yfinance_Tesla_Stock_Prediction_Sarimax.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rwLuMF1KEncc"
      },
      "source": [
        "`yfinance` is the most popular open source library to access the financial data available on Yahoo Finance.\n",
        "\n",
        "Yahoo Finance used to have their own official API, but this was decommissioned 2017.\n",
        "\n",
        "These days a range of unofficial APIs and libraries exist to access the same data, including of course yfinance.\n",
        "\n",
        "Note you might know of yfinance under it’s old name- `fix-yahoo-finance`, since it was re-named on May 26th 2019. To ensure backwards compatibility, fix-yahoo-finance now imports and uses yfinance anyway.\n",
        "\n",
        "Now, yfinance generally is considered great for prototyping, or doing basic research on historic data.\n",
        "\n",
        "But if you are building a serious trading system requiring complete confidence and total reliability on the data fed to the system, I’d recommend going with a official and alternative market data provider- preferably one claiming to provide low latency data directly from exchanges.\n",
        "\n",
        "Like Polygon or IEX.\n",
        "\n",
        "## Disclaimer\n",
        "\n",
        "### This notebook is entirely informative. None of the content presented in this notebook constitutes a recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Futures, stocks and options trading involves substantial risk of loss and is not suitable for every investor. The valuation of futures, stocks and options may fluctuate, and, as a result, clients may lose more than their original investment.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zIZINMPUFj6L",
        "outputId": "d927afa8-e57b-41c3-e05b-8b76bf7b4443"
      },
      "outputs": [],
      "source": [
        "!pip install yfinance\n",
        "\n",
        "# Some other packages that I am going to use in this notebook\n",
        "!pip install hvplot\n",
        "!pip install mplcyberpunk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6UZts70iEnci"
      },
      "outputs": [],
      "source": [
        "import yfinance as yf\n",
        "import pandas as pd\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import hvplot.pandas\n",
        "\n",
        "import mplcyberpunk\n",
        "from matplotlib import style\n",
        "style.use('cyberpunk')\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xZmssEaVEncl",
        "outputId": "6f1e7294-8987-4d91-838d-c6185175c513"
      },
      "outputs": [],
      "source": [
        "goog_stock = yf.Ticker(\"GOOG\")\n",
        "\n",
        "# get stock info\n",
        "print(goog_stock.info)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MLYPKknTEncl",
        "outputId": "d9f1439d-f972-4d5e-9b38-b2a4a14b3158"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(goog_stock.info)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pgp-fJVYEncm",
        "outputId": "6c082124-63eb-4c67-91df-02b7647bc6d7"
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      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "zip : 94043\n",
            "sector : Communication Services\n",
            "fullTimeEmployees : 135301\n",
            "longBusinessSummary : Alphabet Inc. provides online advertising services in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. The company offers performance and brand advertising services. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, such as ads, Android, Chrome, hardware, Google Maps, Google Play, Search, and YouTube, as well as technical infrastructure; and digital content. The Google Cloud segment offers infrastructure and data analytics platforms, collaboration tools, and other services for enterprise customers. The Other Bets segment sells internet and TV services, as well as licensing and research and development services. The company was founded in 1998 and is headquartered in Mountain View, California.\n",
            "city : Mountain View\n",
            "phone : 650-253-0000\n",
            "state : CA\n",
            "country : United States\n",
            "companyOfficers : []\n",
            "website : http://www.abc.xyz\n",
            "maxAge : 1\n",
            "address1 : 1600 Amphitheatre Parkway\n",
            "industry : Internet Content & Information\n",
            "ebitdaMargins : 0.35613\n",
            "profitMargins : 0.29521\n",
            "grossMargins : 0.56511\n",
            "operatingCashflow : 89395003392\n",
            "revenueGrowth : 0.41\n",
            "operatingMargins : 0.303\n",
            "ebitda : 85189001216\n",
            "targetLowPrice : 3100\n",
            "recommendationKey : buy\n",
            "grossProfits : 97795000000\n",
            "freeCashflow : 53492625408\n",
            "targetMedianPrice : 3190\n",
            "currentPrice : 2911.41\n",
            "earningsGrowth : 0.73\n",
            "currentRatio : 2.98\n",
            "returnOnAssets : 0.14011\n",
            "numberOfAnalystOpinions : 9\n",
            "targetMeanPrice : 3272.22\n",
            "debtToEquity : 10.532\n",
            "returnOnEquity : 0.30872\n",
            "targetHighPrice : 3500\n",
            "totalCash : 142002995200\n",
            "totalDebt : 25759000576\n",
            "totalRevenue : 239210004480\n",
            "totalCashPerShare : 210.644\n",
            "financialCurrency : USD\n",
            "revenuePerShare : 358.294\n",
            "quickRatio : 2.862\n",
            "recommendationMean : 1.6\n",
            "exchange : NMS\n",
            "shortName : Alphabet Inc.\n",
            "longName : Alphabet Inc.\n",
            "exchangeTimezoneName : America/New_York\n",
            "exchangeTimezoneShortName : EDT\n",
            "isEsgPopulated : False\n",
            "gmtOffSetMilliseconds : -14400000\n",
            "quoteType : EQUITY\n",
            "symbol : GOOG\n",
            "messageBoardId : finmb_29096\n",
            "market : us_market\n",
            "annualHoldingsTurnover : None\n",
            "enterpriseToRevenue : 7.386\n",
            "beta3Year : None\n",
            "enterpriseToEbitda : 20.741\n",
            "52WeekChange : 0.86860335\n",
            "morningStarRiskRating : None\n",
            "forwardEps : 110.63\n",
            "revenueQuarterlyGrowth : None\n",
            "sharesOutstanding : 320168000\n",
            "fundInceptionDate : None\n",
            "annualReportExpenseRatio : None\n",
            "totalAssets : None\n",
            "bookValue : 366.317\n",
            "sharesShort : 1880873\n",
            "sharesPercentSharesOut : 0.0028\n",
            "fundFamily : None\n",
            "lastFiscalYearEnd : 1609372800\n",
            "heldPercentInstitutions : 0.6706\n",
            "netIncomeToCommon : 70617997312\n",
            "trailingEps : 105.773\n",
            "lastDividendValue : None\n",
            "SandP52WeekChange : 0.37508416\n",
            "priceToBook : 7.9477882\n",
            "heldPercentInsiders : 0.00043000001\n",
            "nextFiscalYearEnd : 1672444800\n",
            "yield : None\n",
            "mostRecentQuarter : 1632960000\n",
            "shortRatio : 1.52\n",
            "sharesShortPreviousMonthDate : 1631664000\n",
            "floatShares : 587274156\n",
            "beta : None\n",
            "enterpriseValue : 1766916358144\n",
            "priceHint : 2\n",
            "threeYearAverageReturn : None\n",
            "lastSplitDate : 1430092800\n",
            "lastSplitFactor : 10027455:10000000\n",
            "legalType : None\n",
            "lastDividendDate : None\n",
            "morningStarOverallRating : None\n",
            "earningsQuarterlyGrowth : 0.684\n",
            "priceToSalesTrailing12Months : 8.104054\n",
            "dateShortInterest : 1634256000\n",
            "pegRatio : 1.32\n",
            "ytdReturn : None\n",
            "forwardPE : 26.31664\n",
            "lastCapGain : None\n",
            "shortPercentOfFloat : None\n",
            "sharesShortPriorMonth : 2636694\n",
            "impliedSharesOutstanding : 666755008\n",
            "category : None\n",
            "fiveYearAverageReturn : None\n",
            "previousClose : 2928.55\n",
            "regularMarketOpen : 2945.98\n",
            "twoHundredDayAverage : 2616.818\n",
            "trailingAnnualDividendYield : None\n",
            "payoutRatio : 0\n",
            "volume24Hr : None\n",
            "regularMarketDayHigh : 2948.49\n",
            "navPrice : None\n",
            "averageDailyVolume10Day : 1224562\n",
            "regularMarketPreviousClose : 2928.55\n",
            "fiftyDayAverage : 2807.8823\n",
            "trailingAnnualDividendRate : None\n",
            "open : 2945.98\n",
            "toCurrency : None\n",
            "averageVolume10days : 1224562\n",
            "expireDate : None\n",
            "algorithm : None\n",
            "dividendRate : None\n",
            "exDividendDate : None\n",
            "circulatingSupply : None\n",
            "startDate : None\n",
            "regularMarketDayLow : 2895.5\n",
            "currency : USD\n",
            "trailingPE : 27.525076\n",
            "regularMarketVolume : 522211\n",
            "lastMarket : None\n",
            "maxSupply : None\n",
            "openInterest : None\n",
            "marketCap : 1938571001856\n",
            "volumeAllCurrencies : None\n",
            "strikePrice : None\n",
            "averageVolume : 1084975\n",
            "dayLow : 2895.5\n",
            "ask : 2910.96\n",
            "askSize : 800\n",
            "volume : 522211\n",
            "fiftyTwoWeekHigh : 2982.36\n",
            "fromCurrency : None\n",
            "fiveYearAvgDividendYield : None\n",
            "fiftyTwoWeekLow : 1522.24\n",
            "bid : 2909.95\n",
            "tradeable : False\n",
            "dividendYield : None\n",
            "bidSize : 900\n",
            "dayHigh : 2948.49\n",
            "regularMarketPrice : 2911.41\n",
