:00\",\"value\":1403.86},{\"time\":\"2020-08-05 00:00:00\",\"value\":1382.66},{\"time\":\"2020-08-06 00:00:00\",\"value\":1381.37},{\"time\":\"2020-08-09 00:00:00\",\"value\":1392.68},{\"time\":\"2020-08-10 00:00:00\",\"value\":1430.41},{\"time\":\"2020-08-11 00:00:00\",\"value\":1423.81},{\"time\":\"2020-08-12 00:00:00\",\"value\":1425.32},{\"time\":\"2020-08-13 00:00:00\",\"value\":1408.79},{\"time\":\"2020-08-16 00:00:00\",\"value\":1391.46},{\"time\":\"2020-08-17 00:00:00\",\"value\":1402.21},{\"time\":\"2020-08-18 00:00:00\",\"value\":1407.89},{\"time\":\"2020-08-19 00:00:00\",\"value\":1391.29},{\"time\":\"2020-08-20 00:00:00\",\"value\":1397.57},{\"time\":\"2020-08-23 00:00:00\",\"value\":1410.34},{\"time\":\"2020-08-24 00:00:00\",\"value\":1431.6},{\"time\":\"2020-08-25 00:00:00\",\"value\":1440.94},{\"time\":\"2020-08-26 00:00:00\",\"value\":1462.03},{\"time\":\"2020-08-27 00:00:00\",\"value\":1458.04},{\"time\":\"2020-08-30 00:00:00\",\"value\":1462.67},{\"time\":\"2020-08-31 00:00:00\",\"value\":1484.99},{\"time\":\"2020-09-02 00:00:00\",\"value\":1510.57},{\"time\":\"2020-09-03 00:00:00\",\"value\":1510.42},{\"time\":\"2020-09-06 00:00:00\",\"value\":1499.97},{\"time\":\"2020-09-07 00:00:00\",\"value\":1487.81},{\"time\":\"2020-09-08 00:00:00\",\"value\":1495.15},{\"time\":\"2020-09-09 00:00:00\",\"value\":1508.2},{\"time\":\"2020-09-10 00:00:00\",\"value\":1520.69},{\"time\":\"2020-09-13 00:00:00\",\"value\":1537.25},{\"time\":\"2020-09-14 00:00:00\",\"value\":1540.51},{\"time\":\"2020-09-15 00:00:00\",\"value\":1536.03},{\"time\":\"2020-09-16 00:00:00\",\"value\":1541.4},{\"time\":\"2020-09-17 00:00:00\",\"value\":1572.18},{\"time\":\"2020-09-20 00:00:00\",\"value\":1575.18},{\"time\":\"2020-09-21 00:00:00\",\"value\":1569.06},{\"time\":\"2020-09-22 00:00:00\",\"value\":1546.15},{\"time\":\"2020-09-23 00:00:00\",\"value\":1555.52},{\"time\":\"2020-09-24 00:00:00\",\"value\":1561.27},{\"time\":\"2020-09-27 00:00:00\",\"value\":1565.55},{\"time\":\"2020-09-28 00:00:00\",\"value\":1560.83},{\"time\":\"2020-09-29 00:00:00\",\"value\":1553.62},{\"time\":\"2020-09-30 00:00:00\",\"value\":1550.43},{\"time\":\"2020-10-01 00:00:00\",\"value\":1571.04},{\"time\":\"2020-10-04 00:00:00\",\"value\":1585.75},{\"time\":\"2020-10-05 00:00:00\",\"value\":1582.12},{\"time\":\"2020-10-06 00:00:00\",\"value\":1586.29},{\"time\":\"2020-10-07 00:00:00\",\"value\":1600.97},{\"time\":\"2020-10-08 00:00:00\",\"value\":1589.63},{\"time\":\"2020-10-11 00:00:00\",\"value\":1576.27},{\"time\":\"2020-10-12 00:00:00\",\"value\":1578.01},{\"time\":\"2020-10-13 00:00:00\",\"value\":1568.59},{\"time\":\"2020-10-14 00:00:00\",\"value\":1561.17},{\"time\":\"2020-10-15 00:00:00\",\"value\":1562.46},{\"time\":\"2020-10-18 00:00:00\",\"value\":1556.8},{\"time\":\"2020-10-19 00:00:00\",\"value\":1570.38},{\"time\":\"2020-10-20 00:00:00\",\"value\":1583.6},{\"time\":\"2020-10-21 00:00:00\",\"value\":1597.71},{\"time\":\"2020-10-22 00:00:00\",\"value\":1606.25},{\"time\":\"2020-10-28 00:00:00\",\"value\":1647.45},{\"time\":\"2020-10-29 00:00:00\",\"value\":1645.67},{\"time\":\"2020-11-01 00:00:00\",\"value\":1640.95},{\"time\":\"2020-11-02 00:00:00\",\"value\":1637.63},{\"time\":\"2020-11-03 00:00:00\",\"value\":1643.03},{\"time\":\"2020-11-04 00:00:00\",\"value\":1640.64},{\"time\":\"2020-11-05 00:00:00\",\"value\":1636.17},{\"time\":\"2020-11-08 00:00:00\",\"value\":1648.58},{\"time\":\"2020-11-09 00:00:00\",\"value\":1652.8},{\"time\":\"2020-11-10 00:00:00\",\"value\":1678.79},{\"time\":\"2020-11-11 00:00:00\",\"value\":1707.67},{\"time\":\"2020-11-12 00:00:00\",\"value\":1718.49},{\"time\":\"2020-11-18 00:00:00\",\"value\":1741.81},{\"time\":\"2020-11-19 00:00:00\",\"value\":1778.12},{\"time\":\"2020-11-22 00:00:00\",\"value\":1782.81},{\"time\":\"2020-11-23 00:00:00\",\"value\":1780.43},{\"time\":\"2020-11-24 00:00:00\",\"value\":1810.11},{\"time\":\"2020-11-25 00:00:00\",\"value\":1874.81},{\"time\":\"2020-11-26 00:00:00\",\"value\":1893.24},{\"time\":\"2020-11-29 00:00:00\",\"value\":1968.27},{\"time\":\"2020-11-30 00:00:00\",\"value\":1997.05},{\"time\":\"2020-12-01 00:00:00\",\"value\":2000.4},{\"time\":\"2020-12-02 00:00:00\",\"value\":2071.02},{\"time\":\"2020-12-03 00:00:00\",\"value\":2055.45},{\"time\":\"2020-12-06 00:00:00\",\"value\":1932.11},{\"time\":\"2020-12-07 00:00:00\",\"value\":2004.39},{\"time\":\"2020-12-08 00:00:00\",\"value\":1995.35},{\"time\":\"2020-12-09 00:00:00\",\"value\":1955.75},{\"time\":\"2020-12-10 00:00:00\",\"value\":1964.02},{\"time\":\"2020-12-13 00:00:00\",\"value\":2010.45},{\"time\":\"2020-12-14 00:00:00\",\"value\":2067.17},{\"time\":\"2020-12-15 00:00:00\",\"value\":2061.41},{\"time\":\"2020-12-16 00:00:00\",\"value\":2055.22},{\"time\":\"2020-12-17 00:00:00\",\"value\":2032.51},{\"time\":\"2020-12-20 00:00:00\",\"value\":1935.63},{\"time\":\"2020-12-21 00:00:00\",\"value\":1965.96},{\"time\":\"2020-12-22 00:00:00\",\"value\":2061.41},{\"time\":\"2020-12-23 00:00:00\",\"value\":2068.45},{\"time\":\"2020-12-24 00:00:00\",\"value\":2038.63},{\"time\":\"2020-12-27 00:00:00\",\"value\":1998.65},{\"time\":\"2020-12-28 00:00:00\",\"value\":2007.29},{\"time\":\"2020-12-29 00:00:00\",\"value\":2012.89},{\"time\":\"2020-12-30 00:00:00\",\"value\":2062.06},{\"time\":\"2020-12-31 00:00:00\",\"value\":2087.27},{\"time\":\"2021-01-03 00:00:00\",\"value\":2175.39},{\"time\":\"2021-01-04 00:00:00\",\"value\":2169.04},{\"time\":\"2021-01-05 00:00:00\",\"value\":2165.49},{\"time\":\"2021-01-06 00:00:00\",\"value\":2178.57},{\"time\":\"2021-01-07 00:00:00\",\"value\":2194.48},{\"time\":\"2021-01-10 00:00:00\",\"value\":2235.72},{\"time\":\"2021-01-11 00:00:00\",\"value\":2239.42},{\"time\":\"2021-01-12 00:00:00\",\"value\":2267.73},{\"time\":\"2021-01-13 00:00:00\",\"value\":2286.54},{\"time\":\"2021-01-17 00:00:00\",\"value\":2315},{\"time\":\"2021-01-18 00:00:00\",\"value\":2332.31},{\"time\":\"2021-01-19 00:00:00\",\"value\":2326.9},{\"time\":\"2021-01-20 00:00:00\",\"value\":2342.76},{\"time\":\"2021-01-21 00:00:00\",\"value\":2374.64},{\"time\":\"2021-01-24 