From ebafcd97d91f3d80d9c3b909033bf9352d569398 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Javier=20Rodr=C3=ADguez=20Chatruc?= <jrchatruc@gmail.com>
Date: Mon, 13 Jan 2020 12:45:07 -0300
Subject: [PATCH] Updated backtester demo

---
 backtester/demos/backtester_demo.ipynb | 2526 +++++++++++++++---------
 1 file changed, 1622 insertions(+), 904 deletions(-)

diff --git a/backtester/demos/backtester_demo.ipynb b/backtester/demos/backtester_demo.ipynb
index 006414a..a390216 100644
--- a/backtester/demos/backtester_demo.ipynb
+++ b/backtester/demos/backtester_demo.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,36 +30,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "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"
+    "from backtester import Backtest\n",
+    "from backtester.statistics import monthly_returns_heatmap, returns_histogram, returns_chart"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Cleaned up data\n",
-    "data = HistoricalOptionsData(\"allspx/options_data_v2_pruned_compressed.h5\", key=\"/SPX\")\n",
+    "data = HistoricalOptionsData(\"allspx/options_data_clean_v2.h5\", key=\"/SPX\", where='quotedate >= \"2006-12-06\" & quotedate <= \"2015-08-21\"')\n",
     "schema = data.schema"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data._data = data._data[(data._data['quotedate'] >= '2006-12-06') & (data._data['quotedate'] <= '2015-08-21')]"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -69,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -113,7 +105,7 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:03:56\n"
+      "Total time elapsed: 00:05:02\n"
      ]
     },
     {
@@ -165,103 +157,103 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SXY070120C01350000</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>STO</td>\n",
-       "      <td>SXY070120P01355000</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>-7340.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>SXY070120P01350000</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>STO</td>\n",
-       "      <td>-1570.0</td>\n",
-       "      <td>637.0</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>-420.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-7760.0</td>\n",
+       "      <td>129.0</td>\n",
        "      <td>2006-12-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SXY070120C01340000</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>STO</td>\n",
+       "      <td>1340.0</td>\n",
+       "      <td>-7810.0</td>\n",
+       "      <td>Order.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>STO</td>\n",
-       "      <td>-1320.0</td>\n",
-       "      <td>758.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-8290.0</td>\n",
+       "      <td>121.0</td>\n",
        "      <td>2006-12-07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>SXZ070120C01450000</td>\n",
+       "      <td>SXY070120C01345000</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>STO</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-7400.0</td>\n",
+       "      <td>Order.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>STO</td>\n",
-       "      <td>-980.0</td>\n",
-       "      <td>1021.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-7860.0</td>\n",
+       "      <td>128.0</td>\n",
        "      <td>2006-12-08</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SXY070120C01355000</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>STO</td>\n",
-       "      <td>SXY070120P01365000</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-6850.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>SXY070120P01355000</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>STO</td>\n",
-       "      <td>-990.0</td>\n",
-       "      <td>1011.0</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-440.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-7290.0</td>\n",
+       "      <td>138.0</td>\n",
        "      <td>2006-12-11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SXY070217C01350000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
+       "      <td>2007-02-17</td>\n",
        "      <td>call</td>\n",
-       "      <td>1455.0</td>\n",
-       "      <td>400.0</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXY070120P01365000</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>-8080.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>SXY070217P01350000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
+       "      <td>2007-02-17</td>\n",
        "      <td>put</td>\n",
-       "      <td>1365.0</td>\n",
-       "      <td>340.0</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>740.0</td>\n",
-       "      <td>1011.0</td>\n",
-       "      <td>2006-12-18</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>-560.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-8640.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2006-12-29</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -284,157 +276,157 @@
        "      <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>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>BTC</td>\n",
-       "      <td>10410.0</td>\n",
-       "      <td>74.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1330</th>\n",
+       "      <th>1684</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>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>11410.0</td>\n",
        "      <td>74.0</td>\n",
        "      <td>2015-08-19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1331</th>\n",
+       "      <th>1685</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>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>9910.0</td>\n",
        "      <td>78.0</td>\n",
        "      <td>2015-08-19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1332</th>\n",
+       "      <th>1686</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>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>9415.0</td>\n",
        "      <td>83.0</td>\n",
        "      <td>2015-08-19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1333</th>\n",
+       "      <th>1687</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>BTC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>SPX150918P02005000</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>BTC</td>\n",
-       "      <td>9140.0</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>3130.0</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>8810.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1688</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>6030.0</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>SPX150918P02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>3010.0</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>9040.0</td>\n",
        "      <td>83.0</td>\n",
        "      <td>2015-08-20</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1334 rows × 17 columns</p>\n",
+       "<p>1689 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                   leg_1                                                     \\\n",
-       "                contract underlying expiration  type  strike     cost order   \n",
-       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0  -1110.0   STO   \n",
-       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0   -840.0   STO   \n",
-       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0   -520.0   STO   \n",
-       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0   -410.0   STO   \n",
-       "4     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    400.0   BTC   \n",
-       "...                  ...        ...        ...   ...     ...      ...   ...   \n",
-       "1329  SPX150821C01975000        SPX 2015-08-21  call  1975.0  10390.0   BTC   \n",
-       "1330  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   BTC   \n",
-       "1331  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   BTC   \n",
-       "1332  SPX150821C01985000        SPX 2015-08-21  call  1985.0   9390.0   BTC   \n",
-       "1333  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   BTC   \n",
+       "                   leg_1                                               \\\n",
+       "                contract underlying expiration  type  strike     cost   \n",
+       "0     SXY070120C01350000        SPX 2007-01-20  call  1350.0  -7340.0   \n",
+       "1     SXY070120C01340000        SPX 2007-01-20  call  1340.0  -7810.0   \n",
+       "2     SXY070120C01345000        SPX 2007-01-20  call  1345.0  -7400.0   \n",
+       "3     SXY070120C01355000        SPX 2007-01-20  call  1355.0  -6850.0   \n",
+       "4     SXY070217C01350000        SPX 2007-02-17  call  1350.0  -8080.0   \n",
+       "...                  ...        ...        ...   ...     ...      ...   \n",
+       "1684  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   \n",
+       "1685  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   \n",
+       "1686  SPX150821C01985000        SPX 2015-08-21  call  1985.0   9390.0   \n",
+       "1687  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   \n",
+       "1688  SPX150918C02000000        SPX 2015-09-18  call  2000.0   6030.0   \n",
        "\n",
-       "                   leg_2                                                   \\\n",
-       "                contract underlying expiration type  strike    cost order   \n",
-       "0     SXY070120P01355000        SPX 2007-01-20  put  1355.0  -460.0   STO   \n",
-       "1     SXY070120P01340000        SPX 2007-01-20  put  1340.0  -480.0   STO   \n",
-       "2     SXY070120P01345000        SPX 2007-01-20  put  1345.0  -460.0   STO   \n",
-       "3     SXY070120P01365000        SPX 2007-01-20  put  1365.0  -580.0   STO   \n",
-       "4     SXY070120P01365000        SPX 2007-01-20  put  1365.0   340.0   BTC   \n",
-       "...                  ...        ...        ...  ...     ...     ...   ...   \n",
-       "1329  SPX150821P01975000        SPX 2015-08-21  put  1975.0    20.0   BTC   \n",
-       "1330  SPX150821P01965000        SPX 2015-08-21  put  1965.0    20.0   BTC   \n",
-       "1331  SPX150821P01980000        SPX 2015-08-21  put  1980.0    20.0   BTC   \n",
-       "1332  SPX150821P01985000        SPX 2015-08-21  put  1985.0    25.0   BTC   \n",
-       "1333  SPX150918P02015000        SPX 2015-09-18  put  2015.0  3460.0   BTC   \n",
+       "                              leg_2                                     \\\n",
+       "          order            contract underlying expiration type  strike   \n",
+       "0     Order.STO  SXY070120P01350000        SPX 2007-01-20  put  1350.0   \n",
+       "1     Order.STO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2     Order.STO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3     Order.STO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "4     Order.STO  SXY070217P01350000        SPX 2007-02-17  put  1350.0   \n",
+       "...         ...                 ...        ...        ...  ...     ...   \n",
+       "1684  Order.BTC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
+       "1685  Order.BTC  SPX150821P01980000        SPX 2015-08-21  put  1980.0   \n",
+       "1686  Order.BTC  SPX150821P01985000        SPX 2015-08-21  put  1985.0   \n",
+       "1687  Order.BTC  SPX150918P02005000        SPX 2015-09-18  put  2005.0   \n",
+       "1688  Order.BTC  SPX150918P02000000        SPX 2015-09-18  put  2000.0   \n",
        "\n",
-       "       totals                     \n",
-       "         cost     qty       date  \n",
-       "0     -1570.0   637.0 2006-12-06  \n",
-       "1     -1320.0   758.0 2006-12-07  \n",
-       "2      -980.0  1021.0 2006-12-08  \n",
-       "3      -990.0  1011.0 2006-12-11  \n",
-       "4       740.0  1011.0 2006-12-18  \n",
-       "...       ...     ...        ...  \n",
-       "1329  10410.0    74.0 2015-08-19  \n",
-       "1330  11410.0    74.0 2015-08-19  \n",
-       "1331   9910.0    78.0 2015-08-19  \n",
-       "1332   9415.0    83.0 2015-08-19  \n",
-       "1333   9140.0    83.0 2015-08-20  \n",
+       "                          totals                    \n",
+       "        cost      order     cost    qty       date  \n",
+       "0     -420.0  Order.STO  -7760.0  129.0 2006-12-06  \n",
+       "1     -480.0  Order.STO  -8290.0  121.0 2006-12-07  \n",
+       "2     -460.0  Order.STO  -7860.0  128.0 2006-12-08  \n",
+       "3     -440.0  Order.STO  -7290.0  138.0 2006-12-11  \n",
+       "4     -560.0  Order.STO  -8640.0  116.0 2006-12-29  \n",
+       "...      ...        ...      ...    ...        ...  \n",
+       "1684    20.0  Order.BTC  11410.0   74.0 2015-08-19  \n",
+       "1685    20.0  Order.BTC   9910.0   78.0 2015-08-19  \n",
+       "1686    25.0  Order.BTC   9415.0   83.0 2015-08-19  \n",
+       "1687  3130.0  Order.BTC   8810.0   83.0 2015-08-20  \n",
+       "1688  3010.0  Order.BTC   9040.0   83.0 2015-08-20  \n",
        "\n",
-       "[1334 rows x 17 columns]"
+       "[1689 rows x 17 columns]"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -445,41 +437,163 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "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": {
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+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Strategy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total trades</th>\n",
+       "      <td>842.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of wins</th>\n",
+       "      <td>400.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of losses</th>\n",
+       "      <td>442.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win %</th>\n",
+       "      <td>0.475059</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Largest loss</th>\n",
+       "      <td>528640.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit factor</th>\n",
+       "      <td>0.904977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average profit</th>\n",
+       "      <td>-7624.899050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average P&amp;L %</th>\n",
+       "      <td>-28.214118</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total P&amp;L %</th>\n",
+       "      <td>302.891500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "                       Strategy\n",
+       "Total trades         842.000000\n",
+       "Number of wins       400.000000\n",
+       "Number of losses     442.000000\n",
+       "Win %                  0.475059\n",
+       "Largest loss      528640.000000\n",
+       "Profit factor          0.904977\n",
+       "Average profit     -7624.899050\n",
+       "Average P&L %        -28.214118\n",
+       "Total P&L %          302.891500"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 476,
-       "width": 822
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "capital = short_straddle.initial_capital + (-bt.trade_log['totals']['cost'] * bt.trade_log['totals']['qty']).cumsum()\n",
-    "date = bt.trade_log['totals']['date']\n",
-    "plt.plot(date, capital);"
+    "bt.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
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{\"index\": \"2015-06-05T00:00:00\", \"capital\": -4461995.0, \"cash\": 5617440.0, \"calls value\": -9045050.0, \"puts value\": -1034385.0, \"qty\": 903.0, \"% change\": -0.1295587509485714, \"accumulated return\": -4.461995000000026}, {\"index\": \"2015-06-08T00:00:00\", \"capital\": -3578020.0, \"cash\": 4930200.0, \"calls value\": -7314660.0, \"puts value\": -1193560.0, \"qty\": 820.0, \"% change\": -0.19811205525779385, \"accumulated return\": -3.578020000000021}, {\"index\": \"2015-06-09T00:00:00\", \"capital\": -3485445.0, \"cash\": 4930200.0, \"calls value\": -7346550.0, \"puts value\": -1069095.0, \"qty\": 820.0, \"% change\": -0.025873248332876853, \"accumulated return\": -3.4854450000000203}, {\"index\": \"2015-06-10T00:00:00\", \"capital\": -4922720.0, \"cash\": 4930200.0, \"calls value\": -9199540.0, \"puts value\": -653380.0, \"qty\": 820.0, \"% change\": 0.41236484867785883, \"accumulated return\": -4.922720000000028}, {\"index\": \"2015-06-11T00:00:00\", \"capital\": -4999985.0, \"cash\": 4930200.0, \"calls value\": -9371250.0, \"puts value\": -558935.0, \"qty\": 820.0, \"% change\": 0.015695591055351565, \"accumulated return\": -4.999985000000029}, {\"index\": \"2015-06-12T00:00:00\", \"capital\": -3946650.0, \"cash\": 4930200.0, \"calls value\": -8145030.0, \"puts value\": -731820.0, \"qty\": 820.0, \"% change\": -0.21066763200289595, \"accumulated return\": -3.946650000000023}, {\"index\": \"2015-06-15T00:00:00\", \"capital\": -3569180.0, \"cash\": 4930200.0, \"calls value\": -7597790.0, \"puts value\": -901590.0, \"qty\": 820.0, \"% change\": -0.09564314038488342, \"accumulated return\": -3.5691800000000207}, {\"index\": \"2015-06-16T00:00:00\", \"capital\": -4234785.0, \"cash\": 4930200.0, \"calls value\": -8456740.0, \"puts value\": -708245.0, \"qty\": 820.0, \"% change\": 0.1864868120968961, \"accumulated return\": -4.2347850000000244}, {\"index\": \"2015-06-17T00:00:00\", \"capital\": -4169310.0, \"cash\": 2178330.0, \"calls value\": -5727500.0, \"puts value\": -620140.0, \"qty\": 581.0, \"% change\": -0.01546123356911866, \"accumulated return\": -4.169310000000024}, {\"index\": \"2015-06-18T00:00:00\", \"capital\": -5066950.0, \"cash\": 2178330.0, \"calls value\": -6871040.0, \"puts value\": -374240.0, \"qty\": 581.0, \"% change\": 0.21529701557332026, \"accumulated return\": -5.06695000000003}, {\"index\": \"2015-06-19T00:00:00\", \"capital\": -4498610.0, \"cash\": 2178330.0, \"calls value\": -6197570.0, \"puts value\": -479370.0, \"qty\": 581.0, \"% change\": -0.11216609597489613, \"accumulated return\": -4.498610000000026}, {\"index\": \"2015-06-22T00:00:00\", \"capital\": -4924660.0, \"cash\": 2178330.0, \"calls value\": -6824200.0, \"puts value\": -278790.0, \"qty\": 581.0, \"% change\": 0.094707031727578, \"accumulated return\": -4.924660000000028}, {\"index\": \"2015-06-23T00:00:00\", \"capital\": -4951630.0, \"cash\": 2178330.0, \"calls value\": -6905170.0, \"puts value\": -224790.0, \"qty\": 581.0, \"% change\": 0.005476520206471047, \"accumulated return\": -4.951630000000027}, {\"index\": \"2015-06-24T00:00:00\", \"capital\": -4239010.0, \"cash\": 2178330.0, \"calls value\": -6095270.0, \"puts value\": -322070.0, \"qty\": 581.0, \"% change\": -0.14391624576149675, \"accumulated return\": -4.2390100000000235}, {\"index\": \"2015-06-25T00:00:00\", \"capital\": -4005450.0, \"cash\": 2178330.0, \"calls value\": -5778390.0, \"puts value\": -405390.0, \"qty\": 581.0, \"% change\": -0.05509777046999187, \"accumulated return\": -4.005450000000022}, {\"index\": \"2015-06-26T00:00:00\", \"capital\": -3972080.0, \"cash\": 2178330.0, \"calls value\": -5744260.0, \"puts value\": -406150.0, \"qty\": 581.0, \"% change\": -0.008331148809746725, \"accumulated return\": -3.972080000000022}, {\"index\": \"2015-06-29T00:00:00\", \"capital\": -2837500.0, \"cash\": -1277790.0, \"calls value\": -1312380.0, \"puts value\": -247330.0, \"qty\": 163.0, \"% change\": -0.2856387585345713, \"accumulated return\": -2.8375000000000155}, {\"index\": \"2015-06-30T00:00:00\", \"capital\": -2828290.0, \"cash\": -1277790.0, \"calls value\": -1339950.0, \"puts value\": -210550.0, \"qty\": 163.0, \"% change\": -0.0032458149779736045, \"accumulated return\": -2.8282900000000155}, {\"index\": \"2015-07-01T00:00:00\", \"capital\": -2904830.0, \"cash\": -1277790.0, \"calls value\": -1506210.0, \"puts value\": -120830.0, \"qty\": 163.0, \"% change\": 0.027062288520625533, \"accumulated return\": -2.904830000000016}, {\"index\": \"2015-07-02T00:00:00\", \"capital\": -2926030.0, \"cash\": -276570.0, \"calls value\": -2357640.0, \"puts value\": -291820.0, \"qty\": 237.0, \"% change\": 0.007298189567031432, \"accumulated return\": -2.926030000000016}, {\"index\": \"2015-07-06T00:00:00\", \"capital\": -2772510.0, \"cash\": -735290.0, \"calls value\": -1732340.0, \"puts value\": -304880.0, \"qty\": 148.0, \"% change\": -0.05246699452842252, \"accumulated return\": -2.772510000000015}, {\"index\": \"2015-07-07T00:00:00\", \"capital\": -2847490.0, \"cash\": 272470.0, \"calls value\": -2751920.0, \"puts value\": -368040.0, \"qty\": 226.0, \"% change\": 0.0270440864054593, \"accumulated return\": -2.8474900000000156}, {\"index\": \"2015-07-08T00:00:00\", \"capital\": -2602470.0, \"cash\": 1272950.0, \"calls value\": -3050040.0, \"puts value\": -825380.0, \"qty\": 300.0, \"% change\": -0.08604771219565299, \"accumulated return\": -2.6024700000000145}, {\"index\": \"2015-07-09T00:00:00\", \"capital\": -2681650.0, \"cash\": 2284510.0, \"calls value\": -3952380.0, \"puts value\": -1013780.0, \"qty\": 376.0, \"% change\": 0.030424942458510573, \"accumulated return\": -2.681650000000015}, {\"index\": \"2015-07-10T00:00:00\", \"capital\": -3025100.0, \"cash\": 3296280.0, \"calls value\": -5547640.0, \"puts value\": -773740.0, \"qty\": 459.0, \"% change\": 0.128074133462607, \"accumulated return\": -3.025100000000017}, {\"index\": \"2015-07-13T00:00:00\", \"capital\": -3413690.0, \"cash\": 3296280.0, \"calls value\": -6304430.0, \"puts value\": -405540.0, \"qty\": 459.0, \"% change\": 0.12845525767743204, \"accumulated return\": -3.413690000000019}, {\"index\": \"2015-07-14T00:00:00\", \"capital\": -3677770.0, \"cash\": 3296280.0, \"calls value\": -6646700.0, \"puts value\": -327350.0, \"qty\": 459.0, \"% change\": 0.07735910407799196, \"accumulated return\": -3.6777700000000206}, {\"index\": \"2015-07-15T00:00:00\", \"capital\": -3663020.0, \"cash\": 3296280.0, \"calls value\": -6641280.0, \"puts value\": -318020.0, \"qty\": 459.0, \"% change\": -0.004010582499721305, \"accumulated return\": -3.6630200000000204}, {\"index\": \"2015-07-16T00:00:00\", \"capital\": -4139450.000000001, \"cash\": 645500.0, \"calls value\": -4629180.000000001, \"puts value\": -155770.0, \"qty\": 309.0, \"% change\": 0.13006480991094804, \"accumulated return\": -4.139450000000024}, {\"index\": \"2015-07-17T00:00:00\", \"capital\": -4164080.0, \"cash\": 645500.0, \"calls value\": -4661600.0, \"puts value\": -147980.0, \"qty\": 309.0, \"% change\": 0.00595006583000135, \"accumulated return\": -4.164080000000023}, {\"index\": \"2015-07-20T00:00:00\", \"capital\": -4212690.0, \"cash\": 645500.0, \"calls value\": -4724880.0, \"puts value\": -133310.0, \"qty\": 309.0, \"% change\": 0.011673647000057574, \"accumulated return\": -4.212690000000023}, {\"index\": \"2015-07-21T00:00:00\", \"capital\": -3973280.0, \"cash\": 645500.0, \"calls value\": -4485470.0, \"puts value\": -133310.0, \"qty\": 309.0, \"% change\": -0.05683067113886853, \"accumulated return\": -3.973280000000022}, {\"index\": \"2015-07-22T00:00:00\", \"capital\": -3794760.0, \"cash\": 645500.0, \"calls value\": -4314740.0, \"puts value\": -125520.0, \"qty\": 309.0, \"% change\": -0.04493013329037976, \"accumulated return\": -3.794760000000021}, {\"index\": \"2015-07-23T00:00:00\", \"capital\": -3491420.0, \"cash\": 645500.0, \"calls value\": -3984980.0, \"puts value\": -151940.0, \"qty\": 309.0, \"% change\": -0.0799365440765687, \"accumulated return\": -3.4914200000000197}, {\"index\": \"2015-07-24T00:00:00\", \"capital\": -2973750.0, \"cash\": 645500.0, \"calls value\": -3394230.0, \"puts value\": -225020.0, \"qty\": 309.0, \"% change\": -0.14826918560356528, \"accumulated return\": -2.9737500000000168}, {\"index\": \"2015-07-27T00:00:00\", \"capital\": -2748620.0, \"cash\": 645500.0, \"calls value\": -3098680.0, \"puts value\": -295440.0, \"qty\": 309.0, \"% change\": -0.07570575872215213, \"accumulated return\": -2.748620000000016}, {\"index\": \"2015-07-28T00:00:00\", \"capital\": -3181770.0, \"cash\": 645500.0, \"calls value\": -3685250.0, \"puts value\": -142020.0, \"qty\": 309.0, \"% change\": 0.15758817151879856, \"accumulated return\": -3.1817700000000184}, {\"index\": \"2015-07-29T00:00:00\", \"capital\": -3553150.0, \"cash\": 645500.0, \"calls value\": -4106010.0, \"puts value\": -92640.0, \"qty\": 309.0, \"% change\": 0.11672119606382614, \"accumulated return\": -3.5531500000000205}, {\"index\": \"2015-07-30T00:00:00\", \"capital\": -3605230.0, \"cash\": 1645650.0, \"calls value\": -5059360.0, \"puts value\": -191520.0, \"qty\": 392.0, \"% change\": 0.014657416658457878, \"accumulated return\": -3.6052300000000206}, {\"index\": \"2015-07-31T00:00:00\", \"capital\": -3493300.0, \"cash\": 2651610.0, \"calls value\": -5853510.0, \"puts value\": -291400.0, \"qty\": 475.0, \"% change\": -0.031046562909994635, \"accumulated return\": -3.49330000000002}, {\"index\": \"2015-08-03T00:00:00\", \"capital\": -3142300.0, \"cash\": 3659530.0, \"calls value\": -6400010.0, \"puts value\": -401820.0, \"qty\": 561.0, \"% change\": -0.10047805799673659, \"accumulated return\": -3.1423000000000183}, {\"index\": \"2015-08-04T00:00:00\", \"capital\": -2968780.0, \"cash\": 4668310.0, \"calls value\": -7113040.0, \"puts value\": -524050.0, \"qty\": 647.0, \"% change\": -0.05522069821468356, \"accumulated return\": -2.968780000000017}, {\"index\": \"2015-08-05T00:00:00\", \"capital\": -3366235.0, \"cash\": 5671290.0, \"calls value\": -8460550.0, \"puts value\": -576975.0, \"qty\": 741.0, \"% change\": 0.13387822607266275, \"accumulated return\": -3.366235000000019}, {\"index\": \"2015-08-06T00:00:00\", \"capital\": -2700540.0, \"cash\": 6675770.0, \"calls value\": -8451650.0, \"puts value\": -924660.0, \"qty\": 827.0, \"% change\": -0.19775654403213083, \"accumulated return\": -2.7005400000000153}, {\"index\": \"2015-08-07T00:00:00\", \"capital\": -2315410.0, \"cash\": 7679570.0, \"calls value\": -8967540.0, \"puts value\": -1027440.0, \"qty\": 911.0, \"% change\": -0.14261221829708137, \"accumulated return\": -2.315410000000013}, {\"index\": \"2015-08-10T00:00:00\", \"capital\": -3907405.0, \"cash\": 7679570.0, \"calls value\": -11002460.0, \"puts value\": -584515.0, \"qty\": 911.0, \"% change\": 0.6875650532735023, \"accumulated return\": -3.9074050000000216}, {\"index\": \"2015-08-11T00:00:00\", \"capital\": -2722540.0, \"cash\": 7679570.0, \"calls value\": -9530430.0, \"puts value\": -871680.0, \"qty\": 911.0, \"% change\": -0.30323577924479295, \"accumulated return\": -2.7225400000000146}, {\"index\": \"2015-08-12T00:00:00\", \"capital\": -2791080.0, \"cash\": 7679570.0, \"calls value\": -9610520.0, \"puts value\": -860130.0, \"qty\": 911.0, \"% change\": 0.025175020385375335, \"accumulated return\": -2.7910800000000147}, {\"index\": \"2015-08-13T00:00:00\", \"capital\": -2514815.0, \"cash\": 7679570.0, \"calls value\": -9393970.0, \"puts value\": -800415.0, \"qty\": 911.0, \"% change\": -0.09898139788182347, \"accumulated return\": -2.5148150000000133}, {\"index\": \"2015-08-14T00:00:00\", \"capital\": -2932600.0, \"cash\": 7679570.0, \"calls value\": -9952190.0, \"puts value\": -659980.0, \"qty\": 911.0, \"% change\": 0.16612951648530805, \"accumulated return\": -2.9326000000000154}, {\"index\": \"2015-08-17T00:00:00\", \"capital\": -3679965.0, \"cash\": 7679570.0, \"calls value\": -10864570.0, \"puts value\": -494965.0, \"qty\": 911.0, \"% change\": 0.25484723453590674, \"accumulated return\": -3.6799650000000192}, {\"index\": \"2015-08-18T00:00:00\", \"capital\": -3198570.0, \"cash\": 7679570.0, \"calls value\": -10326880.0, \"puts value\": -551260.0, \"qty\": 911.0, \"% change\": -0.1308151028610326, \"accumulated return\": -3.198570000000017}, {\"index\": \"2015-08-19T00:00:00\", \"capital\": -1875825.0, \"cash\": 4510465.0, \"calls value\": -5575120.0, \"puts value\": -811170.0, \"qty\": 602.0, \"% change\": -0.4135426143557902, \"accumulated return\": -1.87582500000001}, {\"index\": \"2015-08-20T00:00:00\", \"capital\": -1096005.0, \"cash\": 3028915.0, \"calls value\": -2920700.0, \"puts value\": -1204220.0, \"qty\": 436.0, \"% change\": -0.41572108272360164, \"accumulated return\": -1.096005000000006}, {\"index\": \"2015-08-21T00:00:00\", \"capital\": -1439325.0, \"cash\": 3028915.0, \"calls value\": -1810600.0, \"puts value\": -2657640.0, \"qty\": 436.0, \"% change\": 0.3132467461371071, \"accumulated return\": -1.4393250000000077}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_chart(bt.balance)"
    ]
   },
   {
@@ -491,7 +605,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -512,7 +626,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -524,7 +638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [
     {
@@ -532,7 +646,7 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:03:47\n"
+      "Total time elapsed: 00:05:12\n"
      ]
     },
     {
@@ -584,103 +698,103 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SXY070120C01350000</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>BTO</td>\n",
-       "      <td>SXY070120P01355000</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>7520.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SXY070120P01350000</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>BTO</td>\n",
-       "      <td>1780.0</td>\n",
-       "      <td>561.0</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>470.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>7990.0</td>\n",
+       "      <td>125.0</td>\n",
        "      <td>2006-12-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SXY070120C01340000</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>BTO</td>\n",
+       "      <td>1340.0</td>\n",
+       "      <td>7990.0</td>\n",
+       "      <td>Order.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>BTO</td>\n",
-       "      <td>1500.0</td>\n",
-       "      <td>666.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>8560.0</td>\n",
+       "      <td>116.0</td>\n",
