diff --git a/backtester/demos/backtester_demo.ipynb b/backtester/demos/backtester_demo.ipynb
index 98d138f..f162946 100644
--- a/backtester/demos/backtester_demo.ipynb
+++ b/backtester/demos/backtester_demo.ipynb
@@ -2,21 +2,35 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "\n",
+    "sys.path.append('../..') # Add backtester base dir to $PYTHONPATH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "%config InlineBackend.figure_format=\"retina\"\n",
     "%matplotlib inline\n",
     "\n",
+    "import pandas as pd\n",
+    "import os\n",
     "import matplotlib.pyplot as plt\n",
+    "\n",
     "plt.style.use(\"seaborn\")\n",
     "plt.rcParams[\"figure.figsize\"] = (14, 8)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,116 +42,65 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = HistoricalOptionsData(\"data/options_data_v2.h5\",\n",
-    "                             key=\"/SPX\")\n",
+    "# Cleaned up data\n",
+    "data = HistoricalOptionsData(\"allspx/options_data_v2_pruned_compressed.h5\", key=\"/SPX\")\n",
     "schema = data.schema"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Schema([Field(name='underlying', mapping='underlying'), Field(name='underlying_last', mapping='underlying_last'), Field(name='date', mapping='quotedate'), Field(name='contract', mapping='optionroot'), Field(name='type', mapping='type'), Field(name='expiration', mapping='expiration'), Field(name='strike', mapping='strike'), Field(name='bid', mapping='bid'), Field(name='ask', mapping='ask'), Field(name='volume', mapping='volume'), Field(name='open_interest', mapping='openinterest'), Field(name='last', mapping='last'), Field(name='impliedvol', mapping='impliedvol'), Field(name='delta', mapping='delta'), Field(name='gamma', mapping='gamma'), Field(name='theta', mapping='theta'), Field(name='vega', mapping='vega'), Field(name='dte', mapping='dte')])"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "schema"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Strategy(legs=[])"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "strat = Strategy(schema)\n",
-    "strat"
+    "data._data = data._data[(data._data['quotedate'] >= '2006-12-06') & (data._data['quotedate'] <= '2015-08-21')]"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We'll implement a simple [short straddle](https://www.optionseducation.org/strategies/all-strategies/short-straddle), selling calls and puts 10% otm between 30 and 20 days prior to expiration, and covering the position 2 days before expiration."
+    "We run the backtest on the date range above to compare with [this backtest.](http://dtr-trading.blogspot.com/p/spx-straddle-articles.html) We do the comparison with a [short (ATM) straddle](https://www.investopedia.com/terms/s/shortstraddle.asp) 45 DTE. Essentially the strategy consists of selling both a call and a put with (approximately) the same strike and expiration date, profiting if the underlying asset's price does not move very much. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Strategy(legs=[StrategyLeg(type=Type.CALL, direction=Direction.SELL, entry_filter=Filter(query='(type == 'call') & ((((underlying == 'SPX') & (strike >= 1.1 * underlying_last)) & (dte >= 20)) & (dte <= 30))'), exit_filter=Filter(query='(type == 'call') & ((underlying == 'SPX') & (dte <= 2))')), StrategyLeg(type=Type.PUT, direction=Direction.SELL, entry_filter=Filter(query='(type == 'put') & ((((underlying == 'SPX') & (strike <= underlying_last * 0.9)) & (dte >= 20)) & (dte <= 30))'), exit_filter=Filter(query='(type == 'put') & ((underlying == 'SPX') & (dte <= 2))'))])"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "leg1 = StrategyLeg(schema, option_type=Type.CALL, direction=Direction.SELL)\n",
-    "leg1.entry_filter = (schema.underlying == \"SPX\") & (\n",
-    "    schema.strike >= 1.1 * schema.underlying_last) & (schema.dte >=\n",
-    "                                                      20) & (schema.dte <= 30)\n",
-    "leg1.exit_filter = (schema.underlying == \"SPX\") & (schema.dte <= 2)\n",
+    "# Short ATM straddle\n",
+    "short_straddle = Strategy(schema)\n",
     "\n",
-    "leg2 = StrategyLeg(schema, option_type=Type.PUT, direction=Direction.SELL)\n",
-    "leg2.entry_filter = (schema.underlying == \"SPX\") & (\n",
-    "    schema.strike <= schema.underlying_last * 0.9) & (schema.dte >=\n",
-    "                                                      20) & (schema.dte <= 30)\n",
-    "leg2.exit_filter = (schema.underlying == \"SPX\") & (schema.dte <= 2)\n",
-    "strat.add_leg(leg1)\n",
-    "strat.add_leg(leg2)"
+    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
+    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg1.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
+    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg2.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "short_straddle.add_legs([leg1, leg2])\n",
+    "# Exit thresholds: we exit if the loss or profit on the investment on an entry is greater than 25%.\n",
+    "short_straddle.exit_thresholds = (0.25, 0.25)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Backtest(capital=Strategy(legs=[StrategyLeg(type=Type.CALL, direction=Direction.SELL, entry_filter=Filter(query='(type == 'call') & ((((underlying == 'SPX') & (strike >= 1.1 * underlying_last)) & (dte >= 20)) & (dte <= 30))'), exit_filter=Filter(query='(type == 'call') & ((underlying == 'SPX') & (dte <= 2))')), StrategyLeg(type=Type.PUT, direction=Direction.SELL, entry_filter=Filter(query='(type == 'put') & ((((underlying == 'SPX') & (strike <= underlying_last * 0.9)) & (dte >= 20)) & (dte <= 30))'), exit_filter=Filter(query='(type == 'put') & ((underlying == 'SPX') & (dte <= 2))'))]), strategy=1000000)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "bt = Backtest()\n",
-    "bt.strategy = strat\n",
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = short_straddle\n",
     "bt.data = data\n",
-    "bt"
+    "bt.stop_if_broke = False"
    ]
   },
   {
@@ -149,8 +112,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/jamoroso/work/backtester_options/backtester/strategy/strategy.py:59: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
-      "  entry_df.legs = exit_df.legs = exit_df.columns.levels[0]\n"
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:02:52\n"
      ]
     },
     {
@@ -166,292 +129,139 @@
        "        vertical-align: top;\n",
        "    }\n",
        "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
        "    }\n",
        "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th></th>\n",
-       "      <th>date</th>\n",
        "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
        "      <th>order</th>\n",
-       "      <th>qty</th>\n",
-       "      <th>profit</th>\n",
-       "      <th>capital</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1990-01-19</td>\n",
-       "      <td>SPX900217C00375000</td>\n",
+       "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1435.0</td>\n",
+       "      <td>-1110.0</td>\n",
+       "      <td>2006-12-06</td>\n",
        "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000010.0</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-1570.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1990-01-19</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
+       "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1440.0</td>\n",
+       "      <td>-840.0</td>\n",
+       "      <td>2006-12-07</td>\n",
        "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000020.0</td>\n",
+       "      <td>SXY070120P01340000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1340.0</td>\n",
+       "      <td>-480.0</td>\n",
+       "      <td>2006-12-07</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-1320.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1990-01-22</td>\n",
-       "      <td>SPX900217C00365000</td>\n",
+       "      <td>SXZ070120C01450000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1450.0</td>\n",
+       "      <td>-520.0</td>\n",
+       "      <td>2006-12-08</td>\n",
        "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000030.0</td>\n",
+       "      <td>SXY070120P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2006-12-08</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-980.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1990-01-22</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>-410.0</td>\n",
+       "      <td>2006-12-11</td>\n",
        "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000040.0</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>-580.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-990.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1990-01-23</td>\n",
-       "      <td>SPX900217C00365000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000050.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1990-01-23</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000060.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1990-01-24</td>\n",
-       "      <td>SPX900217C00365000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000070.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>1990-01-24</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000080.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1990-01-25</td>\n",
-       "      <td>SPX900217C00360000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000090.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1990-01-25</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>1990-01-26</td>\n",
-       "      <td>SPX900217C00360000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000110.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>1990-01-26</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>1990-02-15</td>\n",
-       "      <td>SPX900217P00225000</td>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>400.0</td>\n",
+       "      <td>2006-12-18</td>\n",
        "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>1990-02-15</td>\n",
-       "      <td>SPX900217C00365000</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>340.0</td>\n",
+       "      <td>2006-12-18</td>\n",
        "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>1990-02-15</td>\n",
-       "      <td>SPX900217C00375000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>1990-02-15</td>\n",
-       "      <td>SPX900217C00360000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>1990-02-20</td>\n",
-       "      <td>SPX900317C00365000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000130.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>1990-02-20</td>\n",
-       "      <td>SPX900317P00275000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>1000180.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>1990-03-15</td>\n",
-       "      <td>SPX900317P00275000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000180.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>1990-03-15</td>\n",
-       "      <td>SPX900317C00365000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1000180.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1990-08-23</td>\n",
-       "      <td>SPX900922C00340000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>1000260.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1990-08-23</td>\n",
-       "      <td>SPX900922P00275000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>320.0</td>\n",
-       "      <td>1000580.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1990-08-24</td>\n",
-       "      <td>SPX900922C00345000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>1000600.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1990-08-24</td>\n",
-       "      <td>SPX900922P00275000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>220.0</td>\n",
-       "      <td>1000820.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1990-08-27</td>\n",
-       "      <td>SPX900922C00355000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>1000840.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>1990-08-27</td>\n",
-       "      <td>SPX900922P00275000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>110.0</td>\n",
-       "      <td>1000950.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1990-08-28</td>\n",
-       "      <td>SPX900922C00355000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1000960.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>1990-08-28</td>\n",
-       "      <td>SPX900922P00275000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>1001050.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>1990-08-29</td>\n",
-       "      <td>SPX900922C00360000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1001060.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>1990-08-29</td>\n",
-       "      <td>SPX900922P00290000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>140.0</td>\n",
-       "      <td>1001200.0</td>\n",
+       "      <td>740.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -461,347 +271,167 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4496</th>\n",
-       "      <td>2018-11-28</td>\n",