00:00:00\",\"value\":2424.84},{\"time\":\"2021-01-25 00:00:00\",\"value\":2440.87},{\"time\":\"2021-01-26 00:00:00\",\"value\":2423.09},{\"time\":\"2021-01-27 00:00:00\",\"value\":2441.85},{\"time\":\"2021-01-28 00:00:00\",\"value\":2425.29},{\"time\":\"2021-01-31 00:00:00\",\"value\":2370.54},{\"time\":\"2021-02-01 00:00:00\",\"value\":2408.24},{\"time\":\"2021-02-02 00:00:00\",\"value\":2473.73},{\"time\":\"2021-02-03 00:00:00\",\"value\":2466.92},{\"time\":\"2021-02-04 00:00:00\",\"value\":2475.26},{\"time\":\"2021-02-07 00:00:00\",\"value\":2524},{\"time\":\"2021-02-08 00:00:00\",\"value\":2561.47},{\"time\":\"2021-02-09 00:00:00\",\"value\":2532.46},{\"time\":\"2021-02-10 00:00:00\",\"value\":2543.03},{\"time\":\"2021-02-11 00:00:00\",\"value\":2526.92},{\"time\":\"2021-02-14 00:00:00\",\"value\":2493.59},{\"time\":\"2021-02-15 00:00:00\",\"value\":2586.01},{\"time\":\"2021-02-16 00:00:00\",\"value\":2601.51},{\"time\":\"2021-02-17 00:00:00\",\"value\":2611.45},{\"time\":\"2021-02-18 00:00:00\",\"value\":2636.68},{\"time\":\"2021-02-21 00:00:00\",\"value\":2640.34},{\"time\":\"2021-02-22 00:00:00\",\"value\":2607.67},{\"time\":\"2021-02-23 00:00:00\",\"value\":2586.51},{\"time\":\"2021-02-24 00:00:00\",\"value\":2599.07},{\"time\":\"2021-02-25 00:00:00\",\"value\":2554.13},{\"time\":\"2021-02-28 00:00:00\",\"value\":2474.39},{\"time\":\"2021-03-01 00:00:00\",\"value\":2515.03},{\"time\":\"2021-03-02 00:00:00\",\"value\":2455.33},{\"time\":\"2021-03-03 00:00:00\",\"value\":2416.01},{\"time\":\"2021-03-04 00:00:00\",\"value\":2506.68},{\"time\":\"2021-03-07 00:00:00\",\"value\":2485.1},{\"time\":\"2021-03-09 00:00:00\",\"value\":2461.88},{\"time\":\"2021-03-10 00:00:00\",\"value\":2458.49},{\"time\":\"2021-03-14 00:00:00\",\"value\":2407.26},{\"time\":\"2021-03-15 00:00:00\",\"value\":2389.19},{\"time\":\"2021-03-16 00:00:00\",\"value\":2391.75},{\"time\":\"2021-03-17 00:00:00\",\"value\":2432.15},{\"time\":\"2021-03-18 00:00:00\",\"value\":2475.09},{\"time\":\"2021-03-21 00:00:00\",\"value\":2538.47},{\"time\":\"2021-03-22 00:00:00\",\"value\":2514.4},{\"time\":\"2021-03-23 00:00:00\",\"value\":2528.96},{\"time\":\"2021-03-24 00:00:00\",\"value\":2570.31},{\"time\":\"2021-03-25 00:00:00\",\"value\":2548.97},{\"time\":\"2021-03-29 00:00:00\",\"value\":2543.52},{\"time\":\"2021-03-30 00:00:00\",\"value\":2575.67},{\"time\":\"2021-03-31 00:00:00\",\"value\":2619.03},{\"time\":\"2021-04-01 00:00:00\",\"value\":2631.9},{\"time\":\"2021-04-04 00:00:00\",\"value\":2657.61},{\"time\":\"2021-04-05 00:00:00\",\"value\":2658.75},{\"time\":\"2021-04-06 00:00:00\",\"value\":2674.47},{\"time\":\"2021-04-07 00:00:00\",\"value\":2671.62},{\"time\":\"2021-04-08 00:00:00\",\"value\":2674.36},{\"time\":\"2021-04-12 00:00:00\",\"value\":2691.56},{\"time\":\"2021-04-13 00:00:00\",\"value\":2714.79},{\"time\":\"2021-04-15 00:00:00\",\"value\":2735.4},{\"time\":\"2021-04-18 00:00:00\",\"value\":2699.51},{\"time\":\"2021-04-19 00:00:00\",\"value\":2661.94},{\"time\":\"2021-04-20 00:00:00\",\"value\":2664.62},{\"time\":\"2021-04-21 00:00:00\",\"value\":2632.21},{\"time\":\"2021-04-22 00:00:00\",\"value\":2648.01},{\"time\":\"2021-04-25 00:00:00\",\"value\":2572.21},{\"time\":\"2021-04-26 00:00:00\",\"value\":2506.62},{\"time\":\"2021-04-27 00:00:00\",\"value\":2599.08},{\"time\":\"2021-04-28 00:00:00\",\"value\":2585.28},{\"time\":\"2021-04-29 00:00:00\",\"value\":2611.11},{\"time\":\"2021-05-02 00:00:00\",\"value\":2665.11},{\"time\":\"2021-05-03 00:00:00\",\"value\":2652.58},{\"time\":\"2021-05-04 00:00:00\",\"value\":2654.03},{\"time\":\"2021-05-05 00:00:00\",\"value\":2649.6},{\"time\":\"2021-05-06 00:00:00\",\"value\":2637.13},{\"time\":\"2021-05-09 00:00:00\",\"value\":2618.63},{\"time\":\"2021-05-10 00:00:00\",\"value\":2645.85},{\"time\":\"2021-05-11 00:00:00\",\"value\":2673.32},{\"time\":\"2021-05-12 00:00:00\",\"value\":2673.88},{\"time\":\"2021-05-13 00:00:00\",\"value\":2684.01},{\"time\":\"2021-05-16 00:00:00\",\"value\":2738.3},{\"time\":\"2021-05-17 00:00:00\",\"value\":2759.22},{\"time\":\"2021-05-18 00:00:00\",\"value\":2793.81},{\"time\":\"2021-05-19 00:00:00\",\"value\":2780.81},{\"time\":\"2021-05-20 00:00:00\",\"value\":2787.19},{\"time\":\"2021-05-23 00:00:00\",\"value\":2820},{\"time\":\"2021-05-24 00:00:00\",\"value\":2823.05},{\"time\":\"2021-05-25 00:00:00\",\"value\":2816.6},{\"time\":\"2021-05-27 00:00:00\",\"value\":2815.4},{\"time\":\"2021-05-30 00:00:00\",\"value\":2827.93},{\"time\":\"2021-05-31 00:00:00\",\"value\":2782.86},{\"time\":\"2021-06-01 00:00:00\",\"value\":2771.15},{\"time\":\"2021-06-02 00:00:00\",\"value\":2827.13},{\"time\":\"2021-06-03 00:00:00\",\"value\":2856.77},{\"time\":\"2021-06-06 00:00:00\",\"value\":2906.91},{\"time\":\"2021-06-07 00:00:00\",\"value\":2906.7},{\"time\":\"2021-06-08 00:00:00\",\"value\":2960.14},{\"time\":\"2021-06-09 00:00:00\",\"value\":2946.58},{\"time\":\"2021-06-10 00:00:00\",\"value\":2944.78},{\"time\":\"2021-06-13 00:00:00\",\"value\":2983.11},{\"time\":\"2021-06-14 00:00:00\",\"value\":3025.83},{\"time\":\"2021-06-15 00:00:00\",\"value\":3022.11},{\"time\":\"2021-06-16 00:00:00\",\"value\":2969.72},{\"time\":\"2021-06-17 00:00:00\",\"value\":2968.42},{\"time\":\"2021-06-20 00:00:00\",\"value\":2905.32},{\"time\":\"2021-06-21 00:00:00\",\"value\":2834.41},{\"time\":\"2021-06-22 00:00:00\",\"value\":2913.84},{\"time\":\"2021-06-23 00:00:00\",\"value\":2859.96},{\"time\":\"2021-06-24 00:00:00\",\"value\":2843},{\"time\":\"2021-06-27 00:00:00\",\"value\":2870.18},{\"time\":\"2021-06-28 00:00:00\",\"value\":2871.6969},{\"time\":\"2021-06-29 00:00:00\",\"value\":2828},{\"time\":\"2021-06-30 00:00:00\",\"value\":2823.88},{\"time\":\"2021-07-01 00:00:00\",\"value\":2843},{\"time\":\"2021-07-04 00:00:00\",\"value\":2834.52},{\"time\":\"2021-07-05 00:00:00\",\"value\":2822.74},{\"time\":\"2021-07-06 00:00:00\",\"value\":2818.11},{\"time\":\"2021-07-07 00:00:00\",\"value\":2801.13},{\"time\":\"2021-07-08 00:00:00\",\"value\":2825.11},{\"time\":\"2021-07-11 00:00:00\",\"value\":2899.82},{\"time\":\"2021-07-12 