{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Hello World"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import cvxportfolio as cp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download the problem data with `yfinance`. We select five liquid stocks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "import yfinance\n",
    "tickers = [\"AMZN\", \"AAPL\", \"MSFT\", \"GOOGL\", \"TSLA\"]\n",
    "# start_date = \"2012-01-01\"\n",
    "# end_date = \"2016-12-31\"\n",
    "returns = pd.DataFrame(\n",
    "    dict(\n",
    "        [\n",
    "            (\n",
    "                ticker,\n",
    "                yfinance.download(ticker)[ #, start_date=start_date, end_date=end_date)[\n",
    "                    \"Adj Close\"\n",
    "                ].pct_change(),\n",
    "            )\n",
    "            for ticker in tickers\n",
    "        ]\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>TSLA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6516.000000</td>\n",
       "      <td>10668.000000</td>\n",
       "      <td>9342.000000</td>\n",
       "      <td>4690.000000</td>\n",
       "      <td>3215.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.001706</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>0.001136</td>\n",
       "      <td>0.000991</td>\n",
       "      <td>0.002130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.036090</td>\n",
       "      <td>0.028219</td>\n",
       "      <td>0.021318</td>\n",
       "      <td>0.019436</td>\n",
       "      <td>0.036154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.247661</td>\n",
       "      <td>-0.518692</td>\n",
       "      <td>-0.301159</td>\n",
       "      <td>-0.116341</td>\n",
       "      <td>-0.210628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-0.013288</td>\n",
       "      <td>-0.013062</td>\n",
       "      <td>-0.009217</td>\n",
       "      <td>-0.007982</td>\n",
       "      <td>-0.015604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000402</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000352</td>\n",
       "      <td>0.000755</td>\n",
       "      <td>0.001221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.014802</td>\n",
       "      <td>0.014705</td>\n",
       "      <td>0.011358</td>\n",
       "      <td>0.010082</td>\n",
       "      <td>0.019391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.344714</td>\n",
       "      <td>0.332281</td>\n",
       "      <td>0.195652</td>\n",
       "      <td>0.199915</td>\n",
       "      <td>0.243951</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              AMZN          AAPL         MSFT        GOOGL         TSLA\n",
       "count  6516.000000  10668.000000  9342.000000  4690.000000  3215.000000\n",
       "mean      0.001706      0.001100     0.001136     0.000991     0.002130\n",
       "std       0.036090      0.028219     0.021318     0.019436     0.036154\n",
       "min      -0.247661     -0.518692    -0.301159    -0.116341    -0.210628\n",
       "25%      -0.013288     -0.013062    -0.009217    -0.007982    -0.015604\n",
       "50%       0.000402      0.000000     0.000352     0.000755     0.001221\n",
       "75%       0.014802      0.014705     0.011358     0.010082     0.019391\n",
       "max       0.344714      0.332281     0.195652     0.199915     0.243951"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get the return on cash from FRED."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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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>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>USDOLLAR</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-03-31</th>\n",
       "      <td>0.012647</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>0.014962</td>\n",
       "      <td>0.028150</td>\n",
       "      <td>0.062372</td>\n",
       "      <td>0.000193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-03</th>\n",
       "      <td>-0.008520</td>\n",
       "      <td>0.007702</td>\n",
       "      <td>-0.003711</td>\n",
       "      <td>0.006073</td>\n",
       "      <td>-0.061168</td>\n",
       "      <td>0.000193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-04</th>\n",
       "      <td>0.015038</td>\n",
       "      <td>-0.003250</td>\n",
       "      <td>-0.000174</td>\n",
       "      <td>0.003450</td>\n",
       "      <td>-0.011244</td>\n",
       "      <td>0.000193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-05</th>\n",
       "      <td>-0.027417</td>\n",
       "      <td>-0.011290</td>\n",
       "      <td>-0.009889</td>\n",
       "      <td>-0.002387</td>\n",
       "      <td>-0.036660</td>\n",
       "      <td>0.000193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-06</th>\n",
       "      <td>0.009496</td>\n",
       "      <td>0.005496</td>\n",
       "      <td>0.025533</td>\n",
