pandas-ta/examples/AIExample.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Strategy Analysis with **Pandas TA** and AI/ML\n",
    "* This is a **Work in Progress** and subject to change!\n",
    "* Contributions are welcome and accepted!\n",
    "* Examples below are for **educational purposes only**.\n",
    "* **NOTE:** The **watchlist** module is independent of Pandas TA. To easily use it, copy it from your local pandas_ta installation directory into your project directory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Required Packages\n",
    "##### Uncomment the packages you need to install or are missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install numpy\n",
    "#!pip install pandas\n",
    "#!pip install mplfinance\n",
    "#!pip install pandas-datareader\n",
    "#!pip install requests_cache\n",
    "#!pip install tqdm\n",
    "#!pip install alphaVantage-api # Required for Watchlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "Numpy v1.20.2\n",
      "Pandas v1.2.4\n",
      "mplfinance v0.12.7a12\n",
      "\n",
      "Pandas TA v0.2.74b0\n",
      "To install the Latest Version:\n",
      "$ pip install -U git+https://github.com/twopirllc/pandas-ta\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import datetime as dt\n",
    "import random as rnd\n",
    "from sys import float_info as sflt\n",
    "\n",
    "from tqdm import tqdm\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.set_option(\"max_rows\", 100)\n",
    "pd.set_option(\"max_columns\", 20)\n",
    "\n",
    "import mplfinance as mpf\n",
    "import pandas_ta as ta\n",
    "\n",
    "from tqdm.notebook import trange, tqdm\n",
    "\n",
    "from watchlist import colors, Watchlist # Is this failing? If so, copy it locally. See above.\n",
    "\n",
    "print(f\"Numpy v{np.__version__}\")\n",
    "print(f\"Pandas v{pd.__version__}\")\n",
    "print(f\"mplfinance v{mpf.__version__}\")\n",
    "print(f\"\\nPandas TA v{ta.version}\\nTo install the Latest Version:\\n$ pip install -U git+https://github.com/twopirllc/pandas-ta\\n\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MISC Function(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def recent_bars(df, tf: str = \"1y\"):\n",
    "    # All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 4\n",
    "    yearly_divisor = {\"all\": 0, \"10y\": 0.1, \"5y\": 0.2, \"4y\": 0.25, \"3y\": 1./3, \"2y\": 0.5, \"1y\": 1, \"6mo\": 2, \"3mo\": 4}\n",
    "    yd = yearly_divisor[tf] if tf in yearly_divisor.keys() else 0\n",
    "    return int(ta.RATE[\"TRADING_DAYS_PER_YEAR\"] / yd) if yd > 0 else df.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[!] Loading All: SPY, QQQ, AAPL, TSLA, BTC-USD\n",
      "[+] Downloading[yahoo]: SPY[D]\n",
      "[+] Saving: /Users/kj/av_data/SPY_D.csv\n",
      "[i] Runtime: 482.9511 ms (0.4830 s)\n",
      "[+] Downloading[yahoo]: QQQ[D]\n",
      "[+] Saving: /Users/kj/av_data/QQQ_D.csv\n",
      "[i] Runtime: 481.2774 ms (0.4813 s)\n",
      "[+] Downloading[yahoo]: AAPL[D]\n",
      "[+] Saving: /Users/kj/av_data/AAPL_D.csv\n",
      "[i] Runtime: 474.6944 ms (0.4747 s)\n",
      "[+] Downloading[yahoo]: TSLA[D]\n",
      "[+] Saving: /Users/kj/av_data/TSLA_D.csv\n",
      "[i] Runtime: 473.4943 ms (0.4735 s)\n",
      "[+] Downloading[yahoo]: BTC-USD[D]\n",
      "[+] Saving: /Users/kj/av_data/BTC-USD_D.csv\n",
      "[i] Runtime: 462.5248 ms (0.4625 s)\n"
     ]
    }
   ],
   "source": [
    "tf = \"D\"\n",
    "tickers = [\"SPY\", \"QQQ\", \"AAPL\", \"TSLA\", \"BTC-USD\"]\n",
    "watch = Watchlist(tickers, tf=tf, ds_name=\"yahoo\", timed=True)\n",
    "# watch.strategy = ta.CommonStrategy # If you have a Custom Strategy, you can use it here.\n",
    "watch.load(tickers, analyze=True, verbose=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Asset Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SPY (7118, 12)\n",
      "Columns: open, high, low, close, volume, dividends, split, SMA_10, SMA_20, SMA_50, SMA_200, VOL_SMA_20\n"
     ]
    }
   ],
   "source": [
    "ticker = tickers[0] # change tickers by changing the index\n",
    "print(f\"{ticker} {watch.data[ticker].shape}\\nColumns: {', '.join(list(watch.data[ticker].columns))}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trim it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>2020-05-06</th>\n",
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       "      <td>1.143152e+08</td>\n",