            "preMarketPrice : 2946.51\n",
            "logo_url : https://logo.clearbit.com/abc.xyz\n"
          ]
        }
      ],
      "source": [
        "goog_stock_info_dict = goog_stock.info\n",
        "\n",
        "for key, value in goog_stock_info_dict.items():\n",
        "  print(key, \":\", value)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "r1DUeo1gEncn",
        "outputId": "c7c65cb1-dbfc-4790-86e1-3ddd76139152"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Firm</th>\n",
              "      <th>To Grade</th>\n",
              "      <th>From Grade</th>\n",
              "      <th>Action</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-07-28 11:56:36</th>\n",
              "      <td>Oppenheimer</td>\n",
              "      <td>Outperform</td>\n",
              "      <td></td>\n",
              "      <td>main</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-07-28 15:01:22</th>\n",
              "      <td>Piper Sandler</td>\n",
              "      <td>Overweight</td>\n",
              "      <td></td>\n",
              "      <td>main</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-07-28 15:14:40</th>\n",
              "      <td>BMO Capital</td>\n",
              "      <td>Outperform</td>\n",
              "      <td></td>\n",
              "      <td>main</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-27 11:21:05</th>\n",
              "      <td>Raymond James</td>\n",
              "      <td>Outperform</td>\n",
              "      <td></td>\n",
              "      <td>main</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-27 12:11:57</th>\n",
              "      <td>Oppenheimer</td>\n",
              "      <td>Outperform</td>\n",
              "      <td></td>\n",
              "      <td>main</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              Firm    To Grade From Grade Action\n",
              "Date                                                            \n",
              "2021-07-28 11:56:36    Oppenheimer  Outperform              main\n",
              "2021-07-28 15:01:22  Piper Sandler  Overweight              main\n",
              "2021-07-28 15:14:40    BMO Capital  Outperform              main\n",
              "2021-10-27 11:21:05  Raymond James  Outperform              main\n",
              "2021-10-27 12:11:57    Oppenheimer  Outperform              main"
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# goog_stock.recommendations\n",
        "# type(goog_stock.recommendations)\n",
        "goog_stock.recommendations.tail()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jZvKXkuvEncn",
        "outputId": "02564ce1-4a57-42e0-9d2f-a9094c289ce7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Buy                  104\n",
              "Outperform            55\n",
              "Overweight            40\n",
              "Neutral               18\n",
              "Hold                  11\n",
              "Perform                4\n",
              "Market Outperform      3\n",
              "Positive               3\n",
              "                       2\n",
              "Long-Term Buy          1\n",
              "Equal-weight           1\n",
              "Sell                   1\n",
              "Strong Buy             1\n",
              "Market Perform         1\n",
              "Name: To Grade, dtype: int64"
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "goog_stock.recommendations['To Grade'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "b7bEj5vkEncp",
        "outputId": "5bd6552f-9876-4096-fd9a-931974b83451"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Holder</th>\n",
              "      <th>Shares</th>\n",
              "      <th>Date Reported</th>\n",
              "      <th>% Out</th>\n",
              "      <th>Value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Vanguard Group, Inc. (The)</td>\n",
              "      <td>21272689</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0664</td>\n",
              "      <td>53316165894</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Blackrock Inc.</td>\n",
              "      <td>19114259</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0597</td>\n",
              "      <td>47906449616</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Price (T.Rowe) Associates Inc</td>\n",
              "      <td>13993372</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0437</td>\n",
              "      <td>35071868111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>State Street Corporation</td>\n",
              "      <td>10659743</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0333</td>\n",
              "      <td>26716727075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>FMR, LLC</td>\n",
              "      <td>8028176</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0251</td>\n",
              "      <td>20121178072</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Geode Capital Management, LLC</td>\n",
              "      <td>4528294</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0141</td>\n",
              "      <td>11349353818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Capital International Investors</td>\n",
              "      <td>4144906</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0129</td>\n",
              "      <td>10388460805</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>JP Morgan Chase &amp; Company</td>\n",
              "      <td>3920416</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0122</td>\n",
              "      <td>9825817029</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Northern Trust Corporation</td>\n",
              "      <td>3670462</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0115</td>\n",
              "      <td>9199352319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>AllianceBernstein, L.P.</td>\n",
              "      <td>3285355</td>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>0.0103</td>\n",
              "      <td>8234150943</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                            Holder    Shares Date Reported   % Out        Value\n",
              "0       Vanguard Group, Inc. (The)  21272689    2021-06-29  0.0664  53316165894\n",
              "1                   Blackrock Inc.  19114259    2021-06-29  0.0597  47906449616\n",
              "2    Price (T.Rowe) Associates Inc  13993372    2021-06-29  0.0437  35071868111\n",
              "3         State Street Corporation  10659743    2021-06-29  0.0333  26716727075\n",
              "4                         FMR, LLC   8028176    2021-06-29  0.0251  20121178072\n",
              "5    Geode Capital Management, LLC   4528294    2021-06-29  0.0141  11349353818\n",
              "6  Capital International Investors   4144906    2021-06-29  0.0129  10388460805\n",
              "7        JP Morgan Chase & Company   3920416    2021-06-29  0.0122   9825817029\n",
              "8       Northern Trust Corporation   3670462    2021-06-29  0.0115   9199352319\n",
              "9          AllianceBernstein, L.P.   3285355    2021-06-29  0.0103   8234150943"
            ]
          },
          "execution_count": 60,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# goog_stock.major_holders\n",
        "goog_stock.institutional_holders\n",
        "\n",
        "# Checked that JP's holding Matches with the number reported in nasdaq\n",
        "# https://www.nasdaq.com/market-activity/stocks/goog/institutional-holdings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "Ur7x6c53Encq",
        "outputId": "94c6baa7-5123-41cf-e52c-1f4a3c6164ff"
      },
      "outputs": [
        {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Dividends</th>\n",
              "      <th>Stock Splits</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-03-29</th>\n",
              "      <td>2027.880005</td>\n",
              "      <td>2058.429932</td>\n",
              "      <td>2015.619995</td>\n",
              "      <td>2055.949951</td>\n",
              "      <td>1229800</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-30</th>\n",
              "      <td>2057.629883</td>\n",
              "      <td>2070.780029</td>\n",
              "      <td>2044.030029</td>\n",
              "      <td>2055.540039</td>\n",
              "      <td>1036600</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-31</th>\n",
              "      <td>2059.120117</td>\n",
              "      <td>2093.326904</td>\n",
              "      <td>2056.745117</td>\n",
              "      <td>2068.629883</td>\n",
              "      <td>1459900</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-01</th>\n",
              "      <td>2097.949951</td>\n",
              "      <td>2142.939941</td>\n",
              "      <td>2096.889893</td>\n",
              "      <td>2137.750000</td>\n",
              "      <td>1699000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-05</th>\n",
              "      <td>2152.939941</td>\n",
              "      <td>2237.310059</td>\n",
              "      <td>2151.620117</td>\n",
              "      <td>2225.550049</td>\n",
              "      <td>2164900</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-22</th>\n",
              "      <td>2807.020020</td>\n",
              "      <td>2831.169922</td>\n",
              "      <td>2743.409912</td>\n",
              "      <td>2772.500000</td>\n",
              "      <td>1507600</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-25</th>\n",
              "      <td>2776.209961</td>\n",
              "      <td>2784.115967</td>\n",
              "      <td>2734.969971</td>\n",
              "      <td>2775.459961</td>\n",
              "      <td>1054100</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-26</th>\n",
              "      <td>2812.120117</td>\n",
              "      <td>2816.790039</td>\n",