       "      <td>0.037810</td>\n",
       "      <td>-0.002480</td>\n",
       "      <td>0.000193</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                AMZN      AAPL      MSFT     GOOGL      TSLA  USDOLLAR\n",
       "Date                                                                  \n",
       "2023-03-31  0.012647  0.015644  0.014962  0.028150  0.062372  0.000193\n",
       "2023-04-03 -0.008520  0.007702 -0.003711  0.006073 -0.061168  0.000193\n",
       "2023-04-04  0.015038 -0.003250 -0.000174  0.003450 -0.011244  0.000193\n",
       "2023-04-05 -0.027417 -0.011290 -0.009889 -0.002387 -0.036660  0.000193\n",
       "2023-04-06  0.009496  0.005496  0.025533  0.037810 -0.002480  0.000193"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas_datareader\n",
    "\n",
    "returns[[\"USDOLLAR\"]] =  pandas_datareader.get_data_fred(\"DFF\", start='2000-01-01') / (250 * 100)\n",
    "returns = returns.fillna(method=\"ffill\").dropna()\n",
    "\n",
    "returns.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We compute rolling estimates of the first and second moments of the returns using a window of 1000 days. We shift them by one unit (so at every day we present the optimizer with only past data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>USDOLLAR</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-06-20</th>\n",
       "      <td>0.001314</td>\n",
       "      <td>0.001108</td>\n",
       "      <td>0.000786</td>\n",
       "      <td>0.001036</td>\n",
       "      <td>0.002961</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-23</th>\n",
       "      <td>0.001300</td>\n",
       "      <td>0.001116</td>\n",
       "      <td>0.000803</td>\n",
       "      <td>0.001059</td>\n",
       "      <td>0.002971</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-24</th>\n",
       "      <td>0.001293</td>\n",
       "      <td>0.001127</td>\n",
       "      <td>0.000804</td>\n",
       "      <td>0.001085</td>\n",
       "      <td>0.003083</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-25</th>\n",
       "      <td>0.001300</td>\n",
       "      <td>0.001127</td>\n",
       "      <td>0.000794</td>\n",
       "      <td>0.001089</td>\n",
       "      <td>0.003189</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-26</th>\n",
       "      <td>0.001302</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>0.000777</td>\n",
       "      <td>0.001113</td>\n",
       "      <td>0.003368</td>\n",
       "      <td>0.000005</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-31</th>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.001441</td>\n",
       "      <td>0.001107</td>\n",
       "      <td>0.000732</td>\n",
       "      <td>0.003286</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-03</th>\n",
       "      <td>0.000376</td>\n",
       "      <td>0.001465</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>0.000758</td>\n",
       "      <td>0.003376</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-04</th>\n",
       "      <td>0.000368</td>\n",
       "      <td>0.001473</td>\n",
       "      <td>0.001112</td>\n",
       "      <td>0.000753</td>\n",
       "      <td>0.003317</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-05</th>\n",
       "      <td>0.000382</td>\n",
       "      <td>0.001468</td>\n",
       "      <td>0.001111</td>\n",
       "      <td>0.000753</td>\n",
       "      <td>0.003311</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-06</th>\n",
       "      <td>0.000345</td>\n",
       "      <td>0.001456</td>\n",
       "      <td>0.001104</td>\n",
       "      <td>0.000747</td>\n",
       "      <td>0.003248</td>\n",
       "      <td>0.000048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2215 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                AMZN      AAPL      MSFT     GOOGL      TSLA  USDOLLAR\n",
       "Date                                                                  \n",
       "2014-06-20  0.001314  0.001108  0.000786  0.001036  0.002961  0.000005\n",
       "2014-06-23  0.001300  0.001116  0.000803  0.001059  0.002971  0.000005\n",
       "2014-06-24  0.001293  0.001127  0.000804  0.001085  0.003083  0.000005\n",
       "2014-06-25  0.001300  0.001127  0.000794  0.001089  0.003189  0.000005\n",
       "2014-06-26  0.001302  0.001121  0.000777  0.001113  0.003368  0.000005\n",
       "...              ...       ...       ...       ...       ...       ...\n",
       "2023-03-31  0.000361  0.001441  0.001107  0.000732  0.003286  0.000048\n",
       "2023-04-03  0.000376  0.001465  0.001121  0.000758  0.003376  0.000048\n",
       "2023-04-04  0.000368  0.001473  0.001112  0.000753  0.003317  0.000048\n",
       "2023-04-05  0.000382  0.001468  0.001111  0.000753  0.003311  0.000048\n",
       "2023-04-06  0.000345  0.001456  0.001104  0.000747  0.003248  0.000048\n",
       "\n",
