models/1.1 Daily Gaps trading on stock market.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to make local package be able to import in notebook\n",
    "%run initlibs.py QuantTradingResearch dark\n",
    "\n",
    "from tools.charting.plot_helpers import *\n",
    "from tools.analysis.timeseries import *\n",
    "from tools.analysis.tools import retain_columns_and_join, scols, srows\n",
    "from tools.analysis.portfolio import sharpe_ratio\n",
    "from tools.loaders.yahoo_finance import load_yahoo_daily_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Main conception"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's said stock prices tend to follow geometric random walks but this is true only if we test their price series for mean reversion strictly at regular intervals, such as using their daily closing price.\n",
    "\n",
    "We will try to find special conditions where mean reversion occurs with regularity. As the following idea will show, there may indeed be seasonal mean reversion occurring at the intra-day time frame for stocks.\n",
    "\n",
    "The strategy rules are as follows:\n",
    "\n",
    "- Select all stocks near the market open whose returns from their previous day’s lows to today’s opens are lower than one standard deviation. The standard deviation is computed using the daily close-to-close returns of the last 90 days. These are stocks that “gapped down”.\n",
    "\n",
    "- Narrow down this list of stocks by requiring that their open prices be higher than the 20-day moving average of the closing prices.\n",
    "\n",
    "- Liquidate the positions at the market close.\n",
    "\n",
    "- Include short selling part."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use stocks listed on NYSE exchange (data loaded from https://eoddata.com/symbols.aspx) and fetch daily prices from Yahoo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3613\n"
     ]
    }
   ],
   "source": [
    "stocks = pd.read_csv('../data/NYSE.txt', delimiter=\"\\t\")\n",
    "stocks_list = stocks.Symbol.values.tolist()\n",
    "print(len(stocks_list))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now load daily data for these stocks. One thing here we do not take in account survivalship bias - so stocks were delisted ealier won't get in this list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=3613.0), HTML(value='')))"
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     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "> Loaded 2673 symbols\n"
     ]
    }
   ],
   "source": [
    "md = load_yahoo_daily_data(stocks_list, '2000-01-01', '2021-05-25')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's code strategy rules described above into separate method. Here we invest 1 dollar per every stock we trade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gap_trader(md, ma_period, std_period, long_only=False, capital=1):\n",
    "    \"\"\"\n",
    "    Gap trading strategy. Here we allocate equal capital for all stocks traded in same day.\n",
    "    \n",
    "    :param md: market data dict {symbol: ohlc} \n",
    "    :param ma_period: period of moving average\n",
    "    :param std_period: period of moving standard deviation\n",
    "    :param long_only: if True we process only long entries (avoiding short selling)\n",
    "    :return: portfolio as DataFrame\n",
    "    \"\"\"\n",
    "    signals = []\n",
    "    \n",
    "    for stock, data in tqdm(md.items()):\n",
    "        try:\n",
    "            # some stocks don't have enough data so skip them\n",
    "            if len(data) < max(ma_period, std_period):\n",
    "                continue\n",
    "\n",
    "            # indicators \n",
    "            stdev = data.close.rolling(window=std_period).std()\n",
    "            ma = apply_to_frame(sma, data.close, ma_period)\n",
    "\n",
    "            # buy if the gap down from previous day's low and opening price is above MA\n",
    "            buys = pd.Series(1, data[((data.open - data.low.shift(1)) < -stdev) & (data.open > ma)].index)\n",
    "\n",
    "            # sell if the gap up from previous day's high and opening price is below MA\n",
    "            if not long_only:\n",
    "                sells = pd.Series(-1, data[((data.open - data.high.shift(1)) > stdev) & (data.open < ma)].index)\n",
    "            else:\n",
    "                sells = None\n",
    "\n",
    "            # we just combine all trades into\n",
    "            trades = pd.concat((buys, sells), axis=0).sort_index()\n",
    "\n",
    "            # collect all signals\n",
    "            signals.append(trades.rename(stock))\n",
    "        except Exception as e:\n",
    "            print(f' >>> ERROR: [{stock}] {e}')\n",
    "            \n",
    "    # put all signals in same dataframe\n",
    "    signals = pd.concat(signals, axis=1).fillna(0)\n",
    "\n",
    "    # make equal weights \n",
    "    positions = capital * signals.div(abs(signals).sum(axis=1), axis=0)\n",
    "\n",
    "    # we use daily returns here (close - open) / open\n",
    "    daily_returns = retain_columns_and_join(md, 'close') / retain_columns_and_join(md, 'open') - 1\n",
    "\n",
    "    # finally we calculate PnL\n",
    "    pfl = (daily_returns * positions).fillna(0)\n",
    "\n",
    "    # clean up it \n",
    "    pfl[~np.isfinite(pfl)] = 0\n",
    "\n",
    "    # Sharpe ratio\n",
    "    sharpe = sharpe_ratio(pfl.sum(axis=1))\n",
    "\n",
    "    return mstruct(\n",
    "        \n",
    "        # put everything into single dataframe: each column contains PnL series for stock\n",
    "        portfolio = pfl,\n",