        "      <td>2006-12-07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>SXZ070120C01450000</td>\n",
+       "      <td>SXY070120C01345000</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>BTO</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>7580.0</td>\n",
+       "      <td>Order.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>BTO</td>\n",
-       "      <td>1120.0</td>\n",
-       "      <td>892.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>8130.0</td>\n",
+       "      <td>123.0</td>\n",
        "      <td>2006-12-08</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SXY070120C01355000</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>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>BTO</td>\n",
-       "      <td>1100.0</td>\n",
-       "      <td>909.0</td>\n",
-       "      <td>2006-12-11</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>STC</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>7030.0</td>\n",
+       "      <td>Order.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>-420.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-1330.0</td>\n",
-       "      <td>561.0</td>\n",
-       "      <td>2006-12-12</td>\n",
+       "      <td>510.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>7540.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXY070217C01350000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>8130.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SXY070217P01350000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1350.0</td>\n",
+       "      <td>580.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>8710.0</td>\n",
+       "      <td>114.0</td>\n",
+       "      <td>2006-12-29</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -703,157 +817,157 @@
        "      <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>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>BTO</td>\n",
-       "      <td>13910.0</td>\n",
-       "      <td>71.0</td>\n",
-       "      <td>2015-08-07</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>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>STC</td>\n",
-       "      <td>-10840.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>2015-08-19</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>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>STC</td>\n",
-       "      <td>-11835.0</td>\n",
-       "      <td>72.0</td>\n",
-       "      <td>2015-08-19</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1329</th>\n",
+       "      <th>1681</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>STC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
+       "      <td>-8030.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX150918P02005000</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>STC</td>\n",
-       "      <td>-8730.0</td>\n",
-       "      <td>78.0</td>\n",
-       "      <td>2015-08-20</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-1360.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-9390.0</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>2015-08-19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1330</th>\n",
+       "      <th>1682</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>STC</td>\n",
-       "      <td>SPX150918P02020000</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX150918P02000000</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>STC</td>\n",
-       "      <td>-9220.0</td>\n",
-       "      <td>77.0</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-2760.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-8570.0</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1683</th>\n",
+       "      <td>SPX150918C01995000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1995.0</td>\n",
+       "      <td>-6160.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX150918P01995000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1995.0</td>\n",
+       "      <td>-2650.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-8810.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1684</th>\n",
+       "      <td>SPX150918C01990000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1990.0</td>\n",
+       "      <td>-6520.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX150918P01990000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1990.0</td>\n",
+       "      <td>-2530.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-9050.0</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>2015-08-20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1685</th>\n",
+       "      <td>SPX150918C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-5120.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX150918P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-3080.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-8200.0</td>\n",
+       "      <td>89.0</td>\n",
        "      <td>2015-08-20</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1331 rows × 17 columns</p>\n",
+       "<p>1686 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                   leg_1                                                     \\\n",
-       "                contract underlying expiration  type  strike     cost order   \n",
-       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   1230.0   BTO   \n",
-       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0    930.0   BTO   \n",
-       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0    570.0   BTO   \n",
-       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    480.0   BTO   \n",
-       "4     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   -910.0   STC   \n",
-       "...                  ...        ...        ...   ...     ...      ...   ...   \n",
-       "1326  SPX150918C01975000        SPX 2015-09-18  call  1975.0  11190.0   BTO   \n",
-       "1327  SPX150821C01965000        SPX 2015-08-21  call  1965.0 -10830.0   STC   \n",
-       "1328  SPX150821C01955000        SPX 2015-08-21  call  1955.0 -11830.0   STC   \n",
-       "1329  SPX150918C02005000        SPX 2015-09-18  call  2005.0  -5460.0   STC   \n",
-       "1330  SPX150918C02000000        SPX 2015-09-18  call  2000.0  -5810.0   STC   \n",
+       "                   leg_1                                              \\\n",
+       "                contract underlying expiration  type  strike    cost   \n",
+       "0     SXY070120C01350000        SPX 2007-01-20  call  1350.0  7520.0   \n",
+       "1     SXY070120C01340000        SPX 2007-01-20  call  1340.0  7990.0   \n",
+       "2     SXY070120C01345000        SPX 2007-01-20  call  1345.0  7580.0   \n",
+       "3     SXY070120C01355000        SPX 2007-01-20  call  1355.0  7030.0   \n",
+       "4     SXY070217C01350000        SPX 2007-02-17  call  1350.0  8130.0   \n",
+       "...                  ...        ...        ...   ...     ...     ...   \n",
+       "1681  SPX150918C02005000        SPX 2015-09-18  call  2005.0 -8030.0   \n",
+       "1682  SPX150918C02000000        SPX 2015-09-18  call  2000.0 -5810.0   \n",
+       "1683  SPX150918C01995000        SPX 2015-09-18  call  1995.0 -6160.0   \n",
+       "1684  SPX150918C01990000        SPX 2015-09-18  call  1990.0 -6520.0   \n",
+       "1685  SPX150918C02010000        SPX 2015-09-18  call  2010.0 -5120.0   \n",
        "\n",
-       "                   leg_2                                                   \\\n",
-       "                contract underlying expiration type  strike    cost order   \n",
-       "0     SXY070120P01355000        SPX 2007-01-20  put  1355.0   550.0   BTO   \n",
-       "1     SXY070120P01340000        SPX 2007-01-20  put  1340.0   570.0   BTO   \n",
-       "2     SXY070120P01345000        SPX 2007-01-20  put  1345.0   550.0   BTO   \n",
-       "3     SXY070120P01365000        SPX 2007-01-20  put  1365.0   620.0   BTO   \n",
-       "4     SXY070120P01355000        SPX 2007-01-20  put  1355.0  -420.0   STC   \n",
-       "...                  ...        ...        ...  ...     ...     ...   ...   \n",
-       "1326  SPX150918P02045000        SPX 2015-09-18  put  2045.0  2720.0   BTO   \n",
-       "1327  SPX150821P01965000        SPX 2015-08-21  put  1965.0   -10.0   STC   \n",
-       "1328  SPX150821P01955000        SPX 2015-08-21  put  1955.0    -5.0   STC   \n",
-       "1329  SPX150918P02015000        SPX 2015-09-18  put  2015.0 -3270.0   STC   \n",
-       "1330  SPX150918P02020000        SPX 2015-09-18  put  2020.0 -3410.0   STC   \n",
+       "                              leg_2                                     \\\n",
+       "          order            contract underlying expiration type  strike   \n",
+       "0     Order.BTO  SXY070120P01350000        SPX 2007-01-20  put  1350.0   \n",
+       "1     Order.BTO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2     Order.BTO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3     Order.BTO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "4     Order.BTO  SXY070217P01350000        SPX 2007-02-17  put  1350.0   \n",
+       "...         ...                 ...        ...        ...  ...     ...   \n",
+       "1681  Order.STC  SPX150918P02005000        SPX 2015-09-18  put  2005.0   \n",
+       "1682  Order.STC  SPX150918P02000000        SPX 2015-09-18  put  2000.0   \n",
+       "1683  Order.STC  SPX150918P01995000        SPX 2015-09-18  put  1995.0   \n",
+       "1684  Order.STC  SPX150918P01990000        SPX 2015-09-18  put  1990.0   \n",
+       "1685  Order.STC  SPX150918P02010000        SPX 2015-09-18  put  2010.0   \n",
        "\n",
-       "       totals                    \n",
-       "         cost    qty       date  \n",
-       "0      1780.0  561.0 2006-12-06  \n",
-       "1      1500.0  666.0 2006-12-07  \n",
-       "2      1120.0  892.0 2006-12-08  \n",
-       "3      1100.0  909.0 2006-12-11  \n",
-       "4     -1330.0  561.0 2006-12-12  \n",
-       "...       ...    ...        ...  \n",
-       "1326  13910.0   71.0 2015-08-07  \n",
-       "1327 -10840.0   70.0 2015-08-19  \n",
-       "1328 -11835.0   72.0 2015-08-19  \n",
-       "1329  -8730.0   78.0 2015-08-20  \n",
-       "1330  -9220.0   77.0 2015-08-20  \n",
+       "                         totals                    \n",
+       "        cost      order    cost    qty       date  \n",
+       "0      470.0  Order.BTO  7990.0  125.0 2006-12-06  \n",
+       "1      570.0  Order.BTO  8560.0  116.0 2006-12-07  \n",
+       "2      550.0  Order.BTO  8130.0  123.0 2006-12-08  \n",
+       "3      510.0  Order.BTO  7540.0  132.0 2006-12-11  \n",
+       "4      580.0  Order.BTO  8710.0  114.0 2006-12-29  \n",
+       "...      ...        ...     ...    ...        ...  \n",
+       "1681 -1360.0  Order.STC -9390.0   79.0 2015-08-19  \n",
+       "1682 -2760.0  Order.STC -8570.0   79.0 2015-08-20  \n",
+       "1683 -2650.0  Order.STC -8810.0   82.0 2015-08-20  \n",
+       "1684 -2530.0  Order.STC -9050.0   81.0 2015-08-20  \n",
+       "1685 -3080.0  Order.STC -8200.0   89.0 2015-08-20  \n",
        "\n",
-       "[1331 rows x 17 columns]"
+       "[1686 rows x 17 columns]"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -864,29 +978,163 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 88,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Strategy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total trades</th>\n",
+       "      <td>842.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of wins</th>\n",
+       "      <td>298.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of losses</th>\n",
+       "      <td>544.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win %</th>\n",
+       "      <td>0.353919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Largest loss</th>\n",
+       "      <td>998310.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit factor</th>\n",
+       "      <td>0.547794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average profit</th>\n",
+       "      <td>-98444.020190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average P&amp;L %</th>\n",
+       "      <td>-69.427408</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total P&amp;L %</th>\n",
+       "      <td>-8371.902500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "                       Strategy\n",
+       "Total trades         842.000000\n",
+       "Number of wins       298.000000\n",
+       "Number of losses     544.000000\n",
+       "Win %                  0.353919\n",
+       "Largest loss      998310.000000\n",
+       "Profit factor          0.547794\n",
+       "Average profit    -98444.020190\n",
+       "Average P&L %        -69.427408\n",
+       "Total P&L %        -8371.902500"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 476,
-       "width": 819
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "capital = long_straddle.initial_capital + (-bt.trade_log['totals']['cost'] * bt.trade_log['totals']['qty']).cumsum()\n",
-    "date = bt.trade_log['totals']['date']\n",
-    "plt.plot(date, capital);"
+    "bt.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
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\"2015-06-23T00:00:00\", \"capital\": -77771660.0, \"cash\": -83455245.0, \"calls value\": 5536230.0, \"puts value\": 147355.0, \"qty\": 479.0, \"% change\": -0.00030509517947685527, \"accumulated return\": -77.77166000000008}, {\"index\": \"2015-06-24T00:00:00\", \"capital\": -78344955.0, \"cash\": -83455245.0, \"calls value\": 4894900.0, \"puts value\": 215390.0, \"qty\": 479.0, \"% change\": 0.007371515536636286, \"accumulated return\": -78.34495500000008}, {\"index\": \"2015-06-25T00:00:00\", \"capital\": -78537395.0, \"cash\": -83455245.0, \"calls value\": 4640720.0, \"puts value\": 277130.0, \"qty\": 479.0, \"% change\": 0.0024563164277775495, \"accumulated return\": -78.53739500000007}, {\"index\": \"2015-06-26T00:00:00\", \"capital\": -78487925.0, \"cash\": -83455245.0, \"calls value\": 4674960.0, \"puts value\": 292360.0, \"qty\": 479.0, \"% change\": -0.0006298910219775244, \"accumulated return\": -78.48792500000008}, {\"index\": \"2015-06-29T00:00:00\", \"capital\": 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0.000904936581825666, \"accumulated return\": -79.60240500000009}, {\"index\": \"2015-07-07T00:00:00\", \"capital\": -79589825.0, \"cash\": -82465265.0, \"calls value\": 2556820.0, \"puts value\": 318620.0, \"qty\": 215.0, \"% change\": -0.00015803542619097222, \"accumulated return\": -79.58982500000009}, {\"index\": \"2015-07-08T00:00:00\", \"capital\": -79884355.0, \"cash\": -83456425.0, \"calls value\": 2836140.0, \"puts value\": 735930.0, \"qty\": 286.0, \"% change\": 0.0037005986632085985, \"accumulated return\": -79.8843550000001}, {\"index\": \"2015-07-09T00:00:00\", \"capital\": -79891065.0, \"cash\": -84450745.0, \"calls value\": 3656750.0, \"puts value\": 902930.0, \"qty\": 358.0, \"% change\": 8.399642207779223e-05, \"accumulated return\": -79.8910650000001}, {\"index\": \"2015-07-10T00:00:00\", \"capital\": -79625495.0, \"cash\": -85447725.0, \"calls value\": 5146160.0, \"puts value\": 676070.0, \"qty\": 437.0, \"% change\": -0.003324151455485036, \"accumulated return\": -79.6254950000001}, {\"index\": \"2015-07-13T00:00:00\", \"capital\": -79265465.0, \"cash\": -85447725.0, \"calls value\": 5855270.0, \"puts value\": 326990.0, \"qty\": 437.0, \"% change\": -0.004521541749913149, \"accumulated return\": -79.2654650000001}, {\"index\": \"2015-07-14T00:00:00\", \"capital\": -79007405.0, \"cash\": -85447725.0, \"calls value\": 6179100.0, \"puts value\": 261220.0, \"qty\": 437.0, \"% change\": -0.0032556422901196536, \"accumulated return\": -79.0074050000001}, {\"index\": \"2015-07-15T00:00:00\", \"capital\": -79027235.0, \"cash\": -85447725.0, \"calls value\": 6170340.0, \"puts value\": 250150.0, \"qty\": 437.0, \"% change\": 0.00025098913196797135, \"accumulated return\": -79.0272350000001}, {\"index\": \"2015-07-16T00:00:00\", \"capital\": -78577135.0, \"cash\": -85447725.0, \"calls value\": 6707460.0, \"puts value\": 163130.0, \"qty\": 437.0, \"% change\": -0.005695504847158084, \"accumulated return\": -78.5771350000001}, {\"index\": \"2015-07-17T00:00:00\", \"capital\": -78517535.0, \"cash\": -84198835.0, \"calls value\": 5545350.0, \"puts value\": 135950.0, \"qty\": 366.0, \"% change\": -0.0007584903674586752, \"accumulated return\": -78.5175350000001}, {\"index\": \"2015-07-20T00:00:00\", \"capital\": -78491655.0, \"cash\": -84198835.0, \"calls value\": 5588460.0, \"puts value\": 118720.0, \"qty\": 366.0, \"% change\": -0.0003296079022347964, \"accumulated return\": -78.4916550000001}, {\"index\": \"2015-07-21T00:00:00\", \"capital\": -78777775.0, \"cash\": -84198835.0, \"calls value\": 5303050.0, \"puts value\": 118010.0, \"qty\": 366.0, \"% change\": 0.003645228272992851, \"accumulated return\": -78.77777500000009}, {\"index\": \"2015-07-22T00:00:00\", \"capital\": -78985545.0, \"cash\": -84198835.0, \"calls value\": 5106970.0, \"puts value\": 106320.0, \"qty\": 366.0, \"% change\": 0.0026374189928568548, \"accumulated return\": -78.9855450000001}, {\"index\": \"2015-07-23T00:00:00\", \"capital\": -79312105.0, 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-80.0770650000001}, {\"index\": \"2015-08-11T00:00:00\", \"capital\": -80910955.0, \"cash\": -88934055.0, \"calls value\": 7335930.0, \"puts value\": 687170.0, \"qty\": 713.0, \"% change\": 0.010413593455254722, \"accumulated return\": -80.91095500000011}, {\"index\": \"2015-08-12T00:00:00\", \"capital\": -80868015.0, \"cash\": -88934055.0, \"calls value\": 7380530.0, \"puts value\": 685510.0, \"qty\": 713.0, \"% change\": -0.0005307068739950349, \"accumulated return\": -80.86801500000011}, {\"index\": \"2015-08-13T00:00:00\", \"capital\": -81094255.0, \"cash\": -88934055.0, \"calls value\": 7201880.0, \"puts value\": 637920.0, \"qty\": 713.0, \"% change\": 0.002797645026899609, \"accumulated return\": -81.0942550000001}, {\"index\": \"2015-08-14T00:00:00\", \"capital\": -80763355.0, \"cash\": -88934055.0, \"calls value\": 7625640.0, \"puts value\": 545060.0, \"qty\": 713.0, \"% change\": -0.004080437017394134, \"accumulated return\": -80.7633550000001}, {\"index\": \"2015-08-17T00:00:00\", \"capital\": -80241045.0, \"cash\": -88934055.0, \"calls value\": 8298990.0, \"puts value\": 394020.0, \"qty\": 713.0, \"% change\": -0.00646716570900252, \"accumulated return\": -80.2410450000001}, {\"index\": \"2015-08-18T00:00:00\", \"capital\": -80570915.0, \"cash\": -88934055.0, \"calls value\": 7908860.0, \"puts value\": 454280.0, \"qty\": 713.0, \"% change\": 0.004110988335209287, \"accumulated return\": -80.5709150000001}, {\"index\": \"2015-08-19T00:00:00\", \"capital\": -81548155.0, \"cash\": -86581325.0, \"calls value\": 4459240.0, \"puts value\": 573930.0, \"qty\": 492.0, \"% change\": 0.012128942559483269, \"accumulated return\": -81.54815500000011}, {\"index\": \"2015-08-20T00:00:00\", \"capital\": -82187375.0, \"cash\": -83719025.0, \"calls value\": 1165260.0, \"puts value\": 366390.0, \"qty\": 161.0, \"% change\": 0.007838558701910525, \"accumulated return\": -82.1873750000001}, {\"index\": \"2015-08-21T00:00:00\", \"capital\": -82132485.0, \"cash\": -83719025.0, \"calls value\": 732250.0, \"puts value\": 854290.0, \"qty\": 161.0, \"% change\": -0.0006678641336336222, \"accumulated return\": -82.1324850000001}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_chart(bt.balance)"
    ]
   },
   {
@@ -898,7 +1146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -928,7 +1176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -940,7 +1188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [
     {
@@ -948,7 +1196,7 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:06:15\n"
+      "Total time elapsed: 00:07:55\n"
      ]
     },
     {
@@ -1006,123 +1254,123 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPZ080419P00700000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>put</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00740000</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SPT080419P01170000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>...</td>\n",
-       "      <td>SXB090117P00940000</td>\n",
+       "      <td>SXM080419P01520000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>put</td>\n",
-       "      <td>940.0</td>\n",
-       "      <td>14740.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>5325.0</td>\n",
-       "      <td>187.0</td>\n",
-       "      <td>2008-12-01</td>\n",
+       "      <td>1520.0</td>\n",
+       "      <td>22640.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>17080.0</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>2008-03-07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPZ080419P00700000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>put</td>\n",
-       "      <td>200.0</td>\n",
+       "      <td>700.0</td>\n",
        "      <td>-0.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPZ090117P00740000</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPT080419P01170000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>...</td>\n",
-       "      <td>SXB090117P00940000</td>\n",
+       "      <td>SXM080419P01520000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-04-19</td>\n",
        "      <td>put</td>\n",
-       "      <td>940.0</td>\n",
-       "      <td>-11750.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-1520.0</td>\n",
-       "      <td>187.0</td>\n",
-       "      <td>2008-12-02</td>\n",
+       "      <td>1520.0</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>5400.0</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>2008-03-10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>SPV090117P00300000</td>\n",
+       "      <td>SPV081220P00200000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
-       "      <td>300.0</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>200.0</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SPX081220P00815000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>...</td>\n",
-       "      <td>SXB090117P00980000</td>\n",
+       "      <td>SPQ081220P01045000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
-       "      <td>980.0</td>\n",
-       "      <td>14870.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>4830.0</td>\n",
-       "      <td>207.0</td>\n",
-       "      <td>2008-12-02</td>\n",
+       "      <td>1045.0</td>\n",
+       "      <td>15440.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>5505.0</td>\n",
+       "      <td>181.0</td>\n",
+       "      <td>2008-11-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>SPV090117P00300000</td>\n",
+       "      <td>SPV081220P00200000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
-       "      <td>300.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>200.0</td>\n",
+       "      <td>-10.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SPX081220P00815000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>...</td>\n",
-       "      <td>SXB090117P00980000</td>\n",
+       "      <td>SPQ081220P01045000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
-       "      <td>980.0</td>\n",
-       "      <td>-13250.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-2315.0</td>\n",
-       "      <td>207.0</td>\n",
-       "      <td>2008-12-03</td>\n",
+       "      <td>1045.0</td>\n",
+       "      <td>-12150.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-1070.0</td>\n",
+       "      <td>181.0</td>\n",
+       "      <td>2008-11-07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>SPV090117P00200000</td>\n",
+       "      <td>SPV081220P00200000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
        "      <td>200.0</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SPZ090117P00765000</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SPX081220P00830000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>...</td>\n",
-       "      <td>SXB090117P00975000</td>\n",
+       "      <td>SPQ081220P01060000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2009-01-17</td>\n",
+       "      <td>2008-12-20</td>\n",
        "      <td>put</td>\n",
-       "      <td>975.0</td>\n",
-       "      <td>14870.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>4880.0</td>\n",
-       "      <td>204.0</td>\n",
-       "      <td>2008-12-04</td>\n",
+       "      <td>1060.0</td>\n",
+       "      <td>15100.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>6240.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>2008-11-10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1149,14 +1397,14 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>550</th>\n",
+       "      <th>832</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>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150821P01845000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
@@ -1167,20 +1415,20 @@
        "      <td>put</td>\n",
        "      <td>2600.0</td>\n",
        "      <td>-52120.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-49045.0</td>\n",
        "      <td>19.0</td>\n",
        "      <td>2015-08-19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>551</th>\n",
+       "      <th>833</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>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150918P01900000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1191,20 +1439,20 @@
        "      <td>put</td>\n",
        "      <td>2450.0</td>\n",
        "      <td>-41660.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-39960.0</td>\n",
        "      <td>31.0</td>\n",
        "      <td>2015-08-20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>552</th>\n",
+       "      <th>834</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>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150918P01895000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1215,20 +1463,20 @@
        "      <td>put</td>\n",
        "      <td>2500.0</td>\n",
        "      <td>-52480.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-49100.0</td>\n",
        "      <td>27.0</td>\n",
        "      <td>2015-08-21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>553</th>\n",
+       "      <th>835</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>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150918P01890000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1239,20 +1487,20 @@
        "      <td>put</td>\n",
        "      <td>2550.0</td>\n",
        "      <td>-57480.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-54100.0</td>\n",
        "      <td>23.0</td>\n",
        "      <td>2015-08-21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>554</th>\n",
+       "      <th>836</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>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150918P01880000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1263,77 +1511,77 @@
        "      <td>put</td>\n",
        "      <td>2400.0</td>\n",
        "      <td>-42490.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-39160.0</td>\n",
        "      <td>34.0</td>\n",
        "      <td>2015-08-21</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>555 rows × 31 columns</p>\n",
+       "<p>837 rows × 31 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  leg_1                                                \\\n",
-       "               contract underlying expiration type strike  cost order   \n",
-       "0    SPV090117P00200000        SPX 2009-01-17  put  200.0  35.0   BTO   \n",
-       "1    SPV090117P00200000        SPX 2009-01-17  put  200.0  -0.0   STC   \n",
-       "2    SPV090117P00300000        SPX 2009-01-17  put  300.0  40.0   BTO   \n",
-       "3    SPV090117P00300000        SPX 2009-01-17  put  300.0  -5.0   STC   \n",
-       "4    SPV090117P00200000        SPX 2009-01-17  put  200.0  40.0   BTO   \n",
-       "..                  ...        ...        ...  ...    ...   ...   ...   \n",
-       "550  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0   STC   \n",
-       "551  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0   STC   \n",
-       "552  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0   STC   \n",
-       "553  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0   STC   \n",
-       "554  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0   STC   \n",
+       "                  leg_1                                                     \\\n",
+       "               contract underlying expiration type strike  cost      order   \n",
+       "0    SPZ080419P00700000        SPX 2008-04-19  put  700.0  10.0  Order.BTO   \n",
+       "1    SPZ080419P00700000        SPX 2008-04-19  put  700.0  -0.0  Order.STC   \n",
+       "2    SPV081220P00200000        SPX 2008-12-20  put  200.0  55.0  Order.BTO   \n",
+       "3    SPV081220P00200000        SPX 2008-12-20  put  200.0 -10.0  Order.STC   \n",
+       "4    SPV081220P00200000        SPX 2008-12-20  put  200.0  50.0  Order.BTO   \n",
+       "..                  ...        ...        ...  ...    ...   ...        ...   \n",
+       "832  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0  Order.STC   \n",
+       "833  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0  Order.STC   \n",
+       "834  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0  Order.STC   \n",
+       "835  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0  Order.STC   \n",
+       "836  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0  Order.STC   \n",
        "\n",