00:00:00\",\"value\":2854.84},{\"time\":\"2021-07-13 00:00:00\",\"value\":2871.03},{\"time\":\"2021-07-14 00:00:00\",\"value\":2872.05},{\"time\":\"2021-07-15 00:00:00\",\"value\":2883.38},{\"time\":\"2021-07-18 00:00:00\",\"value\":2980.61},{\"time\":\"2021-07-19 00:00:00\",\"value\":2994.42},{\"time\":\"2021-07-20 00:00:00\",\"value\":2985.57},{\"time\":\"2021-07-22 00:00:00\",\"value\":3004.33},{\"time\":\"2021-07-25 00:00:00\",\"value\":3058.64},{\"time\":\"2021-07-26 00:00:00\",\"value\":3050.43},{\"time\":\"2021-07-27 00:00:00\",\"value\":3076.3728},{\"time\":\"2021-07-28 00:00:00\",\"value\":3094.95},{\"time\":\"2021-07-29 00:00:00\",\"value\":3079.82},{\"time\":\"2021-08-01 00:00:00\",\"value\":3081.07},{\"time\":\"2021-08-02 00:00:00\",\"value\":3085.07},{\"time\":\"2021-08-03 00:00:00\",\"value\":3111.09},{\"time\":\"2021-08-04 00:00:00\",\"value\":3123.15},{\"time\":\"2021-08-05 00:00:00\",\"value\":3107.45},{\"time\":\"2021-08-08 00:00:00\",\"value\":3108.13},{\"time\":\"2021-08-09 00:00:00\",\"value\":3109.6},{\"time\":\"2021-08-10 00:00:00\",\"value\":3161.56},{\"time\":\"2021-08-11 00:00:00\",\"value\":3162.41},{\"time\":\"2021-08-12 00:00:00\",\"value\":3178.91},{\"time\":\"2021-08-15 00:00:00\",\"value\":3154.34},{\"time\":\"2021-08-16 00:00:00\",\"value\":3160.09},{\"time\":\"2021-08-17 00:00:00\",\"value\":3160.32},{\"time\":\"2021-08-18 00:00:00\",\"value\":3198.19},{\"time\":\"2021-08-19 00:00:00\",\"value\":3180.86},{\"time\":\"2021-08-24 00:00:00\",\"value\":3125.01},{\"time\":\"2021-08-25 00:00:00\",\"value\":3076.45},{\"time\":\"2021-08-26 00:00:00\",\"value\":3094.05},{\"time\":\"2021-08-29 00:00:00\",\"value\":3044.87},{\"time\":\"2021-08-31 00:00:00\",\"value\":2975.84},{\"time\":\"2021-09-01 00:00:00\",\"value\":2977.02},{\"time\":\"2021-09-02 00:00:00\",\"value\":2926.74},{\"time\":\"2021-09-05 00:00:00\",\"value\":2818.73},{\"time\":\"2021-09-06 00:00:00\",\"value\":2980.79},{\"time\":\"2021-09-07 00:00:00\",\"value\":2936.61},{\"time\":\"2021-09-08 00:00:00\",\"value\":2876.59},{\"time\":\"2021-09-09 00:00:00\",\"value\":2875.98},{\"time\":\"2021-09-12 00:00:00\",\"value\":2947.42},{\"time\":\"2021-09-13 00:00:00\",\"value\":2947.7},{\"time\":\"2021-09-14 00:00:00\",\"value\":2929.29},{\"time\":\"2021-09-15 00:00:00\",\"value\":2889.03},{\"time\":\"2021-09-16 00:00:00\",\"value\":2812.39},{\"time\":\"2021-09-20 00:00:00\",\"value\":2698.25},{\"time\":\"2021-09-21 00:00:00\",\"value\":2712.07},{\"time\":\"2021-09-22 00:00:00\",\"value\":2816.95},{\"time\":\"2021-09-23 00:00:00\",\"value\":2819.66},{\"time\":\"2021-09-26 00:00:00\",\"value\":2758.48},{\"time\":\"2021-09-27 00:00:00\",\"value\":2685.42},{\"time\":\"2021-09-28 00:00:00\",\"value\":2615.4},{\"time\":\"2021-09-29 00:00:00\",\"value\":2665.94},{\"time\":\"2021-09-30 00:00:00\",\"value\":2633.42},{\"time\":\"2021-10-03 00:00:00\",\"value\":2577.5},{\"time\":\"2021-10-04 00:00:00\",\"value\":2570.81},{\"time\":\"2021-10-05 00:00:00\",\"value\":2612.65},{\"time\":\"2021-10-06 00:00:00\",\"value\":2681.11}]}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2nI9a7HNQUtb"
      },
      "source": [
        "data = json.loads(req.content)\n",
        "data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UJUbUP3CQUz_"
      },
      "source": [
        "# other_date = [time for data in data['other']]"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wt6o4lqIQU7X"
      },
      "source": [
        "def extract_data(data):\n",
        "  df = {\"Date\":[], \"Value\":[]}\n",
        "  for d in data:\n",
        "    df['Date'].append(d['time'])\n",
        "    df['Value'].append(d['value'])\n",
        "  return df\n",
        "\n"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NqXz3-MkUiIL"
      },
      "source": [
        "import pandas as pd\n",
        "other = pd.DataFrame(extract_data(data['other']))\n",
        "nepse = pd.DataFrame(extract_data(data['nepse']))\n"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fNRTgFhgQVAY"
      },
      "source": [
        "other_nepse = pd.merge(other, nepse, on = 'Date')"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z_HCkudhQVEh"
      },
      "source": [
        "other_nepse['Date'] = pd.to_datetime(other_nepse['Date'])\n"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y8LrfUgFQVIj"
      },
      "source": [
        "final = other_nepse.set_index('Date')"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZpuRYtGnXbLr"
      },
      "source": [
        "final['ratio'] = final['Value_x']/final['Value_y']"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QdOhnUlPogRj",
        "outputId": "825e339d-ab93-4ce7-8ddd-c0090839b1a8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!pip install pandas_ta"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pandas_ta\n",
            "  Downloading pandas_ta-0.3.14b.tar.gz (115 kB)\n",
            "\u001b[K     |████████████████████████████████| 115 kB 8.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from pandas_ta) (1.1.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->pandas_ta) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->pandas_ta) (2018.9)\n",
            "Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.7/dist-packages (from pandas->pandas_ta) (1.19.5)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->pandas_ta) (1.15.0)\n",
            "Building wheels for collected packages: pandas-ta\n",
            "  Building wheel for pandas-ta (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pandas-ta: filename=pandas_ta-0.3.14b0-py3-none-any.whl size=218923 sha256=0460208d2a61cbed444b277ef5c9bb44d9254ec9acc1e85edfa3e30c8ce0dab3\n",
            "  Stored in directory: /root/.cache/pip/wheels/0b/81/f0/cca85757840e4616a2c6b9fe12569d97d324c27cac60724c58\n",
            "Successfully built pandas-ta\n",
            "Installing collected packages: pandas-ta\n",
            "Successfully installed pandas-ta-0.3.14b0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OAcqOzUQXpa_",
        "outputId": "a6d4b931-9ce8-4e92-9747-e1792c161560",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        }
