Core Strategy 1: Volatility Targeting

core-strategy-1-volatility-targeting.ipynb

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      "name": "python3",
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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/mdancho84/52e76ad008df2ef3fd19cbc0fd8348ff/core-strategy-1-volatility-targeting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "S049YxrkapYI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install the required libraries\n",
        "There's only two libraries we need to run sophisticated algorithmic trading strategies. In this case, riskfolio-lib and yfinance."
      ],
      "metadata": {
        "id": "mN7XEAEkdUnT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install riskfolio-lib yfinance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1hxQQzUuZRtM",
        "outputId": "b12eee9d-93e6-46bf-f6d5-9b39836a99d3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: riskfolio-lib in /usr/local/lib/python3.10/dist-packages (5.0.1)\n",
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            "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.31.0)\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Imports and set up\n",
        "Import the libraries, download the data, manipulate the DataFrame, and compute the returns."
      ],
      "metadata": {
        "id": "bQROZZUhddEv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import riskfolio as rp\n",
        "import yfinance as yf"
      ],
      "metadata": {
        "id": "Wnpthdk7ZTcc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sectors = [\n",
        "    \"XLE\",\n",
        "    \"XLF\",\n",
        "    \"XLU\",\n",
        "    \"XLI\",\n",
        "    \"GDX\",\n",
        "    \"XLK\",\n",
        "    \"XLV\",\n",
        "    \"XLY\",\n",
        "    \"XLP\",\n",
        "    \"XLB\",\n",
        "    \"XOP\",\n",
        "    \"IYR\",\n",
        "    \"XHB\",\n",
        "    \"ITB\",\n",
        "    \"VNQ\",\n",
        "    \"GDXJ\",\n",
        "    \"IYE\",\n",
        "    \"OIH\",\n",
        "    \"XME\",\n",
        "    \"XRT\",\n",
        "    \"SMH\",\n",
        "    \"IBB\",\n",
        "    \"KBE\",\n",
        "    \"KRE\",\n",
        "    \"XTL\",\n",
        "]"
      ],
      "metadata": {
        "id": "pTDsnyieZ8ze"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Download historic prices for each of the sector ETFs then\n",
        "# manipulate the data so symbols are in the columns and\n",
        "# adjusted closing prices are in the rows\n",
        "data = (\n",
        "    yf\n",
        "    .download(sectors)\n",
        "    .loc[:,('Adj Close', slice(None))]\n",
        ")\n",
        "data.columns = sectors"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KdabUWarZ_ad",
        "outputId": "16cc1480-d71f-4f5c-c95a-f6a2096b7207"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[*********************100%%**********************]  25 of 25 completed\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute the daily returns for each of the sectors\n",
        "returns = data[sectors].pct_change().dropna()"
      ],
      "metadata": {
        "id": "xhokn_MTaBCf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# The result is a pandas DataFrame with over 10 years\n",
        "# of data for each of the 25 sector ETFs\n",
        "returns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "PRoCQjfAaZH_",
        "outputId": "bab620d6-597d-47bb-c467-41c7855ff033"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 XLE       XLF       XLU       XLI       GDX       XLK  \\\n",
              "Date                                                                     \n",
              "2011-01-28  0.008748  0.020932 -0.028404 -0.025733 -0.004877 -0.015638   \n",
              "2011-01-31 -0.005166 -0.015305  0.007309 -0.005870  0.026219  0.011871   \n",
              "2011-02-01  0.028190  0.044575  0.007469  0.013284  0.018147  0.004659   \n",
              "2011-02-02 -0.007395 -0.005334  0.001483 -0.010197  0.000000  0.000172   \n",
              "2011-02-03  0.027076  0.058425 -0.006662 -0.014716  0.000704  0.002575   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2024-02-12  0.011865  0.013720  0.008693  0.022291  0.011935 -0.000689   \n",