        "                  leg_2                        ...               leg_4  \\\n",
        "               contract underlying expiration  ...            contract   \n",
-       "0    SPZ090117P00740000        SPX 2009-01-17  ...  SXB090117P00940000   \n",
-       "1    SPZ090117P00740000        SPX 2009-01-17  ...  SXB090117P00940000   \n",
-       "2    SPZ090117P00765000        SPX 2009-01-17  ...  SXB090117P00980000   \n",
-       "3    SPZ090117P00765000        SPX 2009-01-17  ...  SXB090117P00980000   \n",
-       "4    SPZ090117P00765000        SPX 2009-01-17  ...  SXB090117P00975000   \n",
+       "0    SPT080419P01170000        SPX 2008-04-19  ...  SXM080419P01520000   \n",
+       "1    SPT080419P01170000        SPX 2008-04-19  ...  SXM080419P01520000   \n",
+       "2    SPX081220P00815000        SPX 2008-12-20  ...  SPQ081220P01045000   \n",
+       "3    SPX081220P00815000        SPX 2008-12-20  ...  SPQ081220P01045000   \n",
+       "4    SPX081220P00830000        SPX 2008-12-20  ...  SPQ081220P01060000   \n",
        "..                  ...        ...        ...  ...                 ...   \n",
-       "550  SPX150821P01845000        SPX 2015-08-21  ...  SPX150821P02600000   \n",
-       "551  SPX150918P01900000        SPX 2015-09-18  ...  SPX150918P02450000   \n",
-       "552  SPX150918P01895000        SPX 2015-09-18  ...  SPX150918P02500000   \n",
-       "553  SPX150918P01890000        SPX 2015-09-18  ...  SPX150918P02550000   \n",
-       "554  SPX150918P01880000        SPX 2015-09-18  ...  SPX150918P02400000   \n",
+       "832  SPX150821P01845000        SPX 2015-08-21  ...  SPX150821P02600000   \n",
+       "833  SPX150918P01900000        SPX 2015-09-18  ...  SPX150918P02450000   \n",
+       "834  SPX150918P01895000        SPX 2015-09-18  ...  SPX150918P02500000   \n",
+       "835  SPX150918P01890000        SPX 2015-09-18  ...  SPX150918P02550000   \n",
+       "836  SPX150918P01880000        SPX 2015-09-18  ...  SPX150918P02400000   \n",
        "\n",
-       "                                                        totals         \\\n",
-       "    underlying expiration type  strike     cost order     cost    qty   \n",
-       "0          SPX 2009-01-17  put   940.0  14740.0   BTO   5325.0  187.0   \n",
-       "1          SPX 2009-01-17  put   940.0 -11750.0   STC  -1520.0  187.0   \n",
-       "2          SPX 2009-01-17  put   980.0  14870.0   BTO   4830.0  207.0   \n",
-       "3          SPX 2009-01-17  put   980.0 -13250.0   STC  -2315.0  207.0   \n",
-       "4          SPX 2009-01-17  put   975.0  14870.0   BTO   4880.0  204.0   \n",
-       "..         ...        ...  ...     ...      ...   ...      ...    ...   \n",
-       "550        SPX 2015-08-21  put  2600.0 -52120.0   STC -49045.0   19.0   \n",
-       "551        SPX 2015-09-18  put  2450.0 -41660.0   STC -39960.0   31.0   \n",
-       "552        SPX 2015-09-18  put  2500.0 -52480.0   STC -49100.0   27.0   \n",
-       "553        SPX 2015-09-18  put  2550.0 -57480.0   STC -54100.0   23.0   \n",
-       "554        SPX 2015-09-18  put  2400.0 -42490.0   STC -39160.0   34.0   \n",
+       "                                                             totals         \\\n",
+       "    underlying expiration type  strike     cost      order     cost    qty   \n",
+       "0          SPX 2008-04-19  put  1520.0  22640.0  Order.BTO  17080.0   58.0   \n",
+       "1          SPX 2008-04-19  put  1520.0     -0.0  Order.STC   5400.0   58.0   \n",
+       "2          SPX 2008-12-20  put  1045.0  15440.0  Order.BTO   5505.0  181.0   \n",
+       "3          SPX 2008-12-20  put  1045.0 -12150.0  Order.STC  -1070.0  181.0   \n",
+       "4          SPX 2008-12-20  put  1060.0  15100.0  Order.BTO   6240.0  160.0   \n",
+       "..         ...        ...  ...     ...      ...        ...      ...    ...   \n",
+       "832        SPX 2015-08-21  put  2600.0 -52120.0  Order.STC -49045.0   19.0   \n",
+       "833        SPX 2015-09-18  put  2450.0 -41660.0  Order.STC -39960.0   31.0   \n",
+       "834        SPX 2015-09-18  put  2500.0 -52480.0  Order.STC -49100.0   27.0   \n",
+       "835        SPX 2015-09-18  put  2550.0 -57480.0  Order.STC -54100.0   23.0   \n",
+       "836        SPX 2015-09-18  put  2400.0 -42490.0  Order.STC -39160.0   34.0   \n",
        "\n",
        "                \n",
        "          date  \n",
-       "0   2008-12-01  \n",
-       "1   2008-12-02  \n",
-       "2   2008-12-02  \n",
-       "3   2008-12-03  \n",
-       "4   2008-12-04  \n",
+       "0   2008-03-07  \n",
+       "1   2008-03-10  \n",
+       "2   2008-11-06  \n",
+       "3   2008-11-07  \n",
+       "4   2008-11-10  \n",
        "..         ...  \n",
-       "550 2015-08-19  \n",
-       "551 2015-08-20  \n",
-       "552 2015-08-21  \n",
-       "553 2015-08-21  \n",
-       "554 2015-08-21  \n",
+       "832 2015-08-19  \n",
+       "833 2015-08-20  \n",
+       "834 2015-08-21  \n",
+       "835 2015-08-21  \n",
+       "836 2015-08-21  \n",
        "\n",
-       "[555 rows x 31 columns]"
+       "[837 rows x 31 columns]"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1344,29 +1592,163 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Strategy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total trades</th>\n",
+       "      <td>4.170000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of wins</th>\n",
+       "      <td>1.410000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of losses</th>\n",
+       "      <td>2.760000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win %</th>\n",
+       "      <td>3.381295e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Largest loss</th>\n",
+       "      <td>1.303840e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit factor</th>\n",
+       "      <td>5.108696e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average profit</th>\n",
+       "      <td>-1.262168e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average P&amp;L %</th>\n",
+       "      <td>2.489327e+01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total P&amp;L %</th>\n",
+       "      <td>-5.657955e+03</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "                      Strategy\n",
+       "Total trades      4.170000e+02\n",
+       "Number of wins    1.410000e+02\n",
+       "Number of losses  2.760000e+02\n",
+       "Win %             3.381295e-01\n",
+       "Largest loss      1.303840e+06\n",
+       "Profit factor     5.108696e-01\n",
+       "Average profit   -1.262168e+05\n",
+       "Average P&L %     2.489327e+01\n",
+       "Total P&L %      -5.657955e+03"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 476,
-       "width": 813
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "capital = iron_condor.initial_capital + (-bt.trade_log['totals']['cost'] * bt.trade_log['totals']['qty']).cumsum()\n",
-    "date = bt.trade_log['totals']['date']\n",
-    "plt.plot(date, capital);"
+    "bt.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-25\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  (function(spec, embedOpt){\n",
+       "    const outputDiv = document.getElementById(\"altair-viz-25\");\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.0.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function loadScript(lib) {\n",
+       "      return new Promise(function(resolve, reject) {\n",
+       "        var s = document.createElement('script');\n",
+       "        s.src = paths[lib];\n",
+       "        s.async = true;\n",
+       "        s.onload = () => resolve(paths[lib]);\n",
+       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "      });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else if (typeof vegaEmbed === \"function\") {\n",
+       "      displayChart(vegaEmbed);\n",
+       "    } else {\n",
+       "      loadScript(\"vega\")\n",
+       "        .then(() => loadScript(\"vega-lite\"))\n",
+       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"vconcat\": [{\"layer\": [{\"mark\": \"point\", \"encoding\": {\"opacity\": {\"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}}, \"selection\": {\"selector204\": {\"type\": \"single\", \"nearest\": true, \"on\": \"mouseover\", \"fields\": [\"index\"], \"empty\": \"none\"}}}, {\"mark\": \"point\", \"encoding\": {\"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector204\"}, \"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": {\"type\": \"quantitative\", \"axis\": {\"format\": \"%\"}, \"field\": \"accumulated return\"}}}, {\"mark\": {\"type\": \"text\", \"align\": \"left\", \"dx\": 5, \"dy\": -5}, \"encoding\": {\"text\": {\"condition\": {\"type\": \"quantitative\", \"field\": \"accumulated return\", \"format\": \".2%\", \"selection\": \"selector204\"}, \"value\": \" \"}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": 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\"calls value\": -706840.0, \"puts value\": 3759410.0, \"qty\": 109.0, \"% change\": 0.0006383003820329414, \"accumulated return\": -55.98899500000004}, {\"index\": \"2015-07-21T00:00:00\", \"capital\": -55833540.0, \"cash\": -59041565.0, \"calls value\": -636150.0, \"puts value\": 3844175.0, \"qty\": 109.0, \"% change\": -0.002776527780146809, \"accumulated return\": -55.833540000000035}, {\"index\": \"2015-07-22T00:00:00\", \"capital\": -55705430.0, \"cash\": -59041565.0, \"calls value\": -565880.0, \"puts value\": 3902015.0, \"qty\": 109.0, \"% change\": -0.0022944989696157547, \"accumulated return\": -55.705430000000035}, {\"index\": \"2015-07-23T00:00:00\", \"capital\": -55509110.0, \"cash\": -59041565.0, \"calls value\": -489230.0, \"puts value\": 4021685.0, \"qty\": 109.0, \"% change\": -0.0035242524831061717, \"accumulated return\": -55.509110000000035}, {\"index\": \"2015-07-24T00:00:00\", \"capital\": -55143790.0, \"cash\": -59041565.0, \"calls value\": -347610.0, \"puts value\": 4245385.0, \"qty\": 109.0, \"% change\": -0.006581262066713056, \"accumulated return\": -55.14379000000003}, {\"index\": \"2015-07-27T00:00:00\", \"capital\": -54969040.0, \"cash\": -59041565.0, \"calls value\": -293490.0, \"puts value\": 4366015.0, \"qty\": 109.0, \"% change\": -0.0031689878406979677, \"accumulated return\": -54.96904000000003}, {\"index\": \"2015-07-28T00:00:00\", \"capital\": -55315625.0, \"cash\": -59041565.0, \"calls value\": -399920.0, \"puts value\": 4125860.0, \"qty\": 109.0, \"% change\": 0.006305094649642795, \"accumulated return\": -55.315625000000026}, {\"index\": \"2015-07-29T00:00:00\", \"capital\": -55562940.0, \"cash\": -59041565.0, \"calls value\": -488720.0, \"puts value\": 3967345.0, \"qty\": 109.0, \"% change\": 0.004470979040732237, \"accumulated return\": -55.56294000000003}, {\"index\": \"2015-07-30T00:00:00\", \"capital\": -55606995.0, \"cash\": -60020390.0, \"calls value\": -593220.0, \"puts value\": 5006615.0, \"qty\": 140.0, \"% change\": 0.0007928846097777775, \"accumulated return\": -55.60699500000004}, {\"index\": \"2015-07-31T00:00:00\", \"capital\": -55533905.0, \"cash\": -61014935.0, \"calls value\": -641570.0, \"puts value\": 6122600.0, \"qty\": 167.0, \"% change\": -0.0013144029811357205, \"accumulated return\": -55.53390500000004}, {\"index\": \"2015-08-03T00:00:00\", \"capital\": -55303620.0, \"cash\": -61997380.0, \"calls value\": -609400.0, \"puts value\": 7303160.0, \"qty\": 190.0, \"% change\": -0.00414674602839471, \"accumulated return\": -55.30362000000004}, {\"index\": \"2015-08-04T00:00:00\", \"capital\": -55177925.0, \"cash\": -62971080.0, \"calls value\": -608190.0, \"puts value\": 8401345.0, \"qty\": 210.0, \"% change\": -0.002272816860813043, \"accumulated return\": -55.17792500000004}, {\"index\": \"2015-08-05T00:00:00\", \"capital\": -55427690.0, \"cash\": -63933180.0, \"calls value\": -733500.0, \"puts value\": 9238990.0, \"qty\": 228.0, \"% change\": 0.004526538466243624, \"accumulated return\": -55.42769000000004}, {\"index\": \"2015-08-06T00:00:00\", \"capital\": -54964020.0, \"cash\": -64915950.0, \"calls value\": -680740.0, \"puts value\": 10632670.0, \"qty\": 262.0, \"% change\": -0.008365313438102873, \"accumulated return\": -54.96402000000004}, {\"index\": \"2015-08-07T00:00:00\", \"capital\": -54742260.0, \"cash\": -65868350.0, \"calls value\": -639150.0, \"puts value\": 11765240.0, \"qty\": 278.0, \"% change\": -0.00403463938773041, \"accumulated return\": -54.74226000000004}, {\"index\": \"2015-08-10T00:00:00\", \"capital\": -55788425.0, \"cash\": -65868350.0, \"calls value\": -982930.0, \"puts value\": 11062855.0, \"qty\": 278.0, \"% change\": 0.019110738212123612, \"accumulated return\": -55.788425000000046}, {\"index\": \"2015-08-11T00:00:00\", \"capital\": -55037995.0, \"cash\": -65868350.0, \"calls value\": -717650.0, \"puts value\": 11548005.0, \"qty\": 278.0, \"% change\": -0.013451356621019483, \"accumulated return\": -55.037995000000045}, {\"index\": \"2015-08-12T00:00:00\", \"capital\": -55066425.0, \"cash\": -65868350.0, \"calls value\": -730080.0, \"puts value\": 11532005.0, \"qty\": 278.0, \"% change\": 0.0005165522472247996, \"accumulated return\": -55.066425000000045}, {\"index\": \"2015-08-13T00:00:00\", \"capital\": -54936275.0, \"cash\": -65868350.0, \"calls value\": -665470.0, \"puts value\": 11597545.0, \"qty\": 278.0, \"% change\": -0.002363509161889432, \"accumulated return\": -54.936275000000045}, {\"index\": \"2015-08-14T00:00:00\", \"capital\": -55191820.0, \"cash\": -65868350.0, \"calls value\": -728240.0, \"puts value\": 11404770.0, \"qty\": 278.0, \"% change\": 0.004651662312379123, \"accumulated return\": -55.19182000000004}, {\"index\": \"2015-08-17T00:00:00\", \"capital\": -55675550.0, \"cash\": -65868350.0, \"calls value\": -897210.0, \"puts value\": 11090010.0, \"qty\": 278.0, \"% change\": 0.008764523438437033, \"accumulated return\": -55.675550000000044}, {\"index\": \"2015-08-18T00:00:00\", \"capital\": -55375690.0, \"cash\": -65868350.0, \"calls value\": -771330.0, \"puts value\": 11263990.0, \"qty\": 278.0, \"% change\": -0.005385847108829611, \"accumulated return\": -55.37569000000005}, {\"index\": \"2015-08-19T00:00:00\", \"capital\": -54530835.0, \"cash\": -61719745.0, \"calls value\": -324420.0, \"puts value\": 7513330.0, \"qty\": 169.0, \"% change\": -0.015256785062181644, \"accumulated return\": -54.530835000000046}, {\"index\": \"2015-08-20T00:00:00\", \"capital\": -53748255.0, \"cash\": -60480985.0, \"calls value\": -138280.0, \"puts value\": 6871010.0, \"qty\": 138.0, \"% change\": -0.014351146466031528, \"accumulated return\": -53.74825500000005}, {\"index\": \"2015-08-21T00:00:00\", \"capital\": -53134985.0, \"cash\": -56579545.0, \"calls value\": -22220.0, \"puts value\": 3466780.0, \"qty\": 54.0, \"% change\": -0.011410044847037337, \"accumulated return\": -53.13498500000005}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_chart(bt.balance)"
    ]
   },
   {
@@ -1378,7 +1760,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1402,7 +1784,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1414,7 +1796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
@@ -1422,7 +1804,7 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:11\n"
+      "Total time elapsed: 00:00:14\n"
      ]
     },
     {
@@ -1480,17 +1862,17 @@
        "      <td>call</td>\n",
        "      <td>1345.0</td>\n",
        "      <td>-8530.0</td>\n",
-       "      <td>STO</td>\n",
+       "      <td>Order.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>STO</td>\n",
+       "      <td>Order.STO</td>\n",
        "      <td>-9320.0</td>\n",
        "      <td>108.0</td>\n",
-       "      <td>2006-12-01</td>\n",
+       "      <td>2006-12-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1500,17 +1882,17 @@
        "      <td>call</td>\n",
        "      <td>1345.0</td>\n",
        "      <td>8200.0</td>\n",
-       "      <td>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>8740.0</td>\n",
        "      <td>108.0</td>\n",
-       "      <td>2007-01-01</td>\n",
+       "      <td>2007-01-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1520,17 +1902,17 @@
        "      <td>call</td>\n",
        "      <td>1355.0</td>\n",
        "      <td>-7920.0</td>\n",
-       "      <td>STO</td>\n",
+       "      <td>Order.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>STO</td>\n",
+       "      <td>Order.STO</td>\n",
        "      <td>-8950.0</td>\n",
        "      <td>112.0</td>\n",
-       "      <td>2007-01-01</td>\n",
+       "      <td>2007-01-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -1540,36 +1922,36 @@
        "      <td>call</td>\n",
        "      <td>1355.0</td>\n",
        "      <td>9860.0</td>\n",
-       "      <td>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>10140.0</td>\n",
        "      <td>112.0</td>\n",
        "      <td>2007-02-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>SXZ070421C01485000</td>\n",
+       "      <td>SXY070421C01375000</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>STO</td>\n",
+       "      <td>1375.0</td>\n",
+       "      <td>-8730.0</td>\n",
+       "      <td>Order.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>STO</td>\n",
-       "      <td>-1830.0</td>\n",
-       "      <td>547.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-9420.0</td>\n",
+       "      <td>107.0</td>\n",
        "      <td>2007-02-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1593,157 +1975,157 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>154</th>\n",
+       "      <th>188</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>STO</td>\n",
+       "      <td>Order.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>STO</td>\n",
+       "      <td>Order.STO</td>\n",
        "      <td>-14340.0</td>\n",
        "      <td>70.0</td>\n",
        "      <td>2015-06-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>155</th>\n",
+       "      <th>189</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>BTC</td>\n",
+       "      <td>Order.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>BTC</td>\n",
+       "      <td>Order.BTC</td>\n",
        "      <td>11590.0</td>\n",
        "      <td>70.0</td>\n",
        "      <td>2015-07-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>156</th>\n",
+       "      <th>190</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>STO</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>SPX150918P01975000</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>STO</td>\n",
-       "      <td>-15950.0</td>\n",
-       "      <td>63.0</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>-2810.0</td>\n",
+       "      <td>Order.STO</td>\n",
+       "      <td>-15040.0</td>\n",
+       "      <td>67.0</td>\n",
        "      <td>2015-07-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>157</th>\n",
+       "      <th>191</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>BTC</td>\n",
-       "      <td>SPX150918P02015000</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>SPX150918P01975000</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>BTC</td>\n",
-       "      <td>14280.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>2015-08-01</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>1020.0</td>\n",
+       "      <td>Order.BTC</td>\n",
+       "      <td>13740.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>2015-08-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>158</th>\n",
+       "      <th>192</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>STO</td>\n",
+       "      <td>Order.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>STO</td>\n",
+       "      <td>Order.STO</td>\n",
        "      <td>-13180.0</td>\n",
        "      <td>76.0</td>\n",
-       "      <td>2015-08-01</td>\n",
+       "      <td>2015-08-03</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>159 rows × 17 columns</p>\n",
+       "<p>193 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  leg_1                                                     \\\n",
-       "               contract underlying expiration  type  strike     cost order   \n",
-       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8530.0   STO   \n",
-       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8200.0   BTC   \n",
-       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -7920.0   STO   \n",
-       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0   9860.0   BTC   \n",
-       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0  -1140.0   STO   \n",
-       "..                  ...        ...        ...   ...     ...      ...   ...   \n",
-       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0 -11900.0   STO   \n",
-       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0   8940.0   BTC   \n",
-       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12230.0   STO   \n",
-       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12720.0   BTC   \n",
-       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0 -11020.0   STO   \n",
+       "                  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    SXY070421C01375000        SPX 2007-04-21  call  1375.0  -8730.0   \n",
+       "..                  ...        ...        ...   ...     ...      ...   \n",
+       "188  SPX150821C02010000        SPX 2015-08-21  call  2010.0 -11900.0   \n",
+       "189  SPX150821C02010000        SPX 2015-08-21  call  2010.0   8940.0   \n",
+       "190  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12230.0   \n",
+       "191  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12720.0   \n",
+       "192  SPX151016C02000000        SPX 2015-10-16  call  2000.0 -11020.0   \n",
        "\n",
-       "                  leg_2                                                   \\\n",
-       "               contract underlying expiration type  strike    cost order   \n",
-       "0    SXY070217P01345000        SPX 2007-02-17  put  1345.0  -790.0   STO   \n",
-       "1    SXY070217P01345000        SPX 2007-02-17  put  1345.0   540.0   BTC   \n",
-       "2    SXY070317P01355000        SPX 2007-03-17  put  1355.0 -1030.0   STO   \n",
-       "3    SXY070317P01355000        SPX 2007-03-17  put  1355.0   280.0   BTC   \n",
-       "4    SXY070421P01375000        SPX 2007-04-21  put  1375.0  -690.0   STO   \n",
-       "..                  ...        ...        ...  ...     ...     ...   ...   \n",
-       "154  SPX150821P02010000        SPX 2015-08-21  put  2010.0 -2440.0   STO   \n",
-       "155  SPX150821P02010000        SPX 2015-08-21  put  2010.0  2650.0   BTC   \n",
-       "156  SPX150918P02015000        SPX 2015-09-18  put  2015.0 -3720.0   STO   \n",
-       "157  SPX150918P02015000        SPX 2015-09-18  put  2015.0  1560.0   BTC   \n",
-       "158  SPX151016P02000000        SPX 2015-10-16  put  2000.0 -2160.0   STO   \n",
+       "                             leg_2                                             \\\n",
+       "         order            contract underlying expiration type  strike    cost   \n",
+       "0    Order.STO  SXY070217P01345000        SPX 2007-02-17  put  1345.0  -790.0   \n",
+       "1    Order.BTC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   540.0   \n",
+       "2    Order.STO  SXY070317P01355000        SPX 2007-03-17  put  1355.0 -1030.0   \n",
+       "3    Order.BTC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   280.0   \n",
+       "4    Order.STO  SXY070421P01375000        SPX 2007-04-21  put  1375.0  -690.0   \n",
+       "..         ...                 ...        ...        ...  ...     ...     ...   \n",
+       "188  Order.STO  SPX150821P02010000        SPX 2015-08-21  put  2010.0 -2440.0   \n",
+       "189  Order.BTC  SPX150821P02010000        SPX 2015-08-21  put  2010.0  2650.0   \n",
+       "190  Order.STO  SPX150918P01975000        SPX 2015-09-18  put  1975.0 -2810.0   \n",
+       "191  Order.BTC  SPX150918P01975000        SPX 2015-09-18  put  1975.0  1020.0   \n",
+       "192  Order.STO  SPX151016P02000000        SPX 2015-10-16  put  2000.0 -2160.0   \n",
        "\n",
-       "      totals                    \n",
-       "        cost    qty       date  \n",
-       "0    -9320.0  108.0 2006-12-01  \n",
-       "1     8740.0  108.0 2007-01-01  \n",
-       "2    -8950.0  112.0 2007-01-01  \n",
-       "3    10140.0  112.0 2007-02-01  \n",
-       "4    -1830.0  547.0 2007-02-01  \n",
-       "..       ...    ...        ...  \n",
-       "154 -14340.0   70.0 2015-06-01  \n",
-       "155  11590.0   70.0 2015-07-01  \n",
-       "156 -15950.0   63.0 2015-07-01  \n",
-       "157  14280.0   63.0 2015-08-01  \n",
-       "158 -13180.0   76.0 2015-08-01  \n",
+       "                 totals                    \n",
+       "         order     cost    qty       date  \n",
+       "0    Order.STO  -9320.0  108.0 2006-12-06  \n",
+       "1    Order.BTC   8740.0  108.0 2007-01-03  \n",
+       "2    Order.STO  -8950.0  112.0 2007-01-03  \n",
+       "3    Order.BTC  10140.0  112.0 2007-02-01  \n",
+       "4    Order.STO  -9420.0  107.0 2007-02-01  \n",
+       "..         ...      ...    ...        ...  \n",
+       "188  Order.STO -14340.0   70.0 2015-06-01  \n",
+       "189  Order.BTC  11590.0   70.0 2015-07-01  \n",
+       "190  Order.STO -15040.0   67.0 2015-07-01  \n",
+       "191  Order.BTC  13740.0   67.0 2015-08-03  \n",
+       "192  Order.STO -13180.0   76.0 2015-08-03  \n",
        "\n",
-       "[159 rows x 17 columns]"
+       "[193 rows x 17 columns]"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1754,29 +2136,163 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [
     {
      "data": {
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+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Strategy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total trades</th>\n",
+       "      <td>96.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of wins</th>\n",
+       "      <td>55.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of losses</th>\n",
+       "      <td>41.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win %</th>\n",
+       "      <td>0.572917</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Largest loss</th>\n",
+       "      <td>546120.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit factor</th>\n",
+       "      <td>1.341463</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average profit</th>\n",
+       "      <td>26847.187500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average P&amp;L %</th>\n",
+       "      <td>1.398322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total P&amp;L %</th>\n",
+       "      <td>457.901000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "                       Strategy\n",
+       "Total trades          96.000000\n",
+       "Number of wins        55.000000\n",
+       "Number of losses      41.000000\n",
+       "Win %                  0.572917\n",
+       "Largest loss      546120.000000\n",
+       "Profit factor          1.341463\n",
+       "Average profit     26847.187500\n",
+       "Average P&L %          1.398322\n",
+       "Total P&L %          457.901000"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 465,
-       "width": 851
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "capital = short_straddle_monthly.initial_capital + (-bt.trade_log['totals']['cost'] * bt.trade_log['totals']['qty']).cumsum()\n",
-    "date = bt.trade_log['totals']['date']\n",
-    "plt.plot(date, capital);"
+    "bt.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