              "      <td>2780.110107</td>\n",
              "      <td>2793.439941</td>\n",
              "      <td>1412900</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-27</th>\n",
              "      <td>2798.050049</td>\n",
              "      <td>2982.360107</td>\n",
              "      <td>2798.050049</td>\n",
              "      <td>2928.550049</td>\n",
              "      <td>2588400</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-28</th>\n",
              "      <td>2945.979980</td>\n",
              "      <td>2948.489990</td>\n",
              "      <td>2895.500000</td>\n",
              "      <td>2911.409912</td>\n",
              "      <td>522268</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>150 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                   Open         High  ...  Dividends  Stock Splits\n",
              "Date                                  ...                         \n",
              "2021-03-29  2027.880005  2058.429932  ...          0             0\n",
              "2021-03-30  2057.629883  2070.780029  ...          0             0\n",
              "2021-03-31  2059.120117  2093.326904  ...          0             0\n",
              "2021-04-01  2097.949951  2142.939941  ...          0             0\n",
              "2021-04-05  2152.939941  2237.310059  ...          0             0\n",
              "...                 ...          ...  ...        ...           ...\n",
              "2021-10-22  2807.020020  2831.169922  ...          0             0\n",
              "2021-10-25  2776.209961  2784.115967  ...          0             0\n",
              "2021-10-26  2812.120117  2816.790039  ...          0             0\n",
              "2021-10-27  2798.050049  2982.360107  ...          0             0\n",
              "2021-10-28  2945.979980  2948.489990  ...          0             0\n",
              "\n",
              "[150 rows x 7 columns]"
            ]
          },
          "execution_count": 61,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# get historical market data\n",
        "hist = goog_stock.history(period=\"150d\")\n",
        "hist"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "4-AHMtb8Encr",
        "outputId": "81d4d16c-fe2f-4db7-aa73-e7f55d54a72f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2cc79421d0>"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1152x648 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot the closing prices\n",
        "hist['Close'].plot(figsize=(16, 9))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z9ElMSt1Enct"
      },
      "source": [
        "# Export data as CSV"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2tGQ9oUzEnct",
        "outputId": "b3422aba-c9a5-4233-d961-4acbec499817"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\r[*********************100%***********************]  1 of 1 completed\n"
          ]
        }
      ],
      "source": [
        "# Download stock data then export as CSV\n",
        "data_df = yf.download(\"AAPL\", start=\"2021-02-01\", end=\"2021-03-20\")\n",
        "data_df.to_csv('aapl.csv')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ggzjv9-REncu"
      },
      "source": [
        "---\n",
        "\n",
        "# Single Ticker - Minute level data (Very useful for Time Series Analysis)\n",
        "\n",
        "Now I will fetch the data of minute frequency. You can download for other frequency by just tweaking the interval parameter.\n",
        "\n",
        "The supported values for the `interval` parameter is : 1m, 5m, 15m, 30m, 60m."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "AKhss32QEncu",
        "outputId": "2cec3108-2d46-4c36-908e-eaa71077bf57"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\r[*********************100%***********************]  1 of 1 completed\n"
          ]
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              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
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              "      <th>2021-10-28 10:40:00-04:00</th>\n",
              "      <td>2909.260010</td>\n",
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              "      <th>2021-10-28 10:41:00-04:00</th>\n",
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              "      <th>2021-10-28 10:42:00-04:00</th>\n",
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              "      <td>2906.620117</td>\n",
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              "      <th>2021-10-28 10:43:00-04:00</th>\n",
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              "      <td>2413</td>\n",
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              "      <th>2021-10-28 10:44:45-04:00</th>\n",
              "      <td>2911.409912</td>\n",
              "      <td>2911.409912</td>\n",
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            "text/plain": [
              "                                  Open         High  ...    Adj Close  Volume\n",
              "Datetime                                             ...                     \n",
              "2021-10-28 10:40:00-04:00  2909.260010  2909.330078  ...  2909.330078    2046\n",
              "2021-10-28 10:41:00-04:00  2910.469971  2910.469971  ...  2909.020020    4172\n",
              "2021-10-28 10:42:00-04:00  2907.804932  2907.804932  ...  2906.620117    2239\n",
              "2021-10-28 10:43:00-04:00  2907.899902  2907.899902  ...  2907.899902    2413\n",
              "2021-10-28 10:44:45-04:00  2911.409912  2911.409912  ...  2911.409912       0\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "execution_count": 64,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data = yf.download(tickers=\"GOOG\", period=\"5d\", interval=\"1m\")\n",
        "\n",
        "data.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qpo8zOqUEnc5"
      },
      "source": [
        "---\n",
        "\n",
        "# Multiple Tickers\n",
        "\n",
        "In the below code, I will fetch the data of multiple stocks and store it in a dataframe.\n",
        "Then will calculate the daily returns and plot the cumulative returns of all the list of stocks."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "iqnZTNa5Enc6",
        "outputId": "ed473536-8057-483b-db31-f22730cd6384"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[*********************100%***********************]  4 of 4 completed\n"
          ]
        },
        {
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AAPL</th>\n",
              "      <th>FB</th>\n",
              "      <th>GOOG</th>\n",
              "      <th>TSLA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-10-22</th>\n",
              "      <td>148.690002</td>\n",
              "      <td>324.609985</td>\n",
              "      <td>2772.500000</td>\n",
              "      <td>909.679993</td>\n",
              "    </tr>\n",
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              "      <th>2021-10-25</th>\n",
              "      <td>148.639999</td>\n",
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              "      <td>2775.459961</td>\n",
              "      <td>1024.859985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-26</th>\n",
              "      <td>149.320007</td>\n",
              "      <td>315.809998</td>\n",
              "      <td>2793.439941</td>\n",
              "      <td>1018.429993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-27</th>\n",
              "      <td>148.850006</td>\n",
              "      <td>312.220001</td>\n",
              "      <td>2928.550049</td>\n",
              "      <td>1037.859985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-28</th>\n",
              "      <td>152.500000</td>\n",
              "      <td>313.459991</td>\n",
              "      <td>2911.409912</td>\n",
              "      <td>1070.469971</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  AAPL          FB         GOOG         TSLA\n",
              "Date                                                        \n",
              "2021-10-22  148.690002  324.609985  2772.500000   909.679993\n",
              "2021-10-25  148.639999  328.690002  2775.459961  1024.859985\n",
              "2021-10-26  149.320007  315.809998  2793.439941  1018.429993\n",
              "2021-10-27  148.850006  312.220001  2928.550049  1037.859985\n",
              "2021-10-28  152.500000  313.459991  2911.409912  1070.469971"
            ]
          },
          "execution_count": 65,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tickers_list = ['AAPL', 'GOOG', 'FB', 'TSLA']\n",
        "\n",
        "tickers_df = yf.download(tickers_list,'2020-1-1')['Adj Close']\n",
        "\n",
        "tickers_df.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O-My_kNUEnc6"
      },
      "source": [
        "---\n",
        "\n",
        "# Multiple Tickers - Calculating % Change of Stock-Price\n",
        "\n",
        "-  calculate percentage changes with \"pct_change()\"\n",
        "-  multiply by 100 to get percentage value\n",
        "-  round off the percentages to 2 decimal points"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "id": "X5NL9oxgEnc7",
        "outputId": "c850b8d6-93f4-44e3-9420-6604ca6efc0d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AAPL</th>\n",
              "      <th>GOOG</th>\n",
              "      <th>FB</th>\n",
              "      <th>TSLA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-10-15</th>\n",
              "      <td>0.75</td>\n",
              "      <td>0.19</td>\n",
              "      <td>-1.15</td>\n",
              "      <td>3.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-18</th>\n",
              "      <td>1.18</td>\n",
              "      <td>0.91</td>\n",
              "      <td>3.26</td>\n",
              "      <td>3.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-19</th>\n",
              "      <td>1.51</td>\n",
