Simulations_Main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "import talib\n",
    "from model.models import TradeModel\n",
    "from service.trade_analysis import plot_correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous allons utiliser plusieurs indicateurs  :\n",
    "- Keltner X,\n",
    "- ATR,\n",
    "- EMA12,\n",
    "- EMA30 \n",
    "- DONCHIAN.\n",
    "- Dimensions des bougie\n",
    "- des corps des bougies\n",
    "- position du corps sur la bougie\n",
    "- Distance entre : les moving averages et la keltner\n",
    "- Distance entre prix courrant et les ema et les keltner\n",
    "\n",
    "Ceci pour tout les périodes 30 min, 1 heure, 4 h et jour...  Ensuite nous allons donner des données supplémentaires. Dimensions des bougie, des corps des bougies, position du coprs sur la bougie. Nous allons aussi donner quelque distance en pips... Distance entre : les moving averages et la keltner, Distance entre prix courrant et les ema et les keltner.... Nous allons aussi essayer de calcluler (en utilisant le DONCHIAN) la distance pour le prochain gros plateau. Nous allons tout écrire dans le document...  Le but c'est de donner les bonnes données à l'algo pour qu'elle nous donne une prediction SHORT ou long ou le RR est de 1.25 ou plus. Nous allons essayer avec 9 pips lost et 11 pips profit et nous allons augmenter et voir les resultats...  On peu aller justqu'a lost 80 pips win 100 pips..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>KC_M_3</th>\n",
       "      <th>KC_U_3</th>\n",
       "      <th>KC_D_3</th>\n",
       "      <th>Donchian_High_3</th>\n",
       "      <th>Donchian_Low_3</th>\n",
       "      <th>ATR</th>\n",
       "      <th>EMA12</th>\n",
       "      <th>EMA30</th>\n",
       "      <th>cs_size</th>\n",
       "      <th>cs_body_size</th>\n",
       "      <th>cs_body_pos</th>\n",
       "      <th>cs_body_ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (UTC)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>1.05148</td>\n",
       "      <td>1.05288</td>\n",
       "      <td>1.05148</td>\n",
       "      <td>1.05230</td>\n",
       "      <td>352.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00140</td>\n",
       "      <td>-0.00082</td>\n",
       "      <td>1.051890</td>\n",
       "      <td>0.000290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-02</th>\n",
       "      <td>1.05230</td>\n",
       "      <td>1.05260</td>\n",
       "      <td>1.04501</td>\n",
       "      <td>1.04575</td>\n",
       "      <td>87951.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00759</td>\n",
       "      <td>0.00655</td>\n",
       "      <td>1.049025</td>\n",
       "      <td>-0.000220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>1.04575</td>\n",
       "      <td>1.04901</td>\n",
       "      <td>1.03403</td>\n",
       "      <td>1.04174</td>\n",
       "      <td>218296.05</td>\n",
       "      <td>1.04720</td>\n",
       "      <td>1.055190</td>\n",
       "      <td>1.039210</td>\n",
       "      <td>1.05288</td>\n",
       "      <td>1.03403</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01498</td>\n",
       "      <td>0.00401</td>\n",
       "      <td>1.043745</td>\n",
       "      <td>-0.002225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>1.04174</td>\n",
       "      <td>1.05013</td>\n",
       "      <td>1.03900</td>\n",
       "      <td>1.04971</td>\n",
       "      <td>228092.48</td>\n",
       "      <td>1.04522</td>\n",
       "      <td>1.056453</td>\n",
       "      <td>1.033987</td>\n",
       "      <td>1.05260</td>\n",
       "      <td>1.03403</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01113</td>\n",
       "      <td>-0.00797</td>\n",
       "      <td>1.045725</td>\n",
       "      <td>-0.001160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>1.04968</td>\n",
       "      <td>1.06153</td>\n",
       "      <td>1.04826</td>\n",
       "      <td>1.06039</td>\n",
       "      <td>273330.28</td>\n",
       "      <td>1.04820</td>\n",
       "      <td>1.061327</td>\n",
       "      <td>1.035073</td>\n",
       "      <td>1.06153</td>\n",
       "      <td>1.03403</td>\n",
       "      <td>0.011742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01327</td>\n",
