obb_02-09_modules_portfolio.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 02.09 Modules: Portfolio\n",
    "\n",
    "> https://docs.openbb.co/sdk/guides/intros/portfolio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from openbb_terminal.sdk import openbb\n",
    "import pandas as pd\n",
    "# %matplotlib inline (uncomment if using a Jupyter Notebook or an Interactive Window)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on Breadcrumb in module openbb_terminal.core.library.breadcrumb:\n",
      "\n",
      "<openbb_terminal.core.library.breadcrumb.Breadcrumb object>\n",
      "    PORTFOLIO Menu\n",
      "    \n",
      "    The SDK commands of the the menu:\n",
      "            <openbb>.portfolio.bench\n",
      "            <openbb>.portfolio.summary\n",
      "            <openbb>.portfolio.rbeta\n",
      "            <openbb>.portfolio.rbeta_chart\n",
      "            <openbb>.portfolio.rvol\n",
      "            <openbb>.portfolio.rvol_chart\n",
      "            <openbb>.portfolio.holdv\n",
      "            <openbb>.portfolio.holdv_chart\n",
      "            <openbb>.portfolio.om\n",
      "            <openbb>.portfolio.om_chart\n",
      "            <openbb>.portfolio.holdp\n",
      "            <openbb>.portfolio.holdp_chart\n",
      "            <openbb>.portfolio.maxdd\n",
      "            <openbb>.portfolio.maxdd_chart\n",
      "            <openbb>.portfolio.var\n",
      "            <openbb>.portfolio.rsort\n",
      "            <openbb>.portfolio.rsort_chart\n",
      "            <openbb>.portfolio.mret\n",
      "            <openbb>.portfolio.mret_chart\n",
      "            <openbb>.portfolio.show\n",
      "            <openbb>.portfolio.dret\n",
      "            <openbb>.portfolio.dret_chart\n",
      "            <openbb>.portfolio.distr\n",
      "            <openbb>.portfolio.distr_chart\n",
      "            <openbb>.portfolio.alloc\n",
      "            <openbb>.portfolio.rsharpe\n",
      "            <openbb>.portfolio.rsharpe_chart\n",
      "            <openbb>.portfolio.load\n",
      "            <openbb>.portfolio.po\n",
      "            <openbb>.portfolio.metric\n",
      "            <openbb>.portfolio.yret\n",
      "            <openbb>.portfolio.yret_chart\n",
      "            <openbb>.portfolio.perf\n",
      "            <openbb>.portfolio.es\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(openbb.portfolio)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up portfolio"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Portfolio Files\n",
    "\n",
    "Examples can be found here: [GitHub > OpenBBTerminal > portfolio_examples](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/miscellaneous/portfolio_examples/holdings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-01-18 03:43:28--  https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/main/openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv\n",
      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.111.133, 185.199.108.133, ...\n",
      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 459 [text/plain]\n",
      "Saving to: ‘/home/gitpod/OpenBBUserData/portfolio/holdings/example.csv’\n",
      "\n",
      "example.csv         100%[===================>]     459  --.-KB/s    in 0s      \n",
      "\n",
      "2023-01-18 03:43:28 (35.8 MB/s) - ‘/home/gitpod/OpenBBUserData/portfolio/holdings/example.csv’ saved [459/459]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget --directory-prefix=/home/gitpod/OpenBBUserData/portfolio/holdings/ https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/main/openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".  ..  example.csv\n"
     ]
    }
   ],
   "source": [
    "!ls -a /home/gitpod/OpenBBUserData/portfolio/holdings"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on Operation in module openbb_terminal.core.library.operation:\n",
      "\n",
      "<openbb_terminal.core.library.operation.Operation object>\n",
      "    Get PortfolioEngine object\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    transactions_file_path : str\n",
      "        Path to transactions file\n",
      "    benchmark_symbol : str\n",
      "        Benchmark ticker to download data\n",
      "    full_shares : bool\n",
      "        Whether to mimic the portfolio trades exactly (partial shares) or round down the\n",
      "        quantity to the nearest number\n",
      "    risk_free_rate : float\n",
      "        Risk free rate in float format\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    PortfolioEngine\n",
      "        PortfolioEngine class instance, this will hold transactions and perform calculations\n",
      "    \n",
      "    Examples\n",
      "    --------\n",
      "    >>> from openbb_terminal.sdk import openbb\n",
      "    >>> p = openbb.portfolio.load(\"openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv\")\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(openbb.portfolio.load)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Preprocessing transactions:  93%|█████████▎| 13/14 [00:00<00:00, 16.65it/s] "
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">F:AAPL</pre>\n"
      ],
      "text/plain": [
       "F:AAPL"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">F:MSFT</pre>\n"
      ],
      "text/plain": [
       "F:MSFT"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Preprocessing transactions: 100%|██████████| 14/14 [00:02<00:00,  5.83it/s]\n",
      "        Loading price data: 100%|██████████| 2/2 [00:01<00:00,  1.82it/s]\n",