              "2024-02-13 -0.051301 -0.064060 -0.025486 -0.036121 -0.010206 -0.020324   \n",
              "2024-02-14  0.004635  0.012853  0.018896  0.019868 -0.000458  0.009142   \n",
              "2024-02-15  0.029220  0.028236  0.012760  0.006172  0.027510  0.022532   \n",
              "2024-02-16  0.003362  0.000617 -0.005787 -0.018211  0.000223 -0.010677   \n",
              "\n",
              "                 XLV       XLY       XLP       XLB  ...      GDXJ       IYE  \\\n",
              "Date                                                ...                       \n",
              "2011-01-28 -0.015873 -0.016879  0.002599 -0.020780  ... -0.019431 -0.023071   \n",
              "2011-01-31  0.010753 -0.003052  0.023270  0.000291  ...  0.011443  0.006194   \n",
              "2011-02-01  0.024316  0.017604  0.005198  0.025283  ...  0.014073  0.016929   \n",
              "2011-02-02 -0.005564 -0.009026  0.006593  0.002267  ... -0.003265  0.001892   \n",
              "2011-02-03  0.003357  0.003416  0.007053 -0.003393  ...  0.000546  0.001511   \n",
              "...              ...       ...       ...       ...  ...       ...       ...   \n",
              "2024-02-12  0.016701  0.021517  0.014276 -0.003875  ...  0.001454 -0.007602   \n",
              "2024-02-13 -0.035779 -0.042331 -0.016986 -0.018517  ... -0.010246 -0.016969   \n",
              "2024-02-14  0.019137  0.018578  0.004076  0.020070  ...  0.016736  0.010456   \n",
              "2024-02-15  0.026792  0.031866  0.031470 -0.003345  ...  0.007466 -0.002099   \n",
              "2024-02-16 -0.008921 -0.010362 -0.000067 -0.004294  ... -0.005979 -0.009195   \n",
              "\n",
              "                 OIH       XME       XRT       SMH       IBB       KBE  \\\n",
              "Date                                                                     \n",
              "2011-01-28 -0.009569 -0.013404 -0.018018 -0.032594 -0.009813  0.004222   \n",
              "2011-01-31 -0.003451  0.002212  0.002215  0.002156  0.020116  0.037287   \n",
              "2011-02-01  0.007272  0.010088  0.017992  0.011834  0.027693  0.009868   \n",
              "2011-02-02 -0.003782 -0.005306 -0.003411 -0.002924 -0.003104  0.005235   \n",
              "2011-02-03  0.005176  0.004079  0.001245  0.011730  0.003963 -0.002951   \n",
              "...              ...       ...       ...       ...       ...       ...   \n",
              "2024-02-12  0.007113  0.011614  0.001319 -0.000834  0.011034  0.016334   \n",
              "2024-02-13 -0.010729 -0.016566 -0.009293 -0.019917 -0.038726 -0.015553   \n",
              "2024-02-14 -0.001922  0.005504  0.008680  0.010558  0.018861  0.002257   \n",
              "2024-02-15  0.006465  0.016752  0.007287  0.011571  0.026240  0.035505   \n",
              "2024-02-16  0.001503 -0.001142  0.003238 -0.005941 -0.007706  0.001087   \n",
              "\n",
              "                 KRE       XTL  \n",
              "Date                            \n",
              "2011-01-28 -0.023428  0.000000  \n",
              "2011-01-31  0.003458 -0.014995  \n",
              "2011-02-01  0.013569  0.014433  \n",
              "2011-02-02 -0.019762  0.004093  \n",
              "2011-02-03  0.028615  0.000000  \n",
              "...              ...       ...  \n",
              "2024-02-12  0.020083  0.023472  \n",
              "2024-02-13 -0.029126 -0.044985  \n",
              "2024-02-14  0.013472  0.020187  \n",
              "2024-02-15  0.013841  0.009829  \n",
              "2024-02-16 -0.005542 -0.021132  \n",
              "\n",
              "[3285 rows x 25 columns]"
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>XLE</th>\n",
              "      <th>XLF</th>\n",
              "      <th>XLU</th>\n",
              "      <th>XLI</th>\n",
              "      <th>GDX</th>\n",
              "      <th>XLK</th>\n",
              "      <th>XLV</th>\n",
              "      <th>XLY</th>\n",
              "      <th>XLP</th>\n",
              "      <th>XLB</th>\n",
              "      <th>...</th>\n",
              "      <th>GDXJ</th>\n",
              "      <th>IYE</th>\n",
              "      <th>OIH</th>\n",
              "      <th>XME</th>\n",
              "      <th>XRT</th>\n",