       "      <td>-0.01071</td>\n",
       "      <td>1.055035</td>\n",
       "      <td>-0.000140</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close    Volume    KC_M_3    KC_U_3  \\\n",
       "Time (UTC)                                                                     \n",
       "2017-01-01  1.05148  1.05288  1.05148  1.05230     352.85      NaN       NaN   \n",
       "2017-01-02  1.05230  1.05260  1.04501  1.04575   87951.00      NaN       NaN   \n",
       "2017-01-03  1.04575  1.04901  1.03403  1.04174  218296.05  1.04720  1.055190   \n",
       "2017-01-04  1.04174  1.05013  1.03900  1.04971  228092.48  1.04522  1.056453   \n",
       "2017-01-05  1.04968  1.06153  1.04826  1.06039  273330.28  1.04820  1.061327   \n",
       "\n",
       "              KC_D_3  Donchian_High_3  Donchian_Low_3       ATR  EMA12  EMA30  \\\n",
       "Time (UTC)                                                                      \n",
       "2017-01-01       NaN              NaN             NaN       NaN    NaN    NaN   \n",
       "2017-01-02       NaN              NaN             NaN       NaN    NaN    NaN   \n",
       "2017-01-03  1.039210          1.05288         1.03403       NaN    NaN    NaN   \n",
       "2017-01-04  1.033987          1.05260         1.03403       NaN    NaN    NaN   \n",
       "2017-01-05  1.035073          1.06153         1.03403  0.011742    NaN    NaN   \n",
       "\n",
       "            cs_size  cs_body_size  cs_body_pos  cs_body_ratio  \n",
       "Time (UTC)                                                     \n",
       "2017-01-01  0.00140      -0.00082     1.051890       0.000290  \n",
       "2017-01-02  0.00759       0.00655     1.049025      -0.000220  \n",
       "2017-01-03  0.01498       0.00401     1.043745      -0.002225  \n",
       "2017-01-04  0.01113      -0.00797     1.045725      -0.001160  \n",
       "2017-01-05  0.01327      -0.01071     1.055035      -0.000140  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tm = TradeModel('data/simple/EURUSD_UTC_Daily_Bid_2017.01.01_2017.02.20.csv', name='EURUSD')\n",
    "\n",
    "tm.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ramon/anaconda2/lib/python2.7/site-packages/numpy/lib/function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>KC_M_3</th>\n",
       "      <th>KC_U_3</th>\n",
       "      <th>KC_D_3</th>\n",
       "      <th>Donchian_High_3</th>\n",
       "      <th>Donchian_Low_3</th>\n",
       "      <th>ATR</th>\n",
       "      <th>EMA12</th>\n",
       "      <th>EMA30</th>\n",
       "      <th>cs_size</th>\n",
       "      <th>cs_body_size</th>\n",
       "      <th>cs_body_pos</th>\n",
       "      <th>cs_body_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.064370</td>\n",
       "      <td>1.067975</td>\n",
       "      <td>1.060545</td>\n",
       "      <td>1.064620</td>\n",
       "      <td>187482.933182</td>\n",
       "      <td>1.064769</td>\n",
       "      <td>1.072409</td>\n",
       "      <td>1.057130</td>\n",
       "      <td>1.071033</td>\n",
       "      <td>1.057379</td>\n",
       "      <td>0.007804</td>\n",
       "      <td>1.066178</td>\n",
       "      <td>1.065213</td>\n",
       "      <td>0.007430</td>\n",
       "      <td>-0.000250</td>\n",
       "      <td>1.064495</td>\n",
       "      <td>-0.000235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.009204</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.009458</td>\n",
       "      <td>0.008901</td>\n",
       "      <td>93559.109466</td>\n",
       "      <td>0.008354</td>\n",
       "      <td>0.007808</td>\n",
       "      <td>0.009411</td>\n",
       "      <td>0.007590</td>\n",
       "      <td>0.010070</td>\n",
       "      <td>0.001508</td>\n",
       "      <td>0.005925</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>0.003719</td>\n",
       "      <td>0.004589</td>\n",
       "      <td>0.008758</td>\n",
       "      <td>0.001297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.041740</td>\n",
       "      <td>1.049010</td>\n",
       "      <td>1.034030</td>\n",
       "      <td>1.041740</td>\n",
       "      <td>352.850000</td>\n",
       "      <td>1.045220</td>\n",
       "      <td>1.055190</td>\n",
       "      <td>1.033987</td>\n",
       "      <td>1.052600</td>\n",