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-0.056519929549941894, \"accumulated return\": 3.7176700000000036}, {\"index\": \"2012-08-01T00:00:00\", \"capital\": 3709400.0, \"cash\": 4787580.0, \"calls value\": -818740.0, \"puts value\": -259440.0, \"qty\": 94.0, \"% change\": -0.0022245115892480793, \"accumulated return\": 3.7094000000000036}, {\"index\": \"2012-09-04T00:00:00\", \"capital\": 3614880.0, \"cash\": 4695060.0, \"calls value\": -809880.0000000001, \"puts value\": -270300.0, \"qty\": 102.0, \"% change\": -0.025481209899175017, \"accumulated return\": 3.614880000000004}, {\"index\": \"2012-10-01T00:00:00\", \"capital\": 3518160.0, \"cash\": 4599240.0, \"calls value\": -850410.0, \"puts value\": -230670.0, \"qty\": 99.0, \"% change\": -0.02675607489045284, \"accumulated return\": 3.5181600000000035}, {\"index\": \"2012-11-01T00:00:00\", \"capital\": 3722430.0, \"cash\": 4791960.0, \"calls value\": -572880.0, \"puts value\": -496650.0, \"qty\": 231.0, \"% change\": 0.0580616003820178, \"accumulated return\": 3.7224300000000032}, {\"index\": \"2012-12-03T00:00:00\", \"capital\": 4114320.0, \"cash\": 5172660.0, \"calls value\": -682620.0000000001, \"puts value\": -375720.0, \"qty\": 186.0, \"% change\": 0.10527800388455932, \"accumulated return\": 4.114320000000004}, {\"index\": \"2013-01-02T00:00:00\", \"capital\": 3865420.0, \"cash\": 4918700.0, \"calls value\": -847959.9999999999, \"puts value\": -205320.0, \"qty\": 116.0, \"% change\": -0.06049602364424744, \"accumulated return\": 3.8654200000000034}, {\"index\": \"2013-02-01T00:00:00\", \"capital\": 3567680.0, \"cash\": 4616480.0, \"calls value\": -865950.0, \"puts value\": -182850.0, \"qty\": 115.0, \"% change\": -0.07702655856284701, \"accumulated return\": 3.567680000000003}, {\"index\": \"2013-03-01T00:00:00\", \"capital\": 3498990.0, \"cash\": 4581230.0, \"calls value\": -459040.0, \"puts value\": -623200.0, \"qty\": 304.0, \"% change\": -0.019253408377432946, \"accumulated return\": 3.4989900000000027}, {\"index\": \"2013-04-01T00:00:00\", \"capital\": 3542870.0, \"cash\": 4593710.0, \"calls value\": -846720.0000000001, \"puts value\": -204119.99999999997, \"qty\": 108.0, \"% change\": 0.012540761762680042, \"accumulated return\": 3.5428700000000024}, {\"index\": \"2013-05-01T00:00:00\", \"capital\": 3445020.0, \"cash\": 4527770.0, \"calls value\": -344349.99999999994, \"puts value\": -738400.0, \"qty\": 355.0, \"% change\": -0.027618851383200638, \"accumulated return\": 3.445020000000002}, {\"index\": \"2013-06-03T00:00:00\", \"capital\": 3172600.0, \"cash\": 4222180.0, \"calls value\": -786589.9999999999, \"puts value\": -262990.0, \"qty\": 119.0, \"% change\": -0.07907646399730628, \"accumulated return\": 3.172600000000002}, {\"index\": \"2013-07-01T00:00:00\", \"capital\": 3458320.0, \"cash\": 4494160.0, \"calls value\": -825020.0, \"puts value\": -210820.0, \"qty\": 83.0, \"% change\": 0.09005862699363298, \"accumulated return\": 3.458320000000002}, {\"index\": \"2013-08-01T00:00:00\", \"capital\": 4417300.0, \"cash\": 5468180.0, \"calls value\": -810240.0, \"puts value\": -240640.0, \"qty\": 128.0, \"% change\": 0.2772964907816513, \"accumulated return\": 4.417300000000003}, {\"index\": \"2013-09-03T00:00:00\", \"capital\": 4731340.0, \"cash\": 5798750.0, \"calls value\": -650480.0, \"puts value\": -416930.0, \"qty\": 173.0, \"% change\": 0.07109320172956335, \"accumulated return\": 4.731340000000003}, {\"index\": \"2013-10-01T00:00:00\", \"capital\": 4554240.0, \"cash\": 5597420.0, \"calls value\": -847100.0, \"puts value\": -196080.0, \"qty\": 86.0, \"% change\": -0.03743125626143973, \"accumulated return\": 4.554240000000003}, {\"index\": \"2013-11-01T00:00:00\", \"capital\": 4256600.0, \"cash\": 5300600.0, \"calls value\": -879300.0, \"puts value\": -164700.0, \"qty\": 90.0, \"% change\": -0.0653544828555368, \"accumulated return\": 4.256600000000002}, {\"index\": \"2013-12-02T00:00:00\", \"capital\": 3999480.0, \"cash\": 5061640.0, \"calls value\": -754020.0, \"puts value\": -308140.0, \"qty\": 142.0, \"% change\": -0.06040501808955501, \"accumulated return\": 3.9994800000000024}, {\"index\": \"2014-01-02T00:00:00\", \"capital\": 3935540.0, \"cash\": 4973780.0, \"calls value\": -866880.0, \"puts value\": -171359.99999999997, \"qty\": 84.0, \"% change\": -0.015987078320181647, \"accumulated return\": 3.9355400000000023}, {\"index\": \"2014-02-03T00:00:00\", \"capital\": 4208360.0, \"cash\": 5257310.0, \"calls value\": -705960.0, \"puts value\": -342990.0, \"qty\": 111.0, \"% change\": 0.0693221260614807, \"accumulated return\": 4.2083600000000025}, {\"index\": \"2014-03-03T00:00:00\", \"capital\": 3656450.0, \"cash\": 4709330.0, \"calls value\": -766290.0, \"puts value\": -286590.0, \"qty\": 123.0, \"% change\": -0.13114609966827928, \"accumulated return\": 3.656450000000002}, {\"index\": \"2014-04-01T00:00:00\", \"capital\": 3603840.0, \"cash\": 4654840.0, \"calls value\": -843000.0, \"puts value\": -208000.0, \"qty\": 100.0, \"% change\": -0.014388272778241173, \"accumulated return\": 3.603840000000002}, {\"index\": \"2014-05-01T00:00:00\", \"capital\": 3733430.0, \"cash\": 4773950.0, \"calls value\": -864780.0, \"puts value\": -175740.0, \"qty\": 87.0, \"% change\": 0.03595886609838406, \"accumulated return\": 3.7334300000000025}, {\"index\": \"2014-06-02T00:00:00\", \"capital\": 3548180.0, \"cash\": 4615400.0, \"calls value\": -853050.0, \"puts value\": -214170.0, \"qty\": 121.0, \"% change\": -0.04961925093010988, \"accumulated return\": 3.548180000000002}, {\"index\": \"2014-07-01T00:00:00\", \"capital\": 3278430.0, \"cash\": 4326750.0, \"calls value\": -908880.0, \"puts value\": -139440.00000000003, \"qty\": 84.0, \"% change\": -0.07602489163458448, \"accumulated return\": 3.278430000000002}, {\"index\": \"2014-08-01T00:00:00\", \"capital\": 3450630.0, \"cash\": 4487430.0, \"calls value\": -837360.0, \"puts value\": -199440.0, \"qty\": 72.0, \"% change\": 0.052525141607415726, \"accumulated return\": 3.450630000000002}, {\"index\": \"2014-09-02T00:00:00\", \"capital\": 3149400.0, \"cash\": 4200780.0, \"calls value\": -869130.0, \"puts value\": -182250.0, \"qty\": 81.0, \"% change\": -0.08729710226828147, \"accumulated return\": 3.1494000000000018}, {\"index\": \"2014-10-01T00:00:00\", \"capital\": 3372810.0, \"cash\": 4406430.0, \"calls value\": -828000.0, \"puts value\": -205620.0, \"qty\": 69.0, \"% change\": 0.07093732139455144, \"accumulated return\": 3.372810000000002}, {\"index\": \"2014-11-03T00:00:00\", \"capital\": 3116040.0, \"cash\": 4169060.0, \"calls value\": -863580.0, \"puts value\": -189440.0, \"qty\": 74.0, \"% change\": -0.07612939952146724, \"accumulated return\": 3.116040000000002}, {\"index\": \"2014-12-01T00:00:00\", \"capital\": 2984310.0, \"cash\": 4035270.0, \"calls value\": -804750.0, \"puts value\": -246210.0, \"qty\": 87.0, \"% change\": -0.042274810336195956, \"accumulated return\": 2.984310000000002}, {\"index\": \"2015-01-02T00:00:00\", \"capital\": 3032790.0, \"cash\": 4076250.0, \"calls value\": -814440.0, \"puts value\": -229020.00000000003, \"qty\": 66.0, \"% change\": 0.016244961146797854, \"accumulated return\": 3.0327900000000025}, {\"index\": \"2015-02-02T00:00:00\", \"capital\": 3268410.0, \"cash\": 4301310.0, \"calls value\": -801900.0, \"puts value\": -231000.0, \"qty\": 66.0, \"% change\": 0.0776908391283273, \"accumulated return\": 3.2684100000000025}, {\"index\": \"2015-03-02T00:00:00\", \"capital\": 2960410.0, \"cash\": 4003070.0, \"calls value\": -857660.0, \"puts value\": -185000.0, \"qty\": 74.0, \"% change\": -0.09423542334040103, \"accumulated return\": 2.960410000000002}, {\"index\": \"2015-04-01T00:00:00\", \"capital\": 3262090.0, \"cash\": 4315330.0, \"calls value\": -844870.0, \"puts value\": -208370.0, \"qty\": 67.0, \"% change\": 0.1019048037265109, \"accumulated return\": 3.2620900000000024}, {\"index\": \"2015-05-01T00:00:00\", \"capital\": 3200530.0, \"cash\": 4242370.0, \"calls value\": -861120.0, \"puts value\": -180720.0, \"qty\": 72.0, \"% change\": -0.018871337087572715, \"accumulated return\": 3.2005300000000023}, {\"index\": \"2015-06-01T00:00:00\", \"capital\": 3259230.0, \"cash\": 4301530.0, \"calls value\": -855400.0, \"puts value\": -186900.0, \"qty\": 70.0, \"% change\": 0.018340712319522057, \"accumulated return\": 3.2592300000000023}, {\"index\": \"2015-07-01T00:00:00\", \"capital\": 3454050.0, \"cash\": 4497910.0, \"calls value\": -839510.0, \"puts value\": -204350.0, \"qty\": 67.0, \"% change\": 0.05977485479699185, \"accumulated return\": 3.4540500000000023}, {\"index\": \"2015-08-03T00:00:00\", \"capital\": 3536290.0, \"cash\": 4579010.0, \"calls value\": -863360.0, \"puts value\": -179360.0, \"qty\": 76.0, \"% change\": 0.023809730606100032, \"accumulated return\": 3.5362900000000024}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_chart(bt.balance)"
    ]
   },
   {
@@ -1788,7 +2304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1797,7 +2313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1813,7 +2329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1825,7 +2341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1833,7 +2349,7 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:10\n"
+      "Total time elapsed: 00:00:14\n"
      ]
     },
     {
@@ -1885,103 +2401,103 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>SXZ070217C01405000</td>\n",
+       "      <td>SXZ070217C01400000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-02-17</td>\n",
        "      <td>call</td>\n",
-       "      <td>1405.0</td>\n",
-       "      <td>3960.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXZ070217P01405000</td>\n",
+       "      <td>1400.0</td>\n",
+       "      <td>4320.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SXZ070217P01400000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-02-17</td>\n",
        "      <td>put</td>\n",
-       "      <td>1405.0</td>\n",
-       "      <td>2100.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>6060.0</td>\n",
-       "      <td>165.0</td>\n",
-       "      <td>2006-12-01</td>\n",
+       "      <td>1400.0</td>\n",
+       "      <td>1930.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>6250.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>2006-12-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>SXZ070217C01405000</td>\n",
+       "      <td>SXZ070217C01400000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-02-17</td>\n",
        "      <td>call</td>\n",
-       "      <td>1405.0</td>\n",
-       "      <td>-3110.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SXZ070217P01405000</td>\n",
+       "      <td>1400.0</td>\n",
+       "      <td>-3450.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SXZ070217P01400000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-02-17</td>\n",
        "      <td>put</td>\n",
-       "      <td>1405.0</td>\n",
-       "      <td>-1480.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-4590.0</td>\n",
-       "      <td>165.0</td>\n",
-       "      <td>2007-01-01</td>\n",
+       "      <td>1400.0</td>\n",
+       "      <td>-1330.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-4780.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>2007-01-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>SXZ070317C01410000</td>\n",
+       "      <td>SXZ070317C01405000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-03-17</td>\n",
        "      <td>call</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>3940.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXZ070317P01410000</td>\n",
+       "      <td>1405.0</td>\n",
+       "      <td>4270.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SXZ070317P01405000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-03-17</td>\n",
        "      <td>put</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>2470.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>6410.0</td>\n",
-       "      <td>156.0</td>\n",
-       "      <td>2007-01-01</td>\n",
+       "      <td>1405.0</td>\n",
+       "      <td>2310.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>6580.0</td>\n",
+       "      <td>151.0</td>\n",
+       "      <td>2007-01-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>SXZ070317C01410000</td>\n",
+       "      <td>SXZ070317C01405000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-03-17</td>\n",
        "      <td>call</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>-4700.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>SXZ070317P01410000</td>\n",
+       "      <td>1405.0</td>\n",
+       "      <td>-5120.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>SXZ070317P01405000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-03-17</td>\n",
        "      <td>put</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>-680.0</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>-5380.0</td>\n",
-       "      <td>156.0</td>\n",
+       "      <td>1405.0</td>\n",
+       "      <td>-610.0</td>\n",
+       "      <td>Order.STC</td>\n",
+       "      <td>-5730.0</td>\n",
+       "      <td>151.0</td>\n",
        "      <td>2007-02-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>SXZ070721C01475000</td>\n",
+       "      <td>SXZ070421C01435000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2007-07-21</td>\n",
+       "      <td>2007-04-21</td>\n",
        "      <td>call</td>\n",
-       "      <td>1475.0</td>\n",
-       "      <td>4870.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>SXZ070721P01475000</td>\n",
+       "      <td>1435.0</td>\n",
+       "      <td>4120.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>SXZ070421P01435000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>2007-07-21</td>\n",
+       "      <td>2007-04-21</td>\n",
        "      <td>put</td>\n",
-       "      <td>1475.0</td>\n",
-       "      <td>2570.0</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>7440.0</td>\n",
-       "      <td>134.0</td>\n",
-       "      <td>2007-05-01</td>\n",
+       "      <td>1435.0</td>\n",
+       "      <td>1950.0</td>\n",
+       "      <td>Order.BTO</td>\n",
+       "      <td>6070.0</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>2007-02-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -2004,157 +2520,157 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>108</th>\n",
+       "      <th>170</th>\n",
        "      <td>SPX150821C02100000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
        "      <td>call</td>\n",
        "      <td>2100.0</td>\n",
        "      <td>5530.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>SPX150821P02100000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
        "      <td>put</td>\n",
        "      <td>2100.0</td>\n",
        "      <td>5030.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>10560.0</td>\n",
        "      <td>94.0</td>\n",
        "      <td>2015-06-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>109</th>\n",
+       "      <th>171</th>\n",
        "      <td>SPX150821C02100000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
        "      <td>call</td>\n",
        "      <td>2100.0</td>\n",
        "      <td>-2690.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150821P02100000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
        "      <td>put</td>\n",
        "      <td>2100.0</td>\n",
        "      <td>-5420.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-8110.0</td>\n",
        "      <td>94.0</td>\n",
        "      <td>2015-07-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>110</th>\n",
+       "      <th>172</th>\n",
        "      <td>SPX150918C02055000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
        "      <td>call</td>\n",
        "      <td>2055.0</td>\n",
        "      <td>6620.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>SPX150918P02055000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
        "      <td>put</td>\n",
        "      <td>2055.0</td>\n",
        "      <td>5210.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>11830.0</td>\n",
        "      <td>84.0</td>\n",
        "      <td>2015-07-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>111</th>\n",
+       "      <th>173</th>\n",
        "      <td>SPX150918C02055000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
        "      <td>call</td>\n",
        "      <td>2055.0</td>\n",
        "      <td>-5810.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>SPX150918P02055000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
        "      <td>put</td>\n",
        "      <td>2055.0</td>\n",
        "      <td>-2220.0</td>\n",
-       "      <td>STC</td>\n",
+       "      <td>Order.STC</td>\n",
        "      <td>-8030.0</td>\n",
        "      <td>84.0</td>\n",
-       "      <td>2015-08-01</td>\n",
+       "      <td>2015-08-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>112</th>\n",
+       "      <th>174</th>\n",
        "      <td>SPX151016C02075000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-10-16</td>\n",
        "      <td>call</td>\n",
        "      <td>2075.0</td>\n",
        "      <td>5760.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>SPX151016P02075000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-10-16</td>\n",
        "      <td>put</td>\n",
        "      <td>2075.0</td>\n",
        "      <td>4310.0</td>\n",
-       "      <td>BTO</td>\n",
+       "      <td>Order.BTO</td>\n",
        "      <td>10070.0</td>\n",
        "      <td>99.0</td>\n",
-       "      <td>2015-08-01</td>\n",
+       "      <td>2015-08-03</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>113 rows × 17 columns</p>\n",
+       "<p>175 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  leg_1                                                    \\\n",
-       "               contract underlying expiration  type  strike    cost order   \n",
-       "0    SXZ070217C01405000        SPX 2007-02-17  call  1405.0  3960.0   BTO   \n",
-       "1    SXZ070217C01405000        SPX 2007-02-17  call  1405.0 -3110.0   STC   \n",
-       "2    SXZ070317C01410000        SPX 2007-03-17  call  1410.0  3940.0   BTO   \n",
-       "3    SXZ070317C01410000        SPX 2007-03-17  call  1410.0 -4700.0   STC   \n",
-       "4    SXZ070721C01475000        SPX 2007-07-21  call  1475.0  4870.0   BTO   \n",
-       "..                  ...        ...        ...   ...     ...     ...   ...   \n",
-       "108  SPX150821C02100000        SPX 2015-08-21  call  2100.0  5530.0   BTO   \n",
-       "109  SPX150821C02100000        SPX 2015-08-21  call  2100.0 -2690.0   STC   \n",
-       "110  SPX150918C02055000        SPX 2015-09-18  call  2055.0  6620.0   BTO   \n",
-       "111  SPX150918C02055000        SPX 2015-09-18  call  2055.0 -5810.0   STC   \n",
-       "112  SPX151016C02075000        SPX 2015-10-16  call  2075.0  5760.0   BTO   \n",
+       "                  leg_1                                              \\\n",
+       "               contract underlying expiration  type  strike    cost   \n",
+       "0    SXZ070217C01400000        SPX 2007-02-17  call  1400.0  4320.0   \n",
+       "1    SXZ070217C01400000        SPX 2007-02-17  call  1400.0 -3450.0   \n",
+       "2    SXZ070317C01405000        SPX 2007-03-17  call  1405.0  4270.0   \n",
+       "3    SXZ070317C01405000        SPX 2007-03-17  call  1405.0 -5120.0   \n",
+       "4    SXZ070421C01435000        SPX 2007-04-21  call  1435.0  4120.0   \n",
+       "..                  ...        ...        ...   ...     ...     ...   \n",
+       "170  SPX150821C02100000        SPX 2015-08-21  call  2100.0  5530.0   \n",
+       "171  SPX150821C02100000        SPX 2015-08-21  call  2100.0 -2690.0   \n",
+       "172  SPX150918C02055000        SPX 2015-09-18  call  2055.0  6620.0   \n",
+       "173  SPX150918C02055000        SPX 2015-09-18  call  2055.0 -5810.0   \n",
+       "174  SPX151016C02075000        SPX 2015-10-16  call  2075.0  5760.0   \n",
        "\n",
-       "                  leg_2                                                   \\\n",
-       "               contract underlying expiration type  strike    cost order   \n",
-       "0    SXZ070217P01405000        SPX 2007-02-17  put  1405.0  2100.0   BTO   \n",
-       "1    SXZ070217P01405000        SPX 2007-02-17  put  1405.0 -1480.0   STC   \n",
-       "2    SXZ070317P01410000        SPX 2007-03-17  put  1410.0  2470.0   BTO   \n",
-       "3    SXZ070317P01410000        SPX 2007-03-17  put  1410.0  -680.0   STC   \n",
-       "4    SXZ070721P01475000        SPX 2007-07-21  put  1475.0  2570.0   BTO   \n",
-       "..                  ...        ...        ...  ...     ...     ...   ...   \n",
-       "108  SPX150821P02100000        SPX 2015-08-21  put  2100.0  5030.0   BTO   \n",
-       "109  SPX150821P02100000        SPX 2015-08-21  put  2100.0 -5420.0   STC   \n",
-       "110  SPX150918P02055000        SPX 2015-09-18  put  2055.0  5210.0   BTO   \n",
-       "111  SPX150918P02055000        SPX 2015-09-18  put  2055.0 -2220.0   STC   \n",
-       "112  SPX151016P02075000        SPX 2015-10-16  put  2075.0  4310.0   BTO   \n",
+       "                             leg_2                                             \\\n",
+       "         order            contract underlying expiration type  strike    cost   \n",
+       "0    Order.BTO  SXZ070217P01400000        SPX 2007-02-17  put  1400.0  1930.0   \n",
+       "1    Order.STC  SXZ070217P01400000        SPX 2007-02-17  put  1400.0 -1330.0   \n",
+       "2    Order.BTO  SXZ070317P01405000        SPX 2007-03-17  put  1405.0  2310.0   \n",
+       "3    Order.STC  SXZ070317P01405000        SPX 2007-03-17  put  1405.0  -610.0   \n",
+       "4    Order.BTO  SXZ070421P01435000        SPX 2007-04-21  put  1435.0  1950.0   \n",
+       "..         ...                 ...        ...        ...  ...     ...     ...   \n",
+       "170  Order.BTO  SPX150821P02100000        SPX 2015-08-21  put  2100.0  5030.0   \n",
+       "171  Order.STC  SPX150821P02100000        SPX 2015-08-21  put  2100.0 -5420.0   \n",
+       "172  Order.BTO  SPX150918P02055000        SPX 2015-09-18  put  2055.0  5210.0   \n",
+       "173  Order.STC  SPX150918P02055000        SPX 2015-09-18  put  2055.0 -2220.0   \n",
+       "174  Order.BTO  SPX151016P02075000        SPX 2015-10-16  put  2075.0  4310.0   \n",
        "\n",
-       "      totals                    \n",
-       "        cost    qty       date  \n",
-       "0     6060.0  165.0 2006-12-01  \n",
-       "1    -4590.0  165.0 2007-01-01  \n",
-       "2     6410.0  156.0 2007-01-01  \n",
-       "3    -5380.0  156.0 2007-02-01  \n",
-       "4     7440.0  134.0 2007-05-01  \n",
-       "..       ...    ...        ...  \n",
-       "108  10560.0   94.0 2015-06-01  \n",
-       "109  -8110.0   94.0 2015-07-01  \n",
-       "110  11830.0   84.0 2015-07-01  \n",
-       "111  -8030.0   84.0 2015-08-01  \n",
-       "112  10070.0   99.0 2015-08-01  \n",
+       "                 totals                    \n",
+       "         order     cost    qty       date  \n",
+       "0    Order.BTO   6250.0  160.0 2006-12-06  \n",
+       "1    Order.STC  -4780.0  160.0 2007-01-03  \n",
+       "2    Order.BTO   6580.0  151.0 2007-01-03  \n",
+       "3    Order.STC  -5730.0  151.0 2007-02-01  \n",
+       "4    Order.BTO   6070.0  164.0 2007-02-01  \n",
+       "..         ...      ...    ...        ...  \n",
+       "170  Order.BTO  10560.0   94.0 2015-06-01  \n",
+       "171  Order.STC  -8110.0   94.0 2015-07-01  \n",
+       "172  Order.BTO  11830.0   84.0 2015-07-01  \n",
+       "173  Order.STC  -8030.0   84.0 2015-08-03  \n",
+       "174  Order.BTO  10070.0   99.0 2015-08-03  \n",
        "\n",
-       "[113 rows x 17 columns]"
+       "[175 rows x 17 columns]"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2165,41 +2681,185 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
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\n",
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Strategy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total trades</th>\n",
+       "      <td>8.700000e+01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of wins</th>\n",
+       "      <td>1.200000e+01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Number of losses</th>\n",
+       "      <td>7.500000e+01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Win %</th>\n",
+       "      <td>1.379310e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Largest loss</th>\n",
+       "      <td>9.922000e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Profit factor</th>\n",
+       "      <td>1.600000e-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average profit</th>\n",
+       "      <td>-1.373849e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average P&amp;L %</th>\n",
+       "      <td>-inf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total P&amp;L %</th>\n",
+       "      <td>-1.194942e+03</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "                      Strategy\n",
+       "Total trades      8.700000e+01\n",
+       "Number of wins    1.200000e+01\n",
+       "Number of losses  7.500000e+01\n",
+       "Win %             1.379310e-01\n",
+       "Largest loss      9.922000e+05\n",
+       "Profit factor     1.600000e-01\n",
+       "Average profit   -1.373849e+05\n",
+       "Average P&L %             -inf\n",
+       "Total P&L %      -1.194942e+03"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 465,
-       "width": 857
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "capital = strangle.initial_capital + (-bt.trade_log['totals']['cost'] * bt.trade_log['totals']['qty']).cumsum()\n",
-    "date = bt.trade_log['totals']['date']\n",
-    "plt.plot(date, capital);"
+    "bt.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-2\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  (function(spec, embedOpt){\n",
+       "    const outputDiv = document.getElementById(\"altair-viz-2\");\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.0.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function loadScript(lib) {\n",
+       "      return new Promise(function(resolve, reject) {\n",
+       "        var s = document.createElement('script');\n",
+       "        s.src = paths[lib];\n",
+       "        s.async = true;\n",
+       "        s.onload = () => resolve(paths[lib]);\n",
+       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "      });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else if (typeof vegaEmbed === \"function\") {\n",
+       "      displayChart(vegaEmbed);\n",
+       "    } else {\n",
+       "      loadScript(\"vega\")\n",
+       "        .then(() => loadScript(\"vega-lite\"))\n",
+       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"vconcat\": [{\"layer\": [{\"mark\": \"point\", \"encoding\": {\"opacity\": {\"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}}, \"selection\": {\"selector004\": {\"type\": \"single\", \"nearest\": true, \"on\": \"mouseover\", \"fields\": [\"index\"], \"empty\": \"none\"}}}, {\"mark\": \"point\", \"encoding\": {\"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector004\"}, \"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": {\"type\": \"quantitative\", \"axis\": {\"format\": \"%\"}, \"field\": \"accumulated return\"}}}, {\"mark\": {\"type\": \"text\", \"align\": \"left\", \"dx\": 5, \"dy\": -5}, \"encoding\": {\"text\": {\"condition\": {\"type\": \"quantitative\", \"field\": \"accumulated return\", \"format\": \".2%\", \"selection\": \"selector004\"}, \"value\": \" \"}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": 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return\": -8.317440000000001}, {\"index\": \"2013-09-03T00:00:00\", \"capital\": -8434390.0, \"cash\": -9382720.0, \"calls value\": 440339.99999999994, \"puts value\": 507990.0, \"qty\": 123.0, \"% change\": 0.01406081678978155, \"accumulated return\": -8.434390000000002}, {\"index\": \"2013-10-01T00:00:00\", \"capital\": -8527300.0, \"cash\": -9473180.0, \"calls value\": 526440.0, \"puts value\": 419440.00000000006, \"qty\": 107.0, \"% change\": 0.011015615829953251, \"accumulated return\": -8.527300000000002}, {\"index\": \"2013-11-01T00:00:00\", \"capital\": -8516410.0, \"cash\": -9460080.0, \"calls value\": 522410.0, \"puts value\": 421260.0, \"qty\": 119.0, \"% change\": -0.0012770748067969517, \"accumulated return\": -8.516410000000002}, {\"index\": \"2013-12-02T00:00:00\", \"capital\": -8550150.0, \"cash\": -9497670.0, \"calls value\": 500640.0, \"puts value\": 446880.0, \"qty\": 112.0, \"% change\": 0.003961763231220772, \"accumulated return\": -8.550150000000004}, {\"index\": \"2014-01-02T00:00:00\", \"capital\": -8680450.0, \"cash\": -9630850.0, \"calls value\": 542300.0, \"puts value\": 408100.0, \"qty\": 110.0, \"% change\": 0.015239498722244615, \"accumulated return\": -8.680450000000004}, {\"index\": \"2014-02-03T00:00:00\", \"capital\": -8606850.0, \"cash\": -9567150.0, \"calls value\": 524700.0, \"puts value\": 435600.0, \"qty\": 90.0, \"% change\": -0.00847882310248893, \"accumulated return\": -8.606850000000003}, {\"index\": \"2014-03-03T00:00:00\", \"capital\": -8390250.0, \"cash\": -9349950.0, \"calls value\": 530250.0, \"puts value\": 429450.0, \"qty\": 105.0, \"% change\": -0.025166001498806212, \"accumulated return\": -8.390250000000004}, {\"index\": \"2014-04-01T00:00:00\", \"capital\": -8555220.0, \"cash\": -9505380.0, \"calls value\": 518370.0, \"puts value\": 431790.0, \"qty\": 111.0, \"% change\": 0.0196621078037007, \"accumulated return\": -8.555220000000004}, {\"index\": \"2014-05-01T00:00:00\", \"capital\": -8818640.0, \"cash\": 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0.01821107956520107, \"accumulated return\": -9.521750000000003}, {\"index\": \"2015-02-02T00:00:00\", \"capital\": -9757340.0, \"cash\": -10728540.0, \"calls value\": 501600.0, \"puts value\": 469600.0, \"qty\": 80.0, \"% change\": 0.024742300522488048, \"accumulated return\": -9.757340000000003}, {\"index\": \"2015-03-02T00:00:00\", \"capital\": -9773740.0, \"cash\": -10722740.0, \"calls value\": 522000.0, \"puts value\": 427000.0, \"qty\": 100.0, \"% change\": 0.001680785951909014, \"accumulated return\": -9.773740000000002}, {\"index\": \"2015-04-01T00:00:00\", \"capital\": -10012730.0, \"cash\": -10963080.0, \"calls value\": 537010.0, \"puts value\": 413340.0, \"qty\": 83.0, \"% change\": 0.024452256761485325, \"accumulated return\": -10.012730000000001}, {\"index\": \"2015-05-01T00:00:00\", \"capital\": -10197350.0, \"cash\": -11147950.0, \"calls value\": 518950.0, \"puts value\": 431650.0, \"qty\": 97.0, \"% change\": 0.018438527754168987, \"accumulated return\": -10.197350000000002}, {\"index\": \"2015-06-01T00:00:00\", \"capital\": -10453750.0, \"cash\": -11395630.0, \"calls value\": 495380.0, \"puts value\": 446500.0, \"qty\": 94.0, \"% change\": 0.02514378735651901, \"accumulated return\": -10.453750000000001}, {\"index\": \"2015-07-01T00:00:00\", \"capital\": -10683690.0, \"cash\": -11627010.0, \"calls value\": 530040.0, \"puts value\": 413280.0, \"qty\": 84.0, \"% change\": 0.02199593447327519, \"accumulated return\": -10.683690000000002}, {\"index\": \"2015-08-03T00:00:00\", \"capital\": -11003970.0, \"cash\": -11949420.0, \"calls value\": 543510.0, \"puts value\": 401940.0, \"qty\": 99.0, \"% change\": 0.02997840633713622, \"accumulated return\": -11.00397}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_chart(bt.balance)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now run a monthly short strangle with different OTM percentages and plot the capital over time for each of them."