      "       Calculating returns: 100%|██████████| 1/1 [00:00<00:00, 43.38it/s]\n",
      "         Loading benchmark: 100%|██████████| 4/4 [00:01<00:00,  3.51it/s]\n"
     ]
    }
   ],
   "source": [
    "P = openbb.portfolio.load(\n",
    "  transactions_file_path = '/home/gitpod/OpenBBUserData/portfolio/holdings/example.csv',\n",
    "  benchmark_symbol = 'VTI',\n",
    "  full_shares = False,\n",
    "  risk_free_rate = 3.0\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Portfolio Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "         Loading benchmark: 100%|██████████| 4/4 [00:01<00:00,  2.12it/s]\n"
     ]
    }
   ],
   "source": [
    "P.set_benchmark(symbol = 'SPY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'SPY'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P.benchmark_ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['BTC-USD', 'AAPL', 'MSFT']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Populating a list of tickers from the Portfolio Object is accomplished by assigning a variable to it\n",
    "tickers = P.tickers_list\n",
    "tickers"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Portfolio analysis"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show\n",
    "\n",
    "Display portfolio transcations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\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>Date</th>\n",
       "      <th>Type</th>\n",
       "      <th>Ticker</th>\n",
       "      <th>Side</th>\n",
       "      <th>Price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Fees</th>\n",
       "      <th>Investment</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Country</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-07-02</td>\n",
       "      <td>STOCK</td>\n",
       "      <td>AAPL</td>\n",
       "      <td>Buy</td>\n",
       "      <td>139.8</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>41940.0</td>\n",
       "      <td>USD</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-05-21</td>\n",
       "      <td>CRYPTO</td>\n",
       "      <td>BTC-USD</td>\n",
       "      <td>Buy</td>\n",
       "      <td>37430.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>37430.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>Crypto</td>\n",
       "      <td>Crypto</td>\n",
       "      <td>Crypto</td>\n",
       "      <td>Crypto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>STOCK</td>\n",
       "      <td>MSFT</td>\n",
       "      <td>Buy</td>\n",
       "      <td>232.8</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>46560.0</td>\n",
       "      <td>USD</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-03-24</td>\n",
       "      <td>STOCK</td>\n",
       "      <td>AAPL</td>\n",
       "      <td>Buy</td>\n",
       "      <td>120.7</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>36210.0</td>\n",
       "      <td>USD</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date    Type   Ticker Side    Price  Quantity  Fees  Investment  \\\n",
       "3  2021-07-02   STOCK     AAPL  Buy    139.8       300     0     41940.0   \n",
       "2  2021-05-21  CRYPTO  BTC-USD  Buy  37430.0         1     0     37430.0   \n",
       "1  2021-03-26   STOCK     MSFT  Buy    232.8       200     0     46560.0   \n",
       "0  2021-03-24   STOCK     AAPL  Buy    120.7       300     0     36210.0   \n",
       "\n",
       "  Currency  Sector Industry Country  Region  \n",
       "3      USD                                   \n",
       "2      USD  Crypto   Crypto  Crypto  Crypto  \n",
       "1      USD                                   \n",
       "0      USD                                   "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.portfolio.show(P)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performance\n",
    "\n",
    "Analyse performance against the benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "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>Portfolio</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Investment</th>\n",
       "      <td>162140.0</td>\n",
       "      <td>162140.0</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Value</th>\n",
       "      <td>150937.985107</td>\n",
       "      <td>162334.232576</td>\n",
       "      <td>-11396.247469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total % Return</th>\n",
       "      <td>-6.91%</td>\n",
       "      <td>0.12%</td>\n",
       "      <td>-7.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Abs Return</th>\n",
       "      <td>-11202.014893</td>\n",
       "      <td>194.232576</td>\n",
       "      <td>-11396.247469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Portfolio      Benchmark    Difference\n",
       "Total Investment       162140.0       162140.0             -\n",
       "Total Value       150937.985107  162334.232576 -11396.247469\n",
       "Total % Return           -6.91%          0.12%        -7.03%\n",
       "Total Abs Return  -11202.014893     194.232576 -11396.247469"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.portfolio.perf(P)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary\n",
    "\n",
    "Analyse risk metrics, comparing the portfolio against the benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Portfolio</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Volatility</th>\n",
       "      <td>1.60%</td>\n",
       "      <td>1.03%</td>\n",
       "      <td>0.57%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skew</th>\n",
       "      <td>-0.047042</td>\n",