       "      <td>1.034030</td>\n",
       "      <td>0.005162</td>\n",
       "      <td>1.053507</td>\n",
       "      <td>1.063501</td>\n",
       "      <td>0.000980</td>\n",
       "      <td>-0.010710</td>\n",
       "      <td>1.043745</td>\n",
       "      <td>-0.003480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.059750</td>\n",
       "      <td>1.062922</td>\n",
       "      <td>1.055832</td>\n",
       "      <td>1.060133</td>\n",
       "      <td>186864.017500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005772</td>\n",
       "      <td>-0.002508</td>\n",
       "      <td>1.059009</td>\n",
       "      <td>-0.001066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.062835</td>\n",
       "      <td>1.067805</td>\n",
       "      <td>1.060645</td>\n",
       "      <td>1.064085</td>\n",
       "      <td>226320.770000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007610</td>\n",
       "      <td>0.000215</td>\n",
       "      <td>1.064240</td>\n",
       "      <td>-0.000082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.071352</td>\n",
       "      <td>1.074125</td>\n",
       "      <td>1.066495</td>\n",
       "      <td>1.070877</td>\n",
       "      <td>240012.957500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008800</td>\n",
       "      <td>0.003150</td>\n",
       "      <td>1.071366</td>\n",
       "      <td>0.000396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.080080</td>\n",
       "      <td>1.082880</td>\n",
       "      <td>1.077800</td>\n",
       "      <td>1.080080</td>\n",
       "      <td>287661.600000</td>\n",
       "      <td>1.077658</td>\n",
       "      <td>1.086420</td>\n",
       "      <td>1.071914</td>\n",
       "      <td>1.082880</td>\n",
       "      <td>1.071150</td>\n",
       "      <td>0.011742</td>\n",
       "      <td>1.074210</td>\n",
       "      <td>1.066279</td>\n",
       "      <td>0.016910</td>\n",
       "      <td>0.007490</td>\n",
       "      <td>1.078600</td>\n",
       "      <td>0.002885</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Open       High        Low      Close        Volume      KC_M_3  \\\n",
       "count  44.000000  44.000000  44.000000  44.000000      44.000000  42.000000   \n",
       "mean    1.064370   1.067975   1.060545   1.064620  187482.933182   1.064769   \n",
       "std     0.009204   0.008639   0.009458   0.008901   93559.109466   0.008354   \n",
       "min     1.041740   1.049010   1.034030   1.041740     352.850000   1.045220   \n",
       "25%     1.059750   1.062922   1.055832   1.060133  186864.017500        NaN   \n",
       "50%     1.062835   1.067805   1.060645   1.064085  226320.770000        NaN   \n",
       "75%     1.071352   1.074125   1.066495   1.070877  240012.957500        NaN   \n",
       "max     1.080080   1.082880   1.077800   1.080080  287661.600000   1.077658   \n",
       "\n",
       "          KC_U_3     KC_D_3  Donchian_High_3  Donchian_Low_3        ATR  \\\n",
       "count  42.000000  42.000000        42.000000       42.000000  40.000000   \n",
       "mean    1.072409   1.057130         1.071033        1.057379   0.007804   \n",
       "std     0.007808   0.009411         0.007590        0.010070   0.001508   \n",
       "min     1.055190   1.033987         1.052600        1.034030   0.005162   \n",
       "25%          NaN        NaN              NaN             NaN        NaN   \n",
       "50%          NaN        NaN              NaN             NaN        NaN   \n",
       "75%          NaN        NaN              NaN             NaN        NaN   \n",
       "max     1.086420   1.071914         1.082880        1.071150   0.011742   \n",
       "\n",
       "           EMA12      EMA30    cs_size  cs_body_size  cs_body_pos  \\\n",
       "count  33.000000  15.000000  44.000000     44.000000    44.000000   \n",
       "mean    1.066178   1.065213   0.007430     -0.000250     1.064495   \n",
       "std     0.005925   0.000841   0.003719      0.004589     0.008758   \n",
       "min     1.053507   1.063501   0.000980     -0.010710     1.043745   \n",
       "25%          NaN        NaN   0.005772     -0.002508     1.059009   \n",
       "50%          NaN        NaN   0.007610      0.000215     1.064240   \n",