-       "      <td>SPX181221C03020000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>1391925.0</td>\n",
+       "      <th>1329</th>\n",
+       "      <td>SPX150821C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>10390.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>10410.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4497</th>\n",
-       "      <td>2018-11-28</td>\n",
-       "      <td>SPX181221P02465000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>1392215.0</td>\n",
+       "      <th>1330</th>\n",
+       "      <td>SPX150821C01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>11390.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>11410.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4498</th>\n",
-       "      <td>2018-11-29</td>\n",
-       "      <td>SPX181221C03015000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>1392255.0</td>\n",
+       "      <th>1331</th>\n",
+       "      <td>SPX150821C01980000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1980.0</td>\n",
+       "      <td>9890.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P01980000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1980.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>9910.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4499</th>\n",
-       "      <td>2018-11-29</td>\n",
-       "      <td>SPX181221P02460000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>320.0</td>\n",
-       "      <td>1392575.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4500</th>\n",
-       "      <td>2018-11-30</td>\n",
-       "      <td>SPX181221C03040000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
+       "      <th>1332</th>\n",
+       "      <td>SPX150821C01985000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1985.0</td>\n",
+       "      <td>9390.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P01985000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1985.0</td>\n",
        "      <td>25.0</td>\n",
-       "      <td>1392600.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4501</th>\n",
-       "      <td>2018-11-30</td>\n",
-       "      <td>SPX181221P02480000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>285.0</td>\n",
-       "      <td>1392885.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4502</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02405000</td>\n",
+       "      <td>2015-08-19</td>\n",
        "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-95.0</td>\n",
-       "      <td>1392790.0</td>\n",
+       "      <td>9415.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4503</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C03020000</td>\n",
+       "      <th>1333</th>\n",
+       "      <td>SPX150918C02005000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>5680.0</td>\n",
+       "      <td>2015-08-20</td>\n",
        "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1392790.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4504</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02465000</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>3460.0</td>\n",
+       "      <td>2015-08-20</td>\n",
        "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-750.0</td>\n",
-       "      <td>1392040.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4505</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C03040000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1392040.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4506</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C02955000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1392040.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4507</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C02900000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1392040.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4508</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02460000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-590.0</td>\n",
-       "      <td>1391450.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4509</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02365000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-45.0</td>\n",
-       "      <td>1391405.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4510</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02410000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-105.0</td>\n",
-       "      <td>1391300.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4511</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221P02480000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1340.0</td>\n",
-       "      <td>1389960.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4512</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C03015000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1389960.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4513</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX181221C02945000</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>1389960.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4514</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX190118C02715000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>1390250.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4515</th>\n",
-       "      <td>2018-12-20</td>\n",
-       "      <td>SPX190118P02220000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1230.0</td>\n",
-       "      <td>1391480.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4516</th>\n",
-       "      <td>2018-12-21</td>\n",
-       "      <td>SPX190118C02660000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>275.0</td>\n",
-       "      <td>1391755.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4517</th>\n",
-       "      <td>2018-12-21</td>\n",
-       "      <td>SPX190118P02170000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1510.0</td>\n",
-       "      <td>1393265.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4518</th>\n",
-       "      <td>2018-12-24</td>\n",
-       "      <td>SPX190118C02590000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>440.0</td>\n",
-       "      <td>1393705.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4519</th>\n",
-       "      <td>2018-12-24</td>\n",
-       "      <td>SPX190118P02115000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1860.0</td>\n",
-       "      <td>1395565.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4520</th>\n",
-       "      <td>2018-12-26</td>\n",
-       "      <td>SPX190118C02715000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>235.0</td>\n",
-       "      <td>1395800.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4521</th>\n",
-       "      <td>2018-12-26</td>\n",
-       "      <td>SPX190118P02220000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1180.0</td>\n",
-       "      <td>1396980.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4522</th>\n",
-       "      <td>2018-12-27</td>\n",
-       "      <td>SPX190118C02740000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>1397180.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4523</th>\n",
-       "      <td>2018-12-27</td>\n",
-       "      <td>SPX190118P02235000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1160.0</td>\n",
-       "      <td>1398340.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4524</th>\n",
-       "      <td>2018-12-28</td>\n",
-       "      <td>SPX190118C02735000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>120.0</td>\n",
-       "      <td>1398460.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4525</th>\n",
-       "      <td>2018-12-28</td>\n",
-       "      <td>SPX190118P02235000</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>1</td>\n",
-       "      <td>990.0</td>\n",
-       "      <td>1399450.0</td>\n",
+       "      <td>9140.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>4526 rows × 6 columns</p>\n",
+       "<p>1334 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "           date            contract order qty  profit    capital\n",
-       "0    1990-01-19  SPX900217C00375000   STO   1    10.0  1000010.0\n",
-       "1    1990-01-19  SPX900217P00225000   STO   1    10.0  1000020.0\n",
-       "2    1990-01-22  SPX900217C00365000   STO   1    10.0  1000030.0\n",
-       "3    1990-01-22  SPX900217P00225000   STO   1    10.0  1000040.0\n",
-       "4    1990-01-23  SPX900217C00365000   STO   1    10.0  1000050.0\n",
-       "5    1990-01-23  SPX900217P00225000   STO   1    10.0  1000060.0\n",
-       "6    1990-01-24  SPX900217C00365000   STO   1    10.0  1000070.0\n",
-       "7    1990-01-24  SPX900217P00225000   STO   1    10.0  1000080.0\n",
-       "8    1990-01-25  SPX900217C00360000   STO   1    10.0  1000090.0\n",
-       "9    1990-01-25  SPX900217P00225000   STO   1    10.0  1000100.0\n",
-       "10   1990-01-26  SPX900217C00360000   STO   1    10.0  1000110.0\n",
-       "11   1990-01-26  SPX900217P00225000   STO   1    10.0  1000120.0\n",
-       "12   1990-02-15  SPX900217P00225000   BTC   1    -0.0  1000120.0\n",
-       "13   1990-02-15  SPX900217C00365000   BTC   1    -0.0  1000120.0\n",
-       "14   1990-02-15  SPX900217C00375000   BTC   1    -0.0  1000120.0\n",
-       "15   1990-02-15  SPX900217C00360000   BTC   1    -0.0  1000120.0\n",
-       "16   1990-02-20  SPX900317C00365000   STO   1    10.0  1000130.0\n",
-       "17   1990-02-20  SPX900317P00275000   STO   1    50.0  1000180.0\n",
-       "18   1990-03-15  SPX900317P00275000   BTC   1    -0.0  1000180.0\n",
-       "19   1990-03-15  SPX900317C00365000   BTC   1    -0.0  1000180.0\n",
-       "20   1990-08-23  SPX900922C00340000   STO   1    80.0  1000260.0\n",
-       "21   1990-08-23  SPX900922P00275000   STO   1   320.0  1000580.0\n",
-       "22   1990-08-24  SPX900922C00345000   STO   1    20.0  1000600.0\n",
-       "23   1990-08-24  SPX900922P00275000   STO   1   220.0  1000820.0\n",
-       "24   1990-08-27  SPX900922C00355000   STO   1    20.0  1000840.0\n",
-       "25   1990-08-27  SPX900922P00275000   STO   1   110.0  1000950.0\n",
-       "26   1990-08-28  SPX900922C00355000   STO   1    10.0  1000960.0\n",
-       "27   1990-08-28  SPX900922P00275000   STO   1    90.0  1001050.0\n",
-       "28   1990-08-29  SPX900922C00360000   STO   1    10.0  1001060.0\n",
-       "29   1990-08-29  SPX900922P00290000   STO   1   140.0  1001200.0\n",
-       "...         ...                 ...   ...  ..     ...        ...\n",
-       "4496 2018-11-28  SPX181221C03020000   STO   1    45.0  1391925.0\n",
-       "4497 2018-11-28  SPX181221P02465000   STO   1   290.0  1392215.0\n",
-       "4498 2018-11-29  SPX181221C03015000   STO   1    40.0  1392255.0\n",
-       "4499 2018-11-29  SPX181221P02460000   STO   1   320.0  1392575.0\n",
-       "4500 2018-11-30  SPX181221C03040000   STO   1    25.0  1392600.0\n",
-       "4501 2018-11-30  SPX181221P02480000   STO   1   285.0  1392885.0\n",
-       "4502 2018-12-20  SPX181221P02405000   BTC   1   -95.0  1392790.0\n",
-       "4503 2018-12-20  SPX181221C03020000   BTC   1    -0.0  1392790.0\n",
-       "4504 2018-12-20  SPX181221P02465000   BTC   1  -750.0  1392040.0\n",
-       "4505 2018-12-20  SPX181221C03040000   BTC   1    -0.0  1392040.0\n",
-       "4506 2018-12-20  SPX181221C02955000   BTC   1    -0.0  1392040.0\n",
-       "4507 2018-12-20  SPX181221C02900000   BTC   1    -0.0  1392040.0\n",
-       "4508 2018-12-20  SPX181221P02460000   BTC   1  -590.0  1391450.0\n",
-       "4509 2018-12-20  SPX181221P02365000   BTC   1   -45.0  1391405.0\n",
-       "4510 2018-12-20  SPX181221P02410000   BTC   1  -105.0  1391300.0\n",
-       "4511 2018-12-20  SPX181221P02480000   BTC   1 -1340.0  1389960.0\n",
-       "4512 2018-12-20  SPX181221C03015000   BTC   1    -0.0  1389960.0\n",
-       "4513 2018-12-20  SPX181221C02945000   BTC   1    -0.0  1389960.0\n",
-       "4514 2018-12-20  SPX190118C02715000   STO   1   290.0  1390250.0\n",
-       "4515 2018-12-20  SPX190118P02220000   STO   1  1230.0  1391480.0\n",
-       "4516 2018-12-21  SPX190118C02660000   STO   1   275.0  1391755.0\n",
-       "4517 2018-12-21  SPX190118P02170000   STO   1  1510.0  1393265.0\n",
-       "4518 2018-12-24  SPX190118C02590000   STO   1   440.0  1393705.0\n",
-       "4519 2018-12-24  SPX190118P02115000   STO   1  1860.0  1395565.0\n",
-       "4520 2018-12-26  SPX190118C02715000   STO   1   235.0  1395800.0\n",
-       "4521 2018-12-26  SPX190118P02220000   STO   1  1180.0  1396980.0\n",
-       "4522 2018-12-27  SPX190118C02740000   STO   1   200.0  1397180.0\n",
-       "4523 2018-12-27  SPX190118P02235000   STO   1  1160.0  1398340.0\n",
-       "4524 2018-12-28  SPX190118C02735000   STO   1   120.0  1398460.0\n",
-       "4525 2018-12-28  SPX190118P02235000   STO   1   990.0  1399450.0\n",
+       "                   leg_1                                               \\\n",
+       "                contract underlying expiration  type  strike     cost   \n",
+       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0  -1110.0   \n",
+       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0   -840.0   \n",