+    "We now run a monthly short strangle over the entire data with different OTM percentages and plot the capital over time for each of them."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = HistoricalOptionsData(\"allspx/options_data_clean_v2.h5\", key=\"/SPX\")\n",
+    "schema = data.schema"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2208,7 +2868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -2216,23 +2876,23 @@
      "output_type": "stream",
      "text": [
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:10\n",
+      "Total time elapsed: 00:00:52\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:11\n",
+      "Total time elapsed: 00:00:49\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:11\n",
+      "Total time elapsed: 00:00:47\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:11\n",
+      "Total time elapsed: 00:00:48\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:11\n",
+      "Total time elapsed: 00:00:53\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:10\n",
+      "Total time elapsed: 00:00:49\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:10\n",
+      "Total time elapsed: 00:00:37\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:09\n",
+      "Total time elapsed: 00:00:36\n",
       "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:09\n"
+      "Total time elapsed: 00:00:35\n"
      ]
     }
    ],
@@ -2241,173 +2901,231 @@
     "bt.data = data\n",
     "bt.stop_if_broke = False\n",
     "trade_logs = []\n",
+    "summaries = []\n",
+    "balances = []\n",
     "for otm_pct in otm_percentages:\n",
     "    strangle = Strangle(schema, 'short', 'SPX', dte_entry_range=(61,90), dte_exit=60, otm_pct=otm_pct, pct_tolerance=1)\n",
     "    bt.strategy = strangle\n",
     "    bt.run(monthly=True)\n",
-    "    trade_logs.append(bt.trade_log)"
+    "    trade_logs.append(bt.trade_log)\n",
+    "    summaries.append(bt.summary())\n",
+    "    balances.append(bt.balance)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
-    "capitals = []\n",
-    "dates = []\n",
-    "for trade_log in trade_logs:\n",
-    "    capital = strangle.initial_capital + (-trade_log['totals']['cost'] * trade_log['totals']['qty']).cumsum()\n",
-    "    capital.index = trade_log['totals']['date']\n",
-    "    capitals.append(capital)"
+    "import altair as alt"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-21\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  (function(spec, embedOpt){\n",
+       "    const outputDiv = document.getElementById(\"altair-viz-21\");\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.0.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function loadScript(lib) {\n",
+       "      return new Promise(function(resolve, reject) {\n",
+       "        var s = document.createElement('script');\n",
+       "        s.src = paths[lib];\n",
+       "        s.async = true;\n",
+       "        s.onload = () => resolve(paths[lib]);\n",
+       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "      });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else if (typeof vegaEmbed === \"function\") {\n",
+       "      displayChart(vegaEmbed);\n",
+       "    } else {\n",
+       "      loadScript(\"vega\")\n",
+       "        .then(() => loadScript(\"vega-lite\"))\n",
+       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"vconcat\": [{\"layer\": [{\"mark\": \"point\", \"encoding\": {\"opacity\": {\"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}}, \"selection\": {\"selector184\": {\"type\": \"single\", \"nearest\": true, \"on\": \"mouseover\", \"fields\": [\"index\"], \"empty\": \"none\"}}}, {\"mark\": \"point\", \"encoding\": {\"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector184\"}, \"value\": 0}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": {\"type\": \"quantitative\", \"axis\": {\"format\": \"%\"}, \"field\": \"accumulated return\"}}}, {\"mark\": {\"type\": \"text\", \"align\": \"left\", \"dx\": 5, \"dy\": -5}, \"encoding\": {\"text\": {\"condition\": {\"type\": \"quantitative\", \"field\": \"accumulated return\", \"format\": \".2%\", \"selection\": \"selector184\"}, \"value\": \" \"}, \"x\": {\"type\": \"temporal\", \"field\": \"index\"}, \"y\": 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+       "</script>"
+      ],
       "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
+       "alt.VConcatChart(...)"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 851
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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\n",
-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 851
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 826
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 826
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 826
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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JajxgOkpPidfaJflmXXOxW9UNXRZ2BAAApjJCGAAAAACIgMNngltOTJIOfNEU1LJk+X4hjMfrVWvXYNA9AdPRtmvnBNTMhgEAAJNFCAMAAAAAEXDuUrc6eoaCHueFdys1MOQa+8QR+C9HJklNLEkGjKgwJ0VLF8wy68NnWtTcwecFAABMHCEMAAAAAETIkargN/hu7x7S7z6smdS1/suRSYQwwGi2XTfXfO2VtOtQg3XNAACAKYsQBgAAAAAiZDL7wozkg8MXVNXQOeHr0pPjFB9nN+umjoGQ9ANMR4uLM1WUk2LWHx+/qP7Byc1CAwAAMxchDAAAAABESGV9p/oGnZO6NjkhxnztlfTcH0/L6fJMaAzDMAKWJGtkJgxwVYZhaNt1vr1hHE6PuvocFnYEAACmIkIYAAAAAIgQt8erY9Wtk7q2pDBd1y3KNetLbf1685PaCY+Tl+lbkow9LoDRXb84TxkpcVa3AQAApjBCGAAAAACIoCNnJhfCSNIjW8oDZsS8vb9ODc29ExrDf1+Ytu4hOZzuSfcDTHcxdptuWV1kdRsAAGAKI4QBAAAAgAg6fq5t0sFHenKcHr6lzKzdHq+ee+e0PB7vuMfwX45Mkpo72RcGGM3GlYWKj7WPfSIAAMAICGEAAAAAIIIcTo9Onmuf9PXrluZrybxMsz57sVu7P2sY9/X5fjNhJKmJfWGAUSUnxOqm5QVWtwEAAKYoQhgAAAAAiLDDZ1omfa1hGHr8toWKi/X9c+73H9WodZwzWvKGhzAdzIQBxnLrtXNkGFZ3AQAApiJCGAAAAACIgKKcZPP10epWuT2eSY+Vk5Go7esXmLXD6dGvdlbK6x17WbKUxNiAfWUamQkDjCk3I1GrynOsbgMAAExBhDAAAAAAEAH+D3D7Bl06c74rqPG2rJmj+QWpZn3yXLs+OdE4rmv9lyRrJoQBxmXbdXOtbgEAAExBhDAAAAAAEAErywK/RR/MkmSSZLMZ+trti2S3+dZIevm9KnX3Oca8NjfTF8I0shwZMC6lhelaODfDrOfmpVjYDQAAmCoIYQAAAAAgAjJT4wNmrhypahnX8mGjmZObotvXFpt136BLO3afGfO6/FmJ5uvuPocGhlxB9QHMFH/71aXasrpId62bpy2r51jdDgAAmAIIYQAAAAAgQvyXJGvvHlJdU0/QY961rjhgebGDp5p1tLp11Gvy/M6XpKYOliQDxiM1KU5/cWu57t2wQPFxdqvbAQAAUwAhDAAAAABEyPCNvYNdkkySYmPs+trtCwOOvbCzctTZLXmZw0KYdpYkQ/Tzer36+NhF/f6jswSHAABgyiCEAQAAAIAIKchKVkGWLwA5fGb0GSvjVT4nQ5tWFZp1R8+QXv2w5qrn52YmBtRN7TzQRvTbd7JRv/zjab35Sa2+/4uD+uOBOrk9HqvbAgAAGBUhDAAAAABEkP9smIutfWoMUQBy/80lykyNN+sPDl/Q+ebeEc9NjI9RekqcWTcyqwBTwMfHLpmvnS6PXvmgRv/thc/U0DLy7zkAAEA0IIQBAAAAgAhaWRb6Jcmky8HKY9sqAo519Axd9Xz/JclYjgzRrrvfoTMNnVccP3epR0//8pD+sPecXG5mxQAAgOhDCAMAAAAAETSvIDVgxsqREIUwkrSiNFvXLcod17n5s3xLkjW198vr9YasDyDUjlW1yv9X1GYY5mu3x6vX9p7TD577VLWN3RZ0BwAAcHWEMAAAAAAQQTbD0MqybLOuudg96oyVifqLLeVKTogZ8zz/mTD9Qy71DjhD1gMQav4zxhLi7PqXb16vJfMyA85paOnVv/zqM726p0ZOlzvSLQIAAIyIEAYAAAAAIsx/XxhJOloVutkwaclxeviWsjHPy5uVFFCzJBmi1aDDpZO1HWa9vCRL+bOS9I8PrdDXb1+oxHhf6OjxevX2/jr9H/9xSNUNXVa0CwAAEIAQBgAAAAAirHxORsBslVDtC/OldUvztWT+rFHPyctMDKibOvpD2gMQKifOtgfs9/LlvkqGYWj9NbP1L09erxWl2QHXNLb364e//kw7dp/RkINZMQAAwDqEMAAAAAAQYTF2m5aX+B4an67vVP9g6JYDMwxDT2yrUFys7598sTGB//zLzUyU4Vc3thPCIDr5h5QxdkPLS7IC3s9MjddT9y3TX9+9WCmJseZxr6Tdnzbon39xQKdq2yPVLgAAQABCGAAAAACwgP+SZG6PV8dq2kI6fnZGov7y1nJ9uX/5DUvyA96PjbFrVlqCWTd1sBwZoo/L7Qn4bCwqnhWw/NiXDMPQ2sX5+pcnr9d1i3ID3mvtGtT/8/JRfXDkQtj7BQAAGG7s3RoBAAAAACG3dMEsxcXY5HBdXmbp8JmWK4KSYK1fPltlRRlyuz0qzEm54v38WYlq6x6UJDUxEwZR6HRdhwaGXGa9qjx7lLMv74n0N/cs1XWLWvTCzkp19TnM91q7BsPWJwAAwNUwEwYAAAAALBAfaw/Yt+X42TY5nKHfuyJ/VtKIAYwk5c5KMl83dfTL6/WG/P5AMA5XtZqvDUkrynKufrKfVeU5+pdvXq8bl4U22AQAAJgoQhgAAAAAsIj/kmQOp0cnI7xvRX6mL4RxOD3q7HWMcjYQWR6vV0eqfPvBlBSlKz05btzXJyfE6q++slj/8OA1mpUWH/CeIclmjHwdAABAKBHCAAAAAIBFrinNls3wPQk+cqZ1lLNDL29WYkDNkmSIJmcvdqvLLxhcNc5ZMMMtW5Cl//pX12vTykLz2PKSLMXG2IPuEQAAYCzsCQMAAAAAI/B6vTp4qlkXW/u0aVWhMlLix75oglISY1UxN0On6jokSUerW+X2eGS3Reb7cnl+y5FJUmNHvxYWZ15xnsfjlWFc3vwc+P/Zu8/4OOsr//vfa2bUe7ctF7lINrblBqbYoQWCA8E0kwBLSF2y2RCTQnb3/997s/tK9t7sbgKkmGSTvO4kJMEEQg0JkFCWFgPBtlxkuUguki3Z6qMuzWhmrvuBwzUzsvo0afR5P5rfb65ybDRGM2fOOdFSUd0StF63dHJJGElKSXLork1LdfUFc9XY1qfyxXmhhgcAADAuVMIAAAAAwDAqj7fpJ89V6fdv1+rff7kraMB3OAW2JOvpH1TNqc6I3Gc4+VnJsgf0ZGpu7z/nmKffPK67v/2avvXr3Rpwe855HogE0zSDkjBzC9JVmJ0yyhnjMzsvTWvLCuSw83EIAACIDn7rAAAAAIBhHD/dZT12drv0P89UyuP1hf0+a0vzg9ZDv/0fSXabTfkBH2w3DmlH5nJ79eK7dTIlHTvdpV2Hoxcbpp6j9Z164vWjOtYQ+UTh6dZeNTv9ScF1ZfmjHA0AADB1kYQBAAAAgHGoru/UY6/WhP26uZnJKpmVYa331LTINM2w32ckRTn+JEyTc0gSZtArr88fy5n23qjFhamlrXNA9z++Ry++e1LfeWyPmjvOrZoKp3NakZVNvhUZAABALJGEAQAAAIBx+t+KBr21/3TYrxv4AXNbl0snm3rCfo+RzAqYC9PS0S+fb+QEUFvnQDRCwhT03qEmuQfPVoK5B316ZdepiN6vorrVepyflax5hekRvR8AAECkhD0J09TUpPPPP18PP/zwuM/p6OjQN7/5TX3wgx/U6tWrdcstt+iFF14Id2gAAAAAELJf/+lIUKuycBj6Lf/dUWxJFlgJ4/GaausaOdHSShJmxqqoCf6Z/PP+M+p3RWZGUGtnv+qauq31urICGYYxyhkAAABTV1iTML29vdq6dat6esb/ra2+vj595jOf0aOPPqrVq1frzjvvVFdXl77yla/okUceCWd4AAAAABAyj9fUD5+pVGePK2zXnJOfFlSRsieaSZiA+0pS05C5MIFIwsxMHT0uHWsITjwOuL16a1/4q8IkaU9Na9B66NwkAACA6SRsSQSYFEQAACAASURBVJiGhgbddddd2rdv34TO+9WvfqWqqip9/etf13e/+1394z/+o5599lmVlpbq/vvvV1tbW7hCBAAAAIBJW704z3rs7HbpR88ekMfrC9v1A6thGlp7R02GhFNRzpAkjHPkWR9dvW65B72RDglTzNCkyPte2V0/avu6Sd8vIAmZkZqg0rnZYb8HAABAtIQlCfPwww9r8+bNOnz4sC6++OIJnfvoo48qPz9ft99+u7WXnp6uz3/+8+rv79fvf//7cIQIAAAAACG5e/OKoKqRmvpO/ebVmrBdf21Z8Lf9h7Z/ipSczCQlOPxvDRvHSP6M1q4M8alihMqs1s6BERM0k9Xd59aRUx3Wes2SfNlstCIDAADTV1iSML/61a9UXFysRx55RDfeeOO4zzt58qQ1Q8Zutwc9d9FFF0mSdu7cGY4QAQAAACAkqckObb2lXMmJ/vcur1U0hK0l08LZmcpOT7TWI33wHW42wwiaC9PkHCMJQ0uyGaVvYFCH65zWenlJjuwBSZGXd54M6/32Hm2VGVBcM3ReEgAAwHQTliTMN77xDT377LNat27dhM47efLsL2vz588/57mCggIlJSWptrY2HCECAAAAQMjm5Kfp7uuXB+39+qUjOna6M+Rr2wxDawM+cD7W0KXOXnfI1x2PwJZkY7VBYy7MzLL/WJu8AS3HrlhTrIuWF1nr6vpO1TZ2DXfqpOyp9lfWJCXatbwkJ2zXBgAAiAVHOC5y6aWXTuq8jo6zJcaZmZnDPp+enq7u7u5JxyVJBQUZIZ0PjAc/Z0AwXhPAWbwWAL/p+HpIS0sKWr//Z7imIEMt3W499vIRSZLHa+p/nq3S975yuXIyk63j09OTg87Py0tXdkbwNYf64Pr5eq2iwVo7u13W48RER8T+HhfOzdbuv1betHUOKDsnTQkOmxKSXecc2zfom5b/PaeS6fT3V1V32Hqc6LDpygsXqHRhnt4+0Gjtv1XZqPXlxSHfq9/lUVVtu7W+4LwizZnNPJh4N51eD0Ck8XoAzoq310JYKmEmy+PxSJISExOHfT4xMVEu17m/9AMAAABALN1xzVJduHyWtW7vGtB//nKnBj2+kK67cnG+0lISQg1vwubkp1mPfabU2NY74rHNY1TKIH64Br3afbjJWq9dWqjkJIeWzM3WikV51v5bexvUHoZZQRVHmoNeQ5esnB3yNQEAAGItLJUwk5WUdPZbYG738CX2brdbqampwz43Xi0toVXSAKN5PyvLzxlwFq8J4CxeC4DfdH499PYGfyFs6J/hE9eU6WRjlzXI/lBtu7Y9VqG7Ni2VJPX0BH8o3dbWo8GBsduLrVqUq3eqms7Zd7s9Eft7TE0I/n7e4WOtSrZJXcO0Q2to7p6W/z2ngun2ethb06oBt9dar1iQY8V+xeo5qjreJulsNdgTLx/RLZctCul+r+/yz5ex2wyVFKRNm78rTNx0ez0AkcTrAThrqr8WJluhE9NKmKysLElST0/PsM/39PQoPT09miEBAAAAwLikJju0dUu5khPt1t5rexr05r7TIV03FoPIi3KDv/zWOEq1CzNhZo6KmhbrsWFIa0rzrfXa0nzlZ/lb7r2+p0HuQa8my+P1ad/RNmt9XkmOUpNj+r1RAACAsIhpEqakpESSVF9ff85zzc3NcrlcWrhwYZSjAgAAAIDxmZ2Xprs3Lw/ae+SlIzrW0Dnpa65cmKcER3TfqmWmJiglyZ9ManaOnITp7HWH9GE7pgevz6e9Na3Weum8bKUHtMqz2QxdfcE8a93TP6h3D55bwTVeh0861e/yWOt1pdFPRgIAAERCTJMwc+bM0Zw5c7R79275fMG9k9977z1J0tq1a2MRGgAAAACMy9rSAt2wscRae7ymfvhMpTp7xm49NpykRLtWLswNU3TjYxiGCnP81TCjVcJIUlsY5n9gajta36me/kFrvXaYCq1LV80OqgR7eecpmaY5qfvtqfYnfAydrbQBAACIBzFNwkjSDTfcoMbGRj3yyCPWXk9Pj3784x8rOTlZN954YwyjAwAAAICx3fCBhVqzxP+hcUePWy+8Wzfp662NQRXArICWZE3O/lGPJQkT/3ZXtwSth6tMSUly6NJVc6x1Q2uvDtY5J3wvn2kGtT5bXJylrPSkCV8HAABgKopqEmbbtm3atm1b0N7dd9+tkpIS/cd//Ie2bt2qb3/727rppptUU1Ojf/iHf1BubnS/AQYAAAAAE2UzDN29eXlQIsPrm1xFgHR29obNMMIR2rgV5aRYj53dLrncI7ccYy5MfDNNU3sCkjALZmUoL2D+S6CrLpirwJ/Ul3eemvD9TpzuCqoci8VcJAAAgEiJahLmoYce0kMPPRS0l56eru3bt2vLli3atWuXHn30UWVmZurBBx/Uxz/+8WiGBwAAAACTlpLk0NYt5UHtmSYrPSVBZfOywhDV+BUFJJAkqWmUuTBtJGHi2smmHrV1uaz1aEmRwuwUrQloHbb/WJvOtPVO6H4VQ6pu1pbRigwAAMQPR7gveMstt+iWW24Z9rkjR44Mu5+fn69vfetb4Q4FAAAAAKJqdl6a7t68XNueqgz5WuvKCnT4ZEcYohqfopzgJEyzs1/ZI7SEohImvg1NiqwbYz7LNevnaU+Nf6bLK7vrddc1S8d1L9M0g+5XXJB2zs8iAADAdBbzmTAAAAAAEE/Wlhboxg8sDMt1oqkoNyVo3dg+ciVMa+foM2MwvQXOZynKSdGc/LRRjy+bl635RenWekflGfUODI7rXqfb+oJmEA03ewYAAGA6IwkDAAAAAGG2eWOJ1gZUDyQ6bEpJmlibsrysZC2ak2mtczIiO6g8LTlB6SkJ1nq0dmRUwsSvJmefGlr87cTWlRXIGGM+kWEY+tAF86y1e9CnN/edHtf9zqm6YR4MAACIMyRhAAAAACDMbIahv71+uc5fWqDs9ER97INLlOCY+KyYT354meYVpmvh7Axds37e2CeEaFbAXJim9pGrXTp73Br0eCMeD6JvskmRC88rUlZaorV+dXe9vD7fhO6Xl5kcVFEDAAAQD8I+EwYAAAAAIKUkOXTPzeUhXWNeYbq+8ZkLwxTR2IpyUnS0oVPS6JUwktTW5QpK2iA+7Kn2z3bJSk/UwoBqrNEkOGy6cl2xnn3rhCSpvcul3UdadOF5RSOe09Y5oLrGbmu9tix/zKobAACA6YZKGAAAAACAJKkoIKnS3TeoPpdnxGOZCxN/OntcOvbXJJx0di6RbQJJkSvWFMth93/M