├── .gitignore ├── Cryptocurrencies_EDA.ipynb ├── README.md ├── crypto_trader.ipynb ├── cryptocurrencypricehistory ├── bitcoin_cash_price.csv ├── bitcoin_dataset.csv ├── bitcoin_price.csv ├── bitconnect_price.csv ├── dash_price.csv ├── ethereum_classic_price.csv ├── ethereum_dataset.csv ├── ethereum_price.csv ├── iota_price.csv ├── litecoin_price.csv ├── monero_price.csv ├── nem_price.csv ├── neo_price.csv ├── numeraire_price.csv ├── omisego_price.csv ├── qtum_price.csv ├── ripple_price.csv ├── stratis_price.csv └── waves_price.csv ├── model ├── eth.h5 ├── eth_7.h5 ├── eth_7_1k.h5 ├── eth_7_3k.h5 ├── eth_7_multi.h5 ├── eth_multi.h5 └── eth_multi_1k.h5 ├── muti-step-prediction.ipynb ├── one-step-prediction.ipynb └── simulator ├── environment ├── __init__.py ├── crptocurrencypricehistory │ ├── bitcoin_cash_price.csv │ ├── bitcoin_dataset.csv │ ├── bitcoin_price.csv │ ├── bitconnect_price.csv │ ├── dash_price.csv │ ├── ethereum_classic_price.csv │ ├── ethereum_dataset.csv │ ├── ethereum_price.csv │ ├── iota_price.csv │ ├── litecoin_price.csv │ ├── monero_price.csv │ ├── nem_price.csv │ ├── neo_price.csv │ ├── numeraire_price.csv │ ├── omisego_price.csv │ ├── qtum_price.csv │ ├── ripple_price.csv │ ├── stratis_price.csv │ └── waves_price.csv ├── env.py └── portfolio.py └── trade.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | 49 | # Translations 50 | *.mo 51 | *.pot 52 | 53 | # Django stuff: 54 | *.log 55 | local_settings.py 56 | 57 | # Flask stuff: 58 | instance/ 59 | .webassets-cache 60 | 61 | # Scrapy stuff: 62 | .scrapy 63 | 64 | # Sphinx documentation 65 | docs/_build/ 66 | 67 | # PyBuilder 68 | target/ 69 | 70 | # Jupyter Notebook 71 | .ipynb_checkpoints 72 | 73 | # pyenv 74 | .python-version 75 | 76 | # celery beat schedule file 77 | celerybeat-schedule 78 | 79 | # SageMath parsed files 80 | *.sage.py 81 | 82 | # dotenv 83 | .env 84 | 85 | # virtualenv 86 | .venv 87 | venv/ 88 | ENV/ 89 | 90 | # Spyder project settings 91 | .spyderproject 92 | .spyproject 93 | 94 | # Rope project settings 95 | .ropeproject 96 | 97 | # mkdocs documentation 98 | /site 99 | 100 | # mypy 101 | .mypy_cache/ 102 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # gradient-trader 2 | W210 capstone project 3 | -------------------------------------------------------------------------------- /crypto_trader.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "### Cryptocurrency Trader Agent\n", 8 | "#### Deep Q-Learning Implementation" 9 | ] 10 | }, 11 | { 12 | "cell_type": "code", 13 | "execution_count": 9, 14 | "metadata": { 15 | "collapsed": true 16 | }, 17 | "outputs": [], 18 | "source": [ 19 | "# Cryptocurrency Market Simulator\n", 20 | "\n", 21 | "class Crypto_Simulator:\n", 22 | " \n", 23 | " states = ['bollinger', 'rolling20dayMeanReturn', 'volatility']\n", 24 | " actions = ['buy', 'sell', 'hold']\n", 25 | " \n", 26 | " def init(num_steps):\n", 27 | " return\n", 28 | " \n", 29 | " def get_ran_action():\n", 30 | " return 0\n", 31 | " \n", 32 | " \n", 33 | " def step(action):\n", 34 | " state = ''\n", 35 | " reward = 0.0\n", 36 | " return [state, reward]\n", 37 | " " 38 | ] 39 | }, 40 | { 41 | "cell_type": "code", 42 | "execution_count": 16, 43 | "metadata": { 44 | "collapsed": false 45 | }, 46 | "outputs": [], 47 | "source": [ 48 | "# Q Value Function Approximator\n", 49 | "# Neural Network Implementation\n", 50 | "\n", 51 | "from keras.models import Sequential\n", 52 | "from keras.layers import Dense\n", 53 | "from keras.optimizers import Adam\n", 54 | "from keras import backend as K\n", 55 | "\n", 56 | "class QValue_NN:\n", 57 | " \n", 58 | " # init neural network\n", 59 | " def __init__(self, state_size, action_size, learning_rate, units):\n", 60 | " # define input and target