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       "      <td>283.139404</td>\n",
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       "      <td>1.103890e+08</td>\n",
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       "      <td>286.495581</td>\n",
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       "      <td>1.047116e+08</td>\n",
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       "      <td>289.152972</td>\n",
       "      <td>289.595851</td>\n",
       "      <td>281.997699</td>\n",
       "      <td>282.145355</td>\n",
       "      <td>95870800</td>\n",
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       "      <td>280.100139</td>\n",
       "      <td>267.220916</td>\n",
       "      <td>292.507798</td>\n",
       "      <td>1.010318e+08</td>\n",
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       "      <th>2021-04-29</th>\n",
       "      <td>420.320007</td>\n",
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       "    <tr>\n",
       "      <th>2021-04-30</th>\n",
       "      <td>417.630005</td>\n",
       "      <td>418.540009</td>\n",
       "      <td>416.339996</td>\n",
       "      <td>417.299988</td>\n",
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       "    <tr>\n",
       "      <th>2021-05-03</th>\n",
       "      <td>419.429993</td>\n",
       "      <td>419.839996</td>\n",
       "      <td>417.670013</td>\n",
       "      <td>418.200012</td>\n",
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       "      <th>2021-05-04</th>\n",
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       "      <th>2021-05-05</th>\n",
       "      <td>417.380005</td>\n",
       "      <td>417.630005</td>\n",
       "      <td>414.945007</td>\n",
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      "text/plain": [
       "                  open        high         low       close     volume  \\\n",
       "date                                                                    \n",
       "2020-05-06  283.493739  283.907093  279.300967  279.763550   73632600   \n",
       "2020-05-07  283.208307  285.206265  282.598097  283.139404   75250400   \n",
       "2020-05-08  286.495581  288.326240  285.284984  287.824280   76452400   \n",
       "2020-05-11  285.757390  289.359625  285.304659  287.883301   79514200   \n",
       "2020-05-12  289.152972  289.595851  281.997699  282.145355   95870800   \n",
       "...                ...         ...         ...         ...        ...   \n",
       "2021-04-29  420.320007  420.720001  416.440002  420.059998   78544300   \n",
       "2021-04-30  417.630005  418.540009  416.339996  417.299988   85448400   \n",
       "2021-05-03  419.429993  419.839996  417.670013  418.200012   68128300   \n",
       "2021-05-04  416.070007  416.600006  411.670013  415.619995  101441600   \n",
       "2021-05-05  417.380005  417.630005  414.945007  416.890015   28129413   \n",
       "\n",
       "                sma_10      sma_20      sma_50     sma_200    vol_sma_20  \n",
       "date                                                                      \n",
       "2020-05-06  281.025305  277.757211  268.165192  292.634901  1.143152e+08  \n",
       "2020-05-07  281.871735  278.428940  267.732156  292.596652  1.103890e+08  \n",
       "2020-05-08  282.803787  279.129703  267.666591  292.574995  1.047116e+08  \n",
       "2020-05-11  283.340182  279.958412  267.626670  292.560612  1.029454e+08  \n",
       "2020-05-12  283.432700  280.100139  267.220916  292.507798  1.010318e+08  \n",
       "...                ...         ...         ...         ...           ...  \n",
       "2021-04-29  416.230997  412.690996  398.270767  362.190824  6.882898e+07  \n",
       "2021-04-30  416.234995  413.525496  398.827877  362.686503  6.811726e+07  \n",
       "2021-05-03  416.533997  414.117497  399.416743  363.191922  6.693943e+07  \n",
       "2021-05-04  416.878995  414.592497  400.013813  363.679845  6.891046e+07  \n",
       "2021-05-05  416.960995  415.107498  400.626913  364.161266  6.752512e+07  \n",
       "\n",
       "[252 rows x 10 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duration = \"1y\"\n",
    "asset = watch.data[ticker]\n",
    "recent = recent_bars(asset, duration)\n",
    "asset.columns = asset.columns.str.lower()\n",