              "      <th>SMH</th>\n",
              "      <th>IBB</th>\n",
              "      <th>KBE</th>\n",
              "      <th>KRE</th>\n",
              "      <th>XTL</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",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2011-01-28</th>\n",
              "      <td>0.008748</td>\n",
              "      <td>0.020932</td>\n",
              "      <td>-0.028404</td>\n",
              "      <td>-0.025733</td>\n",
              "      <td>-0.004877</td>\n",
              "      <td>-0.015638</td>\n",
              "      <td>-0.015873</td>\n",
              "      <td>-0.016879</td>\n",
              "      <td>0.002599</td>\n",
              "      <td>-0.020780</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.019431</td>\n",
              "      <td>-0.023071</td>\n",
              "      <td>-0.009569</td>\n",
              "      <td>-0.013404</td>\n",
              "      <td>-0.018018</td>\n",
              "      <td>-0.032594</td>\n",
              "      <td>-0.009813</td>\n",
              "      <td>0.004222</td>\n",
              "      <td>-0.023428</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-01-31</th>\n",
              "      <td>-0.005166</td>\n",
              "      <td>-0.015305</td>\n",
              "      <td>0.007309</td>\n",
              "      <td>-0.005870</td>\n",
              "      <td>0.026219</td>\n",
              "      <td>0.011871</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>-0.003052</td>\n",
              "      <td>0.023270</td>\n",
              "      <td>0.000291</td>\n",
              "      <td>...</td>\n",
              "      <td>0.011443</td>\n",
              "      <td>0.006194</td>\n",
              "      <td>-0.003451</td>\n",
              "      <td>0.002212</td>\n",
              "      <td>0.002215</td>\n",
              "      <td>0.002156</td>\n",
              "      <td>0.020116</td>\n",
              "      <td>0.037287</td>\n",
              "      <td>0.003458</td>\n",
              "      <td>-0.014995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-02-01</th>\n",
              "      <td>0.028190</td>\n",
              "      <td>0.044575</td>\n",
              "      <td>0.007469</td>\n",
              "      <td>0.013284</td>\n",
              "      <td>0.018147</td>\n",
              "      <td>0.004659</td>\n",
              "      <td>0.024316</td>\n",
              "      <td>0.017604</td>\n",
              "      <td>0.005198</td>\n",
              "      <td>0.025283</td>\n",
              "      <td>...</td>\n",
              "      <td>0.014073</td>\n",
              "      <td>0.016929</td>\n",
              "      <td>0.007272</td>\n",
              "      <td>0.010088</td>\n",
              "      <td>0.017992</td>\n",
              "      <td>0.011834</td>\n",
              "      <td>0.027693</td>\n",
              "      <td>0.009868</td>\n",
              "      <td>0.013569</td>\n",
              "      <td>0.014433</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-02-02</th>\n",
              "      <td>-0.007395</td>\n",
              "      <td>-0.005334</td>\n",
              "      <td>0.001483</td>\n",
              "      <td>-0.010197</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000172</td>\n",
              "      <td>-0.005564</td>\n",
              "      <td>-0.009026</td>\n",
              "      <td>0.006593</td>\n",
              "      <td>0.002267</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.003265</td>\n",
              "      <td>0.001892</td>\n",
              "      <td>-0.003782</td>\n",
              "      <td>-0.005306</td>\n",
              "      <td>-0.003411</td>\n",
              "      <td>-0.002924</td>\n",
              "      <td>-0.003104</td>\n",
              "      <td>0.005235</td>\n",
              "      <td>-0.019762</td>\n",
              "      <td>0.004093</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011-02-03</th>\n",
              "      <td>0.027076</td>\n",
              "      <td>0.058425</td>\n",
              "      <td>-0.006662</td>\n",
              "      <td>-0.014716</td>\n",
              "      <td>0.000704</td>\n",
              "      <td>0.002575</td>\n",