shapes\n", 61 | " self._state_size = state_size\n", 62 | " self._action_size = action_size\n", 63 | " \n", 64 | " self._alpha = learning_rate\n", 65 | " self._units = units\n", 66 | " \n", 67 | " # init model\n", 68 | " self._model = self._build_model()\n", 69 | " \n", 70 | " \n", 71 | " # define loss function\n", 72 | " def _huber_loss(self, target, prediction):\n", 73 | " # sqrt(1+error^2)-1\n", 74 | " error = prediction - target\n", 75 | " return K.mean(K.sqrt(1+K.square(error))-1, axis=-1)\n", 76 | "\n", 77 | " \n", 78 | " # neural net for Deep-Q Learning Model\n", 79 | " def _build_model(self):\n", 80 | " model = Sequential()\n", 81 | " model.add(Dense(self._units, input_dim=self._state_size, activation='relu'))\n", 82 | " model.add(Dense(self._units, activation='relu'))\n", 83 | " model.add(Dense(self._action_size, activation='linear'))\n", 84 | " model.compile(loss=self._huber_loss, optimizer=Adam(lr=self._alpha))\n", 85 | " return model\n", 86 | "\n", 87 | " \n", 88 | " # online training\n", 89 | " def train(self, states, qvalues):\n", 90 | " self._model.fit(state, qvalues, epochs=1, verbose=0)\n", 91 | " \n", 92 | " \n", 93 | " # get q-values based on states\n", 94 | " def predict(self, states):\n", 95 | " qvalues = self._model.predict(state)\n", 96 | " return qvalues\n", 97 | " " 98 | ] 99 | }, 100 | { 101 | "cell_type": "code", 102 | "execution_count": 17, 103 | "metadata": { 104 | "collapsed": true 105 | }, 106 | "outputs": [], 107 | "source": [ 108 | "# NN test\n", 109 | "nn = QValue_NN(3, 3, 0.01, 24)" 110 | ] 111 | }, 112 | { 113 | "cell_type": "code", 114 | "execution_count": 13, 115 | "metadata": { 116 | "collapsed": true 117 | }, 118 | "outputs": [], 119 | "source": [ 120 | "# Cryptocurrency Trader Q-Learning Implementation\n", 121 | "\n", 122 | "states = ['bollinger', 'rolling20dayMeanReturn', 'volatility']\n", 123 | "actions = ['buy', 'sell', 'hold']\n", 124 | "\n", 125 | "class Crypto_Trader:\n", 126 | "\n", 127 | " def init():\n", 128 | " # Initialize RL parameters\n", 129 | "\n", 130 | " # Learning Rate\n", 131 | " alpha = 0.1 \n", 132 | "\n", 133 | " # Reward Discount Rate\n", 134 | " y = 0.95\n", 135 | "\n", 136 | " # Esiplon (exploration factor)\n", 137 | " esiplon = 0.1\n", 138 | "\n", 139 | " # Reduce exploration overtime\n", 140 | " esiplon_decay = 0.90\n", 141 | "\n", 142 | " # number of episodes for training\n", 143 | " num_episodes = 1000\n", 144 | "\n", 145 | " def train():\n", 146 | " \n", 147 | " sim = Crypto_Simulator()\n", 148 | " nn = QValue_NN(len(states), len(actions), alpha, 24)\n", 149 | " \n", 150 | " for i in range(num_episodes):\n", 151 | " \n", 152 | " #init simulator and get first new observation\n", 153 | " s = sim.init()\n", 154 | " ret = 0\n", 155 | " iteration = 0\n", 156 | " \n", 157 | " #decay Esiplon\n", 158 | " esiplon = esiplon * (esiplon_decay ** iteration)\n", 159 | " \n", 160 | " #Iterate through all experiences and update Q function approximator\n", 161 | " while (1==1):\n", 162 | " \n", 163 | " iteration += 1\n", 164 | " \n", 165 | " #Choose action by e-greedy\n", 166 | " if np.random.rand(1) < esiplon:\n", 167 | " a = sim.get_ran_action()\n", 168 | " else:\n", 169 | " #Get Q values, choose action by Q values\n", 170 | " Qvalues = nn.predict(s)\n", 171 | " a = np.argmax(Qvalues)\n", 172 | " \n", 173 | " #step to the next state and reward based on action\n", 174 | " s1,r = sim.step(a)\n", 175 | " \n", 176 | " if (s1 == ''):\n", 177 | " break\n", 178 | " \n", 179 | " #Get Q values for s1\n", 180 | " Qvalues1 = nn.predict(s1)\n", 181 | " maxQ1 = np.max(Qvalues1)\n", 182 | " \n", 183 | " #Update TargetQ\n", 184 | " targetQ = Qvalues\n", 185 | " targetQ[a] = r + y*maxQ1\n", 186 | " \n", 187 | " #Train NN model online\n", 188 | " nn.train(s, targetQ)\n", 189 | " \n", 190 | " #Update total reward, set s1 to s\n", 191 | " ret += r\n", 192 | " s = s1\n", 193 | " \n", 194 | " print ret\n" 195 | ] 196 | }, 197 | { 198 | "cell_type": "code", 199 | "execution_count": 14, 200 | "metadata": { 201 | "collapsed": false 202 | }, 203 | "outputs": [], 204 | "source": [] 205 | }, 206 | { 207 | "cell_type": "code", 208 | "execution_count": null, 209 | "metadata": { 210 | "collapsed": true 211 | }, 212 | "outputs": [], 213 | "source": [] 214 | } 215 | ], 216 | "metadata": { 217 | "anaconda-cloud": {}, 218 | "kernelspec": { 219 | "display_name": "Python [default]", 220 | "language": "python", 221 | "name": "python2" 222 | }, 223 | "language_info": { 224 | "codemirror_mode": { 225 | "name": "ipython", 226 | "version": 2 227 | }, 228 | "file_extension": ".py", 229 | "mimetype": "text/x-python", 230 | "name": "python", 231 | "nbconvert_exporter": "python", 232 | "pygments_lexer": "ipython2", 233 | "version": "2.7.12" 234 | } 235 | }, 236 | "nbformat": 4, 237 | "nbformat_minor": 2 238 | } 239 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/bitcoin_cash_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",438.90,438.90,384.06,419.86,"221,828,000","7,279,520,000" 3 | "Sep 16, 2017",424.49,450.98,388.20,440.22,"313,583,000","7,039,590,000" 4 | "Sep 15, 2017",369.49,448.39,301.69,424.02,"707,231,000","6,126,800,000" 5 | "Sep 14, 2017",504.22,510.47,367.04,367.04,"257,431,000","8,359,650,000" 6 | "Sep 13, 2017",509.47,519.20,471.22,503.61,"340,344,000","8,445,540,000" 7 | "Sep 12, 2017",539.03,559.22,505.01,510.41,"273,825,000","8,934,220,000" 8 | "Sep 11, 2017",537.19,556.25,515.67,537.81,"274,712,000","8,902,570,000" 9 | "Sep 10, 2017",546.48,546.75,484.09,537.07,"289,508,000","9,055,430,000" 10 | "Sep 09, 2017",584.73,586.18,539.15,547.47,"234,578,000","9,688,150,000" 11 | "Sep 08, 2017",654.37,687.30,557.50,583.10,"809,763,000","10,840,500,000" 12 | "Sep 07, 2017",636.85,707.98,603.50,652.86,"1,082,380,000","10,548,500,000" 13 | "Sep 06, 2017",541.28,642.69,539.96,638.18,"693,240,000","8,964,700,000" 14 | "Sep 05, 2017",514.90,550.95,458.78,541.71,"338,978,000","8,527,100,000" 15 | "Sep 04, 2017",608.26,608.26,500.75,517.24,"328,957,000","10,072,200,000" 16 | "Sep 03, 2017",578.27,617.41,563.59,607.43,"344,862,000","9,574,520,000" 17 | "Sep 02, 2017",621.96,642.05,560.58,575.90,"350,478,000","10,297,000,000" 18 | "Sep 01, 2017",588.40,645.52,586.73,622.17,"393,839,000","9,740,460,000" 19 | "Aug 31, 2017",576.25,603.69,572.14,588.17,"298,144,000","9,538,750,000" 20 | "Aug 30, 2017",549.32,604.69,535.92,575.21,"443,856,000","9,092,300,000" 21 | "Aug 29, 2017",596.13,599.30,528.32,552.93,"370,017,000","9,866,110,000" 22 | "Aug 28, 2017",619.70,626.88,595.52,596.18,"216,273,000","10,254,800,000" 23 | "Aug 27, 2017",625.89,654.87,589.63,620.90,"402,718,000","10,357,000,000" 24 | "Aug 26, 2017",641.88,646.93,622.36,625.32,"193,414,000","10,616,100,000" 25 | "Aug 25, 2017",627.06,665.41,624.30,641.05,"348,632,000","10,365,600,000" 26 | "Aug 24, 2017",670.03,697.32,617.31,628.11,"407,177,000","11,071,100,000" 27 | "Aug 23, 2017",690.96,715.67,651.32,669.40,"501,983,000","11,416,800,000" 28 | "Aug 22, 2017",596.19,734.88,570.27,690.88,"1,393,260,000","9,844,620,000" 29 | "Aug 21, 2017",723.70,756.59,573.47,599.63,"1,123,400,000","11,943,100,000" 30 | "Aug 20, 2017",772.42,858.96,683.94,712.87,"1,494,020,000","12,742,600,000" 31 | "Aug 19, 2017",697.04,1091.97,625.16,754.56,"3,196,230,000","11,498,100,000" 32 | "Aug 18, 2017",458.67,764.07,458.67,690.24,"3,087,490,000","7,565,590,000" 33 | "Aug 17, 2017",301.02,460.53,293.10,460.53,"744,605,000","4,964,980,000" 34 | "Aug 16, 2017",297.97,307.62,290.21,300.21,"106,436,000","4,914,350,000" 