    "asset.drop(columns=[\"dividends\", \"split\"], errors=\"ignore\", inplace=True)\n",
    "asset = asset.copy().tail(recent)\n",
    "asset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Trend Creation\n",
    "A **Trend** is the result of some calculation or condition of one or more indicators. For simplicity, a _Trend_ is either ```True``` or ```1``` and _No Trend_ is ```False``` or ```0```. Using the **Hello World** of Trends, the **Golden/Death Cross**, it's Trend is _Long_ when ```long = ma(close, 50) > ma(close, 200) ``` and _Short_ when ```short = ma(close, 50) < ma(close, 200) ```. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TA Columns Added:\n"
     ]
    },
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>sma_10</th>\n",
       "      <th>sma_20</th>\n",
       "      <th>sma_50</th>\n",
       "      <th>sma_200</th>\n",
       "      <th>vol_sma_20</th>\n",
       "      <th>EMA_8</th>\n",
       "      <th>EMA_21</th>\n",
       "      <th>EMA_50</th>\n",
       "      <th>PCTRET_1</th>\n",
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       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>2021-04-29</th>\n",
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       "      <td>401.000737</td>\n",
       "      <td>0.006373</td>\n",
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       "      <th>2021-05-03</th>\n",
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       "      <td>0.002157</td>\n",
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       "      <td>67525115.65</td>\n",
       "      <td>416.831451</td>\n",
       "      <td>413.079267</td>\n",
       "      <td>403.364184</td>\n",
       "      <td>0.003056</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                sma_10      sma_20      sma_50     sma_200   vol_sma_20  \\\n",
       "date                                                                      \n",
       "2021-04-29  416.230997  412.690996  398.270767  362.190824  68828980.00   \n",
       "2021-04-30  416.234995  413.525496  398.827877  362.686503  68117255.00   \n",
       "2021-05-03  416.533997  414.117497  399.416743  363.191922  66939430.00   \n",
       "2021-05-04  416.878995  414.592497  400.013813  363.679845  68910460.00   \n",
       "2021-05-05  416.960995  415.107498  400.626913  364.161266  67525115.65   \n",
       "\n",
       "                 EMA_8      EMA_21      EMA_50  PCTRET_1  \n",
       "date                                                      \n",
       "2021-04-29  416.731457  411.279275  401.000737  0.006373  \n",
       "2021-04-30  416.857798  411.826612  401.639924 -0.006571  \n",
       "2021-05-03  417.156067  412.406012  402.289339  0.002157  \n",
       "2021-05-04  416.814718  412.698193  402.812110 -0.006169  \n",
       "2021-05-05  416.831451  413.079267  403.364184  0.003056  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example Long Trends\n",
    "# long = ta.sma(asset.close, 50) > ta.sma(asset.close, 200) # SMA(50) > SMA(200) \"Golden/Death Cross\"\n",
    "# long = ta.sma(asset.close, 10) > ta.sma(asset.close, 20) # SMA(10) > SMA(20)\n",
    "long = ta.ema(asset.close, 8) > ta.ema(asset.close, 21) # EMA(8) > EMA(21)\n",
    "# long = ta.increasing(ta.ema(asset.close, 50))\n",
    "# long = ta.macd(asset.close).iloc[:,1] > 0 # MACD Histogram is positive\n",
    "# long = ta.amat(asset.close, 50, 200).AMATe_LR_2  # Long Run of AMAT(50, 200) with lookback of 2 bars\n",
    "\n",
    "# long &= ta.increasing(ta.ema(asset.close, 50), 2) # Uncomment for further long restrictions, in this case when EMA(50) is increasing/sloping upwards\n",
    "# long = 1 - long # uncomment to create a short signal of the trend\n",
    "\n",
    "asset.ta.ema(length=8, sma=False, append=True)\n",
    "asset.ta.ema(length=21, sma=False, append=True)\n",
    "asset.ta.ema(length=50, sma=False, append=True)\n",
    "asset.ta.percent_return(append=True)\n",
    "print(\"TA Columns Added:\")\n",
    "asset[asset.columns[5:]].tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Trend Signals** \n",
    "Given a _Trend_, **Trend Signals** returns the _Trend_, _Trades_, _Entries_ and _Exits_ as boolean integers. When ```asbool=True```, it returns _Trends_, _Entries_ and _Exits_ as boolean values which is helpful when combined with the [**vectorbt**](https://github.com/polakowo/vectorbt) backtesting package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>TS_Trends</th>\n",