      },
      "source": [
        "import numpy as np\n",
        "import pandas_ta as ta\n",
        "# np.log(final['ratio']).plot(figsize = (20,10))\n",
        "ta.ema(np.log(final['ratio']),8).plot(figsize = (20,10))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4adf4fc150>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z9VStyUbXpfe",
        "outputId": "b60c5cfd-34a3-453e-f9d0-1613d02ea659",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        }
      },
      "source": [
        "ta.ema(((final['ratio']/final['ratio'].shift(21))-1),21).plot(figsize = (20,10))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4adf3e6350>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wVP6a6uaXplf",
        "outputId": "8410f549-e5ce-44bb-fd78-406f1c7921ac",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "final['ratio']"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date\n",
              "2020-07-02    0.505394\n",
              "2020-07-05    0.496709\n",
              "2020-07-06    0.485913\n",
              "2020-07-07    0.486369\n",
              "2020-07-08    0.488741\n",
              "                ...   \n",
              "2021-09-15    0.977079\n",
              "2021-09-16    0.954128\n",
              "2021-09-20    0.909304\n",
              "2021-09-21    0.897864\n",
              "2021-09-22    0.938249\n",
              "Name: ratio, Length: 300, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gm9k_6ncFMDz",
        "outputId": "a82dc647-06d0-48a7-8cc4-eb140d474009",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        }
      },
      "source": [
        "info = json.loads(js.decode(\"utf-8\"))"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-19-97526393e253>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0minfo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"utf-8\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'js' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ihgz2AbxpHid"
      },
      "source": [
        " a= [\n",
        "  {\n",
        "    \"value\": \"92206\",\n",
        "    \"time\": \"2020-09-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92225\",\n",
        "    \"time\": \"2020-09-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92229\",\n",
        "    \"time\": \"2020-09-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92169\",\n",
        "    \"time\": \"2020-09-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92123\",\n",
        "    \"time\": \"2020-09-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92099\",\n",
        "    \"time\": \"2020-09-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92181\",\n",
        "    \"time\": \"2020-10-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92194\",\n",
        "    \"time\": \"2020-10-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92165\",\n",
        "    \"time\": \"2020-10-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92160\",\n",
        "    \"time\": \"2020-10-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92247\",\n",
        "    \"time\": \"2020-10-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92188\",\n",
        "    \"time\": \"2020-10-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92083\",\n",
        "    \"time\": \"2020-10-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92066\",\n",
        "    \"time\": \"2020-10-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91952\",\n",
        "    \"time\": \"2020-10-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91855\",\n",
        "    \"time\": \"2020-10-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91847\",\n",
        "    \"time\": \"2020-10-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91770\",\n",
        "    \"time\": \"2020-10-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91902\",\n",
        "    \"time\": \"2020-10-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92030\",\n",
        "    \"time\": \"2020-10-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92035\",\n",
        "    \"time\": \"2020-10-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92041\",\n",
        "    \"time\": \"2020-10-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92153\",\n",
        "    \"time\": \"2020-10-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92151\",\n",
        "    \"time\": \"2020-10-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92156\",\n",
        "    \"time\": \"2020-11-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92157\",\n",
        "    \"time\": \"2020-11-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92175\",\n",
        "    \"time\": \"2020-11-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92136\",\n",
        "    \"time\": \"2020-11-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92111\",\n",
        "    \"time\": \"2020-11-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92182\",\n",
        "    \"time\": \"2020-11-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92168\",\n",
        "    \"time\": \"2020-11-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92217\",\n",
        "    \"time\": \"2020-11-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92275\",\n",
        "    \"time\": \"2020-11-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92275\",\n",
        "    \"time\": \"2020-11-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92275\",\n",
        "    \"time\": \"2020-11-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92275\",\n",
        "    \"time\": \"2020-11-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92240\",\n",
        "    \"time\": \"2020-11-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92185\",\n",
        "    \"time\": \"2020-11-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92276\",\n",
        "    \"time\": \"2020-11-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92406\",\n",
        "    \"time\": \"2020-11-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92344\",\n",