8PKuU6MeHzh7RpLOpxUZAACIQyRhAAAAAACSgpMwktTUPnI1TBtzYeLOnppWmQHrdWX5Ix47nMy0RF28wl/5cqyhS8dOd454/J6AVmTpKQkqnZs9ofsBAABMByRhAAAAAACSzrYjCzRaEqaVJEzcCZzPkpLk0LL5ORO+xjUXBM8uennn8NUwPf2Dqj7lT9CsKc2XzUYrMgAAEH9IwgAAAAAAJElFOUMqYZwjtxyjEia+9A14dKjOaa1XL8kLai02XnML03XeAn/yZtfhFrV3nfuzsremVT7TX3ezrpRWZAAAID6RhAEAAAAASJKSEu3KyUiy1o1UwswY+4+3yusLT1LkQ+v91TA+09SrFfXnHBNYdZOUYNeKhROvugEAAJgOSMIAAAAAACyBLcmanaMlYUauksH0U1Hdaj122G1auSh30tdatTgv6Ofozb2n5XJ7rbXL7VVVbbu1Ll+UqwSHfdL3AwAAmMpIwgAAAAAALEW5/pZkbV2uoOfSUxKsxx09bg16fFGLa6bz+Uw9/06ttj21X9WnOsJ67UGPV5XH26z1yoW5Sk50TPp6NsPQ1QGzYXoHPHq7qtFaHzjRFvSzs66MVmQAACB+kYQBAAAAAFiGzoUJlJeVHLQebtYHIuNQnVNPvXFce2pa9cDje9U0SpXSRFXVOoMqVdaW5Yd8zY3ls5Sa5E/kvLzzlDUDJrAVmd1maNXivJDvBwAAMFWRhAEAAAAQl6pq2/XDpyv16u76oAHgGF1RbsqIz+VnBidhmAsTPWfaeq3Hgx6fHn7hcNh+rvcEJEUMQ1qzJPQkTHKiQ5etmWOtG9v7dOB4uzxen/Yd9VfdLFuQo9TkhOEuAQAAEBdIwgAAAACIOz39g/rRMwe0u7pF21+u1jNvHo91SNPGRCphmAsTO0dOdeiNvadDvo7PZ2rvUf88mLK52cpITQz5upJ01bq5shmGtX551ykdOdmhPpfH2qMVGQAAiHckYQAAAADEnQMn2tQf8EHv8+/U6Z0DjaOcgfcVZKco4HPzILmZyQp8qo12ZDH1xGtHQ24JV1Pfoe6+QWsdzqRIXlay1i31X6/qRLuef6fWWhuS1paGXnUDAAAwlZGEAQAAABB3Ko+1n7P3ixcP6Wh9ZwyimV4SHDblDWk79j6H3VB2RpK1ph1ZbA24vfrlH4/IDKEtWUV1a9A6HPNgAl1zwbyg9eGTHdbjRcWZyk5PGnoKAABAXCEJAwAAACCu+ExTB060nbPv8Zra9vR+WmiNw6zckVuS5Qe0JCMJE3uVx9v0TtXkqrxM01RFwDyYBUUZys8aeSbQZCwuztTC2ZnDPreulFZkAAAg/pGEAQAAABBX6hq7g9orpaf4h3539w3q+0/uD2pVhnMVjTMJ00YSZkr4zSs16ux1T/i8U809QS3lwl0FI0mGYehD6+cO+xzzYAAAwExAEgYAAABAXKk8HlwF85WPrda8wnRr3dDSq58+VyWfb/ItnOJdUc7I1RB5AZUSHd0uDXp80QgJQ1y5tth63Dvg0faXjkz4GoFVMFLkkiIXLC1UTkZw27Hi/LRRk30AAADxgiQMAAAAgLgSmITJz0pWyawM3btllTLTEq39fcfa9MTrR2MR3rQw3nZkpqT2bqphYuH6DSWak59mrXcdadHuI80TukZgEqYwJ0XFAdcLJ4fdpg+uKw7aW0sVDAAAmCFIwgAAAACIGz39gzp+ustaly/Kk2EYystK1tZbyuWw+98C/em9U3pz3+lYhDnlFY4zCSMxFyZWEhw2ffraZTIC9n79UrV6+gdHPCdQs7NP9S291npdWYEMwxjljNBcvqZYmalnWwM67DZtWDkrYvcCAACYSkjCAAAAAIgbVSfaZQZ0GStflGc9Xlycpc9ctyzo+F//6YiOnHRGK7xpIz8zWXbb8B/I5w1JwjAXJnYWF2fpQ+vnWeuuXrcef7VmXOdWVLcGrSM9nyU9JUH/dOc63XLZIv3T36wdtdoKAAAgnpCEAQAAABA3AluROeyGzluQE/T8xStmafOGEmvt9Zl66OlKNTv7ohXitGCzGSocYS5MbkZyUPVFa2d/dILCsG6+bJEKsv2JsR0HGs+ZizScihp/K7KstEQtmpMZkfgCzc5L0/UbSrS4OCvi9wIAAJgqSMIAAAAAiAs+09SBgA+fy+ZlKynRfs5xN166UBcs9X/rv3fAo+8/uV99A+Nr4zRTFOUMX6mQ4LApO2DIOpUwsZWUYNenrj0vaO9XfzysfpdnxHM6e906Vt9prdeW5ssWwVZkAAAAMxlJGAAAAABx4WRTt7r6/ImUwFZkgWyGoc9ev1wLZmVYe2fa+vQ/v6uS1+eLeJzTRVHu8JUwUnBLMmbCxN55C3J0+Zo51rqty6Un3zg24vF7aloU0LUv4q3IAAAAZjKSMAAAAADiQuWx4BZMIyVhpLPVA/duWaXs9ERrr+pEux575WjE4ptuikaZ2ZFPEmbK+egVS5QTUKH0WkXDiPOOKqr9rchSkhxaNqRtHwAAAMKHJAwAAACAuFB5vN16nJeZrNl5ow/+zslI0r23rlKiw/+26NWKev1vRX3EYpxORmpHJgUnYTq6XfJ4qSCKtdRkhz6xaWnQ3i9ePCzXoDdor9/l0aFaf3Jm9eI8Oex8NAAAABAp/KYFAAAAYNrr6R/UsdP+GRfli/NkjGPGRcmsTP3t9cuD9h59uUZVJ9pHOGPmmDVqJYy/VZkpqb2LapipYPWSfF28oshaNzv79bu3TgQds/9Ym7w+fzOytbQiAwAAiCiSMAAAAACmvYO17TIDhlyUL8od97kXLCvUzZctstY+09SPnj2gxva+cIY47WSnJyoxYfi3jIEzYSRakk0ld1xVqozUBGv9p50ndeJMl7UObEXmsNsm9FoBAADAxJGEAQAAADDtVR73z4Nx2A2dN8EZF9dfsiCogqDf5dF7h5rDFt90ZBjGiC3J8knCTFkZqYm680Nl1to0pZ+/cEger0+DHq/2B7xWVpTkKDnREYswAQAAZgySMAAAAACmNZ9p6kDAPJjSudkT/mDZMAx9+tplWlycGe7wprWinJRh93MzkhXY7I0kzNSyflmh1pbmW+uGll794e1aHax1yuX2z4hZRysyAACAiCMJAwAAACAiGlp79Q8/eFP/uO0tNTsj19rrVFOPOnvd1rp8Ud6krpPgsOuLt6xSXmZSuEKb9opGmAuT4LApKz3RWrd19kcrJIyDYRi6a9NSpSb5k5HPv1OnF/9yMuAYaXVAogYAAACRQRIGAAAAQEQ8/3atDtc5dai2XT95rkpm4NCWMApsRSZJ5Ysnl4SRpKy0RN1762olJdpDDSsujNSOTJLys/xVMm1Uwkw52elJuu2qJdba6zNVfarDWpfOzVZmauJwpwIAACCMSMIAAAAAiIj2Lv8H8yfOdKvqRPsoR09eYBImLzNJc/JGThyMx7zCdP3d5hVB7bZmqlkjVMJIwXNhWrtIwkxFHyifrRULc4d9jlZkAAAA0UESBgAAAEBU/G7HibBXw/QNDOpYQ5e1Ll+UJ8MIPX2ypjRfH73SX0WwZG5WyNecjmblpcoW8PeZlpxgPc4LSMI4u13yeH1RjQ1jMwxDn9y0VEkJ51Z2raMVGQAAQFSQhAEAAAAQFccaunSozhnWa1bVOuULSOxMdh7McD580Xx96dZV+uiVi3XvllVhu+50kp6SoBs2lshuM1Q6N0urAlq9BVbCmKbU3u2KRYgYQ352im69YnHQ3vyidOVnp4xwBgAAAMLJMfYhAAAAABAev99Rq+Ulw7dHmozKY/5WZHaboWULcsJ2bUlavSRfq5fM7IqBGz6wUNdvLAmqiJGCZ8JIUltHvwr5YH9KunJdsXYfadbhk2dnwly2ek6MIwIAAJg5SMIAAAAAiJojpzp05KRTS+eHniwxTVOVJ/xJmLJ52UpJ4i1OJAxNwEjBlTCS1NrJXJipymYYuvfWVXpj72mlpyTokpWzYh0SAADAjEE7MgAAAABR9dyO2rBc51Rzjzp73NY6nK3IMLbcTJIw00lyokObLpyvjeWzh02qAQAAIDJIwgAAAACIqkN1TtXUd4R8ncrjbUHr8kXha3OGsSU4bMpOT7TWJGEAAACAc5GEAQAAABBxWQEf1ktnZ8OEKnAeTG5mkubkp4V8TUxM4FyYts7+GEYCAAAATE0kYQAAAABE3OzcVK0JGHB/4ES7jp3unPT1+gYGdbShy1qXL8qTQYulqMsLmAvT1kUlDAAAADAUSRgAAAAAUbF5Y0nQOpRqmIO1TvlM01ozDyY28gOSMO3dLnm8vhhGAwAAAEw9JGEAAAAARMXC2ZlatdifLNl/rE11jd2Tutb+gHkwdpuh8xbkhBwfJi6wEsY0JWe3K4bRAAAAAFMPSRgAAAAAUbN5Q0nQ+rkdJyZ8DdM0dSAgCVM6N0spSY5QQ8MkBFbCSFJrJy3JAAAAgEAkYQAAAABEzeLiLK1YmGut99S06mTTxKphTjX3qKPHba3LF9OKLFbys1KC1q2d/TGKBAAAAJiaSMIAAAAAiKqh1TB/eLt2QudXBlTBSMyDiaW8zKSgdRuVMAAAAEAQkjAAAAAAoqpsXraWzc+21ruOtKi+pWfc51ceb7ce52QkqTg/LazxYfwSHHZlpSdaa9qRAQAAAMFIwgAAAACIuhs2Lgxaj7capm/Ao6P1nda6fFGeDMMIZ2iYoMC5MCRhAAAAgGAkYQAAAABE3dL52Sqbm2Wtdx5q1pm23jHPO1jbLp9pWmtakcVe4FyYNmbCjMg0TTW392nQ4411KAAAAIgikjAAAAAAos4wDG3+gL8axpT0h7frxjwvcB6M3WZoeUlOJMLDBORl+ithnN1ueX2+GEYzdT3yUrU++x8v6zP/78uqOtE+9gkAAACICyRhAAAAAMTE8gU5Wlycaa3fPdioJmffiMebpqkDAR9el87NUkqSI6IxYmyB7ch8pilnlyuG0UxNgx6f3tx3WpLU0e3Sg7/dq+ffqZUZUNUFAACA+EQSBgAAAEBMGIahzRsCqmFM6flRqmHqW3rl7PZ/wE8rsqkhMAkjMRdmOF6fT16fP+FimtJTbxzXD585oH6XJ4aRAQAAINJIwgAAAACImfJFuSqZlWGt3z7QqJaO4eeKBLYiO3suSZipII8kzKRVVLfo33+5S6dbx56HBAAAgOmJJAwAAACAmDEMQzds9FfD+ExTz78zfDVM5TF/EiYnI0nFBWkRjw9jC5wJI0mtncMn0TC8xvY+/fuvdmn3keZYhwIAAIAIIAkDAAAAIKZWL8nT/MJ0a72j8ozahlRT9Ls8OtrQaa3LF+XKMIyoxYiRJSbYlZWWaK2H/rfDudYvK1R2uv/vzOX26ofPHNCTrx+Tz8ecGAAAgHhCEgYAAABATBmGoc0B1TBen6kX/hJcDXOwtj1opgatyKaWwLkwtCMb28LZmfq3T61X2dysoP0X3q3Tg7/dq+4+d4wiAwAAQLiRhAEAAAAQc2vL8oPai72177Sc3S5rHTgPxm4ztLwkN6rxYXR5JGEmLCs9SV+7Y62uvmBu0P7BWqe++fBO1TZ2xSgyAAAAhBNJGAAAAAAxZzMMbd5QYq09XlMvvnu2GsY0TVUeb7eeW1KcpZQkR7RDxCjys1Ksx85ul7w+XwyjmT4cdpv+5uoy3b15uRId/rfnbV0ufevXFXpr/+kYRgcAAIBwIAkDAAAAYEq4YGmhZuelWus39p1WR49LDS29QVUx5YtpRTbVBLYj85lm0H8vjO2SFbP0z3edr4Js/9+jx+vTL144rF/96Yg8XpJaAAAA0xVJGAAAAABTgs0WXA0z6PHpj385GdSKTGIezFQU2I5MktqGtCRraO3VrsPNGvR4oxnWtDK/KEP/+qn15/x8v76nQf+9vULOHhJbAAAA0xFJGAAAAABTxoXnFako118N8/qeBv3lYJO1zslI0tyA2TGYGvKHJGEC58KcbOrWN37xnn707AF9/8n90Q5tWklLTtCXbl0VlIyUpGOnu/TiuydjExQAAABCQhIGAAAAwJRhsxm6/pIF1trt8elkc4+1XrkwV4ZhxCI0jCIvc+QkzMFapzxe03rc3eeOamzTjc1m6ObLFuneLauUkmSPdTgAAAAIEUkYAAAAAFPKxSuKgmZjBKIV2dSUmGBXZlqitW7t7Lce+0wz6NgmZ78wtjWl+fr6J9erOJ/KLwAAgOmMJAwAAACAKcVus+kjl5QMs29oeUlu9APCuAS2JBs6EyZQs7MvGuHEhVm5qfp/PnG+1i8rPOc5GxVhAAAA0wJJGAAAAADDOt3aqx2VZ9Q3MBj1e29YOeucFleLi7OUmuyIeiwYn8AkTOsoSZimdiphJiI50aHP37hCH7tyid7Pu5TN5bUAAAAwXfBbGwAAAIBztHT065sP75Tb41NORpL+78fXKT8rJWr3d9ht+sglC/SrPx2x9soXUQUzleUFJGHau1zy+nyy28793l8TlTATZhiGPnzRfK0tzdep5h6tWMhrAQAAYLqgEgYAAADAOapPdcjt8UmSnN0uPfD4PnVFeaD6xvLZml+ULklKSbJrw8rZUb0/JiYwSeczTXV0D//z0sxMmEkryk3VBcsKlZLE9ykBAACmC35zAwAAAHCOc4apt/fpe7/dp3+4Y23UPgBOcNj0j3esU/WpDpXMzlB2elJU7ovJCWxHJkmtnf1B1THva3L2yzRNGcw0AQAAwAxAJQwAAACAcalt7NYPn6nU4F8rZKIhNdmhNaX5JGCmgaEzfEaaC9Pv8qinP/pzhgAAAIBYIAkDAAAAYNwO1jr1s+cPyuczxz4YM8rQqpe2EZIw0tlqGAAAAGAmIAkDAAAAYEy2gNZR7x1q1qOvVMs0ScTALynBrszUBGs9UiWMdLa9HQAAADATkIQBAAAAMKaPbyqT3eZPxPxvRYN+v6M2dgFhSsrLSrEet3aOXO3STCUMAAAAZgiSMAAAAADGtHJhrj57/XlBe8/++YReq6iPUUSYivIDWpKNWgnjpBIGAAAAMwNJGAAAAADjcvHyWbrj6tKgvUdeqtbOw80xighTTWASxtntktfnG/Y4ZsIAAABgpiAJAwAAAGDcPnTBPF2/ocRam5J++lyVDta2xywmTB2BSRivz1RHt3vY45qd/cwUAgAAwIxAEgYAAADAhNx86UJdvmaOtfb6TG17ulK1jV0xjApTQeBMGElq6xq+JVm/y6Pu/sFohAQAAADEFEkYAAAAABNiGIbuumapzi8rsPZcbq+++9t9amxn1sdMFlgJI0mtnSO3HWtupyUZAAAA4h9JGAAAAAATZrMZ+twNy7Vsfra11903qAce2ytntyuGkSGW8s5JwgxfCSNJTU4SdgAAAIh/JGEAAAAATEqCw66tW1ZpflG6tdfWNaAHf7tXvQO0mpqJkhLsykhNsNajJ2GohAEAAED8IwkDAAAAYNJSkhz6ysfWqDDHPwukoaVX339yv1weXwwjQ6wEtiRrGyUJ00wlDAAAAGYAkjAAAAAAQpKVlqj7blujrLREa+9ofafqGrtjGBViJS/Ln5AbbSYMlTAAAACYCUjCAAAAAAhZQXaKvnrbGqUkOWIdCmIssBKmvcsln88c9rhmZ59Mc/jnAAAAgHhBEgYAAABAWMwrTNeXbl2lBAdvM2aywCSM12eqo8c17HH9E+mURQAAIABJREFULq+6+5kdBAAAgPjGuyMAAAAAYVM2L1ufv3GFbIYR61AQI4FJGElqHW0uTDstyQAAABDfSMIAAAAACKu1pQX65LVLg/YSE+wxigbRFjgTRpLaukZOwjQ5+yIdDgAAABBTJGEAAAAAhN2lq+bo9qtKZbcZstsMXbpqdqxDQpTkZw6phOkYLQkzPSphTNPUu1WNem1Pg1yD3liHAwAAgGmEqZkAAAAAIuKa9fO0acNCGYbkc3tiHQ6iJCnRrozUBHX3nZ33MjRpkZ6SoJ6/zoJpniaVMK/srtdvXqmRJP15/2l95WNrlJ6SEOOoAAAAMB1QCQMAAADEIdM09ef9Z/ToK9Vqao/dB9352SnntKdC/MsbUg0TqCjX//PQNE1mwtSc6rAenzjTre/8Zo+6+twxjAgAAADTRViSMB6PRw8//LCuu+46rVq1SldddZV++MMfanBwcFznHz58WH//93+v9evXq7y8XJs3b9bjjz8ejtAAAACAGelgnVM/f+GQXtlVr/9+tEL9LipRED35WSMnYQqzU63HzR19Mk0zGiGFZGiEp5p79N/bK9TR44pJPAAAAJg+wpKE+eY3v6n//M//VHZ2tj7xiU+oqKhIP/jBD3TfffeNee7hw4d1xx136I033tBll12mO+64Q319ffrXf/1Xfec73wlHeAAAAMCMU9fYbT3u6HHrpZ2nYhgNZpr8UaqfAith+l1eq23ZdHOmrU//tb1C7V0jz7wBAAAAQk7CVFRU6PHHH9emTZu0fft2fe1rX9P27dt100036U9/+pNee+21Uc//3ve+p76+Pv3gBz/QAw88oH/+53/Wc889p5KSEv385z/XqVO8WQQAAABC9cf3Tqqzl/ZJiI68USphinJSg9ZN02QuzHCanf36r+0Vau6YHm3VAAAAEH0hJ2G2b98uSfriF78owzAkSYZh6Ktf/aoMw9ATTzwx6vmVlZXKysrS1Vdfbe2lpaXp+uuvl8/nU2VlZaghAgAAADOey+3VH3bUxjoMzBCjtiPLCa6SaXZOrwRGVlpi0Myb1s4B/ff2Cp1p641hVAAAAJiqQk7C7Nq1Szk5OSorKwvaLyoqUklJiXbu3Dnq+dnZ2erp6VFnZ2fQflNTkyQpJycn1BABAAAASHp9b4Oap3HVAaaPsZIwRsB6ulXCpKck6P/cuS4omeTsdum/H92j+paeGEYGAACAqSikJIzb7VZjY6Pmz58/7PPFxcXq6upSe3v7iNe4/fbb5fV6dd9996murk49PT168skn9cwzz2jFihW68MILQwkRAAAAwF95faaeeetErMPADDBaO7IEu005mUnWuql9elXCSGf/fP/0N+s0O8/fWq2r161vP7onaB4TAAAA4Ajl5I6ODklSRkbGsM+/v9/d3a3c3Nxhj7nrrrtkt9v1rW99S9dcc421v3HjRj344IOy2+2hhKiCguFjA8KJnzMgGK8J4CxeC4iltLSkYff/crBJt29apiVzs0c9PzMj+EP0vNx0FeSmjnD02Hg9zDyZaYnqGmYOUX5BhuYWZqi9yyVJau9xTfmfj6Qk/1tnu8OmgoIMFRRk6NtbL9PXf/K2as90SZJ6+gd1/2N79I3PXaKlC/zvgftdnqDrpaUlTfk/MxAtvBYAP14PwFnx9loIqRLG4zn7i2RiYuKwz7+/73K5RrzG3r179dOf/lQJCQm66aabdNddd2nx4sV6++239f3vf1+maYYSIgAAAIAhfvn8wViHgBmgcJSk3ZyCdOvx6Zbeafu+LzsjSd/6wkYtmedPavYOePT1n7ytquNtMYwMAAAAU0VIlTDJyWe/HTc4ODjs82732W89paSkDPt8T0+P/u7v/k4+n09PP/20Fi5caJ33ta99TY8++qiWLFmiO++8c9IxtrRQCo7IeT8ry88ZcBavCeAsXguYCnp7g78ItXReto6cOlvJvre6Ra/vrNOKkuGr1SWpq3sgaN3W3iPD651wHLweZq7s1IRh91tbupWZ7H8r2u/y6HhduzLThv9y31TgCqhk8Xp85/w8f3nLKn3viX062nB21mm/y6t//enb2rpllVaU5GrAHVwJ09vr4jWBGY//PwB+vB6As6b6a2GyFTohVcKkp6fLZrOpp2f44YPd3Wf/skZqV/bqq6+qo6NDd911l5WAkc5W0Pzbv/2bJOmZZ54JJUQAAAAAkm69YnHQMPQnXz8m3zStPsD0MNpcmKKc4C/qNTn7Ih1ORKUmO/TV21Zr2Xx/RYx70KfvP7Ff+462xjAyAAAAxFpISZjExETNmTNH9fX1wz5fX1+vnJwcZWcP32+6sbFRkrR48eJznsvLy1NOTo7OnDkTSogAAAAAJM0rTNdFK4qsdV1jt3Ydbo5hRIh3+VnDd0SQzm1V1tTeH+lwIi450aEvf3S1Vi7yV5h5vD499HSlKqpbYhgZAAAAYimkJIwknX/++WppadGJEyeC9puamlRXV6c1a9aMeG5eXp4knXOuJHV2dqqjo0P5+fmhhggAAABA0s2XLpLd5q+HefqN4/J4fTGMCPFstEqYwuzkoMqs5o7pXQnzvsQEu7beskprS/3vY70+Uz/7w6EYRgUAAIBYCjkJc9NNN0mSvvvd78rnO/sGzjRNPfjggzJNU7fddtuI51555ZVKSUnRI488olOnTln7Xq9X//Vf/yXTNPWRj3wk1BABAAAASCrITtGV64qtdXNHv97cdzqGESGe5Y+ShElw2JWbmWSt46ES5n0JDpv+/qaVWr+s0Nqj8R8AAMDM5Rj7kNFt2LBB1113nV544QXddtttuuiii7Rnzx7t2rVLmzZt0hVXXGEdu23bNknS1q1bJZ2thPn617+uf/mXf9GNN96oTZs2KTMzU++++64OHz6sCy+8UJ/61KdCDREAAADAX12/oUR/3n9GA26vJOm5P5/QhpWzlJwY8lsDIEhe5shJGEkqzElVW5dL0vSfCTOUw27T525YrgSHTW8faIx1OAAAAIihkCthJOnb3/627r33XjmdTv3yl79Ua2ur7r33Xt1///0yDH+R+UMPPaSHHnoo6NwtW7boF7/4hdauXauXX35Z27dvl9vt1pe+9CX97Gc/U2JiYjhCBAAAACApMzVRH75ovrXu6hvUS++dGuUMYHJSkhxKT0kY8fmiHP/MmGZnv0wzvupF7DabPvOR83T5mjmxDgUAAAAxFJavuyUkJOiee+7RPffcM+pxR44cGXb/4osv1sUXXxyOUAAAAACM4Zr18/S/FQ3q6nVLkl5876SuWFeszFS+AIXwystKVk//4LDPFeakWo8H3F519Q0qKy2+fgZthqFPbFqqBLtNr+yut/YzUkdOTgEAACC+hKUSBgAAAMD0kZzo0I0bS6y1y+3VH3bUxiwexK/R5sIU5aYErZva46sl2fsMw9AdV5dqy+WLlJmWqHVLC7WurCDWYQEAACBKSMIAAAAAM9Clq+eoMKAd1Gt7GtTcET/D0TE1jJaECayEkc62JItXhmHoI5eUaPs3r9U3PneJUpKYwQQAADBTkIQBAAAAZiCH3aZbLltkrb0+U8++dTyGESEe5WeljPhcYXayjIB1kzM+K2EAAAAws5GEAQAAAGaoC5YVqmRWhrV+t6pJdY3dMYwI8SYvc+RKmASHXbkBz8dzJQwAAABmLpIwAAAAwAxlMwzdesXioL2n3jgWo2gQj0ZrRyYpqCUelTAAAACIRyRhAAAAgBlseUmuVizMtdYHTrTrUG17DCNCPMkbIwlTlOufC9Pk7JdpmpEOCQAAAIgqkjAAAADADHfr5cHVME+8fkzis3CEQUqSQ2nJIw+hLwqohHG5verqG4xGWAAAAEDUkIQBAAAAZrgFszJ08fIia13b2K1dR1piGBHiSX5WyojPBbYjk6SmdlqSAQAAIL6QhAEAAACgmy5bJLvNsNaVx9tiGA3iyWhzYYpyUoPWzIUBAABAvCEJAwAAAECF2Sm6Ym1xrMNAHBptLkxBdoqMgHWzsz/yAQEAAABRRBIGAAAAgCRp84YSJSXaYx0G4kzJ7AzrcVZaohwO/9vQBIdNuZn+JE0TSRgAAADEGZIwAAAAACRJmWmJ+vCF82MdBuLMBUsLdfUFc7Vsfrb+9vrlshlG0PNFuf65MM3MhAEAAECcccQ6AAAAAABTxzXr5+m1inp19Q3GOhTECYfdpr+5umzE5wtzUnWw1ilJaurol2maMoYkagAAAIDpikoYAAAAAJaUJIc2b1wY6zAwgxTl+CthXG6vunrdMYwGAAAACC+SMAAAAACCXL5mjgqzU8Y+EAiDopzUoHUk5sJ4vD69tPOUXt55Sh6vL+zXBwAAAEZCEgYAAACYgnr6B/X6ngbVNXZH/d4Ou01brlhsrdOSHcpOT4p6HJgZCnOCE35NzuC5MD7T1FNvHNN//HqX3jvUNKl7PP3GcT32ao1+82qNHnq6Uj6fOel4AQAAgIlgJgwAAAAwxbR