+       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0   -520.0   \n",
+       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0   -410.0   \n",
+       "4     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    400.0   \n",
+       "...                  ...        ...        ...   ...     ...      ...   \n",
+       "1329  SPX150821C01975000        SPX 2015-08-21  call  1975.0  10390.0   \n",
+       "1330  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   \n",
+       "1331  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   \n",
+       "1332  SPX150821C01985000        SPX 2015-08-21  call  1985.0   9390.0   \n",
+       "1333  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   \n",
        "\n",
-       "[4526 rows x 6 columns]"
+       "                                    leg_2                                     \\\n",
+       "           date order            contract underlying expiration type  strike   \n",
+       "0    2006-12-06   STO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "1    2006-12-07   STO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2    2006-12-08   STO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3    2006-12-11   STO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
+       "4    2006-12-18   BTC  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
+       "...         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "1329 2015-08-19   BTC  SPX150821P01975000        SPX 2015-08-21  put  1975.0   \n",
+       "1330 2015-08-19   BTC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
+       "1331 2015-08-19   BTC  SPX150821P01980000        SPX 2015-08-21  put  1980.0   \n",
+       "1332 2015-08-19   BTC  SPX150821P01985000        SPX 2015-08-21  put  1985.0   \n",
+       "1333 2015-08-20   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "\n",
+       "                                totals  \n",
+       "        cost       date order     cost  \n",
+       "0     -460.0 2006-12-06   STO  -1570.0  \n",
+       "1     -480.0 2006-12-07   STO  -1320.0  \n",
+       "2     -460.0 2006-12-08   STO   -980.0  \n",
+       "3     -580.0 2006-12-11   STO   -990.0  \n",
+       "4      340.0 2006-12-18   BTC    740.0  \n",
+       "...      ...        ...   ...      ...  \n",
+       "1329    20.0 2015-08-19   BTC  10410.0  \n",
+       "1330    20.0 2015-08-19   BTC  11410.0  \n",
+       "1331    20.0 2015-08-19   BTC   9910.0  \n",
+       "1332    25.0 2015-08-19   BTC   9415.0  \n",
+       "1333  3460.0 2015-08-20   BTC   9140.0  \n",
+       "\n",
+       "[1334 rows x 17 columns]"
       ]
      },
      "execution_count": 7,
@@ -810,7 +440,7 @@
     }
    ],
    "source": [
-    "bt.run()"
+    "bt.run(monthly=False)"
    ]
   },
   {
@@ -818,21 +448,496 @@
    "execution_count": 8,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/jrchatruc/anaconda3/lib/python3.7/site-packages/pandas/plotting/_matplotlib/converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
+      "\n",
+      "To register the converters:\n",
+      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
+      "\t>>> register_matplotlib_converters()\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
     {
      "data": {
+      "image/png": "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\n",
       "text/plain": [
-       "STO    2798\n",
-       "BTC    1728\n",
-       "Name: order, dtype: int64"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "execution_count": 8,
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 398
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now run a [long (ATM) straddle](https://www.investopedia.com/terms/l/longstraddle.asp) 45 DTE. This is the opposite of the previous strategy, where we enter buying the contracts instead of selling, and therefore profit from big movements in the underlying asset's price. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Long (ATM) straddle\n",
+    "long_straddle = Strategy(schema)\n",
+    "\n",
+    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.BUY)\n",
+    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= schema.underlying_last * 1.05) & (schema.strike >= schema.underlying_last * 0.95)\n",
+    "leg1.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
+    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= schema.underlying_last * 1.05) & (schema.strike >= schema.underlying_last * 0.95)\n",
+    "leg2.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "long_straddle.add_legs([leg1, leg2])\n",
+    "long_straddle.exit_thresholds = (0.25, 0.25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = long_straddle\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:02:43\n"
+     ]
+    },
+    {
+     "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 tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1435.0</td>\n",
+       "      <td>1230.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>550.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1780.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1440.0</td>\n",
+       "      <td>930.0</td>\n",
+       "      <td>2006-12-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070120P01340000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1340.0</td>\n",
+       "      <td>570.0</td>\n",
+       "      <td>2006-12-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SXZ070120C01450000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1450.0</td>\n",
+       "      <td>570.0</td>\n",
+       "      <td>2006-12-08</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070120P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>550.0</td>\n",
+       "      <td>2006-12-08</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1120.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>480.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>620.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1435.0</td>\n",
+       "      <td>-910.0</td>\n",
+       "      <td>2006-12-12</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-420.0</td>\n",
+       "      <td>2006-12-12</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-1330.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1326</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>11190.0</td>\n",
+       "      <td>2015-08-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150918P02045000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2045.0</td>\n",
+       "      <td>2720.0</td>\n",
+       "      <td>2015-08-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>13910.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1327</th>\n",
+       "      <td>SPX150821C01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>-10830.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>-10.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-10840.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1328</th>\n",
+       "      <td>SPX150821C01955000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1955.0</td>\n",
+       "      <td>-11830.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P01955000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1955.0</td>\n",
+       "      <td>-5.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-11835.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1329</th>\n",
+       "      <td>SPX150918C02005000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-5460.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-3270.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-8730.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1330</th>\n",
+       "      <td>SPX150918C02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-5810.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P02020000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2020.0</td>\n",
+       "      <td>-3410.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-9220.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1331 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   leg_1                                               \\\n",
+       "                contract underlying expiration  type  strike     cost   \n",
+       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   1230.0   \n",
+       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0    930.0   \n",
+       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0    570.0   \n",
+       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    480.0   \n",
+       "4     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   -910.0   \n",
+       "...                  ...        ...        ...   ...     ...      ...   \n",
+       "1326  SPX150918C01975000        SPX 2015-09-18  call  1975.0  11190.0   \n",
+       "1327  SPX150821C01965000        SPX 2015-08-21  call  1965.0 -10830.0   \n",
+       "1328  SPX150821C01955000        SPX 2015-08-21  call  1955.0 -11830.0   \n",
+       "1329  SPX150918C02005000        SPX 2015-09-18  call  2005.0  -5460.0   \n",
+       "1330  SPX150918C02000000        SPX 2015-09-18  call  2000.0  -5810.0   \n",
+       "\n",
+       "                                    leg_2                                     \\\n",
+       "           date order            contract underlying expiration type  strike   \n",
+       "0    2006-12-06   BTO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "1    2006-12-07   BTO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2    2006-12-08   BTO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3    2006-12-11   BTO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
+       "4    2006-12-12   STC  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "...         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "1326 2015-08-07   BTO  SPX150918P02045000        SPX 2015-09-18  put  2045.0   \n",
+       "1327 2015-08-19   STC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
+       "1328 2015-08-19   STC  SPX150821P01955000        SPX 2015-08-21  put  1955.0   \n",
+       "1329 2015-08-20   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "1330 2015-08-20   STC  SPX150918P02020000        SPX 2015-09-18  put  2020.0   \n",
+       "\n",
+       "                                totals  \n",
+       "        cost       date order     cost  \n",
+       "0      550.0 2006-12-06   BTO   1780.0  \n",
+       "1      570.0 2006-12-07   BTO   1500.0  \n",
+       "2      550.0 2006-12-08   BTO   1120.0  \n",
+       "3      620.0 2006-12-11   BTO   1100.0  \n",
+       "4     -420.0 2006-12-12   STC  -1330.0  \n",
+       "...      ...        ...   ...      ...  \n",
+       "1326  2720.0 2015-08-07   BTO  13910.0  \n",
+       "1327   -10.0 2015-08-19   STC -10840.0  \n",
+       "1328    -5.0 2015-08-19   STC -11835.0  \n",
+       "1329 -3270.0 2015-08-20   STC  -8730.0  \n",
+       "1330 -3410.0 2015-08-20   STC  -9220.0  \n",
+       "\n",
+       "[1331 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "bt.trade_log[\"order\"].value_counts()"
+    "bt.run(monthly=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 404
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally we run an [iron condor](https://www.investopedia.com/terms/i/ironcondor.asp)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Iron Condor\n",
+    "iron_condor = Strategy(schema)\n",
+    "\n",
+    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
+    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= 0.85 * schema.underlying_last)\n",
+    "leg1.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
+    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= 0.90 * schema.underlying_last) & (schema.strike <= schema.underlying_last)\n",
+    "leg2.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "leg3 = StrategyLeg(\"leg_3\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
+    "leg3.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last) & (schema.strike <= 1.10 * schema.underlying_last)\n",
+    "leg3.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "leg4 = StrategyLeg(\"leg_4\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
+    "leg4.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= 1.15 * schema.underlying_last)\n",
+    "leg4.exit_filter = (schema.dte <= 2)\n",
+    "\n",
+    "\n",
+    "iron_condor.add_legs([leg1, leg2, leg3, leg4])\n",
+    "iron_condor.exit_thresholds = (0.25, 0.25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest()\n",
+    "bt.strategy = iron_condor\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
    ]
   },
   {
@@ -840,34 +945,1241 @@
    "execution_count": 15,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:04:28\n"
+     ]
+    },
     {
      "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 tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">leg_2</th>\n",
+       "      <th>...</th>\n",
+       "      <th>leg_3</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_4</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>...</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>200.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>2008-12-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPZ090117P00740000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXB090117P00940000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>940.0</td>\n",