        "    \"time\": \"2020-11-26\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92394\",\n",
        "    \"time\": \"2020-11-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92443\",\n",
        "    \"time\": \"2020-11-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92351\",\n",
        "    \"time\": \"2020-12-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92431\",\n",
        "    \"time\": \"2020-12-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92325\",\n",
        "    \"time\": \"2020-12-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92154\",\n",
        "    \"time\": \"2020-12-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92319\",\n",
        "    \"time\": \"2020-12-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92238\",\n",
        "    \"time\": \"2020-12-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92130\",\n",
        "    \"time\": \"2020-12-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92159\",\n",
        "    \"time\": \"2020-12-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92257\",\n",
        "    \"time\": \"2020-12-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92350\",\n",
        "    \"time\": \"2020-12-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92296\",\n",
        "    \"time\": \"2020-12-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92291\",\n",
        "    \"time\": \"2020-12-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92214\",\n",
        "    \"time\": \"2020-12-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92053\",\n",
        "    \"time\": \"2020-12-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92132\",\n",
        "    \"time\": \"2020-12-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92289\",\n",
        "    \"time\": \"2020-12-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92207\",\n",
        "    \"time\": \"2020-12-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92098\",\n",
        "    \"time\": \"2020-12-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91975\",\n",
        "    \"time\": \"2020-12-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91983\",\n",
        "    \"time\": \"2020-12-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91951\",\n",
        "    \"time\": \"2020-12-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91991\",\n",
        "    \"time\": \"2020-12-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92010\",\n",
        "    \"time\": \"2020-12-31\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92157\",\n",
        "    \"time\": \"2021-01-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92135\",\n",
        "    \"time\": \"2021-01-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92154\",\n",
        "    \"time\": \"2021-01-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92217\",\n",
        "    \"time\": \"2021-01-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92277\",\n",
        "    \"time\": \"2021-01-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92351\",\n",
        "    \"time\": \"2021-01-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92354\",\n",
        "    \"time\": \"2021-01-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92450\",\n",
        "    \"time\": \"2021-01-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92539\",\n",
        "    \"time\": \"2021-01-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92604\",\n",
        "    \"time\": \"2021-01-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92666\",\n",
        "    \"time\": \"2021-01-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92607\",\n",
        "    \"time\": \"2021-01-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92654\",\n",
        "    \"time\": \"2021-01-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92766\",\n",
        "    \"time\": \"2021-01-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92838\",\n",
        "    \"time\": \"2021-01-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92792\",\n",
        "    \"time\": \"2021-01-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92711\",\n",
        "    \"time\": \"2021-01-26\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92743\",\n",
        "    \"time\": \"2021-01-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92710\",\n",
        "    \"time\": \"2021-01-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92558\",\n",
        "    \"time\": \"2021-01-31\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92654\",\n",
        "    \"time\": \"2021-02-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92763\",\n",
        "    \"time\": \"2021-02-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92724\",\n",
        "    \"time\": \"2021-02-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92783\",\n",
        "    \"time\": \"2021-02-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92871\",\n",
        "    \"time\": \"2021-02-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92860\",\n",
        "    \"time\": \"2021-02-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92762\",\n",
        "    \"time\": \"2021-02-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92726\",\n",
        "    \"time\": \"2021-02-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92640\",\n",
        "    \"time\": \"2021-02-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92531\",\n",
        "    \"time\": \"2021-02-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92703\",\n",
        "    \"time\": \"2021-02-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92637\",\n",
        "    \"time\": \"2021-02-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92594\",\n",
        "    \"time\": \"2021-02-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92605\",\n",
        "    \"time\": \"2021-02-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92576\",\n",
        "    \"time\": \"2021-02-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92463\",\n",