       "[2215 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_hat = returns.rolling(window=1000).mean().shift(1).dropna()\n",
    "Sigma_hat = returns.shift(1).rolling(window=1000).cov().dropna()\n",
    "\n",
    "r_hat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>AMZN</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>GOOGL</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>USDOLLAR</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",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2014-06-20</th>\n",
       "      <th>AMZN</th>\n",
       "      <td>4.237160e-04</td>\n",
       "      <td>1.014460e-04</td>\n",
       "      <td>9.996438e-05</td>\n",
       "      <td>1.531471e-04</td>\n",
       "      <td>2.003648e-04</td>\n",
       "      <td>9.720131e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>1.014460e-04</td>\n",
       "      <td>2.841138e-04</td>\n",
       "      <td>7.152259e-05</td>\n",
       "      <td>1.037271e-04</td>\n",
       "      <td>1.220261e-04</td>\n",
       "      <td>-6.378240e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>9.996438e-05</td>\n",
       "      <td>7.152259e-05</td>\n",
       "      <td>1.983344e-04</td>\n",
       "      <td>8.818669e-05</td>\n",
       "      <td>1.074348e-04</td>\n",
       "      <td>-7.018998e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>1.531471e-04</td>\n",
       "      <td>1.037271e-04</td>\n",
       "      <td>8.818669e-05</td>\n",
       "      <td>2.528908e-04</td>\n",
       "      <td>1.364906e-04</td>\n",
       "      <td>2.541239e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSLA</th>\n",
       "      <td>2.003648e-04</td>\n",
       "      <td>1.220261e-04</td>\n",
       "      <td>1.074348e-04</td>\n",
       "      <td>1.364906e-04</td>\n",
       "      <td>1.424632e-03</td>\n",
       "      <td>-6.411383e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2023-04-06</th>\n",
       "      <th>AAPL</th>\n",
       "      <td>3.195570e-04</td>\n",
       "      <td>4.661099e-04</td>\n",
       "      <td>3.415261e-04</td>\n",
       "      <td>3.155696e-04</td>\n",
       "      <td>4.703272e-04</td>\n",
       "      <td>-1.379739e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>3.274856e-04</td>\n",
       "      <td>3.415261e-04</td>\n",
       "      <td>4.113642e-04</td>\n",
       "      <td>3.398829e-04</td>\n",
       "      <td>4.169269e-04</td>\n",
       "      <td>3.710386e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>3.208216e-04</td>\n",
       "      <td>3.155696e-04</td>\n",
       "      <td>3.398829e-04</td>\n",
       "      <td>4.366007e-04</td>\n",
       "      <td>3.822836e-04</td>\n",
       "      <td>-2.227037e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSLA</th>\n",
       "      <td>4.526107e-04</td>\n",
       "      <td>4.703272e-04</td>\n",
       "      <td>4.169269e-04</td>\n",
       "      <td>3.822836e-04</td>\n",
       "      <td>1.854000e-03</td>\n",
       "      <td>-1.129021e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USDOLLAR</th>\n",
       "      <td>-2.052149e-08</td>\n",
       "      <td>-1.379739e-08</td>\n",
       "      <td>3.710386e-09</td>\n",
       "      <td>-2.227037e-08</td>\n",
       "      <td>-1.129021e-07</td>\n",
       "      <td>3.227362e-09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13290 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             AMZN          AAPL          MSFT         GOOGL  \\\n",
       "Date                                                                          \n",
       "2014-06-20 AMZN      4.237160e-04  1.014460e-04  9.996438e-05  1.531471e-04   \n",
       "           AAPL      1.014460e-04  2.841138e-04  7.152259e-05  1.037271e-04   \n",
       "           MSFT      9.996438e-05  7.152259e-05  1.983344e-04  8.818669e-05   \n",
       "           GOOGL     1.531471e-04  1.037271e-04  8.818669e-05  2.528908e-04   \n",
       "           TSLA      2.003648e-04  1.220261e-04  1.074348e-04  1.364906e-04   \n",
       "...                           ...           ...           ...           ...   \n",
       "2023-04-06 AAPL      3.195570e-04  4.661099e-04  3.415261e-04  3.155696e-04   \n",
       "           MSFT      3.274856e-04  3.415261e-04  4.113642e-04  3.398829e-04   \n",
       "           GOOGL     3.208216e-04  3.155696e-04  3.398829e-04  4.366007e-04   \n",
       "           TSLA      4.526107e-04  4.703272e-04  4.169269e-04  3.822836e-04   \n",
       "           USDOLLAR -2.052149e-08 -1.379739e-08  3.710386e-09 -2.227037e-08   \n",
       "\n",
       "                             TSLA      USDOLLAR  \n",
       "Date                                             \n",
       "2014-06-20 AMZN      2.003648e-04  9.720131e-10  \n",
       "           AAPL      1.220261e-04 -6.378240e-10  \n",
       "           MSFT      1.074348e-04 -7.018998e-10  \n",