       "75%          NaN        NaN   0.008800      0.003150     1.071366   \n",
       "max     1.074210   1.066279   0.016910      0.007490     1.078600   \n",
       "\n",
       "       cs_body_ratio  \n",
       "count      44.000000  \n",
       "mean       -0.000235  \n",
       "std         0.001297  \n",
       "min        -0.003480  \n",
       "25%        -0.001066  \n",
       "50%        -0.000082  \n",
       "75%         0.000396  \n",
       "max         0.002885  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tm.df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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6Z8szAQoLC1myZAkDBgwos29xcTGdOnXioYcewmAw0LRpU2644Qa2b99epXjD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\nK/vgc7vwud343W58LlfJf91uFJudS+x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Hh25gnbOWu/bOwPr8UkKXFmAd3LIy5UDCtuTR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\nTPLIgrgo2bDsXr++/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XUoGfHnZneTXgdJLN0yzKdPn95mu6qqjB07luuuu47RowflqPsL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\nRERERF7gP/pGhkv+NNx7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5c9b07ccd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tm.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0Hn30UapUqcLs2bP55ptvaNKkCX/5y1945plneOWVV8rq0kVERMTO6JlGG6tVqxbTp08v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5c984f9bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation(tm.df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We see that Keltner, Donchian and cs_body_position have strong correlation with other parameters.\n",
    "- On the opposite, **ATR, EMA30 and candlestick body ratio(cs_body_ratio)** have a low correlation with others.\n",
    "It might be interesting to focus on those last 3, as the others might suffer from collinearity.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Back to the future : Correlation amongst currencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- last december, i tried to implement a prediction model (first regression, then classification) using as predictors the others currencies.\n",
    "- the result was bad (both precision and recall)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Ask_EURUSD</th>\n",
       "      <th>Bid_EURUSD</th>\n",
       "      <th>AskVolume_EURUSD</th>\n",
       "      <th>BidVolume_EURUSD</th>\n",
       "      <th>spread_EURUSD</th>\n",
       "      <th>spread_volume_EURUSD</th>\n",
       "      <th>Ask_EURGBP</th>\n",
       "      <th>Bid_EURGBP</th>\n",
       "      <th>AskVolume_EURGBP</th>\n",
       "      <th>...</th>\n",
       "      <th>AskVolume_EURCHF</th>\n",
       "      <th>BidVolume_EURCHF</th>\n",
       "      <th>spread_EURCHF</th>\n",
       "      <th>spread_volume_EURCHF</th>\n",
       "      <th>Ask_BRENTCMDUSD</th>\n",
       "      <th>Bid_BRENTCMDUSD</th>\n",
       "      <th>AskVolume_BRENTCMDUSD</th>\n",
       "      <th>BidVolume_BRENTCMDUSD</th>\n",
       "      <th>spread_BRENTCMDUSD</th>\n",
       "      <th>spread_volume_BRENTCMDUSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>491810.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353188.000000</td>\n",
       "      <td>353159.000000</td>\n",
       "      <td>353159.000000</td>\n",
       "      <td>353159.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>349655.000000</td>\n",
       "      <td>349655.000000</td>\n",
       "      <td>349655.000000</td>\n",
       "      <td>349655.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "      <td>283487.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>245904.500000</td>\n",
       "      <td>1.110793</td>\n",
       "      <td>1.110761</td>\n",
       "      <td>2.574837</td>\n",
       "      <td>2.518916</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>0.055920</td>\n",
       "      <td>0.817984</td>\n",
       "      <td>0.817877</td>\n",
       "      <td>1.542681</td>\n",
       "      <td>...</td>\n",
       "      <td>1.423179</td>\n",
       "      <td>1.462402</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>-0.039222</td>\n",
       "      <td>44.405505</td>\n",
       "      <td>44.347720</td>\n",
       "      <td>0.000080</td>\n",