              "      <td>0.003357</td>\n",
              "      <td>0.003416</td>\n",
              "      <td>0.007053</td>\n",
              "      <td>-0.003393</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000546</td>\n",
              "      <td>0.001511</td>\n",
              "      <td>0.005176</td>\n",
              "      <td>0.004079</td>\n",
              "      <td>0.001245</td>\n",
              "      <td>0.011730</td>\n",
              "      <td>0.003963</td>\n",
              "      <td>-0.002951</td>\n",
              "      <td>0.028615</td>\n",
              "      <td>0.000000</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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\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>2024-02-12</th>\n",
              "      <td>0.011865</td>\n",
              "      <td>0.013720</td>\n",
              "      <td>0.008693</td>\n",
              "      <td>0.022291</td>\n",
              "      <td>0.011935</td>\n",
              "      <td>-0.000689</td>\n",
              "      <td>0.016701</td>\n",
              "      <td>0.021517</td>\n",
              "      <td>0.014276</td>\n",
              "      <td>-0.003875</td>\n",
              "      <td>...</td>\n",
              "      <td>0.001454</td>\n",
              "      <td>-0.007602</td>\n",
              "      <td>0.007113</td>\n",
              "      <td>0.011614</td>\n",
              "      <td>0.001319</td>\n",
              "      <td>-0.000834</td>\n",
              "      <td>0.011034</td>\n",
              "      <td>0.016334</td>\n",
              "      <td>0.020083</td>\n",
              "      <td>0.023472</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-02-13</th>\n",
              "      <td>-0.051301</td>\n",
              "      <td>-0.064060</td>\n",
              "      <td>-0.025486</td>\n",
              "      <td>-0.036121</td>\n",
              "      <td>-0.010206</td>\n",
              "      <td>-0.020324</td>\n",
              "      <td>-0.035779</td>\n",
              "      <td>-0.042331</td>\n",
              "      <td>-0.016986</td>\n",
              "      <td>-0.018517</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.010246</td>\n",
              "      <td>-0.016969</td>\n",
              "      <td>-0.010729</td>\n",
              "      <td>-0.016566</td>\n",
              "      <td>-0.009293</td>\n",
              "      <td>-0.019917</td>\n",
              "      <td>-0.038726</td>\n",
              "      <td>-0.015553</td>\n",
              "      <td>-0.029126</td>\n",
              "      <td>-0.044985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-02-14</th>\n",
              "      <td>0.004635</td>\n",
              "      <td>0.012853</td>\n",
              "      <td>0.018896</td>\n",
              "      <td>0.019868</td>\n",
              "      <td>-0.000458</td>\n",
              "      <td>0.009142</td>\n",
              "      <td>0.019137</td>\n",
              "      <td>0.018578</td>\n",
              "      <td>0.004076</td>\n",
              "      <td>0.020070</td>\n",
              "      <td>...</td>\n",
              "      <td>0.016736</td>\n",
              "      <td>0.010456</td>\n",
              "      <td>-0.001922</td>\n",
              "      <td>0.005504</td>\n",
              "      <td>0.008680</td>\n",
              "      <td>0.010558</td>\n",
              "      <td>0.018861</td>\n",
              "      <td>0.002257</td>\n",
              "      <td>0.013472</td>\n",
              "      <td>0.020187</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-02-15</th>\n",
              "      <td>0.029220</td>\n",
              "      <td>0.028236</td>\n",
              "      <td>0.012760</td>\n",
              "      <td>0.006172</td>\n",
              "      <td>0.027510</td>\n",
              "      <td>0.022532</td>\n",
              "      <td>0.026792</td>\n",
              "      <td>0.031866</td>\n",
              "      <td>0.031470</td>\n",
              "      <td>-0.003345</td>\n",
              "      <td>...</td>\n",
              "      <td>0.007466</td>\n",
              "      <td>-0.002099</td>\n",
              "      <td>0.006465</td>\n",