        "    \"time\": \"2021-02-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92390\",\n",
        "    \"time\": \"2021-02-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92456\",\n",
        "    \"time\": \"2021-02-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92456\",\n",
        "    \"time\": \"2021-02-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92285\",\n",
        "    \"time\": \"2021-02-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92285\",\n",
        "    \"time\": \"2021-03-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92113\",\n",
        "    \"time\": \"2021-03-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92002\",\n",
        "    \"time\": \"2021-03-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92176\",\n",
        "    \"time\": \"2021-03-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92176\",\n",
        "    \"time\": \"2021-03-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92079\",\n",
        "    \"time\": \"2021-03-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91996\",\n",
        "    \"time\": \"2021-03-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91939\",\n",
        "    \"time\": \"2021-03-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91796\",\n",
        "    \"time\": \"2021-03-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91727\",\n",
        "    \"time\": \"2021-03-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91755\",\n",
        "    \"time\": \"2021-03-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91897\",\n",
        "    \"time\": \"2021-03-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92001\",\n",
        "    \"time\": \"2021-03-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92114\",\n",
        "    \"time\": \"2021-03-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92005\",\n",
        "    \"time\": \"2021-03-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92040\",\n",
        "    \"time\": \"2021-03-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92170\",\n",
        "    \"time\": \"2021-03-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92075\",\n",
        "    \"time\": \"2021-03-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92063\",\n",
        "    \"time\": \"2021-03-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92162\",\n",
        "    \"time\": \"2021-03-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92226\",\n",
        "    \"time\": \"2021-03-31\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92251\",\n",
        "    \"time\": \"2021-04-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92303\",\n",
        "    \"time\": \"2021-04-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92262\",\n",
        "    \"time\": \"2021-04-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92312\",\n",
        "    \"time\": \"2021-04-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92306\",\n",
        "    \"time\": \"2021-04-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92326\",\n",
        "    \"time\": \"2021-04-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92382\",\n",
        "    \"time\": \"2021-04-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92389\",\n",
        "    \"time\": \"2021-04-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92420\",\n",
        "    \"time\": \"2021-04-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92301\",\n",
        "    \"time\": \"2021-04-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92166\",\n",
        "    \"time\": \"2021-04-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92214\",\n",
        "    \"time\": \"2021-04-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92081\",\n",
        "    \"time\": \"2021-04-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92159\",\n",
        "    \"time\": \"2021-04-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91979\",\n",
        "    \"time\": \"2021-04-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91811\",\n",
        "    \"time\": \"2021-04-26\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91994\",\n",
        "    \"time\": \"2021-04-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91892\",\n",
        "    \"time\": \"2021-04-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92004\",\n",
        "    \"time\": \"2021-04-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92152\",\n",
        "    \"time\": \"2021-05-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92097\",\n",
        "    \"time\": \"2021-05-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92131\",\n",
        "    \"time\": \"2021-05-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92127\",\n",
        "    \"time\": \"2021-05-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92035\",\n",
        "    \"time\": \"2021-05-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91920\",\n",
        "    \"time\": \"2021-05-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92039\",\n",
        "    \"time\": \"2021-05-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92160\",\n",
        "    \"time\": \"2021-05-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92157\",\n",
        "    \"time\": \"2021-05-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92213\",\n",
        "    \"time\": \"2021-05-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92330\",\n",
        "    \"time\": \"2021-05-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92393\",\n",
        "    \"time\": \"2021-05-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92538\",\n",
        "    \"time\": \"2021-05-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92486\",\n",
        "    \"time\": \"2021-05-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92465\",\n",
        "    \"time\": \"2021-05-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92540\",\n",
        "    \"time\": \"2021-05-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92511\",\n",
        "    \"time\": \"2021-05-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92500\",\n",