       "      <td>0.000059</td>\n",
       "      <td>0.057785</td>\n",
       "      <td>0.000021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>141973.462282</td>\n",
       "      <td>0.020633</td>\n",
       "      <td>0.020632</td>\n",
       "      <td>0.855043</td>\n",
       "      <td>0.827820</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>1.108602</td>\n",
       "      <td>0.045168</td>\n",
       "      <td>0.045168</td>\n",
       "      <td>0.375047</td>\n",
       "      <td>...</td>\n",
       "      <td>0.344842</td>\n",
       "      <td>0.357414</td>\n",
       "      <td>0.000091</td>\n",
       "      <td>0.466586</td>\n",
       "      <td>6.408698</td>\n",
       "      <td>6.415499</td>\n",
       "      <td>0.000398</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.012938</td>\n",
       "      <td>0.000366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.050896</td>\n",
       "      <td>1.050772</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>-15.582500</td>\n",
       "      <td>0.731415</td>\n",
       "      <td>0.731357</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-5.908000</td>\n",
       "      <td>27.165370</td>\n",
       "      <td>27.110370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>-0.000128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>122952.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>245904.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>368856.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>491809.000000</td>\n",
       "      <td>1.161166</td>\n",
       "      <td>1.161146</td>\n",
       "      <td>17.773478</td>\n",
       "      <td>16.933906</td>\n",
       "      <td>0.001870</td>\n",
       "      <td>14.729130</td>\n",
       "      <td>0.932470</td>\n",
       "      <td>0.930769</td>\n",
       "      <td>7.437742</td>\n",
       "      <td>...</td>\n",
       "      <td>10.045676</td>\n",
       "      <td>7.316000</td>\n",
       "      <td>0.003245</td>\n",
       "      <td>8.601081</td>\n",
       "      <td>55.301806</td>\n",
       "      <td>55.266528</td>\n",
       "      <td>0.012410</td>\n",
       "      <td>0.005880</td>\n",
       "      <td>0.207000</td>\n",
       "      <td>0.011480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Unnamed: 0     Ask_EURUSD     Bid_EURUSD  AskVolume_EURUSD  \\\n",
       "count  491810.000000  353188.000000  353188.000000     353188.000000   \n",
       "mean   245904.500000       1.110793       1.110761          2.574837   \n",
       "std    141973.462282       0.020633       0.020632          0.855043   \n",
       "min         0.000000       1.050896       1.050772          0.100000   \n",
       "25%    122952.250000            NaN            NaN               NaN   \n",
       "50%    245904.500000            NaN            NaN               NaN   \n",
       "75%    368856.750000            NaN            NaN               NaN   \n",
       "max    491809.000000       1.161166       1.161146         17.773478   \n",
       "\n",
       "       BidVolume_EURUSD  spread_EURUSD  spread_volume_EURUSD     Ask_EURGBP  \\\n",
       "count     353188.000000  353188.000000         353188.000000  353159.000000   \n",
       "mean           2.518916       0.000032              0.055920       0.817984   \n",
       "std            0.827820       0.000033              1.108602       0.045168   \n",
       "min            0.100000       0.000010            -15.582500       0.731415   \n",
       "25%                 NaN            NaN                   NaN            NaN   \n",
       "50%                 NaN            NaN                   NaN            NaN   \n",
       "75%                 NaN            NaN                   NaN            NaN   \n",
       "max           16.933906       0.001870             14.729130       0.932470   \n",
       "\n",
       "          Bid_EURGBP  AskVolume_EURGBP            ...              \\\n",
       "count  353159.000000     353159.000000            ...               \n",
       "mean        0.817877          1.542681            ...               \n",
       "std         0.045168          0.375047            ...               \n",
       "min         0.731357          0.100000            ...               \n",