              "      <td>0.60</td>\n",
              "      <td>1.39</td>\n",
              "      <td>-0.67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-20</th>\n",
              "      <td>0.34</td>\n",
              "      <td>-0.98</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-21</th>\n",
              "      <td>0.15</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.32</td>\n",
              "      <td>3.26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-22</th>\n",
              "      <td>-0.53</td>\n",
              "      <td>-2.91</td>\n",
              "      <td>-5.05</td>\n",
              "      <td>1.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-25</th>\n",
              "      <td>-0.03</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1.26</td>\n",
              "      <td>12.66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-26</th>\n",
              "      <td>0.46</td>\n",
              "      <td>0.65</td>\n",
              "      <td>-3.92</td>\n",
              "      <td>-0.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-27</th>\n",
              "      <td>-0.31</td>\n",
              "      <td>4.84</td>\n",
              "      <td>-1.14</td>\n",
              "      <td>1.91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-10-28</th>\n",
              "      <td>2.45</td>\n",
              "      <td>-0.59</td>\n",
              "      <td>0.40</td>\n",
              "      <td>3.14</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            AAPL  GOOG    FB   TSLA\n",
              "Date                               \n",
              "2021-10-15  0.75  0.19 -1.15   3.02\n",
              "2021-10-18  1.18  0.91  3.26   3.21\n",
              "2021-10-19  1.51  0.60  1.39  -0.67\n",
              "2021-10-20  0.34 -0.98  0.23   0.18\n",
              "2021-10-21  0.15  0.26  0.32   3.26\n",
              "2021-10-22 -0.53 -2.91 -5.05   1.75\n",
              "2021-10-25 -0.03  0.11  1.26  12.66\n",
              "2021-10-26  0.46  0.65 -3.92  -0.63\n",
              "2021-10-27 -0.31  4.84 -1.14   1.91\n",
              "2021-10-28  2.45 -0.59  0.40   3.14"
            ]
          },
          "execution_count": 66,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "portfolio_daily_return_df = round(tickers_df[tickers_list].pct_change() * 100, 2)\n",
        "\n",
        "portfolio_daily_return_df.tail(10)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JiOaj-NxEnc7"
      },
      "source": [
        "# Plot Daily % Change:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "k5EV5ysyEnc7",
        "outputId": "c1c2b298-f335-4a9b-b635-ff34b7355dae"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ce2213050>"
            ]
          },
          "execution_count": 67,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1296x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "portfolio_daily_return_df.plot(figsize=(18, 10), title=\"Daily Returns\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fgo_whBwEnc8"
      },
      "source": [
        "# Cumulative Stock return of multiple tickers and plotting them\n",
        "\n",
        "cumprod() -> https://www.w3schools.com/python/pandas/ref_df_cumprod.asp\n",
        "\n",
        "The cumprod() method returns a DataFrame with the cumulative product for each row.\n",
        "\n",
        "The cumprod() method goes through the values in the DataFrame, from the top, row by row, multiplying the values with the value from the previous row, ending up with a DataFrame where the last row contains the product of all values for each column.\n",
        "\n",
        "If the axis parameter is set to axes='columns', the method goes through the values, column by column, and ends up with a DataFrame where the last columns contains the product of all values for each row."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 685
        },
        "id": "itQn1TWnEnc8",
        "outputId": "350be4ac-7a84-41d3-88d8-b68b25b6f641"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1440x864 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Calculating Cumulative % change for Plotting all the closing prices\n",
        "((tickers_df.pct_change()+1).cumprod()).plot(figsize=(20, 12))\n",
        "\n",
        "plt.legend()\n",
        "plt.title(\"Stock Daily Returns\", fontsize=16)\n",
        "plt.ylabel('Cumulative Stock Returns', fontsize=14)\n",
        "plt.xlabel('Year', fontsize=14)\n",
        "\n",
        "plt.grid(which=\"major\", color='k', linestyle='-.', linewidth=0.5)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JGleyis0Enc9"
      },
      "source": [
        "# Standard Deviation — \n",
        "\n",
        "- helps determine market volatility or the spread of asset prices from their average price.\n",
        "- When prices have big swings and move wildly, standard deviation is high, meaning an investment will be risky, the lower the ‘std()’ the less risky.\n",
        "\n",
        "### Below Calculating daily STD"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jpZrhPcZEnc9",
        "outputId": "0f208e75-8250-463d-e029-faa820547f2c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "AAPL    2.417138\n",
              "GOOG    2.058606\n",
              "FB      2.474736\n",
              "TSLA    4.738273\n",
              "dtype: float64"
            ]
          },
          "execution_count": 69,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "portfolio_daily_return_df.std()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FuQ0Pmn8Enc9",
        "outputId": "fb27c20e-e611-4d04-9cb9-a89f13989616"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "AAPL    38.370869\n",
              "GOOG    32.679363\n",
              "FB      39.285214\n",
              "TSLA    75.217753\n",
              "dtype: float64"
            ]
          },
          "execution_count": 70,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Now Calculate the annualized standard deviation (252 trading days)\n",
        "\n",
        "portfolio_daily_return_df.std() * np.sqrt(252)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nofLeZf_Enc-"
      },
      "source": [
        "# Construct a correlation table\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "FEwc8GSLEnc-",
        "outputId": "067c20ab-f8e4-46f0-d1bd-8c36cd883212"
      },
      "outputs": [
        {
          "data": {
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              "        }</style><table id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002\" class=\"dataframe\"><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >AAPL</th>        <th class=\"col_heading level0 col1\" >GOOG</th>        <th class=\"col_heading level0 col2\" >FB</th>        <th class=\"col_heading level0 col3\" >TSLA</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >AAPL</th>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.705276</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.714479</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.471770</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >GOOG</th>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row1_col0\" class=\"data row1 col0\" >0.705276</td>\n",
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              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row1_col2\" class=\"data row1 col2\" >0.748703</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.414678</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >FB</th>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row2_col0\" class=\"data row2 col0\" >0.714479</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row2_col1\" class=\"data row2 col1\" >0.748703</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.378754</td>\n",
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              "            <tr>\n",
              "                        <th id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >TSLA</th>\n",
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              "                        <td id=\"T_a0c34272_37fd_11ec_883b_0242ac1c0002row3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f2ce21ccc10>"
            ]
          },
          "execution_count": 71,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "corr_df = portfolio_daily_return_df.corr()\n",
        "\n",
        "corr_df.style.background_gradient(cmap=\"summer\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "It8vcYwnEnc-"
      },
      "source": [
        "#  Calculate a rolling window using the Exponentially Weighted Moving Average. \n",
        "\n",
        "EMA is a moving average that places a greater weight and significance on the most recent data points."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "56Y0BtyAEnc-",
        "outputId": "1b75a3ce-5ef9-4038-b02f-ae170858f10f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ce2270650>"
            ]
          },
          "execution_count": 72,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "portfolio_daily_return_df.ewm(halflife=21).std().plot(figsize=(20, 10), title=\"Exponentially Weighted Average\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rsn7D6W-Enc-"
      },
      "source": [
        "# Calculate annualized Sharpe Ratios\n",
        "\n",
        "The Sharpe ratio is one of the most widely used methods for calculating risk-adjusted return."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8MA-BmkZEnc-"
      },
      "outputs": [],
      "source": [
        "# !pip install --upgrade --force-reinstall --no-deps hvplot\n",
        "\n",
        "sharpe_ratios = (portfolio_daily_return_df.mean() * 252) / (portfolio_daily_return_df.std() * np.sqrt(252))\n",
        "\n",
        "# Visualize the sharpe ratios as a bar plot\n",
        "\n",
        "sharpe_ratios.hvplot.barh(figsize=(15, 8), title=\"Sharpe Ratios\", color= 'red')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V0RRrCFNEnc_"
      },