+       "      <td>14740.0</td>\n",
+       "      <td>2008-12-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>5325.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>200.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2008-12-02</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPZ090117P00740000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXB090117P00940000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>940.0</td>\n",
+       "      <td>-11750.0</td>\n",
+       "      <td>2008-12-02</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-1520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SPV090117P00300000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>300.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2008-12-02</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXB090117P00980000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>980.0</td>\n",
+       "      <td>14870.0</td>\n",
+       "      <td>2008-12-02</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>4830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SPV090117P00300000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>300.0</td>\n",
+       "      <td>-5.0</td>\n",
+       "      <td>2008-12-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXB090117P00980000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>980.0</td>\n",
+       "      <td>-13250.0</td>\n",
+       "      <td>2008-12-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-2315.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>200.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2008-12-04</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXB090117P00975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2009-01-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>975.0</td>\n",
+       "      <td>14870.0</td>\n",
+       "      <td>2008-12-04</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>4880.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>550</th>\n",
+       "      <td>SPX150821P00800000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>800.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P01845000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P02600000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2600.0</td>\n",
+       "      <td>-52120.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-49045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>551</th>\n",
+       "      <td>SPX150918P00500000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>500.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P01900000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02450000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2450.0</td>\n",
+       "      <td>-41660.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-39960.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>552</th>\n",
+       "      <td>SPX150918P00600000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>600.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P01895000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02500000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2500.0</td>\n",
+       "      <td>-52480.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-49100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>553</th>\n",
+       "      <td>SPX150918P00700000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P01890000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02550000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2550.0</td>\n",
+       "      <td>-57480.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-54100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>554</th>\n",
+       "      <td>SPX150918P00825000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>825.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P01880000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>...</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02400000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2400.0</td>\n",
+       "      <td>-42490.0</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-39160.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>555 rows × 33 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d896cb00>"
+       "                  leg_1                                                     \\\n",
+       "               contract underlying expiration type strike  cost       date   \n",
+       "0    SPV090117P00200000        SPX 2009-01-17  put  200.0  35.0 2008-12-01   \n",
+       "1    SPV090117P00200000        SPX 2009-01-17  put  200.0  -0.0 2008-12-02   \n",
+       "2    SPV090117P00300000        SPX 2009-01-17  put  300.0  40.0 2008-12-02   \n",
+       "3    SPV090117P00300000        SPX 2009-01-17  put  300.0  -5.0 2008-12-03   \n",
+       "4    SPV090117P00200000        SPX 2009-01-17  put  200.0  40.0 2008-12-04   \n",
+       "..                  ...        ...        ...  ...    ...   ...        ...   \n",
+       "550  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0 2015-08-19   \n",
+       "551  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0 2015-08-20   \n",
+       "552  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0 2015-08-21   \n",
+       "553  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0 2015-08-21   \n",
+       "554  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0 2015-08-21   \n",
+       "\n",
+       "                        leg_2             ... leg_3               leg_4  \\\n",
+       "    order            contract underlying  ... order            contract   \n",
+       "0     BTO  SPZ090117P00740000        SPX  ...   STO  SXB090117P00940000   \n",
+       "1     STC  SPZ090117P00740000        SPX  ...   BTC  SXB090117P00940000   \n",
+       "2     BTO  SPZ090117P00765000        SPX  ...   STO  SXB090117P00980000   \n",
+       "3     STC  SPZ090117P00765000        SPX  ...   BTC  SXB090117P00980000   \n",
+       "4     BTO  SPZ090117P00765000        SPX  ...   STO  SXB090117P00975000   \n",
+       "..    ...                 ...        ...  ...   ...                 ...   \n",
+       "550   STC  SPX150821P01845000        SPX  ...   BTC  SPX150821P02600000   \n",
+       "551   STC  SPX150918P01900000        SPX  ...   BTC  SPX150918P02450000   \n",
+       "552   STC  SPX150918P01895000        SPX  ...   BTC  SPX150918P02500000   \n",
+       "553   STC  SPX150918P01890000        SPX  ...   BTC  SPX150918P02550000   \n",
+       "554   STC  SPX150918P01880000        SPX  ...   BTC  SPX150918P02400000   \n",
+       "\n",
+       "                                                                   totals  \n",
+       "    underlying expiration type  strike     cost       date order     cost  \n",
+       "0          SPX 2009-01-17  put   940.0  14740.0 2008-12-01   BTO   5325.0  \n",
+       "1          SPX 2009-01-17  put   940.0 -11750.0 2008-12-02   STC  -1520.0  \n",
+       "2          SPX 2009-01-17  put   980.0  14870.0 2008-12-02   BTO   4830.0  \n",
+       "3          SPX 2009-01-17  put   980.0 -13250.0 2008-12-03   STC  -2315.0  \n",
+       "4          SPX 2009-01-17  put   975.0  14870.0 2008-12-04   BTO   4880.0  \n",
+       "..         ...        ...  ...     ...      ...        ...   ...      ...  \n",
+       "550        SPX 2015-08-21  put  2600.0 -52120.0 2015-08-19   STC -49045.0  \n",
+       "551        SPX 2015-09-18  put  2450.0 -41660.0 2015-08-20   STC -39960.0  \n",
+       "552        SPX 2015-09-18  put  2500.0 -52480.0 2015-08-21   STC -49100.0  \n",
+       "553        SPX 2015-09-18  put  2550.0 -57480.0 2015-08-21   STC -54100.0  \n",
+       "554        SPX 2015-09-18  put  2400.0 -42490.0 2015-08-21   STC -39160.0  \n",
+       "\n",
+       "[555 rows x 33 columns]"
       ]
      },
      "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
-    },
+    }
+   ],
+   "source": [
+    "bt.run(monthly=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 448,
-       "width": 847
-      }
+       "height": 248,
+       "width": 400
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "bt.trade_log.plot(x=\"date\", y=\"capital\")"
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To run the backtest monthly, use the boolean parameter *monthly* on the *run* method (False by default)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Short ATM straddle (monthly)\n",
+    "short_straddle_monthly = Strategy(schema)\n",
+    "\n",
+    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
+    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg1.exit_filter = (schema.dte <= 60)\n",
+    "\n",
+    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
+    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg2.exit_filter = (schema.dte <= 60)\n",
+    "\n",
+    "short_straddle_monthly.add_legs([leg1, leg2])\n",
+    "# Exit thresholds: none\n",
+    "short_straddle_monthly.exit_thresholds = (float('inf'), float('inf'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = short_straddle_monthly\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:00:09\n"
+     ]
+    },
+    {
+     "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 tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-8530.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-790.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-9320.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>8200.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>540.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>8740.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-7920.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-1030.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-8950.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>9860.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>280.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>10140.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070421C01485000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1485.0</td>\n",
+       "      <td>-1140.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070421P01375000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1375.0</td>\n",
+       "      <td>-690.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-1830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-11900.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-2440.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-14340.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>8940.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>2650.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>11590.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>-12230.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-3720.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-15950.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>12720.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>1560.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>14280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>SPX151016C02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-11020.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX151016P02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-2160.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-13180.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>159 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  leg_1                                               \\\n",
+       "               contract underlying expiration  type  strike     cost   \n",
+       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8530.0   \n",
+       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8200.0   \n",
+       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -7920.0   \n",
+       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0   9860.0   \n",
+       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0  -1140.0   \n",
+       "..                  ...        ...        ...   ...     ...      ...   \n",
+       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0 -11900.0   \n",
+       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0   8940.0   \n",
+       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12230.0   \n",
+       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12720.0   \n",
+       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0 -11020.0   \n",
+       "\n",
+       "                                   leg_2                                     \\\n",
+       "          date order            contract underlying expiration type  strike   \n",
+       "0   2006-12-06   STO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "1   2007-01-03   BTC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "2   2007-01-03   STO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "3   2007-02-01   BTC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "4   2007-02-01   STO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