       "25%              NaN               NaN            ...               \n",
       "50%              NaN               NaN            ...               \n",
       "75%              NaN               NaN            ...               \n",
       "max         0.930769          7.437742            ...               \n",
       "\n",
       "       AskVolume_EURCHF  BidVolume_EURCHF  spread_EURCHF  \\\n",
       "count     349655.000000     349655.000000  349655.000000   \n",
       "mean           1.423179          1.462402       0.000141   \n",
       "std            0.344842          0.357414       0.000091   \n",
       "min            0.100000          0.100000       0.000020   \n",
       "25%                 NaN               NaN            NaN   \n",
       "50%                 NaN               NaN            NaN   \n",
       "75%                 NaN               NaN            NaN   \n",
       "max           10.045676          7.316000       0.003245   \n",
       "\n",
       "       spread_volume_EURCHF  Ask_BRENTCMDUSD  Bid_BRENTCMDUSD  \\\n",
       "count         349655.000000    283487.000000    283487.000000   \n",
       "mean              -0.039222        44.405505        44.347720   \n",
       "std                0.466586         6.408698         6.415499   \n",
       "min               -5.908000        27.165370        27.110370   \n",
       "25%                     NaN              NaN              NaN   \n",
       "50%                     NaN              NaN              NaN   \n",
       "75%                     NaN              NaN              NaN   \n",
       "max                8.601081        55.301806        55.266528   \n",
       "\n",
       "       AskVolume_BRENTCMDUSD  BidVolume_BRENTCMDUSD  spread_BRENTCMDUSD  \\\n",
       "count          283487.000000          283487.000000       283487.000000   \n",
       "mean                0.000080               0.000059            0.057785   \n",
       "std                 0.000398               0.000058            0.012938   \n",
       "min                 0.000000               0.000000            0.001000   \n",
       "25%                      NaN                    NaN                 NaN   \n",
       "50%                      NaN                    NaN                 NaN   \n",
       "75%                      NaN                    NaN                 NaN   \n",
       "max                 0.012410               0.005880            0.207000   \n",
       "\n",
       "       spread_volume_BRENTCMDUSD  \n",
       "count              283487.000000  \n",
       "mean                    0.000021  \n",
       "std                     0.000366  \n",
       "min                    -0.000128  \n",
       "25%                          NaN  \n",
       "50%                          NaN  \n",
       "75%                          NaN  \n",
       "max                     0.011480  \n",
       "\n",
       "[8 rows x 55 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/merged/raw.csv',sep=';')\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df.Time = pd.to_datetime(df.Time)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time period of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "from : 2016-01-03 22:00:00 to 2016-12-08 23:25:00\n"
     ]
    }
   ],
   "source": [
    "print \"from : {0} to {1}\".format(df.Time.min(),df.Time.max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "corr = df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "filter_col = [col for col in corr.columns if ('Ask' in col)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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I9PR05UhOTub06dPk5eVx7tw5unbtSlhYGImJifj6+hqVOsTExBAXF8f+/ftJT083ij98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BBCCCGEKIESaEIIIYQQQpRACXQHwufzkZGR8b67QQghhBDSrtEqHO1URkYGfH194eXlhW+++Ybz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\nIYSQCqAGmhBCCCGEkAr4P7w+GbFl6jGGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5ccef0ca50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation(df[filter_col])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Overall correlation are low\n",
    "- Strong correlation for  GBPCHF/GBPUSD - GBPUSD/EURGBP"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}