      "source": [
        "# Get data for all stock tickers in S&P500 (or for other Listed indexes)\n",
        "\n",
        "Here, I can get the tickers from the Wikipedia page and use those tickers to get data from yfinance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "rKjT3DGxEnc_",
        "outputId": "25863ab4-9036-49fd-884b-aa24c489335d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Symbol</th>\n",
              "      <th>Security</th>\n",
              "      <th>SEC filings</th>\n",
              "      <th>GICS Sector</th>\n",
              "      <th>GICS Sub-Industry</th>\n",
              "      <th>Headquarters Location</th>\n",
              "      <th>Date first added</th>\n",
              "      <th>CIK</th>\n",
              "      <th>Founded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MMM</td>\n",
              "      <td>3M</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Conglomerates</td>\n",
              "      <td>Saint Paul, Minnesota</td>\n",
              "      <td>1976-08-09</td>\n",
              "      <td>66740</td>\n",
              "      <td>1902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ABT</td>\n",
              "      <td>Abbott Laboratories</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>1964-03-31</td>\n",
              "      <td>1800</td>\n",
              "      <td>1888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABBV</td>\n",
              "      <td>AbbVie</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1551152</td>\n",
              "      <td>2013 (1888)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABMD</td>\n",
              "      <td>Abiomed</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Danvers, Massachusetts</td>\n",
              "      <td>2018-05-31</td>\n",
              "      <td>815094</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ACN</td>\n",
              "      <td>Accenture</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>IT Consulting &amp; Other Services</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2011-07-06</td>\n",
              "      <td>1467373</td>\n",
              "      <td>1989</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Symbol             Security  ...      CIK      Founded\n",
              "0    MMM                   3M  ...    66740         1902\n",
              "1    ABT  Abbott Laboratories  ...     1800         1888\n",
              "2   ABBV               AbbVie  ...  1551152  2013 (1888)\n",
              "3   ABMD              Abiomed  ...   815094         1981\n",
              "4    ACN            Accenture  ...  1467373         1989\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "execution_count": 74,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sp_500_tickers = pd.read_html(\n",
        "    'https://en.wikipedia.org/wiki/List_of_S%26P_500_companies')[0]\n",
        "\n",
        "sp_500_tickers.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "LBA1DlAQEnc_",
        "outputId": "89134780-6295-4159-ac29-7f66d4f7d048"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[*********************100%***********************]  505 of 505 completed\n",
            "\n",
            "2 Failed downloads:\n",
            "- BRK.B: No data found, symbol may be delisted\n",
            "- BF.B: No data found for this date range, symbol may be delisted\n"
          ]
        },
        {
          "data": {
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              "      <th></th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>2021-05-03</th>\n",
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              "      <td>199.860977</td>\n",
              "      <td>132.117294</td>\n",
              "      <td>112.057091</td>\n",
              "      <td>122.881981</td>\n",
              "      <td>308.640015</td>\n",
              "      <td>118.618675</td>\n",
              "      <td>290.485199</td>\n",
              "      <td>503.459991</td>\n",
              "      <td>150.048904</td>\n",
              "      <td>63.897034</td>\n",
              "      <td>189.697632</td>\n",
              "      <td>287.500000</td>\n",
              "      <td>84.088005</td>\n",
              "      <td>87.206932</td>\n",
              "      <td>27.179838</td>\n",
              "      <td>53.890156</td>\n",
              "      <td>48.461674</td>\n",
              "      <td>156.524124</td>\n",
              "      <td>144.104721</td>\n",
              "      <td>107.019997</td>\n",
              "      <td>165.342697</td>\n",
              "      <td>599.770020</td>\n",
              "      <td>68.690002</td>\n",
              "      <td>126.628380</td>\n",
              "      <td>135.365753</td>\n",
              "      <td>132.375977</td>\n",
              "      <td>11.564848</td>\n",
              "      <td>78.550003</td>\n",
              "      <td>133.907349</td>\n",
              "      <td>241.799530</td>\n",
              "      <td>255.636017</td>\n",
              "      <td>250.050980</td>\n",
              "      <td>3386.489990</td>\n",
              "      <td>314.709991</td>\n",
              "      <td>361.549988</td>\n",
              "      <td>384.291107</td>\n",
              "      <td>251.971878</td>\n",
              "      <td>70.026665</td>\n",
              "      <td>...</td>\n",
              "      <td>231.956406</td>\n",
              "      <td>88.663879</td>\n",
              "      <td>39.200802</td>\n",
              "      <td>76.078430</td>\n",
              "      <td>178.965225</td>\n",
              "      <td>44.629360</td>\n",
              "      <td>187.966232</td>\n",
              "      <td>221.250000</td>\n",
              "      <td>217.949997</td>\n",
              "      <td>55.062225</td>\n",
              "      <td>13.304370</td>\n",
              "      <td>56.604321</td>\n",
              "      <td>80.751823</td>\n",
              "      <td>301.670013</td>\n",
              "      <td>53.311386</td>\n",
              "      <td>70.120003</td>\n",
              "      <td>96.616478</td>\n",
              "      <td>75.321190</td>\n",
              "      <td>45.184334</td>\n",
              "      <td>238.040192</td>\n",
              "      <td>259.364258</td>\n",
              "      <td>139.252502</td>\n",
              "      <td>24.004622</td>\n",
              "      <td>141.045029</td>\n",
              "      <td>79.677971</td>\n",
              "      <td>56.884193</td>\n",
              "      <td>329.728851</td>\n",
              "      <td>25.132883</td>\n",
              "      <td>38.464024</td>\n",
              "      <td>128.860001</td>\n",
              "      <td>70.662529</td>\n",
              "      <td>123.550003</td>\n",
              "      <td>57.110996</td>\n",
              "      <td>67.768227</td>\n",
              "      <td>111.099686</td>\n",
              "      <td>119.037743</td>\n",
              "      <td>177.397537</td>\n",
              "      <td>479.049988</td>\n",
              "      <td>55.134338</td>\n",
              "      <td>175.018555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-04</th>\n",
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              "      <td>21.420000</td>\n",
              "      <td>202.128296</td>\n",
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              "      <td>111.294930</td>\n",
              "      <td>124.926865</td>\n",
              "      <td>305.000000</td>\n",
              "      <td>116.643852</td>\n",
              "      <td>289.918488</td>\n",
              "      <td>490.700012</td>\n",
              "      <td>150.633957</td>\n",
              "      <td>64.361702</td>\n",
              "      <td>192.184509</td>\n",
              "      <td>279.730011</td>\n",
              "      <td>84.117622</td>\n",
              "      <td>86.911919</td>\n",
              "      <td>26.543819</td>\n",
              "      <td>54.255878</td>\n",
              "      <td>47.819469</td>\n",
              "      <td>156.345581</td>\n",
              "      <td>144.541824</td>\n",
              "      <td>105.190002</td>\n",
              "      <td>161.477829</td>\n",
              "      <td>582.150024</td>\n",
              "      <td>66.559998</td>\n",
              "      <td>126.341774</td>\n",
              "      <td>136.698807</td>\n",
              "      <td>128.260712</td>\n",
              "      <td>12.192627</td>\n",
              "      <td>78.610001</td>\n",
              "      <td>135.622192</td>\n",
              "      <td>243.750641</td>\n",
              "      <td>255.318756</td>\n",
              "      <td>246.544205</td>\n",
              "      <td>3311.870117</td>\n",
              "      <td>305.540009</td>\n",
              "      <td>350.600006</td>\n",
              "      <td>389.351013</td>\n",
              "      <td>253.439011</td>\n",
              "      <td>71.262016</td>\n",
              "      <td>...</td>\n",
              "      <td>231.378036</td>\n",
              "      <td>88.881027</td>\n",
              "      <td>39.507214</td>\n",
              "      <td>76.088165</td>\n",
              "      <td>188.457321</td>\n",
              "      <td>46.308697</td>\n",
              "      <td>187.936310</td>\n",
              "      <td>219.220001</td>\n",
              "      <td>214.850006</td>\n",
              "      <td>54.491329</td>\n",
              "      <td>13.205819</td>\n",
              "      <td>57.268875</td>\n",
              "      <td>81.080894</td>\n",
              "      <td>299.750000</td>\n",
              "      <td>53.134663</td>\n",
              "      <td>67.279999</td>\n",
              "      <td>96.478455</td>\n",
              "      <td>73.765335</td>\n",
              "      <td>45.442646</td>\n",
              "      <td>240.697708</td>\n",
              "      <td>261.143097</td>\n",
              "      <td>139.788315</td>\n",