+       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "154 2015-06-01   STO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "155 2015-07-01   BTC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "156 2015-07-01   STO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "157 2015-08-03   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "158 2015-08-03   STO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
+       "\n",
+       "                               totals  \n",
+       "       cost       date order     cost  \n",
+       "0    -790.0 2006-12-06   STO  -9320.0  \n",
+       "1     540.0 2007-01-03   BTC   8740.0  \n",
+       "2   -1030.0 2007-01-03   STO  -8950.0  \n",
+       "3     280.0 2007-02-01   BTC  10140.0  \n",
+       "4    -690.0 2007-02-01   STO  -1830.0  \n",
+       "..      ...        ...   ...      ...  \n",
+       "154 -2440.0 2015-06-01   STO -14340.0  \n",
+       "155  2650.0 2015-07-01   BTC  11590.0  \n",
+       "156 -3720.0 2015-07-01   STO -15950.0  \n",
+       "157  1560.0 2015-08-03   BTC  14280.0  \n",
+       "158 -2160.0 2015-08-03   STO -13180.0  \n",
+       "\n",
+       "[159 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bt.run(monthly=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 394
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We also have a class that parametrizes the straddle (long or short)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from backtester.strategy import Straddle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "std = Straddle(schema, 'long', 'SPX', dte_entry_range=(61,90), dte_exit=60, atm_pct=(0.05, 0.05), exit_thresholds=(float('inf'), float('inf')))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*atm_pct* is the distance between the strike and the spot in percentage. For instance (0.05, 0.05) means we pick contracts for which the strike is within 5% of the spot price."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = std\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:00:09\n"
+     ]
+    },
+    {
+     "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 tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>8710.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>880.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>9590.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-8000.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-8460.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>8120.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>1190.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>9310.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-9660.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-200.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-9860.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070421C01485000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1485.0</td>\n",
+       "      <td>1300.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070421P01375000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1375.0</td>\n",
+       "      <td>750.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>2050.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>12220.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>2670.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>14890.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-8640.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-2470.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-11110.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>12530.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>3980.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>16510.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>-12330.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-1390.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-13720.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>SPX151016C02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>11360.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX151016P02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>2360.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>13720.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>159 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  leg_1                                               \\\n",
+       "               contract underlying expiration  type  strike     cost   \n",
+       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8710.0   \n",
+       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8000.0   \n",
+       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0   8120.0   \n",
+       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -9660.0   \n",
+       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0   1300.0   \n",
+       "..                  ...        ...        ...   ...     ...      ...   \n",
+       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0  12220.0   \n",
+       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0  -8640.0   \n",
+       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12530.0   \n",
+       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12330.0   \n",
+       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0  11360.0   \n",
+       "\n",
+       "                                   leg_2                                     \\\n",
+       "          date order            contract underlying expiration type  strike   \n",
+       "0   2006-12-06   BTO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "1   2007-01-03   STC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "2   2007-01-03   BTO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "3   2007-02-01   STC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "4   2007-02-01   BTO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
+       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "154 2015-06-01   BTO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "155 2015-07-01   STC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "156 2015-07-01   BTO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "157 2015-08-03   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "158 2015-08-03   BTO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
+       "\n",
+       "                               totals  \n",
+       "       cost       date order     cost  \n",
+       "0     880.0 2006-12-06   BTO   9590.0  \n",
+       "1    -460.0 2007-01-03   STC  -8460.0  \n",
+       "2    1190.0 2007-01-03   BTO   9310.0  \n",
+       "3    -200.0 2007-02-01   STC  -9860.0  \n",
+       "4     750.0 2007-02-01   BTO   2050.0  \n",
+       "..      ...        ...   ...      ...  \n",
+       "154  2670.0 2015-06-01   BTO  14890.0  \n",
+       "155 -2470.0 2015-07-01   STC -11110.0  \n",
+       "156  3980.0 2015-07-01   BTO  16510.0  \n",
+       "157 -1390.0 2015-08-03   STC -13720.0  \n",
+       "158  2360.0 2015-08-03   BTO  13720.0  \n",
+       "\n",
+       "[159 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bt.run(monthly=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 405
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
    ]
   },
   {
@@ -894,7 +2206,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,
diff --git a/backtester_demo.ipynb b/backtester_demo.ipynb
deleted file mode 100644
index e606d3d..0000000
--- a/backtester_demo.ipynb
+++ /dev/null
@@ -1,2203 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%config InlineBackend.figure_format=\"retina\"\n",
-    "%matplotlib inline\n",
-    "\n",
-    "import pandas as pd\n",
-    "import os\n",
-    "import matplotlib.pyplot as plt\n",
-    "from importlib import reload\n",
-    "plt.style.use(\"seaborn\")\n",
-    "plt.rcParams[\"figure.figsize\"] = (14, 8)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from backtester.datahandler import HistoricalOptionsData\n",
-    "from backtester.strategy import Strategy, StrategyLeg\n",
-    "from backtester.option import Type, Direction\n",
-    "from backtester import Backtest"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Cleaned up data\n",
-    "data = HistoricalOptionsData(\"allspx/options_data_v2_pruned_compressed.h5\", key=\"/SPX\")\n",
-    "schema = data.schema"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data._data = data._data[(data._data['quotedate'] >= '2006-12-06') & (data._data['quotedate'] <= '2015-08-21')]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We run the backtest on the date range above to compare with [this backtest.](http://dtr-trading.blogspot.com/p/spx-straddle-articles.html) We do the comparison with a [short (ATM) straddle](https://www.investopedia.com/terms/s/shortstraddle.asp) 45 DTE. Essentially the strategy consists of selling both a call and a put with (approximately) the same strike and expiration date, profiting if the underlying asset's price does not move very much. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Short ATM straddle\n",
-    "short_straddle = Strategy(schema)\n",
-    "\n",
-    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
-    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
-    "\n",
-    "leg1.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
-    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
-    "\n",
-    "leg2.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "short_straddle.add_legs([leg1, leg2])\n",
-    "# Exit thresholds: we exit if the loss or profit on the investment on an entry is greater than 25%.\n",
-    "short_straddle.exit_thresholds = (0.25, 0.25)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bt = Backtest(capital = 0)\n",
-    "bt.strategy = short_straddle\n",
-    "bt.data = data\n",
-    "bt.stop_if_broke = False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:02:52\n"
-     ]
-    },
-    {
-     "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 tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
-       "      <th>totals</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>cost</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>SXZ070120C01435000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1435.0</td>\n",
-       "      <td>-1110.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070120P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-460.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-1570.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SXZ070120C01440000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1440.0</td>\n",
-       "      <td>-840.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070120P01340000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1340.0</td>\n",
-       "      <td>-480.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-1320.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SXZ070120C01450000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1450.0</td>\n",
-       "      <td>-520.0</td>\n",
-       "      <td>2006-12-08</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070120P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>-460.0</td>\n",
-       "      <td>2006-12-08</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-980.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1455.0</td>\n",
-       "      <td>-410.0</td>\n",
-       "      <td>2006-12-11</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070120P01365000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1365.0</td>\n",
-       "      <td>-580.0</td>\n",
-       "      <td>2006-12-11</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-990.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1455.0</td>\n",
-       "      <td>400.0</td>\n",
-       "      <td>2006-12-18</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXY070120P01365000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1365.0</td>\n",
-       "      <td>340.0</td>\n",
-       "      <td>2006-12-18</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>740.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1329</th>\n",
-       "      <td>SPX150821C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>10390.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>10410.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1330</th>\n",
-       "      <td>SPX150821C01965000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1965.0</td>\n",
-       "      <td>11390.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P01965000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1965.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>11410.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1331</th>\n",
-       "      <td>SPX150821C01980000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1980.0</td>\n",
-       "      <td>9890.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P01980000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1980.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>9910.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1332</th>\n",
-       "      <td>SPX150821C01985000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1985.0</td>\n",
-       "      <td>9390.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P01985000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1985.0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>9415.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1333</th>\n",