29Os/t1fI2e2SzTD0xVvKtaY0P6oxrF9WqP5rl+nwSaeuXFssh53vbyEyCrJTZBiS+de8SPOQSpiaUx16/p06SVJd4yGVzcuecFLw+OlO6/H+Y2165q3j2nL54lHOAAAAAMKDd1IAAADAFNLR49L9j+2Vs9sl6WwVwE9/X6XTrb1Rj+Wy1XP0uc0rVDo3O+r3xsyR4LApLzPZWg9tR9bc4V97vD7tqWkN+Z7Pv1OnvxycXFUNAAAAMBEkYQAAAIApoqd/UA88vjfoQ2dJGnB7te2p/eobGIxRZEBkBbYka27vG+VIqeJIc1ju+YsXDsWk3R8AAABmFpIwAAAAwBQw4Pboe0/sU0PL8BUvTc5+/fi5KmZZIC4V5aRaj5uc/TLNkX/OD5/sUE9/6AlJt8enbU/vV1evO+RrAQAAACMhCQMAAADE2KDHq21PVer46S5rLystUf/88fOVk+GffXHgeLueeuNYLEIEIqoooBLGNegdNTHi9ZnadzT0lmSS1N7l0o+eqZTH6wvL9QAAAIChSMIAAAAAMeT1+fTj31XpUJ3T2ktLdui+29Zoydwsbd1SrgSH/9f2F/9yUu8ebIxFqEDEFAZUwkjnzoUZqqK6ZdL3ml+UHtT+rLq+U4++UjPp6wEAAACjIQkDAAAAxIjPNPXwC4eDBo0nJdj15Y+t1tzCdElSyaxMffraZUHn/eKFw6pt7BIQL4pyU4LWTWPMhTlwol0ut3dS90pNcmjrllVKTrRbe6/vadBrexomdT0AAABgNCRhAAAAgBgwTVO/eaVGOw74q1ocdkNbt5Rr8ZysoGMvXjFLH75ovrUe9Pj00NOVzLJA3MjPSpFh+NfNHaNXwgx6fKo83jbp+xXnp+lzm1co4JZ69OVqHTnpHPEcAAAAYDJIwgAAAGDK8Zlm3M9o+N2fT+jV3fXW2mYY+vyNK7W8JHfY42+9fLFWLvQ/xywLxJMEh015mcnWeqxKGCm0lmSStKY0Xzddtshae32mfvTsAbV2jp4AAgAAACaCJAwAAACmlNOtvfq3n7+nLzz4hl7aeSrW4UTES++d1HM7aoP2Pn3dMq0rKxjxHJvN0N/duIJZFohbRQE/22PNhJGkfcdaQ05CXn/JAl2wrNBad/cN6qGnKuUanFyrMwAAAGAokjAAAACYMlo6+nX/Y3vU0NIrj9fUE68djbuWW2/tO63H/vdo0N7fXF2qjeWzxzw3LTlh2FkWrzPLAnGgMDfVetzs7JdpmqMe3+/y6lBdaO3DDMPQZ687T/P+OoNJkk429+gXLxwa8/4AAADAeJCEAQAAwJTQ0ePSA4/tVUePP+ni9Zn6y8GmGEYVXrsON+vhPx4O2rvp0oW6+oJ5475GcX6a7t68PGhv+8vVqj7VEZYYgVgpyvZXwrgGveocRwJ295HQWpJJUlKiXVtvKVd6SoK1996hZr3wbl3I1wYAAABIwgAAACDmevoH9cDje4cdxr3jwJkYRBR+B4636SfPVSnwy/XXrJ+nzRtKJnyttaUFuvnShdba6zP1o2cq1d41EIZIgdgIrISRRp4LEzg7Zk9Ni3y+0CtW8rNTdM/NK2W3Gdbe028c196jrSFfGwAAADMbSRgAAADE1IDbo+89sU8NLb3DPn+yqUf1zT1Rjiq8auo79NDTlfIGfFh86arZuu2DS2QYxihnjuz6DSU6f6l/hkxX36C2McsC01jgTBjpbEuy4QT+3Hf3DaqmPjxVYEvn5+iOq0uttSnpp89V6XTr8P82AQAAAONBEgYAAAAxM+jxadtTlTp+usvay0pL1BduWhl03HSuhjnZ1K3vPbFfbo9/gPgFSwv0yQ8vm3QCRvrrLIuPnKe5BWnWXl1Tt3754mFmWWBaKshOUeBLommEJMy6soKgdUV1+KpVrlxbrMtWz7HWA26vtj21X30DnrDdAwAAADMLSRgAAADEhNfn00+eqwoarJ2W7NB9t63R+UsLgpIL71Q1yevzDXeZKa2xvU8PPr5X/S7/B7grF+bq7s0rZLNNPgHzvuREh7ZuWaW0ZIe19+7BJv3pvVMhXxuINofdFtRqrNk5fDuy3MwkLZiVYa0rqpvDlng0DEMfv6ZMS+ZmWXtNzv6gf6cAAACAiSAJAwAAgKjzmaYefuGwKqr9Q7WTEuz68sdWa25hugzD0Mby2dZzXb1uVZ1oj0Wok9beNaD7H9ujrr5Ba2/J3Czdc3O5Ehzh+zW8IDtFX7hppWwBJQRPvH502v19AVJwS7KRKmEk6fyAapi2LpfqmrrDFoPDbtM9N5crJyMpbNcEAADAzEUSBgAAAFFlmqYee6VGOw40WnsOu6GtW8q1eI7/2+cXr5gVlFjYUdmo6aKr1637H9ur9i6XtTe/MF1fvnWVkhLtYb/feSW5uu2qJdbaNMU39zEtFeamWo+bnf0jVrgEzoWRpN1HWoY9brKy0hK1dUt4E6YAAACYmfiNEgAAAFH1uz+f0Cu76621zTD0+RtXanlJbtBxWWmJWrnIv7enplW9A4Oa6voGBvXg43vV2O5vpVSUm6qv3rZGqckJEbvv1efP1QcCqoeA6agox5+EcQ161dnrHva42Xlpmp3nPzawqi5cSmZl6tPXLgv7dQEAADCzkIQBAABA1Ly885Se21EbtPfp65adM2j7fYEtyTxen3Yeao5keCFzDXr1/Sf362Rzj7WXm5mkr922RplpiRG9t2EYumvTUi2akxnR+wCRVBjQjkySmtqHnwsjBVfDnGnr0+nW3rDHc/GKWbr2ovlhvy4AAABmDpIwAAAAiIo/7z+j37xaE7R3x9WlQYmWodYsyVNqkn/o/I4DZyIWX6g8Xp9++Eylauo7rb2M1ATdd9sa5WUlj3Jm+CQ4zs6yyEqPbMIHiJSioUmYUebCDE3eRqIaRpK2XL5Y5YvyrPXcwvSI3AcAAADxiSQMAAAAIm73kWb94sVDQXs3fWChPnTBvFHPS3DYdeHyImt9rKErqM3XVOHzmfrp7w/qwPF2ay8lyaGvfmyNZuelRTWWnIwkffGWcjnsRtC+YYxwAjCFFGSnBP2sNo+ShFlQlKG8zCRrvTtCSRibzdAXbl6pGzaW6Jr183Tnh8oich8AAADEJ5IwAAAAiKiqE+36yXNVCpyvfc36edq8sWRc529cOSto/fYUq4YxTVO//ONh7Trsb5WW6LDpyx9dpQWzMmIS0+I5WfrEJv8si0VzMpXgsMckFmAiHHab8jL9lWNNzpGTroZhaF1ZobWua+xWa+fISZtQJCXYddOli3T7VaVKT4ncbCcAAADEH5IwAAAAiJijDZ3a9vR+ebz+DMwHymfrtg8ukTHO0oxFczJVlOsfwP3OgUb5AjM6MWSapn772lG9td+fGLLbDN1zS7lK52bHMDLpA6tm6//cuU53fqhMX/nY6pjGAkxE4Ou9qX30pErgXBhJ2lPdGpGYAAAAgMkiCQMAAICIONXco+/9dp/cgz5r7/ylBfrktUvHnYCRzn7bPbAapq3LpSN1zrDGOll/eKdOf3rvlLU2DOlzN6wImh8RS2XzsnXV+XOVlsw39zF9BM6Fae7ok0bJuS4pzlJmqv/nO1ItyQAAAIDJIgkDAACAsGty9umBx/eqz+Wx9lYszNXnNq+Q3TbxX0E3rJylwLTNjgONYYgyNK/urtczbx4P2vvkh5dp/bLCEc4AMB6FOf5KGPegTx297hGPtdkMrSn1V8PUnOpQ5yjHAwAAANFGEgYAAABh1d41oPt/s1ddAR+ELi7O1BdvLleCY3K/fuZmJmvZghxrvftIiwbcnlHOiKx3DjRq+8vVQXu3fXCJLls9J0YRAfEjsBJGkppHmQsjBbckMyXtraEaBgAAAFMHSRgAAACETXefWw88vldtXQPW3tyCdH35o6uVlBjaYPiN5f6WZK5Br3Yfic0HrXuqW/Sz5w8F7V2/oUSbLpwfk3iAeBM4E0aSmpyjz4U5b0GOUpL8/75UMBcGAAAAUwhJGAAAAIRFv8ujB3+7T2fa/N9aL8xJ0X23rwnLTJLzywqDEjk7Ks+EfM2JOlTbrv/5XZV8pn9IxVXr5urmSxdGPRYgXuVnJStwbFRz++iVMA67TauX5Fvrg7Xt6huIXaUcAAAAEIgkDAAAQJiZpimfb5RJ0nHIPejV95/cr7rGbmsvJyNJX7t9jbLSEsNyj6REuy4IaDt0+GSHWjtG/4Z8OB073akfPFUpj9dn7V2yYpbu+FCpjMBPjAGExGG3KT8r2Vp39Q2Oec75Zf5/G7w+U/uPUQ0DAACAqYEkDAAAQBj1DXj0f3+0Q3d8/QW9urs+1uFEhcfr04+ePaDqUx3WXnpKgr52+xrlZ6WMcubEbVw5O2j9dlVjWK8/kvqWHn3vt/vkGvRae2tL8/WZjyyTjQQMEHZFOaljHxRg5cK8oJlTu6uZCwMAAICpgSQMAABAGO2ublbV8Tb1DXj02Ks16hsY+xvc05nPZ+pnzx/S/mNt1l5Kkl333bZGs/PSwn6/svnZysv0f0P+7QONMs3IVh01O/v0wON71RvQ3ui8BTn6/I0rZLfx6zQQCYU5E0vgJiXatXJhrrWuPN4md0DSFAAAAIgV3jUCAACEUXdA2xyvz9Thkx2jHD29maapR16u1l8ONll7CQ6b7t2ySgtmZUTknjbD0IaVs6x1s7NfRxs6I3IvSXJ2u3T/Y3vV2eO29hbNydQXbylXgsM+ypkAQjHRShhJOj+gXaF70KeqE+3hDAkAAACYFJIwAAAAEVRVG78fAj795nG9vqfBWttthu65eaWWzs+J6H03lM8KWu+ojExLsp7+QT3w+F61dg5Ye8UFafryR1crJckRkXsCOKsod+KtDFcvyZfd5m8PSEsyAAAATAUkYQAAACLoYJx+E/vFd+v0/Dt11tqQ9LfXL9eqxfkRv3dRTqqWzM2y1jsPN4W97VC/y6MHH9+r06291l5BdrLuu22N0lMSwnovAOcqnEQlTFpygpYt8CeB99a0yuP1hTMsAAAAYMJIwgAAAERQk7NfrZ39sQ4jrF7f26AnXj8WtHfXh5fqouVFUYthY0BLsn6XV3tqWsN2bfegV9ue2q/axm5rLzs9UV+7fa2y05PCdh8AI8vPSpbNMMY+cIh1Zf6WZH0uj47EcUtIAAAATA8kYQAAACLsYK0z1iGEzV8ONunXfzwStPfRKxbrijXFUY1j/bIiJTj8v8ruOHAmLNf1eH368e+qgmb5pKck6L7b16oge+LtkQBMjsNuU35W8oTPW1uar8DUTQUtyQAAABBjJGEAAAAiLF6GQ+8/1qr/7w8HZQbsXXfxAl178YKox5Ka7NDaUn/rs6oT7XJ2u0K6ps809fPnD2nvUX9VTXKiXV/52GoV56eFdG0AE1eYM/HEZ3Z6khYHtCusqG6RzzRHOQMAAACILJIwAAAAEXaozjntPwQ8ctKpHz5zQF6f/89xxdpibbl8Ucxi+kD5bOuxaUrvHmyc9LVM09T2l6r17sEma89ht+neLau0cHZmSHECmJyiScyFkaTzA1qSdfa6dbyhK1whAQAAABNGEgYAACDCevoHdaqpZ9zHHz/dpW88vFPf+c0etXcNRDCy8alr7NYPntqvQY9/wPVFy4v08WvKZExiZkO4LC/JVXZ6orV+u7JR5iSTXU+/eVyv7Wmw1naboS/cvDJoyDeA6JpMJYwUPBdGknZXN4cjHAAAAGBSSMIAAABEQVXt+FuSPfXGMdU1dutQ3fvVJ76xT4qQM229euDxvep3ea29VYvz9NmPnDepodnhZLMZumTFLGvd0NqruqbuCV/nxb/U6fl36qy1Iemz15+nNUvyRz4JQMQV5U4uCVOQnaL5henWuqK6RdO7FhEAAADTGUkYAACAKJjIXJjA2SYnznTppZ2nIhHSmFo7+3X/Y3vV0z9o7ZXNy9YXbloph31q/Bq5IaAlmSTtqJxYS7I39jboideOBe19fNNSXbx81ghnAIiWybYjk6R1S/3VMC0dAzrd2huOkAAAAIAJmxrvngEAAOJcTX2n3IPesQ8cxjNvnoj6B4idvW7d/9jeoITQglkZ+tKtq5SYYI9qLKMpzk/T/8/encfHVZ95vv+e2rTvu2RZsiVL3hfMvoMBY0MICYtJs6STzr19OxB6AunOLJnMbXrupG+aELohPTM900lYHHAIBJLg2NhgMLt3G6+yJVnWau27VFIt84fjU1W29qpSafm8X6+8XvWcOud3fpGqZFGPnucpzE4w48+PnpXLPbbKoV3HzurFLScCjt1zw3zdtCovpHsEMDFpSdETrrhbfUFLsp5+Vyi2BAAAAIwbSRgAAIBJ4HJ7VFbTPuFrf775mDyeyWmo09M/qGc2HVBjW595LCctVk/cv0IxUbZJ2cN4XONXDdPdN6hD5S2jXnOovFn/6/dHA1oUrbtiru64qjD0GwQwITarRelJ0RO6Njc9TlmpE6+kAQAAAEIWIg58AAAgAElEQVSFJAwAAMAkOVrZNuFrK+ompy2Zc8CtZ187qOrGbvNYWmK0ntywUgmxjrDffyKuWJwlq8X31/Iff1E/4vknzpyfteNLwdywMlf33lgUtj0CmJjMCc6FMQzjomoYAAAAIBJIwgAAAIRRVorvA8Qjp8c+F2Yob+ysUH1L+NqSDbo8ev63X6i8ttM8lhjn0Pe+tlKpiRP7a/TJEB9j14ridDM+VN6irt6BIc893dCpf/rNIQ26fC3LLl+UqYdvK5UxwbZHAMInKzmIuTAkYQAAADAFkIQBAAAIo8XzUs3H1Y3d6uwZOjkwnCi/+SvhbEvm9nj0r78/oiOVvkRRbJRNT25YGdRw7MlyzdJs87Hb49XnR89edE59S4+e2XRQ/QO+2TzLi9L0rTsXy2IhAQNMRROthJGkwpwEpSREhXA3AAAAwPiRhAEAAAijJYWpAfHRqvFVwywrSlNpfrIZl9eGvi2Z1+vVC1tOaO+JJvOYw27Rv7t/hfIz40N6r3BZVpSm+Bi7GX98uCHg+eb2Pj396gF19w2ax0ryk/VXdy+VzcqvxMBUFUwS2GIYVMMAAAAg4vgvTgAAgDAqyU+WzeqrshjvXBiLIX3jjkVy2H2/tv32w9C1JfN6vdr03il9dMg3R8VmNfSdry5XcV5SSO4xGWxWi65cnGXGVQ1dqm06N9emo9uppzcdUFuX03y+IDtBf33v8oBKIwBTj39Lx4lgLgwAAAAijSQMAABAGDlsFi2Y46tkOXK6VV7v+NqJZSbH6L4bi8140BW6tmS//+R0QGWNYUh/edcSLZmXOsJVU9M1y3IC4o8PN6inf1A/2XRAjW195vGctFg9cf8KxUTZJnuLAMYpLSlaliDmNS3ITwqokgMAAAAmG0kYAACAMFtcmGI+butyqqG1d9xr3HRJnkouaEu2bU9wbcm276nWmx9WBhz7xrpFWl2aGdS6kTI3K155GXFm/OmRBj372kHVNPmqhtISo/XkhpVKiHVEYosAxslmtSg9OXrC11stFq1ckB7CHQEAAADjQxIGAAAgzBZfMBfmSOX45sJI52YbfHP9Qjlsvl/f3thZMaGEjiR9/EW9frX9ZMCxr61ZoGuX5wxzxdRnGIauWerbf0f3gMprO804Mc6h731tpVITJ/6BLoDJl0lLMgAAAExjJGEAAADCrCArQXHRvtZXR0+Pby7MeZkpsbrnxiIznmhbsv1lTfrF5uMBx7587Tzdeln+hPY1lVy5JEtDdS6KjbLpyQ0rgxryDSAygn3fLi5MUbSD+U8AAACIDJIwAAAAYWaxGFrkVw1z/EybXG7PhNZas3qOSuYkmfGpmg5tH0dbsqOnW/Xf3zosj99cmlsunaO7rimc0H6mmuT4KC2dlxZwLMpu1XfvX6H8zPgI7QpAMLIuqIQZ74wYu82qq5dmm3FRXtIIZwMAAAChRRIGAABgEizxmwvTP+BWZX3nCGcPz2IY+sYdiwLakr2+s0Jnx9CWrLyuQ8+9/oVcbl8C5ppl2XpgzQIZQQy+nmpuWpVnPrZZDT12zzI+dAWmsZUL0mWznvsZlZcep5SEqHGvcf9Nxfrq9fP11evn686rCkO8QwAAAGB4ttFPAQAAQLCWDDEXZsGc5AmtlZUSq3tuKNIr756b6TLo8ujfNh/Tv/+zS2SxDJ1MqWnq1rO/PijnoNs8dklJhv583cJx/1X5VLdyQbq+fnupTtV06MZL8lSUSwIGmM7Sk2L0d9+8XBV1nVpRnD6hpLHDbtWdVxeGfnMAAADAKKiEAQAAmATpyTEBw6UnOhfmvDWXztGCC9uS7a0Z8tzGtl795NUD6ul3mccWF6boL+9aIqtlZv46eMPKPP3FnYtJwAAzRE5anK5ZlqP4GHuktwIAAACMy8z8r24AAIApaLFfNUxFXad6/ZIi42UxDH1zfWBbsjc+KL+oLVlbl1NPv3pAHT0D5rGi3EQ99tVlstv4VRAAAAAAgHDiv7wBAAAmif9cGI/XqxNngquGyUqN1VdvKDLjAZdHP998TB7vuZkv3X2D+smmA2ru6DfPmZMRp393/wpFO+hKCwAAAABAuJGEAQAAmCSLClLkP8rgyOnWoNe8ZfUcFfu1JTtZ06F399aoz+nST399QHXNPeZzmckxenLDSsVF084HAAAAAIDJQBIGAABgksRG2zUvJ9GMg50LI0kWy7m2ZP6txV5/v1zP/PqAKuu7zGMpCVH63gMrlRQfFfQ9AQAAAADA2JCEAQAAmET+c2EaWnvV2tk/wtljk50aq3uun2/GAy6Pyms7zTg+xq4nN6xUenJM0PcCAAAAAABjRxIGAABgEvnPhZGkI5XBtySTpFsuzVdxXtJFx6MdVn33/hXKTY8LyX0AAAAAAMDYkYQBAACYREV5SYqyW804FHNhpHNtyb6xfmFAWzK7zaK/vnd5QAs0AAAAAAAweUjCAAAA+Dlc0aJnNh3Qmx9WyO3xhHx9m9Wi0rnJZnz0dJs8Xm9I1s5Ji9Ofr1soq8VQfIxdj35lqUrnpox+IQAAAAAACAtbpDcAAAAwVbjcHv33t46oz+nS4cpWtXY59Y11C2UYRkjvs7gwVYfKWyRJ3X2Dqj7brYLshJCsfdWSbK0uyZAkOfwqbgAAAAAAwOSjEgYAAOBPevpd6nO6zPijQ/V6Y2dFyO9z4VyYoyFqSXaew24lAQMAAAAAwBRAEgYAAGAEb39ape17qkO6Zm56nJLjHWYc6iQMAAAAAACYGkjCAAAAjOKV7Se169jZkK1nGIYWF6aacVlNhwZd7pCtDwAAAAAApgaSMAAAAKPwSvrffziqYyGsWFnil4QZdHlUVtMRsrUBAAAAAMDUQBIGAABgGCkJUeZjl9ur5974QlUNXSFZe9GFc2EqaUkGAAAAAMBMQxIGAABgGOuvLNDqkgwz7h9w66evHVRje1/QayfHRykvI86MjzAXBgAAAACAGYckDAAAwDAshvR/37VYJfnJ5rHOngE9s+mAOnsGgl7fvyXZmbPd6uwNfk0AAAAAADB1kIQBAAAYgd1m1eP3LNMcv6qVxrY+/fS1g+pzuoJae7FfEkaSjp1uC2o9AAAAAAAwtYQkCeNyufTLX/5S69ev1/Lly7VmzRr97Gc/0+Dg4Jiudzqdev7557V27VotW7ZMt9xyi/7bf/tv6uzsDMX2AAAAghIbbdd371+ptMRo81hVQ5f+5bdfyOX2THjd0vxk2ayGGdOSDAAAAACAmSUkSZinnnpKP/rRj5ScnKxHHnlEWVlZ+ud//mc9+eSTo147ODiob33rW3ruueeUmZmphx9+WDk5OXrhhRf0rW99SwMDtOUAAACRl5IQpSc2rFB8jN08duR0m37+9jF5vN4JrRnlsKo4L8mMj55ulXeCawEAAAAAgKkn6CTMvn37tGnTJq1du1YbN27U9773PW3cuFF33323tm7dqh07dox4/Ysvvqhdu3bpL/7iL/TSSy/pb//2b/XSSy/pwQcf1MGDB7V58+ZgtwgAABASOWlx+uv7lsth9/0K9dnRs/r1e6cmnDxZ5NeSrLXTqbNtfUHvEwAAAAAATA1BJ2E2btwoSXrsscdkGOfaaRiGoSeeeEKGYei1114b9fq8vDx997vfDTj+zW9+U1/5ylcUFRUV7BYBAABCpig3Sd++e5msFl8bsXd2V2vLrjMTWm/JBXNhjlTSkgwAAAAAgJki6CTMnj17lJKSopKSkoDjWVlZKiws1O7du4e99tSpU6qtrdXNN98su90e8NycOXP0D//wD1q3bl2wWwQAAAip5UVp+vN1CwOOvbajXJ8crh/3WoXZCYqLtpnxUebCAAAAAAAwYwSVhBkYGFBDQ4Pmzp075PN5eXnq7OxUa+vQHyaUlZVJkhYsWKAPPvhADzzwgFasWKFrr71W//AP/6De3t5gtgcAABA21yzL0X03FQUc+8Xm4+NOolgshhYWpJjx8TNt8niYCwMAAAAAwExgG/2U4bW3t0uSEhIShnz+/PGuri6lpqZe9HxjY6MkaceOHdqxY4duuOEGPfDAA9q1a5d+8Ytf6NChQ3rhhRcuqpIZj4yMofcGhBKvMyAQ7wlMV7bo/oA4PiF6xNfzw3cs0YBbemtnuSTJ7fHq6Om2gHPSMxIUZbeOeN8rluVq74kmSVKf063+Ad9cmKgoO+8pzAi8jgEf3g+AD+8HwIf3A3DOTHsvBJWEcblckiSHwzHk8+ePO53OIZ/v6zv3AcOOHTv093//97r//vslSW63W0888YS2bNmiX/3qV/r6178ezDYBAADCwjAMffNLS9Te5dQH+2smvM6qkoyA2EshDAAAAAAAM0JQSZjo6GhJ0uDg4JDPDwwMSJJiYmKGfN5iOdcNbfHixWYCRpKsVqv+9m//Vlu2bNEf//jHoJIwTU1dE74WGM35rCyvM+Ac3hOY7jp6BgLi7q7+Mb2eH7ylWM1tPTpyQRWMJDU3dckxSiWMVVJ6UrSaO/oves7pHOQ9hWmNfxsAH94PgA/vB8CH9wNwzlR/L0y0QieomTDx8fGyWCzq7u4e8vmurnNfrOHalcXHx0s6l4S5UF5enhITE1VdXR3MFgEAAMLOZrXo219ZpoLsiZdML5l3cetWAAAAAAAwvQWVhHE4HMrNzVVNzdDtN2pqapSSkqLk5OQhny8sLJQ0fCWNy+Uyq20AAACmspgom7573wplpvgqgB12i6xWY0zXLykkCQMAAAAAwEwTVBJGklavXq2mpiZVVlYGHD979qyqqqq0cuXKYa9dvny5HA6Hdu/eLbfbHfBceXm5ent7VVpaGuwWAQAAJkVinENPbFipwpxESdKXri6U1TK2X7cWFqRobOkaAAAAAAAwXQSdhLn77rslST/96U/l8XgkSV6vV88884y8Xq82bNgw7LUJCQlat26d6urq9K//+q/m8cHBQf3jP/6jJOmee+4JdosAAACTJjM5Rv/0xI1688df0h1XFY75uvgYuwpzJt7ODAAAAAAATD22YBe4+uqrtX79em3evFkbNmzQFVdcof3792vPnj1au3atbrzxRvPc5557TpL0ne98xzz2/e9/XwcOHNCzzz6rXbt2aeHChfr000917NgxrV+/XmvWrAl2iwAAAJPKYjGkCdS1LC5MVWX91BxACAAAAAAAxi/oShhJ+vGPf6zHH39cbW1teuGFF9Tc3KzHH39cTz/9tAzD9wHE888/r+effz7g2rS0NG3atEkPP/ywKioq9PLLL6u/v19/8zd/o6effjoU2wMAAJgWFjMXBgAAAACAGSXoShhJstvtevTRR/Xoo4+OeN6JEyeGPJ6SkqIf/OAH+sEPfhCK7QAAAExLxXlJctgtGhj0RHorAAAAAAAgBEJSCQMAADBVnKxp1y//eEx7TzRGeivjZrdZVJKfHOltAAAAAACAECEJAwAAZoyBQbee2XRQOw/W62e/PaxD5S2R3tK4LaElGQAAAAAAMwZJGAAAMGM0tvfJOeg2443bTmjAL54OSMIAAAAAADBzkIQBAAAzVlN7vzZ/VhXpbYxLXkackuIcZhxlt0ZwNwAAAAAAIBgkYQAAwIy2+bMzamzrjfQ2xswwDH3l+vmSpCiHVdcsy4nwjgAAAAAAwETZIr0BAACAcHK5Pdq47aT+3X3LZRhGpLczJtevyNWqBekyDEPxMfZIbwcAAAAAAEwQlTAAAGDG+6KiRfvKmiO9jXFJiHWQgAEAAAAAYJojCQMAAGaFV94tk3PAHeltAAAAAACAWYQkDADMEF6vVx6vN9LbAKaUjORo83Frp1O//+R05DYDAAAAAABmHZIwADAD7D7eqEd/ulP/8V8/09nW6TOAHAi3O64qVGKcw4y37jqj+paeCO4IAAAAAADMJiRhAGCaa27v07/94aj6B9xqbOvT1t3Vkd4SMGXERtm04aZiM3Z7vHr5nTJ5qRoDAAAAAACTgCQMAExjXq9XG7eVacDlMY9V1ndGcEfA1HPlkiyV5ieb8bGqNu061hjBHQEAAAAAgNmCJAwATGP7ypp1sLwl4FhtU4/cHs8wVwCzj2EYeui2Elkthnns1fdOqs/piuCuAAAAAADAbEASBgCmqT6nS7/aXnbRcZfbo4bWvgjsCJi68jLideul+Wbc0T2gtz6qjOCOAAAAAADAbEASBgCmqbc+qlRbl3PI52oauyd5N8DUd9e1hUpJiDLj7XtqeK8AAAAAAICwIgkDANNQVUOXtu2pNuOkeIcMv+er+WAZuEi0w6avrVlgxh6vVy+9c0JerzeCuwIAAAAAADMZSRgAmGY8Hq9e3Hpc/p8bP3hLiTJTYsyYJAwwtNWlGVoyL9WMT9Z06JPDDRHcEQAAAAAAmMlIwgDANPP+gVpV1neZ8fKiNK0uzVB+Zrx5rLqxa6hLgVnPMAw9dGuJbFZf7divd5xST/9gBHcFAAAAAABmKpIwADCNdHQ79foH5WbssFn04K0lMgwjIAnT3j2grt6BSGwRmPKyUmN1+xUFZtzVO6g3dlZEcEcAAAAAAGCmIgkDANPIK++eVJ/TbcZfuqZQGcnn2pDlZyYEnEtLMkxHrZ39+t9/OKoXthxXn9MVtvvccVWB0pOizfj9fbU63dAZtvsBAAAAAIDZiSQMAEwThytbtOtYoxnnpcdp7eVzzdi/EkYiCYPp6fUPKvTJ4QZ9cKBOv/jj8bDdJ8pu1Z/dUmLGXkkvbS2T13/YEgAAAAAAQJBIwgDANDAw6NbLW8sCjj28tlQ2q+/HeGpilGKjbGZcQxIG01BdS4/5eM/xRtU0he91vHJBulYWp5txZX2ndh6sC9v9AAAAAADA7EMSBgCmgbc/rVJje58ZX7c8RyX5yQHnXDgXhkoYzAR/+OR0WNf/2i0LZLf5fh16+9OqsN4PAAAAAADMLiRhAGCKq2/p0ebPfB8Mx8fYdd9NxUOeO8cvCVPX0iOX2xP2/QHhtPtYo+qae0Y/cYIykmN051UFZjzo4j0DAAAAAABChyQMAExhXq9XL209IbfHN6diw83Fio+xD3m+fyWMy+1VQ0tv2PcIhJNX0h8+PR3We9x+RYGyUmLCeg8AAAAAADA7kYQBgCnsk8MNOn6m3YxL85N19dLsYc/3T8JItCTDzPD50bNqaA1fQtFus+jB20rCtj4AAAAAAJi9SMIAwBTV3TeoTe+dMmOrxdDDa0tlGMaw1+Slx8n/aZIwmAm8XuntMM+GWTovTZeWZoT1HgAAAAAAYPYhCQMAU9Rv3j+l7r5BM1535VzlpseNeI3DblV2aqwZVzd2hW1/wGT69MhZNbaFt73eA2sWKMpuDes9AAAAAADA7EISBgCmoJM17dp5sN6MM5KjdedVhWO61r8lGZUwmM5iomzmY4/Xq7c/rQrr/VITo3XXtYUBx6xWflUCAAAAAAATxycLADDFuNwevbj1RMCxh28rlWOMf6Hvn4Tp7B1UR89ASPcHTJYFc5JUkJVgxp8cblBze19Y73nrpfkqnpMk6VwSaOm81LDeDwAAAAAAzGwkYQBgitm2u1q1TT1mfPmiTC2dnzbm6/2TMBItyTC93XVNofnY7fFq82fhrYaxWS36mwdW6skHVuq/fusKpSZGh/V+AAAAAABgZiMJAwBTSHN7n976qNKMY6KsemDNgnGtkZ+ZEBDTkgzT2coF6QGJxQ8P1au1sz+s97TbrFpSmKqUhKiw3gcAAAAAAMx8JGEAYIrwer16eVuZBlwe89hXry9Scvz4PghOjncoPsZuxiRhMJ0ZhqEvXV1oxpNRDQMAAAAAABAqJGEAYIrYV9akQ+UtZlyYnaCbVuWNex3DMAIqB0jCYLq7pDRDeelxZrzzYJ3aupwR3BEAAAAAAMDYkIQBgCmgz+nSr7afNGPDkL5++0JZLMaE1vNPwjS09GrQr7oGmG4shqEv+c2Gcbm9+uPnVMMAAAAAAICpjyQMAEwBb35YGfCX/WtWz1FBdsIIV4zMPwnj9nhV19wT1P6ASLu0NFM5abFm/MGBOrV3Uw0DAAAAAACmNpIwABBhVQ1d2r632oxTEqL0levmB7WmfxJGkmqaaEmG6c1iMXSn32yYQZdHWz4/E7kNAQAAAAAAjAFJGACIII/Hqxe3HpfX6zv2tTULFBNlC2rdnLQ4Wf1amTEXBjPB5YsylZUSY8bv769VZ89ABHcEAAAAAAAwMpIwABBB7x+oVWV9lxkvL0rT6tKMoNe12yzK9mvdRBIGM4HVYgmohhlwebR1F9UwAAAAAABg6iIJAwAR0t7t1OsflJuxw2bRQ7eWyDCMEa4aO/+WZNWN3fL6l9sA09SVS7KUkRxtxu/tq1VXL9UwAAAAAABgaiIJAwAR8uq7J9XndJvxXdfOU3pyzAhXjI9/Eqa7b1Dt3XxQjenParHozqsKzdg56NY7u6uHvwAAAAAAACCCSMIAQAQcrmzRrmONZpyXHqfbLssP6T38kzCSVN3YNcyZwPRy1dJspSX6qmHe3Vuj7r7BCO4IAAAAAABgaCRhAGCSDQy69fLWsoBjD68tlc0a2h/J+ZkJATFzYTBT2KwW3XF1gRn3D7i1fQ/VMAAAAAAAYOohCQNg1mvrcurjL+rV0tE/Kff7w6dVamzvM+PrlueoJD855PdJinMoMc5hxiRhMJNcszRHqYlRZrxtT416+6mGAQAAAAAAUwtJGACzmsvt0d+/sFv/9vYx/eB/f67y2o6w3q++pUd//KzKjONj7LrvpuKw3S8/I858HO4kzI59NfrO0zv04uajYb0PIEl2m0Xrr/RVw/Q5Xdq+tyaCOwIAAAAAALgYSRgAs1pNU7c5sN456Nazrx1UbXNPWO7l9Xr14pYTcnu85rENNxcrPsYelvtJgS3JGlp7NTDoDst9zrb26uVtZTpd36nX3j2p41VtYbkPpr7mjj79YvMxvf5BuQZdnrDe67rlOUqO91V7bdtdrX5neF7jAAAAAAAAE0ESBsCs5rngM+Kefpee2XRArZ2hb032yeEGnahuN+PS/GRdvTQ75Pfxl58Zbz72ehW2BNOeE43y+nJLOkoSZtZ6aWuZPjxUr7c/rdLGbWWjXxAEu82qdX7VMD39Lr23j2oYAAAAAAAwdZCEAYALtHU59ZNNB9TdF7r5Et19g9r03ikztloMPXJ7qQzDCNk9huKfhJHC15JsX1lzQBzutm6Yumqbfa+xDw/WqbwuvK+FG1bkBsw++vzY2bDeDwAAAAAAYDxIwgDAEOpbevXsawfVP+AKyXq/ef9UQFJn3ZUFykmLG+GK0MhOi5XN6kv0hCMJ09blVGV9Z8CxivpOefzarmF28kp6eWtZWF8LDrtV666Y67snLzsAAAAAADCFkIQBAD/+hSkVdZ36l98elssd3FyLsup27TxYb8aZyTG686qCEa4IHZvVoly/ZE84kjD7TzZddMw54FZdmFqfYXqpOtulDw7UhvUeN67MU0Js+GYrAQAAAAAATBRJGADwc9+NxYqLtpnx4cpW/fztY/JM8M/rXW6PXtp6IuDYQ7eVyGG3BrXP8fBvSVbd2C1viEsF9pVdnISRpFNhbkOF6eP1DyrU2TMQtvWjHFbdfvnc0U8EAAAAAACYZCRhAMBPbnqs/vq+FXLYfT8ePzt6Vq9uPzmh5MU7u6tV61cRcvmiTC2dnxaSvY7VHL8kTJ/TpdZOZ8jW7ukf1Ikz7UM+V1HbOeRxzD69Tpd+8355WO9x0yV5io+hGgYAAAAAAEwtJGEA4ALFeUn69t3LZLX4epNt31ujtz+tGtc6ze19+t1HlWYcE2XVA2sWhGyfY+VfCSOFtiXZoVMtcvvN+/Cv8An3QHZMLx99Ua9TNeF7TUQ7bLrtsvywrQ8AAAAAADARJGEAYAjLi9L0zfWLAo69sbNizLMtvF6vXt5WpgGXb57MV68vUnJ8VEj3ORYXJ2G6Qra2fysyh82i26/0zbqpb+lVd99gyO6F6SczJSYgfumdE3J7gpuxNJI1q+coNso2+okAAAAAAACThCQMAAzjqqXZF1WuvLj1hPaeGHoGir+9J5p0qLzFjOflJOimVXkh3+NYJMQ6lBzvMONQVcIMDLr1RaXv/+PS+WlaXpwecE5lPS3JZrOSOcm6dGGmGVc3dmvHvrElMiciJuriahjDMIY5GwAAAAAAIPxIwgDACG67LF/r/ao7vF7pf/7uiI5XtQ17TZ/TpV9tLzNjw5AeWbtQFkvkPgzOz0wwH4cqCXOkslUDg76qhktK0lVakBpwTnktLckm0/Y91frev3ysf3v7qDwTmGEUDg/cXKwovzZ1v/2wQh3doZtLdKFbLp2jtMRoSZLdZtGC/KSw3QsAAAAAAGA0JGEAYBT33DBf1y7PMWOX26Pn3jikM2eHbuv12w8r1N49YMa3rM5XQXbCkOdOFv+WZI1tfXIOuINec99JX0WQxTC0ojhdyQlRyk6LNY+ThJk8fU6XXnu/XK2dTn38RYN2HTsb6S1JklITo3XXtYVm3Od069c7ysN2v9hou/7DQ5foz9ct1FPfvFyJsY7RLwIAAAAAAAgTkjAAMArDMPT120u1aoGv1Vaf061nfn1QjW29AedWNXTp3b01ZpySEKW7r5s3aXsdjn8Sxiuppim4ahi3x6ODp3ytyErnJisu2i5JWuhXDVNR3zllKjJmup6+QQ36zSA65Pf9ibRbL81XbnqcGX96pEEnzgxfTRas1MRoXb8iV1mpsaOfDAAAAAAAEEYkYQBgDKwWi/7yriUqyU82j3X2DOgnmw6YrZU8Hq9e2HJc/jmHP7tlgWKmwKDwOX5JGCn4lmRl1R3q7hs040tKMszHpQUp5uM+p1v1zT1B3QsTc7iydcokwGxWix66tSTg2MvbyuRye4a5AgAAAAAAYGYgCQMAY+SwW/X4Pcs0J8OX0Ghq79czvz6o3n6Xduyv1ekGX4uy5UVpAcmJSMpOjZHN6vuRXx1kJSwqQdcAACAASURBVMz+sqaA2L9KaOGFc2HqOoO6Fyamu29w2JZ5kbCwIEVXLs4y49qmHr3nVzUGAAAAAAAwE5GEAYBxiI2264kNK5SeFG0eq27s1rO/Oag3dvrmXDhs5/7y3zCMSGzzIlaLRXkZvnZQwVTCeL1e7febBzMvJ0Gpib6vR2Fuohw23z8vzIWJnMMVrZHeQoD7by5WtMNqxm9+VKm2LmcEdwQAAAAAABBeJGEAYJyS46P05AMrlRhrN4+dqulQn9M37P6ua+cpPTkmEtsblv9cmJrG7gm3qqo626WWTt8H5xdW+9isFhVmJ5gxlTCRc7hyaiVhkuOjdPd18824f8CtX+84FcEdAQAAAAAAhBdJGACYgKyUWH33/pUBf9V/Xl56nG67LD8CuxqZfxKmf8Ct5o7+Ca2z74JWZEO1XCvKSzIf1zX3qLd/8KJzEH7ltR3qc7rGfL7H69X7B2r1yvaTamrvC8ue1qzO0xy/qqzPj57VsdNTK1kEAAAAAAAQKiRhAGCCCrIT9J17lstmDWw59sjtpQHzV6aKuX5JGEmqPjuxlmT7y5rNxzlpscpJi7vonPm5SQFxRT3VMJHg9nh1vKptzOcfOtWiF7ec0LY91frJqwfkcntCvierxaKHbisNOPbytrKw3AsAAAAAACDSpt6nhAAwjSwqSNFf3rVUDvu5H6d3XFWgBXOSI7yroc25MAnTOP6h7Wdbe1Xb3GPGqxZcXAUjScV5iQFxeS1JmEgZT0uy0w2+71Nje58+O3I2HFtSSX6yrl6abcb1Lb3atqc6LPcCAAAAAACIJFukNwAA093q0gwVz7lafU6XslNjI72dYcVF25WaGKXWP81zqW4cfyXMWFqRSVJSfJTSk6LNlmfldR3jvhdC43Bly4Sv/ePnVbp6WbYshjH6yeN0303F2n+y2WyX9ruPTuuKRVkhvw8AAAAAAEAkUQkDACGQFOeY0gmY8/IzfNUwNU3BJWFSEqJUmJMw7Lnzc33VMBW1nfJ4vaOuv7+sSe/sOsMMmRBqau/X2bbeCV1b39KrgyebRz9xApLiHPrq9fPN2Dno1qvvnQrLvQAAAAAAACKFJAwAzCL5Wb4kTFN7/7iGtrd3O1Ve52tXtWpB+ogVEkV5vrkwvU6XGlpGTgTsPdGk5974Qq++d0r/43dHxrwvjO5wxcQH32/+rEreMSTQJuLGVbkBs4r2HG9UfUvPCFcAAAAAAABMLyRhAGAWyc8MrFwZTzXM/gsqIlYN04rsvGK/JIw0ekuykzXt5uMjla0adLnHvDeM7Mg45sJcqLyuU2XV7aOfOAFWi0UPrS0NODYw6AnLvQAAAAAAACKBJAyAaW1g0K0/flalHftrx9TuarbL96s6kMY3F8a/FVlctE2l+cmj3stu8/0zU17bOcLZgbzec62wMHH+VUrHzrTJ5Z54cuOPn58JxZaGVJyXpGuX54RtfQAAAAAAgEgiCQNg2vJ6vXru9UN67f1yvbT1hDa9yzyJ0WQmx8hh9/3oH2sSprd/UMer2sx4eVG6bNaR/wmxWS0qyPZV3oxWCXOh2ibaUgWjKM83k8c54FZ57fi+/v4OlbeMK2E3XvfeWKS4aFvY1gcAAAAAAIgUkjAApq1PDjfoyGlfYmD7nmpV1o+92mI2slgMzcnwVcOM9YP1Q+Utcnt8lUaXlKSP6briXF9LsrqmnnHNoKltJgkTjCXzUgPiw0G0JJOkP35eFdT1I0mMdeirNxSFbX0AAAAAAIBIIQkDYFrq7hvUpvcCK1+8kl7cckJuDzMlRuKfhKlp6pbHM3obN/9WZHabRUvnpY3pXvNzfdUYXkkV40iS1ZGECUpqQrRy0mLN+HDF+JMwJX4t53YdbVRze19I9jaUG1bkqjA7YfQTAQAAAAAAphGSMACmpdd2nFJ33+BFx6vOdum9vbUR2NH04T8XZmDQo8ZRPlgfGHTrC78P8JfOS1WUwzqmexXlJQXE42mJVdscvvZXs4V/sqzqbJc6ewbGdf36K+eajz1er7buqg7Z3i5ksRh6eG2pDL9jVosx7PkAAAAAAADTAUkYANNOWXW7PjxUb8bpSdGKsvuSAm98WKG2LmcktjYt+CdhJKlmlJZkR6va5Bx0m/ElJRljvldKQpTSEqPMuKJu7JUwze39cg64Rz8Rw1o6P7Al2ZHT46uGWTY/TXMy4sx456G6cSdyxmNeTqLWXu5L/KwoHlvbOwAAAAAAgKmKJAyAacXl9uilrScCjj1ye6m+fO08M3YOuPWr7WWTvbVp48IkzJlRkjD+rcgshjHuD8bn+82FKa/tkNc7evsz6Vz7sroWWpIFoyQ/WTar75/68bYkMwxD664sMONBl0fb99aEbH9Due+mIj1x/wp9/89W6foVuWG9FwAAAAAAQLiRhAEwrWzddSZgYPvlizK1dF6abr1sTkByYe+JJh081RyJLU55MVE2pSdFm/FIlTBuj0cHTvq+jiX5SYqPsY/rfv4tyXr6XWpo7R3ztcyFCU6U3arSfN/X/8jpVnnGmAQ77/JFmQGvlx37atTndIVsjxcyDENL56epdG5K2O4BAAAAAAAwWUjCAJg2mtr79PuPT5txTJRNX1uzQJJktVj0yAXzJDZuKwtoowUf/4RVdWPXsOedqukImL0znlZk5xXlJQbE42lJVksSJmhL/ObCdPYMjNp+7kJWiyWgRVhPv0s7D9aFbH8AAAAAAAAzGUkYANOC1+vVy++UacDlMY/de8N8JcX75o0U5SXphlV5Ztzc0R+QtIGPfxKmpdOpnv7BIc/bVxZYTTSRJMzczATZrL70WHltx5ivpRImeBfOhTlcOb6WZJJ07fKcgAqod3ZXy+X2jHAFAAAAAAAAJJIwAKaJPSea9EVFixnPz00MSLicd+8N85UY6/uweOuuM6ppGt9f/s8GF86FGao6wuv1BsyDKchOUGpi9EXnjcZus6ggO8GMy8dTCcP3Lmh56XFKSfAlKw/7vY/GKspu1a2XzjHjti6nPj3SEJL9AQAAAAAAzGQkYQBMeb39Lv1qe5kZWwxDj6wtlcUwLjo3NtquB/7UokyS3B6vXtx6YtxzMGa6C5MwZ4ZIwpw5262Wzn4znkgVzHlFub65JDVN3WOeKdLS6Qzr/JHZwDAMLSn0VcOcrOlQ/8D4v6Y3XTJHUXarGW/5/AzvKwAAAAAAgFGQhAEw5f32wwp1dA+Y8a2XzdHcrIRhz79icZYWF/qGep+q6dBHh+r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-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 816
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 841
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 856
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1008x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 480,
-       "width": 841
-      }
-     },
-     "output_type": "display_data"
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for i, capital in enumerate(capitals):\n",
-    "    plt.plot(capital)\n",
-    "    plt.title('Capital over time, {}% OTM'.format(otm_percentages[i]))\n",
-    "    plt.show()"
+    "returns_chart(balances[0]) & returns_chart(balances[1]) & returns_chart(balances[2]) & returns_chart(balances[3]) & returns_chart(balances[4]) & returns_chart(balances[5]) & returns_chart(balances[6]) & returns_chart(balances[7]) & returns_chart(balances[8])   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-22\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  (function(spec, embedOpt){\n",
+       "    const outputDiv = document.getElementById(\"altair-viz-22\");\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.0.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function loadScript(lib) {\n",
+       "      return new Promise(function(resolve, reject) {\n",
+       "        var s = document.createElement('script');\n",
+       "        s.src = paths[lib];\n",
+       "        s.async = true;\n",
+       "        s.onload = () => resolve(paths[lib]);\n",
+       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "      });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else if (typeof vegaEmbed === \"function\") {\n",
+       "      displayChart(vegaEmbed);\n",
+       "    } else {\n",
+       "      loadScript(\"vega\")\n",
+       "        .then(() => loadScript(\"vega-lite\"))\n",
+       "        .then(() => loadScript(\"vega-embed\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "monthly_returns_heatmap(balances[0]) & monthly_returns_heatmap(balances[1]) & monthly_returns_heatmap(balances[2]) & monthly_returns_heatmap(balances[3]) & monthly_returns_heatmap(balances[4]) & monthly_returns_heatmap(balances[5]) & monthly_returns_heatmap(balances[6]) & monthly_returns_heatmap(balances[7]) & monthly_returns_heatmap(balances[8])   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-23\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  (function(spec, embedOpt){\n",
+       "    const outputDiv = document.getElementById(\"altair-viz-23\");\n",
+       "    const paths = {\n",
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+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
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+       "        s.src = paths[lib];\n",
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+       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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+       "      displayChart(vegaEmbed);\n",
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+       "      loadScript(\"vega\")\n",
+       "        .then(() => loadScript(\"vega-lite\"))\n",
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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.VConcatChart(...)"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "returns_histogram(balances[0]) & returns_histogram(balances[1]) & returns_histogram(balances[2]) & returns_histogram(balances[3]) & returns_histogram(balances[4]) & returns_histogram(balances[5]) & returns_histogram(balances[6]) & returns_histogram(balances[7]) & returns_histogram(balances[8])   "
    ]
   },
   {