              "      <td>23.820494</td>\n",
              "      <td>139.655624</td>\n",
              "      <td>79.905586</td>\n",
              "      <td>57.340298</td>\n",
              "      <td>329.049164</td>\n",
              "      <td>25.328775</td>\n",
              "      <td>38.288166</td>\n",
              "      <td>124.349998</td>\n",
              "      <td>70.879578</td>\n",
              "      <td>123.059998</td>\n",
              "      <td>57.470245</td>\n",
              "      <td>68.704880</td>\n",
              "      <td>115.430183</td>\n",
              "      <td>118.432533</td>\n",
              "      <td>172.402786</td>\n",
              "      <td>470.619995</td>\n",
              "      <td>56.645000</td>\n",
              "      <td>173.550400</td>\n",
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              "    <tr>\n",
              "      <th>2021-05-05</th>\n",
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              "      <td>21.570000</td>\n",
              "      <td>200.801559</td>\n",
              "      <td>127.691467</td>\n",
              "      <td>113.131927</td>\n",
              "      <td>117.948425</td>\n",
              "      <td>300.790009</td>\n",
              "      <td>117.606461</td>\n",
              "      <td>287.850464</td>\n",
              "      <td>486.690002</td>\n",
              "      <td>152.636978</td>\n",
              "      <td>65.449234</td>\n",
              "      <td>191.877380</td>\n",
              "      <td>281.079987</td>\n",
              "      <td>83.288193</td>\n",
              "      <td>86.017029</td>\n",
              "      <td>26.305313</td>\n",
              "      <td>54.740219</td>\n",
              "      <td>48.283829</td>\n",
              "      <td>158.121216</td>\n",
              "      <td>146.488922</td>\n",
              "      <td>108.510002</td>\n",
              "      <td>166.498154</td>\n",
              "      <td>569.250000</td>\n",
              "      <td>66.910004</td>\n",
              "      <td>125.956345</td>\n",
              "      <td>135.534866</td>\n",
              "      <td>129.825089</td>\n",
              "      <td>12.045491</td>\n",
              "      <td>77.830002</td>\n",
              "      <td>136.469650</td>\n",
              "      <td>245.711609</td>\n",
              "      <td>259.006805</td>\n",
              "      <td>246.266846</td>\n",
              "      <td>3270.540039</td>\n",
              "      <td>316.739990</td>\n",
              "      <td>355.489990</td>\n",
              "      <td>386.816101</td>\n",
              "      <td>253.868195</td>\n",
              "      <td>70.953186</td>\n",
              "      <td>...</td>\n",
              "      <td>228.565979</td>\n",
              "      <td>87.370880</td>\n",
              "      <td>38.647282</td>\n",
              "      <td>77.937798</td>\n",
              "      <td>188.746170</td>\n",
              "      <td>45.117542</td>\n",
              "      <td>172.095505</td>\n",
              "      <td>218.399994</td>\n",
              "      <td>213.869995</td>\n",
              "      <td>52.473499</td>\n",
              "      <td>13.442343</td>\n",
              "      <td>57.356831</td>\n",
              "      <td>80.921349</td>\n",
              "      <td>308.459991</td>\n",
              "      <td>53.478294</td>\n",
              "      <td>68.580002</td>\n",
              "      <td>95.196800</td>\n",
              "      <td>71.539871</td>\n",
              "      <td>45.641342</td>\n",
              "      <td>243.868958</td>\n",
              "      <td>261.540588</td>\n",
              "      <td>140.542419</td>\n",
              "      <td>24.149986</td>\n",
              "      <td>139.536530</td>\n",
              "      <td>79.559204</td>\n",
              "      <td>57.836063</td>\n",
              "      <td>328.449432</td>\n",
              "      <td>24.476646</td>\n",
              "      <td>37.672665</td>\n",
              "      <td>127.809998</td>\n",
              "      <td>69.804161</td>\n",
              "      <td>122.029999</td>\n",
              "      <td>59.198532</td>\n",
              "      <td>67.349716</td>\n",
              "      <td>116.833870</td>\n",
              "      <td>120.139015</td>\n",
              "      <td>173.020920</td>\n",
              "      <td>482.420013</td>\n",
              "      <td>57.484261</td>\n",
              "      <td>173.640289</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-06</th>\n",
              "      <td>132.061752</td>\n",
              "      <td>21.490000</td>\n",
              "      <td>202.138199</td>\n",
              "      <td>129.326248</td>\n",
              "      <td>113.425072</td>\n",
              "      <td>116.767159</td>\n",
              "      <td>295.720001</td>\n",
              "      <td>117.884315</td>\n",
              "      <td>289.481018</td>\n",
              "      <td>483.609985</td>\n",
              "      <td>154.114471</td>\n",
              "      <td>65.933678</td>\n",
              "      <td>193.522095</td>\n",
              "      <td>284.350006</td>\n",
              "      <td>84.078133</td>\n",
              "      <td>86.656242</td>\n",
              "      <td>25.291660</td>\n",
              "      <td>55.530975</td>\n",
              "      <td>49.568237</td>\n",
              "      <td>160.581314</td>\n",
              "      <td>147.859818</td>\n",
              "      <td>110.180000</td>\n",
              "      <td>152.253952</td>\n",
              "      <td>584.719971</td>\n",
              "      <td>67.040001</td>\n",
              "      <td>131.065750</td>\n",
              "      <td>139.434586</td>\n",
              "      <td>131.259964</td>\n",
              "      <td>12.251480</td>\n",
              "      <td>77.889999</td>\n",
              "      <td>135.432755</td>\n",
              "      <td>247.633148</td>\n",
              "      <td>261.336639</td>\n",
              "      <td>241.729828</td>\n",
              "      <td>3306.370117</td>\n",
              "      <td>327.260010</td>\n",
              "      <td>332.660004</td>\n",
              "      <td>386.418488</td>\n",
              "      <td>256.133820</td>\n",
              "      <td>71.072731</td>\n",
              "      <td>...</td>\n",
              "      <td>230.670044</td>\n",
              "      <td>88.111137</td>\n",
              "      <td>37.708286</td>\n",
              "      <td>78.327194</td>\n",
              "      <td>190.449387</td>\n",
              "      <td>45.722885</td>\n",
              "      <td>174.478119</td>\n",
              "      <td>223.240005</td>\n",
              "      <td>213.160004</td>\n",
              "      <td>53.162510</td>\n",
              "      <td>13.728140</td>\n",
              "      <td>57.943203</td>\n",
              "      <td>81.530525</td>\n",
              "      <td>309.010010</td>\n",
              "      <td>53.468472</td>\n",
              "      <td>69.610001</td>\n",
              "      <td>96.567177</td>\n",
              "      <td>72.386734</td>\n",
              "      <td>46.427921</td>\n",
              "      <td>247.198257</td>\n",
              "      <td>264.849854</td>\n",
              "      <td>140.383667</td>\n",
              "      <td>24.198441</td>\n",
              "      <td>140.532852</td>\n",
              "      <td>80.034248</td>\n",
              "      <td>59.620819</td>\n",
              "      <td>329.269073</td>\n",
              "      <td>24.760689</td>\n",
              "      <td>38.317474</td>\n",
              "      <td>122.779999</td>\n",
              "      <td>70.593468</td>\n",
              "      <td>122.139999</td>\n",
              "      <td>59.761677</td>\n",
              "      <td>67.150429</td>\n",
              "      <td>118.217636</td>\n",
              "      <td>120.337456</td>\n",
              "      <td>172.701889</td>\n",
              "      <td>471.410004</td>\n",
              "      <td>58.432129</td>\n",
              "      <td>167.308304</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 505 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     A        AAL  ...       ZION         ZTS\n",
              "Date                               ...                       \n",
              "2021-04-30         NaN        NaN  ...        NaN         NaN\n",
              "2021-05-03  132.849731  21.950001  ...  55.134338  175.018555\n",
              "2021-05-04  130.565582  21.420000  ...  56.645000  173.550400\n",
              "2021-05-05  133.029282  21.570000  ...  57.484261  173.640289\n",
              "2021-05-06  132.061752  21.490000  ...  58.432129  167.308304\n",
              "\n",
              "[5 rows x 505 columns]"
            ]
          },
          "execution_count": 75,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Now get the data for this tickers from yahoo finance\n",
        "sp_500_yf_df = yf.download(sp_500_tickers.Symbol.to_list(),'2021-5-1','2021-10-12', auto_adjust=True)['Close']\n",
        "\n",
        "sp_500_yf_df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "py3qOvc8Enc_"
      },
      "source": [
        "# Get Key Financial Metrics of multiple Tickers\n",
        "\n",
        "The yf.Ticker method gives general information about the symbol, such as name, sector, EPS, PE, market capitalization, etc."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "zaQNdtajEndA",
        "outputId": "48a51dc2-6f52-41b3-aa86-dcd572aa65b9"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            " 33%|███▎      | 1/3 [00:02<00:05,  2.71s/it]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "amzn\t- financial information downloaded\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\r 67%|██████▋   | 2/3 [00:05<00:02,  2.50s/it]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "gme\t- financial information downloaded\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 3/3 [00:07<00:00,  2.55s/it]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "BTC-USD\t- financial information downloaded\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>amzn</th>\n",