-       "      <td>SPX150918C02005000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2005.0</td>\n",
-       "      <td>5680.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>3460.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>9140.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1334 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   leg_1                                               \\\n",
-       "                contract underlying expiration  type  strike     cost   \n",
-       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0  -1110.0   \n",
-       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0   -840.0   \n",
-       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0   -520.0   \n",
-       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0   -410.0   \n",
-       "4     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    400.0   \n",
-       "...                  ...        ...        ...   ...     ...      ...   \n",
-       "1329  SPX150821C01975000        SPX 2015-08-21  call  1975.0  10390.0   \n",
-       "1330  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   \n",
-       "1331  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   \n",
-       "1332  SPX150821C01985000        SPX 2015-08-21  call  1985.0   9390.0   \n",
-       "1333  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   \n",
-       "\n",
-       "                                    leg_2                                     \\\n",
-       "           date order            contract underlying expiration type  strike   \n",
-       "0    2006-12-06   STO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
-       "1    2006-12-07   STO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
-       "2    2006-12-08   STO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
-       "3    2006-12-11   STO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
-       "4    2006-12-18   BTC  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
-       "...         ...   ...                 ...        ...        ...  ...     ...   \n",
-       "1329 2015-08-19   BTC  SPX150821P01975000        SPX 2015-08-21  put  1975.0   \n",
-       "1330 2015-08-19   BTC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
-       "1331 2015-08-19   BTC  SPX150821P01980000        SPX 2015-08-21  put  1980.0   \n",
-       "1332 2015-08-19   BTC  SPX150821P01985000        SPX 2015-08-21  put  1985.0   \n",
-       "1333 2015-08-20   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "\n",
-       "                                totals  \n",
-       "        cost       date order     cost  \n",
-       "0     -460.0 2006-12-06   STO  -1570.0  \n",
-       "1     -480.0 2006-12-07   STO  -1320.0  \n",
-       "2     -460.0 2006-12-08   STO   -980.0  \n",
-       "3     -580.0 2006-12-11   STO   -990.0  \n",
-       "4      340.0 2006-12-18   BTC    740.0  \n",
-       "...      ...        ...   ...      ...  \n",
-       "1329    20.0 2015-08-19   BTC  10410.0  \n",
-       "1330    20.0 2015-08-19   BTC  11410.0  \n",
-       "1331    20.0 2015-08-19   BTC   9910.0  \n",
-       "1332    25.0 2015-08-19   BTC   9415.0  \n",
-       "1333  3460.0 2015-08-20   BTC   9140.0  \n",
-       "\n",
-       "[1334 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bt.run(monthly=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/jrchatruc/anaconda3/lib/python3.7/site-packages/pandas/plotting/_matplotlib/converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
-      "\n",
-      "To register the converters:\n",
-      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
-      "\t>>> register_matplotlib_converters()\n",
-      "  warnings.warn(msg, FutureWarning)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 248,
-       "width": 398
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
-    "date = bt.trade_log['leg_1']['date']\n",
-    "plt.plot(date, capital);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We now run a [long (ATM) straddle](https://www.investopedia.com/terms/l/longstraddle.asp) 45 DTE. This is the opposite of the previous strategy, where we enter buying the contracts instead of selling, and therefore profit from big movements in the underlying asset's price. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Long (ATM) straddle\n",
-    "long_straddle = Strategy(schema)\n",
-    "\n",
-    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.BUY)\n",
-    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= schema.underlying_last * 1.05) & (schema.strike >= schema.underlying_last * 0.95)\n",
-    "leg1.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
-    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= schema.underlying_last * 1.05) & (schema.strike >= schema.underlying_last * 0.95)\n",
-    "leg2.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "long_straddle.add_legs([leg1, leg2])\n",
-    "long_straddle.exit_thresholds = (0.25, 0.25)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bt = Backtest(capital = 0)\n",
-    "bt.strategy = long_straddle\n",
-    "bt.data = data\n",
-    "bt.stop_if_broke = False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:02:43\n"
-     ]
-    },
-    {
-     "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 tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
-       "      <th>totals</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>cost</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>SXZ070120C01435000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1435.0</td>\n",
-       "      <td>1230.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070120P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>550.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1780.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SXZ070120C01440000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1440.0</td>\n",
-       "      <td>930.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070120P01340000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1340.0</td>\n",
-       "      <td>570.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1500.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SXZ070120C01450000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1450.0</td>\n",
-       "      <td>570.0</td>\n",
-       "      <td>2006-12-08</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070120P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>550.0</td>\n",
-       "      <td>2006-12-08</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1120.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1455.0</td>\n",
-       "      <td>480.0</td>\n",
-       "      <td>2006-12-11</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070120P01365000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1365.0</td>\n",
-       "      <td>620.0</td>\n",
-       "      <td>2006-12-11</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SXZ070120C01435000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1435.0</td>\n",
-       "      <td>-910.0</td>\n",
-       "      <td>2006-12-12</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SXY070120P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-420.0</td>\n",
-       "      <td>2006-12-12</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-1330.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1326</th>\n",
-       "      <td>SPX150918C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>11190.0</td>\n",
-       "      <td>2015-08-07</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPX150918P02045000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2045.0</td>\n",
-       "      <td>2720.0</td>\n",
-       "      <td>2015-08-07</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>13910.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1327</th>\n",
-       "      <td>SPX150821C01965000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1965.0</td>\n",
-       "      <td>-10830.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150821P01965000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1965.0</td>\n",
-       "      <td>-10.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-10840.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1328</th>\n",
-       "      <td>SPX150821C01955000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1955.0</td>\n",
-       "      <td>-11830.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150821P01955000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1955.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-11835.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1329</th>\n",
-       "      <td>SPX150918C02005000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2005.0</td>\n",
-       "      <td>-5460.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>-3270.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-8730.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1330</th>\n",
-       "      <td>SPX150918C02000000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2000.0</td>\n",
-       "      <td>-5810.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P02020000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2020.0</td>\n",
-       "      <td>-3410.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-9220.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1331 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   leg_1                                               \\\n",
-       "                contract underlying expiration  type  strike     cost   \n",
-       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   1230.0   \n",
-       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0    930.0   \n",
-       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0    570.0   \n",
-       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    480.0   \n",
-       "4     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   -910.0   \n",
-       "...                  ...        ...        ...   ...     ...      ...   \n",
-       "1326  SPX150918C01975000        SPX 2015-09-18  call  1975.0  11190.0   \n",
-       "1327  SPX150821C01965000        SPX 2015-08-21  call  1965.0 -10830.0   \n",
-       "1328  SPX150821C01955000        SPX 2015-08-21  call  1955.0 -11830.0   \n",
-       "1329  SPX150918C02005000        SPX 2015-09-18  call  2005.0  -5460.0   \n",
-       "1330  SPX150918C02000000        SPX 2015-09-18  call  2000.0  -5810.0   \n",
-       "\n",
-       "                                    leg_2                                     \\\n",
-       "           date order            contract underlying expiration type  strike   \n",
-       "0    2006-12-06   BTO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
-       "1    2006-12-07   BTO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
-       "2    2006-12-08   BTO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
-       "3    2006-12-11   BTO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
-       "4    2006-12-12   STC  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
-       "...         ...   ...                 ...        ...        ...  ...     ...   \n",
-       "1326 2015-08-07   BTO  SPX150918P02045000        SPX 2015-09-18  put  2045.0   \n",
-       "1327 2015-08-19   STC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
-       "1328 2015-08-19   STC  SPX150821P01955000        SPX 2015-08-21  put  1955.0   \n",
-       "1329 2015-08-20   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "1330 2015-08-20   STC  SPX150918P02020000        SPX 2015-09-18  put  2020.0   \n",
-       "\n",
-       "                                totals  \n",
-       "        cost       date order     cost  \n",
-       "0      550.0 2006-12-06   BTO   1780.0  \n",
-       "1      570.0 2006-12-07   BTO   1500.0  \n",
-       "2      550.0 2006-12-08   BTO   1120.0  \n",
-       "3      620.0 2006-12-11   BTO   1100.0  \n",
-       "4     -420.0 2006-12-12   STC  -1330.0  \n",
-       "...      ...        ...   ...      ...  \n",
-       "1326  2720.0 2015-08-07   BTO  13910.0  \n",
-       "1327   -10.0 2015-08-19   STC -10840.0  \n",
-       "1328    -5.0 2015-08-19   STC -11835.0  \n",
-       "1329 -3270.0 2015-08-20   STC  -8730.0  \n",
-       "1330 -3410.0 2015-08-20   STC  -9220.0  \n",
-       "\n",
-       "[1331 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bt.run(monthly=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 248,
-       "width": 404
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
-    "date = bt.trade_log['leg_1']['date']\n",
-    "plt.plot(date, capital);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finally we run an [iron condor](https://www.investopedia.com/terms/i/ironcondor.asp)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Iron Condor\n",
-    "iron_condor = Strategy(schema)\n",
-    "\n",
-    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
-    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike <= 0.85 * schema.underlying_last)\n",
-    "leg1.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