       "      <td>-0.110327</td>\n",
       "      <td>0.063285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kurtosis</th>\n",
       "      <td>2.7183</td>\n",
       "      <td>3.329762</td>\n",
       "      <td>-0.611462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maximum Drawdown</th>\n",
       "      <td>-39.70%</td>\n",
       "      <td>-24.50%</td>\n",
       "      <td>-15.21%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharpe ratio</th>\n",
       "      <td>0.003472</td>\n",
       "      <td>0.012006</td>\n",
       "      <td>-0.008534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sortino ratio</th>\n",
       "      <td>0.004656</td>\n",
       "      <td>0.014476</td>\n",
       "      <td>-0.00982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2 Score</th>\n",
       "      <td>66.61%</td>\n",
       "      <td>66.61%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Portfolio Benchmark Difference\n",
       "Volatility           1.60%     1.03%      0.57%\n",
       "Skew             -0.047042 -0.110327   0.063285\n",
       "Kurtosis            2.7183  3.329762  -0.611462\n",
       "Maximum Drawdown   -39.70%   -24.50%    -15.21%\n",
       "Sharpe ratio      0.003472  0.012006  -0.008534\n",
       "Sortino ratio     0.004656  0.014476   -0.00982\n",
       "R2 Score            66.61%    66.61%      0.00%"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.portfolio.summary(P)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Maximum drawdown: MaxDD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# initiate dataframes\n",
    "holdings,dd = openbb.portfolio.maxdd(P)\n",
    "\n",
    "# Drawdown as Pandas dataframe\n",
    "dd = pd.DataFrame(dd)\n",
    "dd.rename(columns = {'Total': 'Portfolio % Drawdown'}, inplace = True)\n",
    "\n",
    "# Portfolio as Pandas dataframe\n",
    "holdings = pd.DataFrame(holdings)\n",
    "holdings.rename(columns = {'Total': 'Portfolio Value'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Portfolio % Drawdown</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-24</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-27</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-28</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>-0.337907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>-0.338329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>-0.337052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>-0.332965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>-0.332335</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>666 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio % Drawdown\n",
       "Date                            \n",
       "2021-03-24              0.000000\n",
       "2021-03-25              0.000000\n",
       "2021-03-26              0.000000\n",
       "2021-03-27              0.000000\n",
       "2021-03-28              0.000000\n",
       "...                          ...\n",
       "2023-01-14             -0.337907\n",
       "2023-01-15             -0.338329\n",
       "2023-01-16             -0.337052\n",
       "2023-01-17             -0.332965\n",
       "2023-01-18             -0.332335\n",
       "\n",
       "[666 rows x 1 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show drawdown dataframe\n",
    "dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "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>Portfolio Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-24</th>\n",
       "      <td>35652.843475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>35801.284790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>82559.815979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-27</th>\n",
       "      <td>82559.815979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-28</th>\n",
       "      <td>82559.815979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>149678.294678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>149582.794678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>149871.628662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>150795.522217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>150937.985107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>666 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio Value\n",
       "Date                       \n",
       "2021-03-24     35652.843475\n",
       "2021-03-25     35801.284790\n",
       "2021-03-26     82559.815979\n",
       "2021-03-27     82559.815979\n",
       "2021-03-28     82559.815979\n",
       "...                     ...\n",
       "2023-01-14    149678.294678\n",
       "2023-01-15    149582.794678\n",
       "2023-01-16    149871.628662\n",
       "2023-01-17    150795.522217\n",
       "2023-01-18    150937.985107\n",
       "\n",
       "[666 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show holdings dataframe\n",
    "holdings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "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>Portfolio % Drawdown</th>\n",
       "      <th>Portfolio Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>-0.377575</td>\n",
       "      <td>140710.550049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-10</th>\n",
       "      <td>-0.373400</td>\n",
       "      <td>141654.291626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-11</th>\n",
       "      <td>-0.357792</td>\n",
       "      <td>145182.900635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-12</th>\n",
       "      <td>-0.351446</td>\n",