              "      <th>gme</th>\n",
              "      <th>BTC-USD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>shortName</th>\n",
              "      <td>Amazon.com, Inc.</td>\n",
              "      <td>GameStop Corporation</td>\n",
              "      <td>Bitcoin USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sector</th>\n",
              "      <td>Consumer Cyclical</td>\n",
              "      <td>Consumer Cyclical</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>industry</th>\n",
              "      <td>Internet Retail</td>\n",
              "      <td>Specialty Retail</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>quoteType</th>\n",
              "      <td>EQUITY</td>\n",
              "      <td>EQUITY</td>\n",
              "      <td>CRYPTOCURRENCY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>exchange</th>\n",
              "      <td>NMS</td>\n",
              "      <td>NYQ</td>\n",
              "      <td>CCC</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>totalAssets</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>marketCap</th>\n",
              "      <td>1742673543168</td>\n",
              "      <td>13584891904</td>\n",
              "      <td>1158341853184</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>beta</th>\n",
              "      <td>1.15926</td>\n",
              "      <td>-1.78995</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>trailingPE</th>\n",
              "      <td>59.9533</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>volume</th>\n",
              "      <td>962156</td>\n",
              "      <td>423504</td>\n",
              "      <td>41069735936</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>averageVolume</th>\n",
              "      <td>3004152</td>\n",
              "      <td>2862395</td>\n",
              "      <td>35305693937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fiftyTwoWeekLow</th>\n",
              "      <td>2881</td>\n",
              "      <td>10.36</td>\n",
              "      <td>12980.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fiftyTwoWeekHigh</th>\n",
              "      <td>3773.08</td>\n",
              "      <td>483</td>\n",
              "      <td>66930.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dividendRate</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>phone</th>\n",
              "      <td>206-266-1000</td>\n",
              "      <td>817 424 2000</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               amzn                   gme         BTC-USD\n",
              "shortName          Amazon.com, Inc.  GameStop Corporation     Bitcoin USD\n",
              "sector            Consumer Cyclical     Consumer Cyclical                \n",
              "industry            Internet Retail      Specialty Retail                \n",
              "quoteType                    EQUITY                EQUITY  CRYPTOCURRENCY\n",
              "exchange                        NMS                   NYQ             CCC\n",
              "totalAssets                    None                  None            None\n",
              "marketCap             1742673543168           13584891904   1158341853184\n",
              "beta                        1.15926              -1.78995            None\n",
              "trailingPE                  59.9533                                      \n",
              "volume                       962156                423504     41069735936\n",
              "averageVolume               3004152               2862395     35305693937\n",
              "fiftyTwoWeekLow                2881                 10.36         12980.1\n",
              "fiftyTwoWeekHigh            3773.08                   483         66930.4\n",
              "dividendRate                   None                  None            None\n",
              "phone                  206-266-1000          817 424 2000                "
            ]
          },
          "execution_count": 76,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from tqdm import tqdm\n",
        "\n",
        "tickers_list     = [\"amzn\", \"gme\", \"BTC-USD\", ]\n",
        "\n",
        "#  time period and interval\n",
        "yf_period   = \"1mo\"   # 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max\n",
        "yf_interval = \"1d\"    # 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo\n",
        "\n",
        "\n",
        "#  set parameters to download\n",
        "stock_parameters = [\"shortName\", \"sector\", \"industry\", \"quoteType\", \"exchange\", \"totalAssets\", \"marketCap\", \"beta\", \"trailingPE\", \"volume\", \"averageVolume\", \"fiftyTwoWeekLow\", \"fiftyTwoWeekHigh\", \"dividendRate\", \"phone\"]\n",
        "\n",
        "#  create dataframe\n",
        "yf_metrics_df = pd.DataFrame(index = stock_parameters, columns = tickers_list)\n",
        "\n",
        "for current_ticker in tqdm(tickers_list):\n",
        "    current_ticker_param_info = []             # initialize\n",
        "    yf_ticker_df = yf.Ticker(current_ticker)   # get ticker info\n",
        "    for parameter in stock_parameters:\n",
        "        if 'date' in parameter.lower():\n",
        "            d = pd.to_datetime(yf_ticker_df.info[parameter])\n",
        "            if d is not None:\n",
        "                current_ticker_param_info.append(d.strftime(\"%Y-%m-%d\"))  # format date\n",
        "        else:\n",
        "            try:      # some parameters error\n",
        "                current_ticker_param_info.append(yf_ticker_df.info[parameter])\n",
        "            except:   # ignore error and continue\n",
        "                current_ticker_param_info.append(\"\")\n",
        "    yf_metrics_df[current_ticker] = current_ticker_param_info\n",
        "    print('{}\\t- financial information downloaded'.format(current_ticker))\n",
        "\n",
        "\n",
        "yf_metrics_df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "afqrANGnEndA"
      },
      "source": [
        "# Yahoo! Finance Financial Information Parameter List\n",
        "\n",
        "The yf.Ticker method gives general information about the symbol, such as name, sector, EPS, PE, market capitalization, etc.\n",
        "\n",
        "`yf.Ticker(symbol).info` will give a full list of the parameters."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "yWeEX925EndA",
        "outputId": "d083c355-cb3b-4c44-d55a-2783f314d6a1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PARAMETERS</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>52WeekChange</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>SandP52WeekChange</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>address1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>algorithm</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>annualHoldingsTurnover</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>volumeAllCurrencies</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>website</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>yield</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>ytdReturn</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>zip</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>152 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 PARAMETERS\n",
              "0              52WeekChange\n",
              "1         SandP52WeekChange\n",
              "2                  address1\n",
              "3                 algorithm\n",
              "4    annualHoldingsTurnover\n",
              "..                      ...\n",
              "147     volumeAllCurrencies\n",
              "148                 website\n",
              "149                   yield\n",
              "150               ytdReturn\n",
              "151                     zip\n",
              "\n",
              "[152 rows x 1 columns]"
            ]
          },
          "execution_count": 77,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "amzn = yf.Ticker('AMZN').info\n",
        "pram = pd.DataFrame(amzn).transpose()\n",
        "pram = pram.reset_index() \n",
        "pram.rename(columns={'index':'PARAMETERS'}, inplace=True)\n",
        "pram.sort_values(by=['PARAMETERS'],inplace=True)\n",
        "pram.reset_index(drop=True, inplace=True)\n",
        "\n",
        "# pram.head(7)  # remove \".head\" to see the full list\n",
        "pram"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OIFr8ABALeFn"
      },
      "source": [
        "# SARIMAX(Seasonal Auto-Regressive Integrated Moving Average with eXogenous factors)\n",
        "\n",
        "SARIMAX(Seasonal Auto-Regressive Integrated Moving Average with eXogenous factors) is an updated version of the ARIMA model. ARIMA includes an autoregressive integrated moving average, while SARIMAX includes seasonal effects and eXogenous factors with the autoregressive and moving average component in the model. Therefore, we can say SARIMAX is a seasonal equivalent model like SARIMA and Auto ARIMA."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "i_1g6mBCLhrJ",
        "outputId": "b52a2690-c5d2-49a7-af2e-78e4eceea14d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Dividends</th>\n",
              "      <th>Stock Splits</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2011-10-28</th>\n",
              "      <td>5.700</td>\n",
              "      <td>6.000</td>\n",
              "      <td>5.602</td>\n",
              "      <td>5.974</td>\n",
              "      <td>6320000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-10-31</th>\n",
              "      <td>5.900</td>\n",
              "      <td>5.902</td>\n",
              "      <td>5.750</td>\n",
              "      <td>5.874</td>\n",