-    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= 0.90 * schema.underlying_last) & (schema.strike <= schema.underlying_last)\n",
-    "leg2.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "leg3 = StrategyLeg(\"leg_3\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
-    "leg3.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= schema.underlying_last) & (schema.strike <= 1.10 * schema.underlying_last)\n",
-    "leg3.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "leg4 = StrategyLeg(\"leg_4\", schema, option_type=Type.PUT, direction=Direction.BUY)\n",
-    "leg4.entry_filter = (schema.underlying == \"SPX\") & (schema.dte >= 40) & (schema.dte <= 50) & (schema.strike >= 1.15 * schema.underlying_last)\n",
-    "leg4.exit_filter = (schema.dte <= 2)\n",
-    "\n",
-    "\n",
-    "iron_condor.add_legs([leg1, leg2, leg3, leg4])\n",
-    "iron_condor.exit_thresholds = (0.25, 0.25)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bt = Backtest()\n",
-    "bt.strategy = iron_condor\n",
-    "bt.data = data\n",
-    "bt.stop_if_broke = False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:04:28\n"
-     ]
-    },
-    {
-     "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 tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">leg_2</th>\n",
-       "      <th>...</th>\n",
-       "      <th>leg_3</th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_4</th>\n",
-       "      <th>totals</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>...</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>cost</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>2008-12-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00740000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXB090117P00940000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>940.0</td>\n",
-       "      <td>14740.0</td>\n",
-       "      <td>2008-12-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>5325.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2008-12-02</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPZ090117P00740000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXB090117P00940000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>940.0</td>\n",
-       "      <td>-11750.0</td>\n",
-       "      <td>2008-12-02</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-1520.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SPV090117P00300000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>300.0</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>2008-12-02</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXB090117P00980000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>980.0</td>\n",
-       "      <td>14870.0</td>\n",
-       "      <td>2008-12-02</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>4830.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>SPV090117P00300000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>300.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>2008-12-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXB090117P00980000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>980.0</td>\n",
-       "      <td>-13250.0</td>\n",
-       "      <td>2008-12-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-2315.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>2008-12-04</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXB090117P00975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>975.0</td>\n",
-       "      <td>14870.0</td>\n",
-       "      <td>2008-12-04</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>4880.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>550</th>\n",
-       "      <td>SPX150821P00800000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>800.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150821P01845000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P02600000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2600.0</td>\n",
-       "      <td>-52120.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-49045.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>551</th>\n",
-       "      <td>SPX150918P00500000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>500.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P01900000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02450000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2450.0</td>\n",
-       "      <td>-41660.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-39960.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>552</th>\n",
-       "      <td>SPX150918P00600000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>600.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P01895000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02500000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2500.0</td>\n",
-       "      <td>-52480.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-49100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>553</th>\n",
-       "      <td>SPX150918P00700000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>700.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P01890000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02550000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2550.0</td>\n",
-       "      <td>-57480.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-54100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>554</th>\n",
-       "      <td>SPX150918P00825000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>825.0</td>\n",
-       "      <td>-0.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P01880000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>...</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02400000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2400.0</td>\n",
-       "      <td>-42490.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-39160.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>555 rows × 33 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  leg_1                                                     \\\n",
-       "               contract underlying expiration type strike  cost       date   \n",
-       "0    SPV090117P00200000        SPX 2009-01-17  put  200.0  35.0 2008-12-01   \n",
-       "1    SPV090117P00200000        SPX 2009-01-17  put  200.0  -0.0 2008-12-02   \n",
-       "2    SPV090117P00300000        SPX 2009-01-17  put  300.0  40.0 2008-12-02   \n",
-       "3    SPV090117P00300000        SPX 2009-01-17  put  300.0  -5.0 2008-12-03   \n",
-       "4    SPV090117P00200000        SPX 2009-01-17  put  200.0  40.0 2008-12-04   \n",
-       "..                  ...        ...        ...  ...    ...   ...        ...   \n",
-       "550  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0 2015-08-19   \n",
-       "551  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0 2015-08-20   \n",
-       "552  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0 2015-08-21   \n",
-       "553  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0 2015-08-21   \n",
-       "554  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0 2015-08-21   \n",
-       "\n",
-       "                        leg_2             ... leg_3               leg_4  \\\n",
-       "    order            contract underlying  ... order            contract   \n",
-       "0     BTO  SPZ090117P00740000        SPX  ...   STO  SXB090117P00940000   \n",
-       "1     STC  SPZ090117P00740000        SPX  ...   BTC  SXB090117P00940000   \n",
-       "2     BTO  SPZ090117P00765000        SPX  ...   STO  SXB090117P00980000   \n",
-       "3     STC  SPZ090117P00765000        SPX  ...   BTC  SXB090117P00980000   \n",
-       "4     BTO  SPZ090117P00765000        SPX  ...   STO  SXB090117P00975000   \n",
-       "..    ...                 ...        ...  ...   ...                 ...   \n",
-       "550   STC  SPX150821P01845000        SPX  ...   BTC  SPX150821P02600000   \n",
-       "551   STC  SPX150918P01900000        SPX  ...   BTC  SPX150918P02450000   \n",
-       "552   STC  SPX150918P01895000        SPX  ...   BTC  SPX150918P02500000   \n",
-       "553   STC  SPX150918P01890000        SPX  ...   BTC  SPX150918P02550000   \n",
-       "554   STC  SPX150918P01880000        SPX  ...   BTC  SPX150918P02400000   \n",
-       "\n",
-       "                                                                   totals  \n",
-       "    underlying expiration type  strike     cost       date order     cost  \n",
-       "0          SPX 2009-01-17  put   940.0  14740.0 2008-12-01   BTO   5325.0  \n",
-       "1          SPX 2009-01-17  put   940.0 -11750.0 2008-12-02   STC  -1520.0  \n",
-       "2          SPX 2009-01-17  put   980.0  14870.0 2008-12-02   BTO   4830.0  \n",
-       "3          SPX 2009-01-17  put   980.0 -13250.0 2008-12-03   STC  -2315.0  \n",
-       "4          SPX 2009-01-17  put   975.0  14870.0 2008-12-04   BTO   4880.0  \n",
-       "..         ...        ...  ...     ...      ...        ...   ...      ...  \n",
-       "550        SPX 2015-08-21  put  2600.0 -52120.0 2015-08-19   STC -49045.0  \n",
-       "551        SPX 2015-09-18  put  2450.0 -41660.0 2015-08-20   STC -39960.0  \n",
-       "552        SPX 2015-09-18  put  2500.0 -52480.0 2015-08-21   STC -49100.0  \n",
-       "553        SPX 2015-09-18  put  2550.0 -57480.0 2015-08-21   STC -54100.0  \n",
-       "554        SPX 2015-09-18  put  2400.0 -42490.0 2015-08-21   STC -39160.0  \n",
-       "\n",
-       "[555 rows x 33 columns]"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bt.run(monthly=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 248,
-       "width": 400
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
-    "date = bt.trade_log['leg_1']['date']\n",
-    "plt.plot(date, capital);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To run the backtest monthly, use the boolean parameter *monthly* on the *run* method (False by default)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Short ATM straddle (monthly)\n",
-    "short_straddle_monthly = Strategy(schema)\n",
-    "\n",
-    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
-    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
-    "\n",
-    "leg1.exit_filter = (schema.dte <= 60)\n",
-    "\n",
-    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
-    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
-    "\n",
-    "leg2.exit_filter = (schema.dte <= 60)\n",
-    "\n",
-    "short_straddle_monthly.add_legs([leg1, leg2])\n",
-    "# Exit thresholds: none\n",
-    "short_straddle_monthly.exit_thresholds = (float('inf'), float('inf'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bt = Backtest(capital = 0)\n",
-    "bt.strategy = short_straddle_monthly\n",
-    "bt.data = data\n",
-    "bt.stop_if_broke = False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:09\n"
-     ]
-    },
-    {
-     "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 tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
-       "      <th>totals</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>cost</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>SXY070217C01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>-8530.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070217P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>-790.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-9320.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SXY070217C01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>8200.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXY070217P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>540.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>8740.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SXY070317C01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-7920.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070317P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-1030.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-8950.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>SXY070317C01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>9860.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXY070317P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>280.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>10140.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SXZ070421C01485000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-04-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1485.0</td>\n",
-       "      <td>-1140.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070421P01375000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-04-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1375.0</td>\n",
-       "      <td>-690.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-1830.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>154</th>\n",
-       "      <td>SPX150821C02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>-11900.0</td>\n",
-       "      <td>2015-06-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SPX150821P02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>-2440.0</td>\n",