       "      <td>146617.588989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-13</th>\n",
       "      <td>-0.342625</td>\n",
       "      <td>148611.570068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>-0.337907</td>\n",
       "      <td>149678.294678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>-0.338329</td>\n",
       "      <td>149582.794678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>-0.337052</td>\n",
       "      <td>149871.628662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>-0.332965</td>\n",
       "      <td>150795.522217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>-0.332335</td>\n",
       "      <td>150937.985107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio % Drawdown  Portfolio Value\n",
       "Date                                             \n",
       "2023-01-09             -0.377575    140710.550049\n",
       "2023-01-10             -0.373400    141654.291626\n",
       "2023-01-11             -0.357792    145182.900635\n",
       "2023-01-12             -0.351446    146617.588989\n",
       "2023-01-13             -0.342625    148611.570068\n",
       "2023-01-14             -0.337907    149678.294678\n",
       "2023-01-15             -0.338329    149582.794678\n",
       "2023-01-16             -0.337052    149871.628662\n",
       "2023-01-17             -0.332965    150795.522217\n",
       "2023-01-18             -0.332335    150937.985107"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge drawdown and holdings dataframes\n",
    "df_merged = dd.join(holdings)\n",
    "df_merged.index = df_merged.index.strftime(date_format='%Y-%m-%d')\n",
    "df_merged.tail(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Drawdown chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "openbb.portfolio.maxdd_chart(P)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rolling sharpe ratio: RSharpe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "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>Portfolio Sharpe</th>\n",
       "      <th>Benchmark Sharpe</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>-0.038601</td>\n",
       "      <td>0.012324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>-0.036124</td>\n",
       "      <td>0.012324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>-0.021850</td>\n",
       "      <td>0.026954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>-0.025247</td>\n",
       "      <td>0.009298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>-0.017840</td>\n",
       "      <td>0.022551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio Sharpe  Benchmark Sharpe\n",
       "Date                                          \n",
       "2023-01-14         -0.038601          0.012324\n",
       "2023-01-15         -0.036124          0.012324\n",
       "2023-01-16         -0.021850          0.026954\n",
       "2023-01-17         -0.025247          0.009298\n",
       "2023-01-18         -0.017840          0.022551"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs = openbb.portfolio.rsharpe(P, window = '3m')\n",
    "rs.rename(columns = {'portfolio': 'Portfolio Sharpe', 'benchmark': 'Benchmark Sharpe'}, inplace = True)\n",
    "rs.index = rs.index.strftime(date_format='%Y-%m-%d')\n",
    "\n",
    "rs.tail(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rolling volatility: RVol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\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>Portfolio Volatility</th>\n",
       "      <th>Benchmark Volatility</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>0.014191</td>\n",
       "      <td>0.009350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>0.014188</td>\n",
       "      <td>0.009350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>0.014128</td>\n",
       "      <td>0.009284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>0.014101</td>\n",
       "      <td>0.009227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>0.014086</td>\n",
       "      <td>0.009174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio Volatility  Benchmark Volatility\n",
       "Date                                                  \n",
       "2023-01-14              0.014191              0.009350\n",
       "2023-01-15              0.014188              0.009350\n",
       "2023-01-16              0.014128              0.009284\n",
       "2023-01-17              0.014101              0.009227\n",
       "2023-01-18              0.014086              0.009174"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rv = openbb.portfolio.rvol(P, window = '3m')\n",
    "rv.rename(columns={'portfolio': 'Portfolio Volatility', 'benchmark': 'Benchmark Volatility'}, inplace = True)\n",
    "rv.index = rv.index.strftime(date_format='%Y-%m-%d')\n",
    "\n",
    "rv.tail(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Daily returns: DRet\n",
    "\n",
    "Calculate daily returns for the portfolio and benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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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>Portfolio % Returns</th>\n",
       "      <th>Benchmark % Returns</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-14</th>\n",
       "      <td>0.007178</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-15</th>\n",
       "      <td>-0.000638</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-16</th>\n",
       "      <td>0.001931</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-17</th>\n",
       "      <td>0.006165</td>\n",