        "    \"time\": \"2021-05-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92508\",\n",
        "    \"time\": \"2021-05-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92535\",\n",
        "    \"time\": \"2021-05-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92408\",\n",
        "    \"time\": \"2021-05-31\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92329\",\n",
        "    \"time\": \"2021-06-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92478\",\n",
        "    \"time\": \"2021-06-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92501\",\n",
        "    \"time\": \"2021-06-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92479\",\n",
        "    \"time\": \"2021-06-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92486\",\n",
        "    \"time\": \"2021-06-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92565\",\n",
        "    \"time\": \"2021-06-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92512\",\n",
        "    \"time\": \"2021-06-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92513\",\n",
        "    \"time\": \"2021-06-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92543\",\n",
        "    \"time\": \"2021-06-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92550\",\n",
        "    \"time\": \"2021-06-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92439\",\n",
        "    \"time\": \"2021-06-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92349\",\n",
        "    \"time\": \"2021-06-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92336\",\n",
        "    \"time\": \"2021-06-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92157\",\n",
        "    \"time\": \"2021-06-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91980\",\n",
        "    \"time\": \"2021-06-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92154\",\n",
        "    \"time\": \"2021-06-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92001\",\n",
        "    \"time\": \"2021-06-23\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91874\",\n",
        "    \"time\": \"2021-06-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91857\",\n",
        "    \"time\": \"2021-06-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91837\",\n",
        "    \"time\": \"2021-06-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91721\",\n",
        "    \"time\": \"2021-06-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91696\",\n",
        "    \"time\": \"2021-06-30\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91760\",\n",
        "    \"time\": \"2021-07-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91662\",\n",
        "    \"time\": \"2021-07-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91539\",\n",
        "    \"time\": \"2021-07-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91496\",\n",
        "    \"time\": \"2021-07-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91429\",\n",
        "    \"time\": \"2021-07-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91564\",\n",
        "    \"time\": \"2021-07-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91747\",\n",
        "    \"time\": \"2021-07-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91586\",\n",
        "    \"time\": \"2021-07-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91687\",\n",
        "    \"time\": \"2021-07-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91682\",\n",
        "    \"time\": \"2021-07-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91752\",\n",
        "    \"time\": \"2021-07-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91920\",\n",
        "    \"time\": \"2021-07-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91934\",\n",
        "    \"time\": \"2021-07-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91902\",\n",
        "    \"time\": \"2021-07-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91921\",\n",
        "    \"time\": \"2021-07-22\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92008\",\n",
        "    \"time\": \"2021-07-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92047\",\n",
        "    \"time\": \"2021-07-26\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92092\",\n",
        "    \"time\": \"2021-07-27\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92124\",\n",
        "    \"time\": \"2021-07-28\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92064\",\n",
        "    \"time\": \"2021-07-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92061\",\n",
        "    \"time\": \"2021-08-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92050\",\n",
        "    \"time\": \"2021-08-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92132\",\n",
        "    \"time\": \"2021-08-03\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92148\",\n",
        "    \"time\": \"2021-08-04\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92067\",\n",
        "    \"time\": \"2021-08-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92045\",\n",
        "    \"time\": \"2021-08-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92021\",\n",
        "    \"time\": \"2021-08-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92111\",\n",
        "    \"time\": \"2021-08-10\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92074\",\n",
        "    \"time\": \"2021-08-11\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92080\",\n",
        "    \"time\": \"2021-08-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92005\",\n",
        "    \"time\": \"2021-08-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91997\",\n",
        "    \"time\": \"2021-08-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91973\",\n",
        "    \"time\": \"2021-08-17\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"92028\",\n",
        "    \"time\": \"2021-08-18\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91962\",\n",
        "    \"time\": \"2021-08-19\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91851\",\n",