    "        \n",
    "        # we also returns signals \n",
    "        signals = signals,\n",
    "        \n",
    "        # sharpe ratio\n",
    "        sharpe = sharpe,\n",
    "        \n",
    "        # description\n",
    "        desc=f'GAP_{ma_period}_{std_period}_{ \"longs\" if long_only else \"long+short\"} | Sharpe: {sharpe:.2f}'\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not know best parameters of this strategy so we can choose some arbitrary values as first approximation. As example we could use 30 day MA period and same period for standard deviation calculation.\n",
    "\n",
    "Also we can test both variations of this strategy - bidirectional (longs and short sales) and long only.\n",
    "\n",
    "<font color='red'>NOTE:</font>\n",
    " > Here we do not take in account transaction costs, slippages, liquidity, hard to borrow list for short sales in sake of keeping idea simple.\n",
    " > All these additional moments could significantly impact on results !"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=2>Long and Short</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58a6c8fddbc440efb1352aea97132f64",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=2673.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "r30_30 = gap_trader(md, 30, 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=2>Long only </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e84749b953b04ddcb299608bb5b67d6a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=2673.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "r30_30_lo = gap_trader(md, 30, 30, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's look at overall portfolios performance and theirs comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [],
   "source": [
    "pnl = r30_30.portfolio.sum(axis=1)\n",
    "pnl_lo = r30_30_lo.portfolio.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1536x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig(16, 9)\n",
    "plt.plot(pnl.cumsum(), label=r30_30.desc);\n",
    "plt.plot(pnl_lo.cumsum(), label=r30_30_lo.desc); \n",
    "plt.title('Cumulative PnL of Gap strategy'); plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Long + short modification outperformed long only model. Sharpe 1.74 vs 1.39 for long only model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's look at best 50 performers (stocks that led to maximal gain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UVE     0.764425\n",
       "AMOV    0.511142\n",
       "BVH     0.451967\n",
       "EGY     0.370065\n",
       "ELC     0.288925\n",
       "SAR     0.222008\n",
       "NOM     0.205207\n",
       "MUX     0.199592\n",
       "AMPY    0.197012\n",
       "SKM     0.171531\n",
       "ENLC    0.161364\n",
       "RGA     0.148869\n",
       "MFV     0.145174\n",
       "GTT     0.135337\n",
       "BB      0.135213\n",
       "FNV     0.134936\n",
       "KTH     0.130465\n",
       "NXJ     0.130214\n",
       "TPC     0.129901\n",
       "ENB     0.127469\n",
       "AMN     0.126187\n",
       "AIW     0.123814\n",
       "EQS     0.123725\n",
       "CVA     0.123263\n",
       "LXU     0.123107\n",
       "CPS     0.122215\n",
       "IAG     0.117978\n",
       "BXMT    0.116837\n",
       "GJS     0.116435\n",
       "TGS     0.115818\n",
       "FICO    0.115505\n",
       "BANC    0.114108\n",
       "NTZ     0.113762\n",
       "KTN     0.111148\n",
       "TARO    0.110870\n",
       "RL      0.109053\n",
       "GME     0.107723\n",
       "PYS     0.102318\n",
       "BGSF    0.099408\n",
       "NLS     0.098391\n",
       "MED     0.096891\n",
       "RMT     0.094889\n",
       "PHT     0.093385\n",
       "ESTE    0.093063\n",
       "AIC     0.092678\n",
       "WMB     0.091748\n",
       "DOOR    0.089747\n",
       "ICL     0.087562\n",
       "KGC     0.087419\n",
       "WLK     0.087395\n",
       "dtype: float64"
      ]
     },
     "execution_count": 393,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_performers = r30_30.portfolio.sum().sort_values(ascending=False)\n",
    "top_performers[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1536x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig(16, 5)\n",
    "plt.plot(r30_30.portfolio[top_performers.index[:50]].cumsum());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can note that trades happen not too often. Let's count number of signals for every month:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [],
   "source": [
    "ntrades = abs(r30_30.signals.fillna(0)).sum(axis=1).groupby(pd.Grouper(freq='1m')).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1536x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig(16, 4)\n",
    "plt.bar(ntrades.index, ntrades, width=25, color='g');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In average we'd observe 20-25 trades per month."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='green'>Conclusion</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In general model shows good performance and has some potential. But it's needed to say it again that we didn't take in account any transactions costs. It's also may be a problem to open position at the day bar opening price (Yahoo bars are built upon trades not quotes and real bid/ask spread may be really high on session opening time so we could not get execution at same prices as we see from Yahoo).\n",
    "\n",
    "Another big concern is that sometimes we won't be able to open short position because stock in Hard to Borrow list.\n",
    "\n"
   ]
  }
 ],
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