       "      <th>TS_Trades</th>\n",
       "      <th>TS_Entries</th>\n",
       "      <th>TS_Exits</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-04-29</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-30</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-03</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-04</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-05</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TS_Trends  TS_Trades  TS_Entries  TS_Exits\n",
       "date                                                  \n",
       "2021-04-29          1          0           0         0\n",
       "2021-04-30          1          0           0         0\n",
       "2021-05-03          1          0           0         0\n",
       "2021-05-04          1          0           0         0\n",
       "2021-05-05          1          0           0         0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trendy = asset.ta.tsignals(long, asbool=False, append=True)\n",
    "trendy.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trend Entries & Exits & Trade Table\n",
    "This is a simple way to reduce the Asset DataFrame to a Trade Table with Dates, Signals, and Entries and Exits. Gives you an idea what to expect before running through a backtester such as [**vectorbt**](https://github.com/polakowo/vectorbt)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current Trade:\n",
      "Price Entry | Last:\t388.3082 | 416.8900\n",
      "Unrealized PnL | %:\t28.5818 | 7.3606%\n",
      "\n",
      "Trades Total | Round Trip:\t7 | 3\n",
      "Trade Coverage: 81.35%\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Signal</th>\n",
       "      <th>Entry</th>\n",
       "      <th>Exit</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-06-04</th>\n",
       "      <td>1</td>\n",
       "      <td>306.445618</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-11</th>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>330.234192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-05</th>\n",
       "      <td>1</td>\n",
       "      <td>337.213409</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-28</th>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>324.211609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-05</th>\n",
       "      <td>1</td>\n",
       "      <td>347.614868</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-03</th>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380.174835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-10</th>\n",
       "      <td>1</td>\n",
       "      <td>388.308197</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Signal       Entry        Exit\n",
       "date                                      \n",
       "2020-06-04       1  306.445618         NaN\n",
       "2020-09-11      -1         NaN  330.234192\n",
       "2020-10-05       1  337.213409         NaN\n",
       "2020-10-28      -1         NaN  324.211609\n",
       "2020-11-05       1  347.614868         NaN\n",
       "2021-03-03      -1         NaN  380.174835\n",
       "2021-03-10       1  388.308197         NaN"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entries = trendy.TS_Entries * asset.close\n",
    "entries = entries[~np.isclose(entries, 0)]\n",
    "entries.dropna(inplace=True)\n",
    "entries.name = \"Entry\"\n",
    "\n",
    "exits = trendy.TS_Exits * asset.close\n",
    "exits = exits[~np.isclose(exits, 0)]\n",
    "exits.dropna(inplace=True)\n",
    "exits.name = \"Exit\"\n",
    "\n",
    "total_trades = trendy.TS_Trades.abs().sum()\n",
    "rt_trades = int(trendy.TS_Trades.abs().sum() // 2)\n",
    "\n",
    "all_trades = trendy.TS_Trades.copy().fillna(0)\n",
    "all_trades = all_trades[all_trades != 0]\n",
    "\n",
    "trades = pd.DataFrame({\n",
    "    \"Signal\": all_trades,\n",
    "    entries.name: entries,\n",
    "    exits.name: exits\n",
    "})\n",
    "\n",
    "# Show some stats if there is an active trade (when there is an odd number of round trip trades)\n",
    "if total_trades % 2 != 0:\n",
    "    unrealized_pnl = asset.close.iloc[-1] - entries.iloc[-1]\n",
    "    unrealized_pnl_pct_change = 100 * ((asset.close.iloc[-1] / entries.iloc[-1]) - 1)\n",
    "    print(\"Current Trade:\")\n",
    "    print(f\"Price Entry | Last:\\t{entries.iloc[-1]:.4f} | {asset.close.iloc[-1]:.4f}\")\n",