       "      <td>-0.001832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-18</th>\n",
       "      <td>0.000945</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Portfolio % Returns  Benchmark % Returns\n",
       "Date                                                \n",
       "2023-01-14             0.007178             0.000000\n",
       "2023-01-15            -0.000638             0.000000\n",
       "2023-01-16             0.001931             0.000000\n",
       "2023-01-17             0.006165            -0.001832\n",
       "2023-01-18             0.000945             0.000000"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns = openbb.portfolio.dret(P)\n",
    "returns.rename(columns = {'portfolio': 'Portfolio % Returns', 'benchmark': 'Benchmark % Returns'}, inplace = True)\n",
    "returns.index = returns.index.rename('Date')\n",
    "\n",
    "returns.tail(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Yearly returns: yret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "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>Portfolio</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>39.304863</td>\n",
       "      <td>23.474199</td>\n",
       "      <td>15.830665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>-34.882593</td>\n",
       "      <td>-18.175363</td>\n",
       "      <td>-16.707229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>5.844079</td>\n",
       "      <td>4.011191</td>\n",
       "      <td>1.832888</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Portfolio  Benchmark  Difference\n",
       "2021  39.304863  23.474199   15.830665\n",
       "2022 -34.882593 -18.175363  -16.707229\n",
       "2023   5.844079   4.011191    1.832888"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.portfolio.yret(P)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Portfolio Optimization\n",
    "\n",
    "https://docs.openbb.co/sdk/guides/intros/portfolio/po"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up portfolio\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Portfolio Files\n",
    "\n",
    "Relevant files can be found here: https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/miscellaneous/portfolio_examples/allocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-01-18 08:40:33--  https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/main/openbb_terminal/miscellaneous/portfolio_examples/allocation/SP_500_Portfolio.xlsx\n",
      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.108.133, ...\n",
      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 44809 (44K) [application/octet-stream]\n",
      "Saving to: ‘/home/gitpod/OpenBBUserData/portfolio/allocation/SP_500_Portfolio.xlsx’\n",
      "\n",
      "SP_500_Portfolio.xl 100%[===================>]  43.76K  --.-KB/s    in 0.004s  \n",
      "\n",
      "2023-01-18 08:40:33 (10.2 MB/s) - ‘/home/gitpod/OpenBBUserData/portfolio/allocation/SP_500_Portfolio.xlsx’ saved [44809/44809]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget --directory-prefix=/home/gitpod/OpenBBUserData/portfolio/allocation/ \"https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/main/openbb_terminal/miscellaneous/portfolio_examples/allocation/SP_500_Portfolio.xlsx\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " .    60_40_Portfolio.xlsx\t       SP_500_Portfolio.xlsx\n",
      " ..  '60_40_Portfolio.xlsx?raw=true'  'SP_500_Portfolio.xlsx?raw=true'\n"
     ]
    }
   ],
   "source": [
    "!ls -a /home/gitpod/OpenBBUserData/portfolio/allocation/"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Risk Parity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\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>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>0.04750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>0.04582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APTV</th>\n",
       "      <td>0.03344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASML</th>\n",
       "      <td>0.03395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BABA</th>\n",
       "      <td>0.04327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>0.04908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HYG</th>\n",
       "      <td>0.13291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NKE</th>\n",
       "      <td>0.04940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP</th>\n",
       "      <td>0.30675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLT</th>\n",
       "      <td>0.21117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSM</th>\n",
       "      <td>0.04673</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         value\n",
       "AAPL   0.04750\n",
       "AMZN   0.04582\n",
       "APTV   0.03344\n",
       "ASML   0.03395\n",
       "BABA   0.04327\n",
       "GOOGL  0.04908\n",
       "HYG    0.13291\n",
       "NKE    0.04940\n",
       "TIP    0.30675\n",
       "TLT    0.21117\n",
       "TSM    0.04673"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Define your own orderbook path here, current value won't work\n",
    "order_book_path = \"/home/gitpod/OpenBBUserData/portfolio/allocation/60_40_Portfolio.xlsx\"\n",
    "\n",
    "# Read in the file\n",
    "order_book = pd.read_excel(order_book_path)\n",
    "\n",
    "# Adjust the columns accordingly\n",
    "order_book_cols = ['Ticker', 'Asset Class', 'Sector', 'Industry', 'Country',\n",
    "       'Current Invested Amount', 'Currency']\n",
    "\n",
    "order_book = order_book[order_book_cols]\n",
    "\n",
    "# Load in the portfolio\n",