35 | "Aug 15, 2017",298.19,306.52,292.88,297.86,"133,924,000","4,917,480,000" 36 | "Aug 14, 2017",296.10,327.39,293.50,297.68,"174,968,000","4,882,720,000" 37 | "Aug 13, 2017",316.29,317.47,298.05,298.05,"120,722,000","5,215,330,000" 38 | "Aug 12, 2017",327.82,341.85,313.70,317.09,"126,007,000","5,405,200,000" 39 | "Aug 11, 2017",275.88,351.16,275.02,328.24,"233,971,000","4,548,600,000" 40 | "Aug 10, 2017",305.21,311.68,274.68,275.95,"136,637,000","5,031,790,000" 41 | "Aug 09, 2017",345.28,349.32,298.61,303.89,"165,032,000","5,691,960,000" 42 | "Aug 08, 2017",321.35,386.29,309.61,345.49,"274,880,000","5,297,390,000" 43 | "Aug 07, 2017",223.76,373.87,223.76,319.69,"346,546,000","3,688,360,000" 44 | "Aug 06, 2017",212.18,223.70,203.44,220.66,"107,606,000","3,497,290,000" 45 | "Aug 05, 2017",231.11,273.04,200.98,213.15,"144,043,000","3,809,330,000" 46 | "Aug 04, 2017",362.18,386.93,233.05,233.05,"185,038,000","5,969,720,000" 47 | "Aug 03, 2017",448.49,519.28,364.05,364.05,"161,518,000","7,392,030,000" 48 | "Aug 02, 2017",382.38,756.93,309.33,452.66,"416,207,000","6,302,360,000" 49 | "Aug 01, 2017",294.60,426.11,210.38,380.01,"65,988,800",- 50 | "Jul 31, 2017",346.36,347.82,266.19,294.46,"1,075,960",- 51 | "Jul 30, 2017",385.14,385.14,316.25,345.66,"606,695",- 52 | "Jul 29, 2017",410.56,423.73,323.73,384.77,"737,815",- 53 | "Jul 28, 2017",386.65,465.18,217.06,406.05,"1,230,160",- 54 | "Jul 27, 2017",417.10,460.97,367.78,385.48,"533,207",- 55 | "Jul 26, 2017",407.08,486.16,321.79,365.82,"1,784,640",- 56 | "Jul 25, 2017",441.35,541.66,338.09,406.90,"524,908",- 57 | "Jul 24, 2017",412.58,578.89,409.21,440.70,"190,952",- 58 | "Jul 23, 2017",555.89,578.97,411.78,413.06,"85,013",- 59 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/bitconnect_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",109.75,110.94,102.81,106.84,"5,350,380","737,226,000" 3 | "Sep 16, 2017",111.11,116.01,105.02,109.85,"5,683,580","744,652,000" 4 | "Sep 15, 2017",97.42,113.75,89.36,111.22,"8,539,660","652,107,000" 5 | "Sep 14, 2017",115.97,117.38,96.71,96.71,"6,367,800","775,543,000" 6 | "Sep 13, 2017",123.14,123.70,112.60,115.97,"6,315,510","822,282,000" 7 | "Sep 12, 2017",125.29,130.91,122.22,123.50,"6,861,080","835,911,000" 8 | "Sep 11, 2017",121.88,128.20,120.76,125.70,"7,083,720","812,292,000" 9 | "Sep 10, 2017",129.70,129.70,118.94,122.92,"4,644,030","863,579,000" 10 | "Sep 09, 2017",128.51,131.51,125.21,130.05,"6,225,680","854,520,000" 11 | "Sep 08, 2017",137.68,139.78,123.23,128.29,"7,051,050","914,556,000" 12 | "Sep 07, 2017",135.88,138.67,132.52,137.61,"7,564,730","901,778,000" 13 | "Sep 06, 2017",130.25,142.16,128.84,136.18,"8,049,390","863,537,000" 14 | "Sep 05, 2017",114.74,131.57,108.93,129.42,"8,537,600","756,793,000" 15 | "Sep 04, 2017",128.26,129.55,110.68,114.13,"30,395,600","845,031,000" 16 | "Sep 03, 2017",131.71,135.06,125.87,130.99,"5,244,490","866,869,000" 17 | "Sep 02, 2017",141.11,142.80,128.00,131.33,"5,056,030","926,918,000" 18 | "Sep 01, 2017",135.66,140.97,133.47,140.97,"7,854,700","890,229,000" 19 | "Aug 31, 2017",135.60,136.88,132.24,135.63,"6,633,480","888,920,000" 20 | "Aug 30, 2017",128.06,137.29,127.68,136.06,"9,923,160","838,560,000" 21 | "Aug 29, 2017",119.01,129.24,114.84,128.24,"9,907,640","778,470,000" 22 | "Aug 28, 2017",114.84,120.45,86.11,118.75,"6,444,290","750,345,000" 23 | "Aug 27, 2017",116.11,129.98,101.65,114.99,"4,895,670","757,691,000" 24 | "Aug 26, 2017",100.14,136.51,93.25,116.13,"995,116","652,789,000" 25 | "Aug 25, 2017",123.40,149.89,38.98,100.87,"3,353,200","803,652,000" 26 | "Aug 24, 2017",128.05,131.49,119.89,127.08,"8,552,010","832,860,000" 27 | "Aug 23, 2017",120.20,130.43,119.72,127.97,"9,692,110","781,010,000" 28 | "Aug 22, 