              "      <td>5670000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-01</th>\n",
              "      <td>5.678</td>\n",
              "      <td>5.784</td>\n",
              "      <td>5.600</td>\n",
              "      <td>5.776</td>\n",
              "      <td>3176000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-02</th>\n",
              "      <td>5.800</td>\n",
              "      <td>5.852</td>\n",
              "      <td>5.650</td>\n",
              "      <td>5.742</td>\n",
              "      <td>4376500</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-03</th>\n",
              "      <td>6.000</td>\n",
              "      <td>6.498</td>\n",
              "      <td>5.906</td>\n",
              "      <td>6.492</td>\n",
              "      <td>12548500</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Open   High    Low  Close    Volume  Dividends  Stock Splits\n",
              "Date                                                                     \n",
              "2011-10-28  5.700  6.000  5.602  5.974   6320000          0           0.0\n",
              "2011-10-31  5.900  5.902  5.750  5.874   5670000          0           0.0\n",
              "2011-11-01  5.678  5.784  5.600  5.776   3176000          0           0.0\n",
              "2011-11-02  5.800  5.852  5.650  5.742   4376500          0           0.0\n",
              "2011-11-03  6.000  6.498  5.906  6.492  12548500          0           0.0"
            ]
          },
          "execution_count": 78,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tsla_stock = yf.Ticker(\"TSLA\")\n",
        "\n",
        "# On June 29, 2010, Tesla made its debut as a public company\n",
        "tsla_historical_prices = tsla_stock.history(period=\"10y\")\n",
        "\n",
        "tsla_historical_prices.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "Pi-c6EMogSpI",
        "outputId": "feebf7e9-d947-4e69-dc10-633c8361187c"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2011-10-28</th>\n",
              "      <td>5.974</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-10-31</th>\n",
              "      <td>5.874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-01</th>\n",
              "      <td>5.776</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-02</th>\n",
              "      <td>5.742</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-11-03</th>\n",
              "      <td>6.492</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Close\n",
              "Date             \n",
              "2011-10-28  5.974\n",
              "2011-10-31  5.874\n",
              "2011-11-01  5.776\n",
              "2011-11-02  5.742\n",
              "2011-11-03  6.492"
            ]
          },
          "execution_count": 79,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tsla_closing_prices_df = tsla_historical_prices[[ 'Close']]\n",
        "\n",
        "tsla_closing_prices_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "JYIgMImQQEkH",
        "outputId": "4b839355-6b3f-463e-dc82-be2f1592e4e5"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "tsla_closing_prices_df.plot(style='k.')\n",
        "\n",
        "plt.title('Scatter plot of Tesla closing price')\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "03-oHjHxawig"
      },
      "source": [
        "# What is a stationary Time Series\n",
        "\n",
        "- Stationarity means that the statistical properties of a time series (or rather the process generating it) do not change over time.\n",
        "- Stationarity is important because many useful analytical tools and statistical tests and models rely on it.\n",
        "\n",
        "\n",
        "It does not mean that the series does not change over time, just that the way it changes does not itself change over time. The algebraic equivalent is thus a linear function, perhaps, and not a constant one; the value of a linear function changes as 𝒙 grows, but the way it changes remains constant — it has a constant slope; one value that captures that rate of change.\n",
        "\n",
        "![Imgur](https://imgur.com/lRvSyF3.png)\n",
        "\n",
        "Prominent seasonality can be observed in series (d), (h) and (i).\n",
        "Noticeable trends and changing levels can be seen in series (a), (c), (e), (f), and (i).\n",
        "Series (i) shows increasing variance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "BxHm5OnZMk1_",
        "outputId": "2dded08a-e826-4322-af2a-2743e2afa160"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Results of dickey fuller test\n",
            "(3.3184143923945197, 1.0, 27, 2489, {'1%': -3.4329799947351503, '5%': -2.862701915447137, '10%': -2.5673885329713495}, 17540.274753722297)\n",
            "Test Statistics                   3.318414\n",
            "p-value                           1.000000\n",
            "No. of lags used                 27.000000\n",
            "Number of observations used    2489.000000\n",
            "critical value (1%)              -3.432980\n",
            "critical value (5%)              -2.862702\n",
            "critical value (10%)             -2.567389\n",
            "dtype: float64\n"
          ]
        }
      ],
      "source": [
        "from statsmodels.tsa.stattools import adfuller\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "import statsmodels.api as sm\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "import math\n",
        "\n",
        "#Test for staionarity\n",
        "def test_stationarity(timeseries):\n",
        "    #Determing rolling statistics\n",
        "    rolling_mean = timeseries.rolling(12).mean()\n",
        "    rolling_std = timeseries.rolling(12).std()\n",
        "    #Plot rolling statistics:\n",
        "    plt.plot(timeseries, color='blue',label='Original')\n",
        "    plt.plot(rolling_mean, color='red', label='Rolling Mean')\n",
        "    plt.plot(rolling_std, color='black', label = 'Rolling Std')\n",
        "    plt.legend(loc='best')\n",
        "    plt.title('Rolling Mean and Standard Deviation')\n",
        "    plt.show(block=False)\n",
        "    \n",
        "    print(\"Results of dickey fuller test\")\n",
        "\n",
        "    timeseries = timeseries.iloc[:,0].values\n",
        "    adfuller_result = adfuller(timeseries,autolag='AIC')\n",
        "    print(adfuller_result)\n",
        "    \"\"\" By setting the autolag='AIC' the adfuller will choose the number of lags that yields the lowest AIC (Akaike information criterion ). \n",
        "    This is usually a good option to follow. \n",
        "    The Akaike information criterion (AIC) is an estimator of prediction error and \n",
        "    thereby relative quality of statistical models for a given set of data.\"\"\"\n",
        "    \n",
        "    # output for dft will give us without defining what the values are.\n",
        "    #hence we manually write what values does it explain using a for loop\n",
        "    output = pd.Series(adfuller_result[0:4],index=['Test Statistics','p-value','No. of lags used','Number of observations used'])\n",
        "    \n",
        "    for key,values in adfuller_result[4].items():\n",
        "        output['critical value (%s)'%key] =  values\n",
        "    print(output)\n",
        "    \n",
        "test_stationarity(tsla_closing_prices_df)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rw0TEoNpa2Bw"
      },
      "source": [
        "From the plots of rolling mean and standard deviation itself you can understand that the standard deviation and mean variation is pretty high.\n",
        "\n",
        "And also some interpretations from dicky fuller test results can be observed as\n",
        "\n",
        "- The Null hypothesis in ADF test is that Data is not stationary\n",
        "- It’s better to have the p-value to be smaller than 0.05 inorder to reject the null hypothesis and consider data as stationary.\n",
        "\n",
        "### The p-value obtained above is greater than significance level of 0.05 and the ADF statistic is higher than any of the critical values.\n",
        "\n",
        "### Clearly, there is no reason to reject the null hypothesis. So, the time series is in fact non-stationary."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wd_y3XIfa4Hh",
        "outputId": "fe2f83fa-75b6-4c78-a77a-6fd24a374c45"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/base/tsa_model.py:219: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
            "  ' ignored when e.g. forecasting.', ValueWarning)\n"
          ]
        }
      ],
      "source": [
        "model=sm.tsa.statespace.SARIMAX(tsla_closing_prices_df['Close'],order=(1, 1, 1),seasonal_order=(1,1,1,12))\n",
        "\n",
        "results=model.fit()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fAUt-bsXddOb",
        "outputId": "a81a691d-876d-408a-fb5b-f4f6a1ccd0a5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2517, 1)"
            ]
          },
          "execution_count": 83,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tsla_closing_prices_df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 579
        },
        "id": "2YtdK65VbCCU",
        "outputId": "59666189-4c9a-46d7-93a0-72084c2dca2f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2cdf6e73d0>"
            ]
          },
          "execution_count": 84,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "tsla_closing_prices_df['forecast']=results.predict(start=2300,end=2514,dynamic=True)\n",
        "tsla_closing_prices_df[['Close','forecast']].plot(figsize=(12,8))"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "y_finance_codes_example_1.ipynb",
      "provenance": []
    },
    "interpreter": {
      "hash": "36cf16204b8548560b1c020c4e8fb5b57f0e4c58016f52f2d4be01e192833930"
    },
    "kernelspec": {
      "display_name": "Python 3.9.7 64-bit",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.7"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}