    "p = openbb.portfolio.po.load(symbols_file_path=order_book_path)\n",
    "weights, performance = openbb.portfolio.po.equal(portfolio_engine=p)\n",
    "\n",
    "# Perform calculations\n",
    "weights_riskparity, data_returns_riskparity = openbb.portfolio.po.riskparity(p)\n",
    "\n",
    "weights_riskparity"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The risk parity measure can be changed to Conditional Value at Risk (CVaR) and the used historic period is increased to 10 years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>0.04811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>0.04242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APTV</th>\n",
       "      <td>0.03935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASML</th>\n",
       "      <td>0.03760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>0.04865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HYG</th>\n",
       "      <td>0.14500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NKE</th>\n",
       "      <td>0.05243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP</th>\n",
       "      <td>0.33483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLT</th>\n",
       "      <td>0.20242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSM</th>\n",
       "      <td>0.04919</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         value\n",
       "AAPL   0.04811\n",
       "AMZN   0.04242\n",
       "APTV   0.03935\n",
       "ASML   0.03760\n",
       "GOOGL  0.04865\n",
       "HYG    0.14500\n",
       "NKE    0.05243\n",
       "TIP    0.33483\n",
       "TLT    0.20242\n",
       "TSM    0.04919"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Perform calculations\n",
    "weights_riskparity, data_returns_riskparity = openbb.portfolio.po.riskparity(p, interval=\"10y\", risk_measure=\"CVaR\")\n",
    "\n",
    "weights_riskparity"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hierarchical Risk Parity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "9 Failed downloads:\n",
      "- BLL: No data found, symbol may be delisted\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",
      "- FB: No data found, symbol may be delisted\n",
      "- CERN: No data found, symbol may be delisted\n",
      "- ANTM: No data found, symbol may be delisted\n",
      "- NLSN: No data found, symbol may be delisted\n",
      "- CTXS: No data found, symbol may be delisted\n",
      "- NLOK: No data found, symbol may be delisted\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>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAL</th>\n",
       "      <td>0.00100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAP</th>\n",
       "      <td>0.00179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>0.00198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABBV</th>\n",
       "      <td>0.00301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YUM</th>\n",
       "      <td>0.00236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZBH</th>\n",
       "      <td>0.00204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZBRA</th>\n",
       "      <td>0.00159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZION</th>\n",
       "      <td>0.00138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZTS</th>\n",
       "      <td>0.00237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>485 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        value\n",
       "A     0.00211\n",
       "AAL   0.00100\n",
       "AAP   0.00179\n",
       "AAPL  0.00198\n",
       "ABBV  0.00301\n",
       "...       ...\n",
       "YUM   0.00236\n",
       "ZBH   0.00204\n",
       "ZBRA  0.00159\n",
       "ZION  0.00138\n",
       "ZTS   0.00237\n",
       "\n",
       "[485 rows x 1 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Define your own orderbook path here, current value won't work\n",
    "order_book_path = \"/home/gitpod/OpenBBUserData/portfolio/allocation/SP_500_Portfolio.xlsx\"\n",
    "\n",
    "# Read in the file\n",
    "order_book = pd.read_excel(order_book_path)\n",
    "\n",
    "# Adjust the columns accordingly\n",
    "order_book_cols = ['Ticker', 'Asset Class', 'Sector', 'Industry', 'Country',\n",
    "       'Current Invested Amount', 'Currency']\n",
    "\n",
    "order_book = order_book[order_book_cols]\n",
    "\n",
    "# Load in the portfolio\n",
    "p = openbb.portfolio.po.load(symbols_file_path=order_book_path)\n",
    "riskparity, data_returns_riskparity = openbb.portfolio.po.hrp(p, interval=\"5y\",\n",
    "    risk_measure='SLPM',\n",
    "    risk_aversion=0.8)\n",
    "\n",
    "riskparity\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Return': 0.1469204159116806,\n",
       " 'Volatility': 0.21406384358615388,\n",
       " 'Sharpe ratio': 0.5045710387247617,\n",
       " 'second lower partial moment': 0.6438314194225782,\n",
       " 'Sharpe ratio (risk adjusted)': 0.16776195235788588}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_returns_riskparity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "openbb.portfolio.po.plot(p, category='SECTOR', chart_type=\"hist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "openbb.portfolio.po.plot(p, category='SECTOR', chart_type=\"dd\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "obb",
   "language": "python",
   "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": "3.9.6"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "da68105485710cf10a6d49297648d33d812a8aaee3ebc1423327d3127c586267"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}