              "      <td>0.016752</td>\n",
              "      <td>0.007287</td>\n",
              "      <td>0.011571</td>\n",
              "      <td>0.026240</td>\n",
              "      <td>0.035505</td>\n",
              "      <td>0.013841</td>\n",
              "      <td>0.009829</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2024-02-16</th>\n",
              "      <td>0.003362</td>\n",
              "      <td>0.000617</td>\n",
              "      <td>-0.005787</td>\n",
              "      <td>-0.018211</td>\n",
              "      <td>0.000223</td>\n",
              "      <td>-0.010677</td>\n",
              "      <td>-0.008921</td>\n",
              "      <td>-0.010362</td>\n",
              "      <td>-0.000067</td>\n",
              "      <td>-0.004294</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.005979</td>\n",
              "      <td>-0.009195</td>\n",
              "      <td>0.001503</td>\n",
              "      <td>-0.001142</td>\n",
              "      <td>0.003238</td>\n",
              "      <td>-0.005941</td>\n",
              "      <td>-0.007706</td>\n",
              "      <td>0.001087</td>\n",
              "      <td>-0.005542</td>\n",
              "      <td>-0.021132</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3285 rows × 25 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c92fb9bb-c2f8-47c6-a56e-c8548aa17f55')\"\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
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              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('returns')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('returns');\n",
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              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "returns"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Portfolio Optimization\n",
        "With the historical stock price data in hand, we can now proceed to portfolio optimization. We will use the riskfolio library to optimize the portfolio based on the Sharpe ratio, which measures the return of an investment compared to its risk."
      ],
      "metadata": {
        "id": "sRduG7XXbJHe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set up a Portfolio object which we'll use for optimization\n",
        "port = rp.Portfolio(returns=returns)"
      ],
      "metadata": {
        "id": "BE-GTliwbKrl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the estimation methods for expected returns and covariance\n",
        "method_mu = \"hist\"\n",
        "method_cov = \"hist\""
      ],
      "metadata": {
        "id": "IXibWyvPbTHG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Update the portfolio object to use these methods\n",
        "port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)"
      ],
      "metadata": {
        "id": "yF4wnZeMbY0e"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Run the optimization with a minimum return using the classicial\n",
        "# mean-variance optimization framework\n",
        "w = port.rp_optimization(\n",
        "    model=\"Classic\",\n",
        "    rm=\"MV\",\n",
        "    hist=True,\n",
        "    rf=0.05,\n",
        "    b=None\n",
        ")"
      ],
      "metadata": {
        "id": "R4tpr8DAbdft"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the risk contributions of each ETF which as we can see is\n",
        "# equal.\n",
        "ax = rp.plot_risk_con(\n",
        "    w,\n",
        "    cov=port.cov,\n",
        "    returns=port.returns,\n",
        "    rm=\"MV\",\n",
        "    rf=0.05\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "kK-2AlpSbflA",
        "outputId": "9f00a1fc-24f7-4e63-8d63-479f4b12a147"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the portfolio weights determined by equal risk contribution\n",
        "ax = rp.plot_pie(w=w)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "wt3kRyLubhFr",
        "outputId": "1e0f80ca-189b-49c6-f8ec-29f5cf13c60f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Compute the number of shares to purchase\n",
        "Compute the number of shares to purchase based on the optimized weights. Compute the investment amount based on the portfolio value. Note the Omega Algorithmic Trading app does all this for you..."