2017",116.16,121.95,106.55,120.44,"6,273,350","754,043,000" 29 | "Aug 21, 2017",116.32,118.05,112.68,115.91,"7,667,050","754,278,000" 30 | "Aug 20, 2017",119.53,119.61,114.63,116.77,"4,730,720","774,327,000" 31 | "Aug 19, 2017",121.01,132.04,111.47,120.04,"6,751,140","783,024,000" 32 | "Aug 18, 2017",117.65,124.19,115.06,121.08,"7,858,910","760,435,000" 33 | "Aug 17, 2017",119.23,122.91,115.32,117.90,"9,416,780","769,810,000" 34 | "Aug 16, 2017",112.38,119.41,107.07,119.36,"8,065,040","724,865,000" 35 | "Aug 15, 2017",113.03,116.79,104.35,112.26,"8,375,150","728,298,000" 36 | "Aug 14, 2017",103.30,112.83,98.87,112.73,"7,806,160","664,460,000" 37 | "Aug 13, 2017",104.71,113.37,100.17,103.23,"5,104,100","672,851,000" 38 | "Aug 12, 2017",98.88,106.88,97.91,104.76,"6,396,390","634,327,000" 39 | "Aug 11, 2017",91.57,100.27,91.22,98.96,"8,535,500","586,851,000" 40 | "Aug 10, 2017",85.94,92.18,85.46,91.54,"8,170,850","550,213,000" 41 | "Aug 09, 2017",86.45,86.89,83.16,85.91,"6,557,630","552,995,000" 42 | "Aug 08, 2017",83.13,87.32,83.03,86.51,"8,050,680","530,677,000" 43 | "Aug 07, 2017",79.20,84.90,78.36,83.05,"4,506,370","505,097,000" 44 | "Aug 06, 2017",79.13,81.21,75.75,79.32,"3,382,890","504,140,000" 45 | "Aug 05, 2017",70.72,80.61,70.72,79.13,"4,215,220","450,089,000" 46 | "Aug 04, 2017",69.41,71.10,67.85,70.90,"4,766,590","441,261,000" 47 | "Aug 03, 2017",65.09,69.85,64.73,69.35,"4,382,480","413,366,000" 48 | "Aug 02, 2017",50.73,70.30,49.78,64.93,"3,277,460","321,857,000" 49 | "Aug 01, 2017",65.98,66.14,41.09,52.44,"261,126","416,441,000" 50 | "Jul 31, 2017",61.29,66.64,57.91,66.14,"1,578,510","386,447,000" 51 | "Jul 30, 2017",65.08,65.16,61.26,61.52,"2,147,470","409,831,000" 52 | "Jul 29, 2017",69.08,69.23,64.04,64.96,"2,912,860","434,587,000" 53 | "Jul 28, 2017",65.28,69.94,64.79,69.28,"4,174,750","410,202,000" 54 | "Jul 27, 2017",63.01,66.09,62.21,65.09,"3,508,340","395,556,000" 55 | "Jul 26, 2017",63.57,64.46,60.63,62.68,"3,436,370","398,636,000" 56 | "Jul 25, 2017",67.01,67.01,60.14,63.65,"3,566,120","413,094,000" 57 | "Jul 24, 2017",61.33,68.22,58.44,67.02,"3,991,940","374,541,000" 58 | "Jul 23, 2017",67.36,67.85,58.75,60.14,"2,132,900","410,971,000" 59 | "Jul 22, 2017",67.23,70.84,65.63,67.31,"3,077,890","409,779,000" 60 | "Jul 21, 2017",70.31,70.55,65.47,67.21,"4,225,470","423,696,000" 61 | "Jul 20, 2017",56.44,72.00,56.44,69.79,"4,378,970","334,334,000" 62 | "Jul 19, 2017",58.38,60.22,55.72,56.61,"3,140,970","345,452,000" 63 | "Jul 18, 2017",55.72,59.98,53.81,58.29,"3,540,910","329,330,000" 64 | "Jul 17, 2017",47.74,55.83,47.74,55.49,"3,778,790","281,529,000" 65 | "Jul 16, 2017",44.22,50.56,29.87,48.05,"2,100,690","260,770,000" 66 | "Jul 15, 2017",55.45,55.55,44.57,44.57,"2,687,210","383,760,000" 67 | "Jul 14, 2017",57.60,58.57,53.94,55.53,"3,445,520","398,102,000" 68 | "Jul 13, 2017",57.99,58.89,57.02,57.64,"3,024,130","400,400,000" 69 | "Jul 12, 2017",54.99,58.86,53.61,58.26,"2,740,060","379,392,000" 70 | "Jul 11, 2017",53.64,56.96,53.28,55.07,"2,767,260","368,502,000" 71 | "Jul 10, 2017",58.67,59.60,53.45,53.97,"2,949,720","402,702,000" 72 | "Jul 09, 2017",60.22,60.45,58.61,58.96,"1,992,460","412,952,000" 73 | "Jul 08, 2017",56.60,60.25,56.60,60.18,"2,447,650","387,783,000" 74 | "Jul 07, 2017",59.13,59.79,56.58,56.58,"4,205,810","404,767,000" 75 | "Jul 06, 2017",57.11,63.80,56.92,59.06,"3,277,810","390,587,000" 76 | "Jul 05, 2017",55.52,57.30,53.62,57.08,"2,954,260","379,307,000" 77 | "Jul 04, 2017",53.24,55.52,53.22,55.48,"2,748,610","363,460,000" 78 | "Jul 03, 2017",51.81,54.06,51.35,53.36,"3,417,230","353,379,000" 79 | "Jul 02, 2017",50.04,52.40,49.62,52.04,"1,326,100","341,010,000" 80 | "Jul 01, 2017",51.37,52.15,49.61,50.04,"2,650,800","349,775,000" 81 | "Jun 30, 