    "    print(f\"Unrealized PnL | %:\\t{unrealized_pnl:.4f} | {unrealized_pnl_pct_change:.4f}%\")\n",
    "print(f\"\\nTrades Total | Round Trip:\\t{total_trades} | {rt_trades}\")\n",
    "print(f\"Trade Coverage: {100 * asset.TS_Trends.sum() / asset.shape[0]:.2f}%\")\n",
    "\n",
    "trades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Chart Display Strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "extime = ta.get_time(to_string=True)\n",
    "first_date, last_date = asset.index[0], asset.index[-1]\n",
    "f_date = f\"{first_date.day_name()} {first_date.month}-{first_date.day}-{first_date.year}\"\n",
    "l_date = f\"{last_date.day_name()} {last_date.month}-{last_date.day}-{last_date.year}\"\n",
    "last_ohlcv = f\"Last OHLCV: ({asset.iloc[-1].open:.4f}, {asset.iloc[-1].high:.4f}, {asset.iloc[-1].low:.4f}, {asset.iloc[-1].close:.4f}, {int(asset.iloc[-1].volume)})\"\n",
    "ptitle = f\"\\n{ticker} [{tf} for {duration}({recent} bars)] from {f_date} to {l_date}\\n{last_ohlcv}\\n{extime}\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trade Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'\\nSPY [D for 1y(252 bars)] from Wednesday 5-6-2020 to Wednesday 5-5-2021\\nLast OHLCV: (417.3800, 417.6300, 414.9450, 416.8900, 28129413)\\nWednesday May 5, 2021, NYSE: 5:50:45, Local: 9:50:45 PDT, Day 125/365 (34.00%)'}, xlabel='date'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# chart = asset[\"close\"] #asset[[\"close\", \"SMA_10\", \"SMA_20\", \"SMA_50\", \"SMA_200\"]]\n",
    "# chart = asset[[\"close\", \"SMA_10\", \"SMA_20\"]]\n",
    "chart = asset[[\"close\", \"EMA_8\", \"EMA_21\", \"EMA_50\"]]\n",
    "chart.plot(figsize=(16, 10), color=colors(\"BkGrOrRd\"), title=ptitle, grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Long and Short Trends\n",
    "**Trends** are either a _Trend_ (```1```) or _No Trend_ (```0```) depending on the **Trend** passed into ***Trend Signals**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='date'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x61.2 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "long_trend = trendy.TS_Trends\n",
    "short_trend = 1 - long_trend\n",
    "\n",
    "long_trend.plot(figsize=(16, 0.85), kind=\"area\", stacked=True, color=colors()[0], alpha=0.25) # Green Area\n",
    "short_trend.plot(figsize=(16, 0.85), kind=\"area\", stacked=True, color=colors()[1], alpha=0.25) # Red Area"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trades or Trade Signals\n",
    "The **Trades** are either _Enter_ (```1```) or _Exit_ (```-1```) or _No Position/Action_ (```0```). These are based on the **Trend** passed into **Trend Signals** whether they are _Long_ or _Short_ Trends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='date'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x108 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trendy.TS_Trades.plot(figsize=(16, 1.5), color=colors(\"BkBl\")[0], grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Active Returns\n",
    "**Active Returns** are returns made during the course of the _Trend_. They are simply the product of the returns and the _Trend_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x12cea1910>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "asset[\"ACTRET_1\"] = trendy.TS_Trends * asset.PCTRET_1\n",
    "asset[[\"PCTRET_1\", \"ACTRET_1\"]].plot(figsize=(16, 3), color=colors(\"GyOr\"), alpha=1, grid=True).axhline(0, color=\"black\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Buy and Hold Returns (*PCTRET_1*) vs. Cum. Active Returns (*ACTRET_1*)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x12d14e610>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "asset[[\"PCTRET_1\", \"ACTRET_1\"]].cumsum().plot(figsize=(16, 3), kind=\"area\", stacked=False, color=colors(\"GyOr\"), title=\"B&H vs. Cum. Active Returns\", alpha=.4, grid=True).axhline(0, color=\"black\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Disclaimer\n",
    "* All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.\n",
    "\n",
    "* Any opinions, news, research, analyses, prices, or other information offered is provided as general market commentary, and does not constitute investment advice. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of or reliance on such information."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}