-       "      <td>2015-06-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-14340.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>155</th>\n",
-       "      <td>SPX150821C02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>8940.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150821P02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>2650.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>11590.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>SPX150918C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>-12230.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>-3720.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-15950.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>157</th>\n",
-       "      <td>SPX150918C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>12720.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>14280.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>158</th>\n",
-       "      <td>SPX151016C02000000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-10-16</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2000.0</td>\n",
-       "      <td>-11020.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SPX151016P02000000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-10-16</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2000.0</td>\n",
-       "      <td>-2160.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-13180.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>159 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  leg_1                                               \\\n",
-       "               contract underlying expiration  type  strike     cost   \n",
-       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8530.0   \n",
-       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8200.0   \n",
-       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -7920.0   \n",
-       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0   9860.0   \n",
-       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0  -1140.0   \n",
-       "..                  ...        ...        ...   ...     ...      ...   \n",
-       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0 -11900.0   \n",
-       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0   8940.0   \n",
-       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12230.0   \n",
-       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12720.0   \n",
-       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0 -11020.0   \n",
-       "\n",
-       "                                   leg_2                                     \\\n",
-       "          date order            contract underlying expiration type  strike   \n",
-       "0   2006-12-06   STO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
-       "1   2007-01-03   BTC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
-       "2   2007-01-03   STO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
-       "3   2007-02-01   BTC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
-       "4   2007-02-01   STO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
-       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
-       "154 2015-06-01   STO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
-       "155 2015-07-01   BTC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
-       "156 2015-07-01   STO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "157 2015-08-03   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "158 2015-08-03   STO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
-       "\n",
-       "                               totals  \n",
-       "       cost       date order     cost  \n",
-       "0    -790.0 2006-12-06   STO  -9320.0  \n",
-       "1     540.0 2007-01-03   BTC   8740.0  \n",
-       "2   -1030.0 2007-01-03   STO  -8950.0  \n",
-       "3     280.0 2007-02-01   BTC  10140.0  \n",
-       "4    -690.0 2007-02-01   STO  -1830.0  \n",
-       "..      ...        ...   ...      ...  \n",
-       "154 -2440.0 2015-06-01   STO -14340.0  \n",
-       "155  2650.0 2015-07-01   BTC  11590.0  \n",
-       "156 -3720.0 2015-07-01   STO -15950.0  \n",
-       "157  1560.0 2015-08-03   BTC  14280.0  \n",
-       "158 -2160.0 2015-08-03   STO -13180.0  \n",
-       "\n",
-       "[159 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bt.run(monthly=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 248,
-       "width": 394
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
-    "date = bt.trade_log['leg_1']['date']\n",
-    "plt.plot(date, capital);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We also have a class that parametrizes the straddle (long or short)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from backtester.strategy import Straddle"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "std = Straddle(schema, 'long', 'SPX', dte_entry_range=(61,90), dte_exit=60, atm_pct=(0.05, 0.05), exit_thresholds=(float('inf'), float('inf')))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "*atm_pct* is the distance between the strike and the spot in percentage. For instance (0.05, 0.05) means we pick contracts for which the strike is within 5% of the spot price."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bt = Backtest(capital = 0)\n",
-    "bt.strategy = std\n",
-    "bt.data = data\n",
-    "bt.stop_if_broke = False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:09\n"
-     ]
-    },
-    {
-     "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 tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
-       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
-       "      <th>totals</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>contract</th>\n",
-       "      <th>underlying</th>\n",
-       "      <th>expiration</th>\n",
-       "      <th>type</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>cost</th>\n",
-       "      <th>date</th>\n",
-       "      <th>order</th>\n",
-       "      <th>cost</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>SXY070217C01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>8710.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070217P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>880.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>9590.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SXY070217C01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>-8000.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SXY070217P01345000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-02-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1345.0</td>\n",
-       "      <td>-460.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-8460.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SXY070317C01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>8120.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070317P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>1190.0</td>\n",
-       "      <td>2007-01-03</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>9310.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>SXY070317C01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-9660.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SXY070317P01355000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-03-17</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1355.0</td>\n",
-       "      <td>-200.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-9860.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SXZ070421C01485000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-04-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1485.0</td>\n",
-       "      <td>1300.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXY070421P01375000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-04-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1375.0</td>\n",
-       "      <td>750.0</td>\n",
-       "      <td>2007-02-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>2050.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>154</th>\n",
-       "      <td>SPX150821C02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>12220.0</td>\n",
-       "      <td>2015-06-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPX150821P02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>2670.0</td>\n",
-       "      <td>2015-06-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>14890.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>155</th>\n",
-       "      <td>SPX150821C02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>-8640.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150821P02010000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2010.0</td>\n",
-       "      <td>-2470.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-11110.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>SPX150918C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>12530.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>3980.0</td>\n",
-       "      <td>2015-07-01</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>16510.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>157</th>\n",
-       "      <td>SPX150918C01975000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1975.0</td>\n",
-       "      <td>-12330.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2015.0</td>\n",
-       "      <td>-1390.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-13720.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>158</th>\n",
-       "      <td>SPX151016C02000000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-10-16</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2000.0</td>\n",
-       "      <td>11360.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPX151016P02000000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-10-16</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2000.0</td>\n",
-       "      <td>2360.0</td>\n",
-       "      <td>2015-08-03</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>13720.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>159 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  leg_1                                               \\\n",
-       "               contract underlying expiration  type  strike     cost   \n",
-       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8710.0   \n",
-       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8000.0   \n",
-       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0   8120.0   \n",
-       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -9660.0   \n",
-       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0   1300.0   \n",
-       "..                  ...        ...        ...   ...     ...      ...   \n",
-       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0  12220.0   \n",
-       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0  -8640.0   \n",
-       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12530.0   \n",
-       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12330.0   \n",
-       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0  11360.0   \n",
-       "\n",
-       "                                   leg_2                                     \\\n",
-       "          date order            contract underlying expiration type  strike   \n",
-       "0   2006-12-06   BTO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
-       "1   2007-01-03   STC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
-       "2   2007-01-03   BTO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
-       "3   2007-02-01   STC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
-       "4   2007-02-01   BTO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
-       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
-       "154 2015-06-01   BTO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
-       "155 2015-07-01   STC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
-       "156 2015-07-01   BTO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "157 2015-08-03   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "158 2015-08-03   BTO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
-       "\n",
-       "                               totals  \n",
-       "       cost       date order     cost  \n",
-       "0     880.0 2006-12-06   BTO   9590.0  \n",
-       "1    -460.0 2007-01-03   STC  -8460.0  \n",
-       "2    1190.0 2007-01-03   BTO   9310.0  \n",
-       "3    -200.0 2007-02-01   STC  -9860.0  \n",
-       "4     750.0 2007-02-01   BTO   2050.0  \n",
-       "..      ...        ...   ...      ...  \n",
-       "154  2670.0 2015-06-01   BTO  14890.0  \n",
-       "155 -2470.0 2015-07-01   STC -11110.0  \n",
-       "156  3980.0 2015-07-01   BTO  16510.0  \n",
-       "157 -1390.0 2015-08-03   STC -13720.0  \n",
-       "158  2360.0 2015-08-03   BTO  13720.0  \n",
-       "\n",
-       "[159 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bt.run(monthly=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 248,
-       "width": 405
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
-    "date = bt.trade_log['leg_1']['date']\n",
-    "plt.plot(date, capital);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}