2017",51.94,53.10,50.86,51.39,"2,126,610","353,252,000" 82 | "Jun 29, 2017",52.06,52.82,51.04,51.84,"2,865,970","353,750,000" 83 | "Jun 28, 2017",51.31,52.62,49.94,52.11,"2,985,300","348,397,000" 84 | "Jun 27, 2017",49.50,50.77,46.29,50.56,"2,410,340","335,744,000" 85 | "Jun 26, 2017",51.11,52.74,47.31,48.33,"2,220,370","346,232,000" 86 | "Jun 25, 2017",52.76,54.14,50.46,51.16,"2,464,490","357,030,000" 87 | "Jun 24, 2017",55.65,56.40,51.81,52.87,"2,270,790","376,295,000" 88 | "Jun 23, 2017",52.31,56.73,51.25,55.67,"2,353,480","353,360,000" 89 | "Jun 22, 2017",51.25,52.30,50.28,52.30,"2,264,670","345,886,000" 90 | "Jun 21, 2017",52.41,52.67,48.98,51.27,"1,981,900","353,405,000" 91 | "Jun 20, 2017",51.36,52.76,51.08,52.42,"1,991,020","346,100,000" 92 | "Jun 19, 2017",50.96,51.66,50.90,51.38,"1,827,540","343,207,000" 93 | "Jun 18, 2017",51.02,51.62,50.50,50.90,"1,066,710","343,305,000" 94 | "Jun 17, 2017",50.69,51.19,50.27,51.03,"1,436,890","340,842,000" 95 | "Jun 16, 2017",49.16,51.44,46.92,50.94,"1,359,210","330,219,000" 96 | "Jun 15, 2017",48.01,50.28,43.45,49.18,"1,655,390","322,219,000" 97 | "Jun 14, 2017",50.89,53.96,46.35,47.83,"1,804,340","341,224,000" 98 | "Jun 13, 2017",45.91,50.87,45.91,50.87,"1,609,630","307,656,000" 99 | "Jun 12, 2017",53.42,53.42,41.72,45.68,"2,295,830","357,687,000" 100 | "Jun 11, 2017",54.11,57.52,50.63,53.00,"1,762,110","361,918,000" 101 | "Jun 10, 2017",50.04,59.60,42.61,54.04,"3,783,760","326,419,000" 102 | "Jun 09, 2017",41.33,50.40,41.25,49.97,"2,787,430","268,196,000" 103 | "Jun 08, 2017",36.18,41.43,35.42,41.43,"2,176,920","233,903,000" 104 | "Jun 07, 2017",38.00,38.39,35.20,35.93,"3,101,570","245,393,000" 105 | "Jun 06, 2017",32.24,39.78,32.24,37.99,"2,430,580","207,988,000" 106 | "Jun 05, 2017",25.55,32.86,25.55,32.14,"2,170,880","164,708,000" 107 | "Jun 04, 2017",25.53,25.80,24.94,25.55,"1,719,260","164,484,000" 108 | "Jun 03, 2017",24.03,25.66,23.84,25.59,"2,741,120","154,747,000" 109 | "Jun 02, 2017",22.19,24.19,21.99,24.19,"1,512,120","142,856,000" 110 | "Jun 01, 2017",18.93,22.95,18.93,22.18,"2,466,910","121,713,000" 111 | "May 31, 2017",17.00,18.97,17.00,18.90,"1,228,390","109,246,000" 112 | "May 30, 2017",17.22,17.79,16.59,16.92,"801,777","110,582,000" 113 | "May 29, 2017",15.96,17.51,15.54,17.20,"825,630","102,399,000" 114 | "May 28, 2017",14.86,16.68,14.71,15.99,"405,591","95,355,900" 115 | "May 27, 2017",15.31,16.36,13.47,14.63,"551,952","98,179,600" 116 | "May 26, 2017",15.56,17.57,14.07,15.26,"591,390","99,749,800" 117 | "May 25, 2017",13.57,23.37,11.98,15.67,"6,153,930","86,953,600" 118 | "May 24, 2017",13.21,14.35,13.12,13.60,"1,025,590","84,554,600" 119 | "May 23, 2017",12.26,13.34,12.22,13.19,"662,390","78,464,700" 120 | "May 22, 2017",12.60,13.32,11.75,12.28,"834,180","80,620,000" 121 | "May 21, 2017",12.34,12.93,12.20,12.52,"545,026","78,880,200" 122 | "May 20, 2017",11.23,12.38,11.23,12.35,"653,438","71,772,600" 123 | "May 19, 2017",10.73,11.37,10.72,11.22,"670,821","68,513,600" 124 | "May 18, 2017",10.04,10.87,10.02,10.72,"819,691","64,102,400" 125 | "May 17, 2017",9.80,10.35,9.61,10.11,"783,389","62,539,500" 126 | "May 16, 2017",9.20,10.08,8.95,9.81,"765,059","58,670,700" 127 | "May 15, 2017",8.95,9.26,8.51,9.10,"496,905","57,036,400" 128 | "May 14, 2017",8.49,8.88,8.15,8.79,"397,657","54,087,400" 129 | "May 13, 2017",7.39,8.45,7.03,8.45,"480,450","47,075,500" 130 | "May 12, 2017",7.71,8.04,7.29,7.41,"448,407","49,032,700" 131 | "May 11, 2017",7.71,8.03,7.17,7.70,"407,025","49,044,900" 132 | "May 10, 2017",7.93,8.01,7.30,7.69,"499,177","50,406,400" 133 | "May 09, 2017",8.02,8.33,7.61,7.93,"704,454","50,921,800" 134 | "May 08, 2017",7.95,8.30,7.62,8.01,"808,585","50,377,900" 135 | "May 07, 2017",8.22,8.39,7.48,7.95,"266,678","51,681,300" 