        "    \"time\": \"2021-08-24\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91702\",\n",
        "    \"time\": \"2021-08-25\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91719\",\n",
        "    \"time\": \"2021-08-26\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91588\",\n",
        "    \"time\": \"2021-08-29\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91429\",\n",
        "    \"time\": \"2021-08-31\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91388\",\n",
        "    \"time\": \"2021-09-01\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91249\",\n",
        "    \"time\": \"2021-09-02\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91071\",\n",
        "    \"time\": \"2021-09-05\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91263\",\n",
        "    \"time\": \"2021-09-06\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91126\",\n",
        "    \"time\": \"2021-09-07\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90986\",\n",
        "    \"time\": \"2021-09-08\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90983\",\n",
        "    \"time\": \"2021-09-09\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91147\",\n",
        "    \"time\": \"2021-09-12\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91117\",\n",
        "    \"time\": \"2021-09-13\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"91028\",\n",
        "    \"time\": \"2021-09-14\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90860\",\n",
        "    \"time\": \"2021-09-15\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90663\",\n",
        "    \"time\": \"2021-09-16\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90473\",\n",
        "    \"time\": \"2021-09-20\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90535\",\n",
        "    \"time\": \"2021-09-21\"\n",
        "  },\n",
        "  {\n",
        "    \"value\": \"90728\",\n",
        "    \"time\": \"2021-09-22\"\n",
        "  }\n",
        "]"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jpGHq7OD82qP"
      },
      "source": [
        "value = []\n",
        "date = []\n",
        "for i in a:\n",
        "  value.append(i['value'])\n",
        "  date.append(i['time'])\n",
        "\n",
        "  # for key, value in i.items():\n",
        "  #   date.append(value)"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IuEhBwI7CjN-"
      },
      "source": [
        "value1 = []\n",
        "date1 = []\n",
        "for i in b:\n",
        "  value1.append(i['close'])\n",
        "  date1.append(i['time'])\n"
      ],
      "execution_count": 96,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PSf6dtqE85SB"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qYJGJz3K-pW7"
      },
      "source": [
        "data = {'Date':date, \n",
        "        \"Value\":value}"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y1tNXRjGCsFQ"
      },
      "source": [
        "data1 = {'Date':date1, \n",
        "        \"Close\":value1}"
      ],
      "execution_count": 98,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QMUw3DD4DeeS",
        "outputId": "15ad19d2-80f3-449a-e91b-52f3019e5a10",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "data1"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Close': [], 'Date': []}"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HXbd7teu9_7V"
      },
      "source": [
        "df = pd.DataFrame(data)\n",
        "# nepse = pd.DataFrame(data1)"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7_StLtkV-u3q"
      },
      "source": [
        "df['Date'] = pd.to_datetime(df['Date'])\n",
        "df['Value'] = pd.to_numeric(df['Value'])"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DDpeXwUoC3R3"
      },
      "source": [
        "nepse['Date'] = pd.to_datetime(nepse['Date'])\n",
        "# nepse['Close'] = pd.to_numeric(nepse['Close'])"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B735iqLW-_2y"
      },
      "source": [
        "ddf = df.set_index(['Date'])"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2l43AlwkDAgb"
      },
      "source": [
        "Nepse = nepse.set_index(['Date'])"
      ],
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RaqPl3pV-veC",
        "outputId": "f2ca94c9-83d9-4594-811a-c0515ac53c6f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 603
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.title(\"Advance and Decline Line NEPSE As on 22.09.2021\")\n",
        "ddf['Value'].plot(figsize = (20,10))\n"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4adfd8fe90>"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BDRBN08F-4p6"
      },
      "source": [
        "pmo = ema(10 * ema(nz(roc(src, 1)), firstLength), secondLength)\n",
        "signal = ema(pmo, signalLength)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ANp_Rj5BBiwv"
      },
      "source": [
        "import pandas_ta as ta"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3YDWhCqsBkkl"
      },
      "source": [
        "pmo = ta.ema(10*ta.ema(ta.roc(ddf['Value'],1),35),20)\n",
        "signal = ta.ema(pmo, 10)"
      ],
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I55BxozHBwG8"
      },
      "source": [
        "pmo.plot(figsize = (20,10))\n",
        "signal.plot()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BAI_siiJCKJc"
      },
      "source": [
        "pmo1 = ta.ema(10*ta.ema(ta.roc(Nepse['Close'],1),35),20)\n",
        "signal1 = ta.zlma(pmo1, 18)"
      ],
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W-E9AqFvDNp5",
        "outputId": "d46dcd87-07a9-444e-dd0b-008518147e54",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 587
        }
      },
      "source": [
        "pmo1.plot(figsize = (20,10))\n",
        "signal1.plot()"
      ],
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0ab5c64fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 113
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ThuREozrDRcR"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}