      ],
      "metadata": {
        "id": "xx_tlQIhca17"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the current portfolio value\n",
        "port_val = 10_000"
      ],
      "metadata": {
        "id": "2BH6x-Iccblq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Figure out the dollar value of each asset to buy\n",
        "w[\"invest_amt\"] = w * port_val"
      ],
      "metadata": {
        "id": "4ZdW0tIDco5b"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the last traded price of each ETF\n",
        "w[\"last_price\"] = data.iloc[-1]"
      ],
      "metadata": {
        "id": "tsI4WOo7ctW0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute the number of shares to buy based on the last\n",
        "# price and confirm the total is about our portfolio value\n",
        "w[\"shares\"] = (w.invest_amt / w.last_price).astype(int)\n",
        "(w[\"shares\"] * w[\"last_price\"]).sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N-gEXAXLcxDd",
        "outputId": "e02a6e9c-4a3b-4783-ddce-fd89f4a48ca4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8662.020004272461"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Execute the orders on IB\n",
        "Now that we have the correct number of shares to buy, we can execute the trades algorithmically in our trading account! The Omega Algorithmic Trading app completely automates the execution of trades."
      ],
      "metadata": {
        "id": "rV6rJAzodBxv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "w"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 833
        },
        "id": "ySsNYYxpdQJ3",
        "outputId": "4e7f0d8a-96bc-4368-a2b7-9c4b8d2e9cb8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       weights  invest_amt  last_price  shares\n",
              "XLE   0.046400  463.999967   26.860001      17\n",
              "XLF   0.034851  348.506992   32.430000      10\n",
              "XLU   0.043990  439.903525  135.729996       3\n",
              "XLI   0.032685  326.851837  102.430000       3\n",
              "GDX   0.032490  324.896884   44.830002       7\n",
              "XLK   0.045247  452.466804   87.099998       5\n",
              "XLV   0.032609  326.094554   44.439999       7\n",
              "XLY   0.032160  321.600500   48.709999       6\n",
              "XLP   0.025484  254.838435  297.260010       0\n",
              "XLB   0.035646  356.459765  201.750000       1\n",
              "XOP   0.044413  444.128366   84.370003       5\n",
              "IYR   0.033648  336.475084   98.540001       3\n",
              "XHB   0.038262  382.621903   85.169998       4\n",
              "ITB   0.032580  325.803694   85.570000       3\n",
              "VNQ   0.037634  376.335447   39.630001       9\n",
              "GDXJ  0.041073  410.730911  118.029999       3\n",
              "IYE   0.042183  421.828359  202.570007       2\n",
              "OIH   0.071232  712.315462   73.279999       9\n",
              "XME   0.065299  652.994146   61.230000      10\n",
              "XRT   0.056738  567.376970  145.619995       3\n",
              "SMH   0.042925  429.246350  179.020004       2\n",
              "IBB   0.027183  271.825426   56.660000       4\n",
              "KBE   0.025045  250.448287  138.100006       1\n",
              "KRE   0.037658  376.575357   73.570000       5\n",
              "XTL   0.042567  425.674975   76.430000       5"
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              "      <th></th>\n",
              "      <th>weights</th>\n",
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              "      <td>3</td>\n",
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              "      <td>382.621903</td>\n",
              "      <td>85.169998</td>\n",
              "      <td>4</td>\n",
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              "      <th>ITB</th>\n",
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              "      <td>3</td>\n",
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              "      <th>VNQ</th>\n",
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              "      <td>9</td>\n",
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          "metadata": {},
          "execution_count": 37
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    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Nq8ngUZcdRIU"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}