136 | "May 06, 2017",5.84,8.42,5.65,8.22,"875,112","36,310,900" 137 | "May 05, 2017",6.99,7.27,5.78,5.78,"566,343","43,198,800" 138 | "May 04, 2017",7.55,7.71,6.65,7.00,"556,024","46,609,100" 139 | "May 03, 2017",7.89,8.00,7.58,7.61,"716,542","48,652,600" 140 | "May 02, 2017",7.96,9.00,7.69,7.88,"578,471","49,072,400" 141 | "May 01, 2017",8.89,9.22,8.19,8.19,"483,599","54,709,600" 142 | "Apr 30, 2017",8.95,9.02,8.74,8.88,"391,218","55,090,300" 143 | "Apr 29, 2017",9.15,9.15,8.91,8.97,"557,753","56,271,900" 144 | "Apr 28, 2017",8.45,9.17,8.45,9.14,"433,870","51,889,500" 145 | "Apr 27, 2017",8.01,9.62,6.86,8.45,"715,582","49,191,200" 146 | "Apr 26, 2017",9.25,9.35,7.92,8.01,"862,259","56,757,800" 147 | "Apr 25, 2017",9.77,9.99,9.14,9.25,"615,853","59,895,000" 148 | "Apr 24, 2017",9.77,9.97,9.63,9.78,"581,280","59,861,300" 149 | "Apr 23, 2017",10.07,10.07,9.64,9.74,"294,309","61,638,000" 150 | "Apr 22, 2017",9.87,10.16,9.78,10.07,"442,488","60,365,000" 151 | "Apr 21, 2017",10.06,10.08,9.50,9.87,"474,630","61,440,400" 152 | "Apr 20, 2017",10.19,10.39,9.70,10.05,"388,381","62,223,000" 153 | "Apr 19, 2017",9.89,10.66,9.89,10.18,"495,149","60,314,300" 154 | "Apr 18, 2017",8.74,10.38,8.74,9.74,"1,048,750","53,297,500" 155 | "Apr 17, 2017",9.70,9.78,7.59,8.74,"801,362","59,082,700" 156 | "Apr 16, 2017",10.78,10.84,8.50,9.70,"737,619","65,626,200" 157 | "Apr 15, 2017",9.80,11.45,9.08,10.80,"1,077,470","58,750,800" 158 | "Apr 14, 2017",12.05,12.69,8.27,9.69,"201,720","72,172,000" 159 | "Apr 13, 2017",10.62,17.63,10.62,11.95,"1,951,160","63,522,800" 160 | "Apr 12, 2017",8.39,10.57,8.37,10.55,"902,695","50,133,900" 161 | "Apr 11, 2017",6.13,8.50,6.13,8.41,"771,597","36,618,600" 162 | "Apr 10, 2017",5.91,6.16,5.48,6.12,"595,244","35,273,600" 163 | "Apr 09, 2017",5.73,6.20,5.73,5.92,"470,292","34,156,000" 164 | "Apr 08, 2017",5.43,5.80,5.36,5.73,"458,324","32,329,000" 165 | "Apr 07, 2017",5.17,5.51,5.02,5.45,"614,199","30,770,800" 166 | "Apr 06, 2017",4.80,5.22,4.80,5.20,"499,333","28,510,400" 167 | "Apr 05, 2017",4.77,4.81,4.66,4.79,"355,818","28,317,800" 168 | "Apr 04, 2017",4.49,4.85,4.43,4.76,"398,884","26,668,800" 169 | "Apr 03, 2017",3.91,4.66,3.91,4.42,"414,450","23,190,700" 170 | "Apr 02, 2017",4.02,4.23,3.88,3.91,"149,998","23,780,900" 171 | "Apr 01, 2017",3.53,4.04,3.49,4.01,"432,916","20,858,600" 172 | "Mar 31, 2017",3.35,3.59,3.34,3.49,"277,557","19,395,400" 173 | "Mar 30, 2017",3.41,3.43,3.30,3.35,"313,656","19,700,100" 174 | "Mar 29, 2017",3.34,3.44,3.25,3.40,"250,322","19,176,200" 175 | "Mar 28, 2017",3.25,3.40,3.23,3.34,"340,582","18,635,300" 176 | "Mar 27, 2017",2.99,3.29,2.93,3.25,"303,282","17,109,800" 177 | "Mar 26, 2017",3.05,3.15,2.90,2.97,"165,270","17,464,100" 178 | "Mar 25, 2017",2.70,4.42,2.34,3.04,"377,669","15,418,900" 179 | "Mar 24, 2017",2.02,3.91,2.01,3.32,"347,994","11,530,000" 180 | "Mar 23, 2017",1.83,2.08,1.78,2.02,"244,700","10,431,300" 181 | "Mar 22, 2017",1.89,1.94,1.77,1.83,"162,423","10,741,700" 182 | "Mar 21, 2017",1.79,1.95,1.77,1.89,"248,776","10,195,800" 183 | "Mar 20, 2017",1.74,1.80,1.70,1.79,"261,732","9,891,750" 184 | "Mar 19, 2017",1.61,1.79,1.59,1.74,"200,786","9,129,360" 185 | "Mar 18, 2017",1.73,1.77,1.54,1.60,"233,726","9,815,210" 186 | "Mar 17, 2017",1.83,1.90,1.73,1.73,"239,185","10,355,500" 187 | "Mar 16, 2017",1.89,1.94,1.76,1.84,"231,056","10,683,100" 188 | "Mar 15, 2017",1.89,1.98,1.86,1.89,"296,537","10,676,500" 189 | "Mar 14, 2017",1.86,1.97,1.86,1.89,"197,787","10,499,500" 190 | "Mar 13, 2017",1.74,1.99,1.72,1.86,"207,174","9,805,420" 191 | "Mar 12, 2017",1.88,2.00,1.66,1.73,"209,145","10,574,100" 192 | "Mar 11, 2017",1.65,2.04,1.65,1.88,"329,288","8,976,540" 193 | "Mar 10, 2017",1.57,1.96,1.57,1.65,"231,193","8,538,000" 