       "           GOOGL     1.364906e-04  2.541239e-10  \n",
       "           TSLA      1.424632e-03 -6.411383e-10  \n",
       "...                           ...           ...  \n",
       "2023-04-06 AAPL      4.703272e-04 -1.379739e-08  \n",
       "           MSFT      4.169269e-04  3.710386e-09  \n",
       "           GOOGL     3.822836e-04 -2.227037e-08  \n",
       "           TSLA      1.854000e-03 -1.129021e-07  \n",
       "           USDOLLAR -1.129021e-07  3.227362e-09  \n",
       "\n",
       "[13290 rows x 6 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Sigma_hat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the cash return instead we simply use the previous day's return."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_hat['USDOLLAR'] = returns['USDOLLAR'].shift(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we define the transaction cost and holding cost model (sections 2.3 and 2.4 [of the paper](https://web.stanford.edu/~boyd/papers/cvx_portfolio.html)). The data can be expressed \n",
    "as \n",
    "- a scalar (like we're doing here), the same value for all assets and all time periods;\n",
    "- a Pandas Series indexed by the asset names, for asset-specific values; \n",
    "- a Pandas DataFrame indexed by timestamps with asset names as columns, for values that vary by asset and in time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tcost_model = cp.TcostModel(half_spread=10e-4)\n",
    "hcost_model = cp.HcostModel(borrow_costs=1e-4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define the single period optimization policy (section 4 [of the paper](https://web.stanford.edu/~boyd/papers/cvx_portfolio.html)). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk_model = cp.FullCovariance(Sigma_hat)\n",
    "gamma_risk, gamma_trade, gamma_hold = 1.0, 1.0, 1.0\n",
    "leverage_limit = cp.LeverageLimit(3)\n",
    "\n",
    "spo_policy = cp.SinglePeriodOpt(\n",
    "    return_forecast=r_hat,\n",
    "    costs=[\n",
    "        gamma_risk * risk_model,\n",
    "        gamma_trade * tcost_model,\n",
    "        gamma_hold * hcost_model,\n",
    "    ],\n",
    "    constraints=[leverage_limit],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We run a backtest, which returns a result object. By calling its summary method we get some basic statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of periods                               818\n",
      "Initial timestamp               2020-01-02 00:00:00\n",
      "Final timestamp                 2023-03-31 00:00:00\n",
      "Portfolio return (%)                         62.376\n",
      "Excess return (%)                            61.373\n",
      "Excess risk (%)                              64.411\n",
      "Sharpe ratio                                  0.953\n",
      "Max. drawdown                                70.894\n",
      "Turnover (%)                                 32.884\n",
      "Average policy time (sec)                     0.008\n",
      "Average simulator time (sec)                  0.001\n"
     ]
    }
   ],
   "source": [
    "market_sim = cp.MarketSimulator(\n",
    "    returns, [tcost_model, hcost_model], cash_key=\"USDOLLAR\"\n",
    ")\n",
    "init_portfolio = pd.Series(index=returns.columns, data=250000.0)\n",
    "init_portfolio.USDOLLAR = 0\n",
    "results = market_sim.run_multiple_backtest(\n",
    "    init_portfolio,\n",
    "    start_time=\"2020-01-01\",\n",
    "    end_time=\"2023-04-01\",\n",
    "    policies=[spo_policy, \n",
    "             cp.Hold()\n",
    "            ],\n",
    ")\n",
    "results[0].summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The total value of the portfolio in time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of periods                               818\n",
      "Initial timestamp               2020-01-02 00:00:00\n",
      "Final timestamp                 2023-03-31 00:00:00\n",
      "Portfolio return (%)                         41.343\n",
      "Excess return (%)                            40.340\n",
      "Excess risk (%)                              45.013\n",
      "Sharpe ratio                                  0.897\n",
      "Max. drawdown                                59.516\n",
      "Turnover (%)                                  0.000\n",
      "Average policy time (sec)                     0.000\n",
      "Average simulator time (sec)                  0.001\n"
     ]
    }
   ],
   "source": [
    "results[1].summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results[0].v.plot(figsize=(12, 5))\n",
    "results[1].v.plot(figsize=(12, 5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The weights vector of the portfolio in time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results[0].w.plot(figsize=(12, 6))"
   ]
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   },
   "outputs": [],
   "source": []
  }
 ],
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