194 | "Mar 09, 2017",0.910759,6.90,0.904785,1.57,"391,543","4,953,980" 195 | "Mar 08, 2017",0.928324,2.29,0.892919,0.910482,"80,489","5,043,800" 196 | "Mar 07, 2017",0.929928,0.965031,0.902599,0.928556,"112,631","5,046,350" 197 | "Mar 06, 2017",0.877932,0.948389,0.877303,0.929657,"144,511","4,758,800" 198 | "Mar 05, 2017",0.860446,0.890336,0.854322,0.877690,"99,353","4,658,870" 199 | "Mar 04, 2017",0.876560,0.901431,0.848197,0.861036,"118,768","4,741,050" 200 | "Mar 03, 2017",0.849622,0.897957,0.849622,0.874886,"133,898","4,588,430" 201 | "Mar 02, 2017",0.843463,0.867530,0.833101,0.849830,"112,199","4,549,750" 202 | "Mar 01, 2017",0.804026,0.847651,0.803913,0.841962,"94,260","4,332,560" 203 | "Feb 28, 2017",0.805227,0.831538,0.797892,0.803977,"107,824","4,333,750" 204 | "Feb 27, 2017",0.798417,0.819324,0.798143,0.804716,"71,439","4,292,460" 205 | "Feb 26, 2017",0.780171,0.814878,0.769603,0.799392,"75,564","4,190,100" 206 | "Feb 25, 2017",0.798545,0.821233,0.764979,0.779878,"96,943","4,283,810" 207 | "Feb 24, 2017",0.720091,0.833797,0.710127,0.800726,"80,798","3,858,450" 208 | "Feb 23, 2017",0.750903,0.800626,0.697684,0.716413,"104,601","4,018,590" 209 | "Feb 22, 2017",0.765145,0.800321,0.663462,0.751017,"102,991","4,088,710" 210 | "Feb 21, 2017",0.743569,0.788681,0.742046,0.765488,"46,477","3,968,830" 211 | "Feb 20, 2017",0.722645,0.744402,0.718499,0.744051,"79,052","3,845,050" 212 | "Feb 19, 2017",0.723668,0.759755,0.718855,0.722082,"17,807","3,840,990" 213 | "Feb 18, 2017",0.714177,0.770619,0.712649,0.723435,"69,567","3,786,090" 214 | "Feb 17, 2017",0.737502,0.765716,0.711911,0.712135,"73,305","3,905,080" 215 | "Feb 16, 2017",0.726066,0.762640,0.725988,0.738451,"64,234","3,839,920" 216 | "Feb 15, 2017",0.731512,0.748031,0.721461,0.725943,"84,565","3,864,230" 217 | "Feb 14, 2017",0.711982,0.744774,0.665671,0.730306,"84,926","3,756,710" 218 | "Feb 13, 2017",0.696483,0.718306,0.615641,0.711195,"100,391","3,670,810" 219 | "Feb 12, 2017",0.701552,0.724620,0.693313,0.696708,"90,321","3,693,230" 220 | "Feb 11, 2017",0.634346,0.728807,0.621720,0.702202,"73,165","3,335,540" 221 | "Feb 10, 2017",0.567441,0.652978,0.546511,0.634202,"136,220","2,979,990" 222 | "Feb 09, 2017",0.574614,0.635086,0.529744,0.566729,"40,765","3,013,100" 223 | "Feb 08, 2017",0.425789,0.620504,0.425789,0.573734,"97,396","2,230,210" 224 | "Feb 07, 2017",0.447859,0.516073,0.422868,0.425400,"65,544","2,343,170" 225 | "Feb 06, 2017",0.465675,0.531860,0.445042,0.447002,"92,361","2,372,230" 226 | "Feb 05, 2017",0.568783,0.594951,0.465195,0.465195,"22,814","2,893,950" 227 | "Feb 04, 2017",0.513954,0.618865,0.511836,0.568446,"41,471","2,611,770" 228 | "Feb 03, 2017",0.424369,0.616739,0.423258,0.513246,"104,851","2,151,070" 229 | "Feb 02, 2017",0.376986,0.510052,0.374696,0.424510,"49,021","1,908,590" 230 | "Feb 01, 2017",0.234603,0.625286,0.234330,0.380666,"70,857","1,186,290" 231 | "Jan 31, 2017",0.201900,0.248894,0.192904,0.234476,"38,955","1,019,790" 232 | "Jan 30, 2017",0.183540,0.211474,0.183411,0.201773,"25,986","926,047" 233 | "Jan 29, 2017",0.185211,0.191636,0.178000,0.183409,"10,832","933,414" 234 | "Jan 28, 2017",0.167891,0.191118,0.167889,0.185115,"12,342","845,152" 235 | "Jan 27, 2017",0.162051,0.242873,0.151854,0.167880,"24,828","814,864" 236 | "Jan 26, 2017",0.154363,0.179255,0.147483,0.161915,"9,966","775,361" 237 | "Jan 25, 2017",0.142849,0.313312,0.142811,0.154217,"14,945","716,763" 238 | "Jan 24, 2017",0.152959,0.671748,0.134264,0.142972,"33,237","766,670" 239 | "Jan 23, 2017",0.128182,0.156983,0.126968,0.154695,"6,921","641,762" 240 | "Jan 22, 2017",0.174903,0.178088,0.123697,0.128067,526,"874,666" 241 | "Jan 21, 2017",0.145710,0.236289,0.144554,0.174829,"12,872","727,753" 242 | "Jan 20, 2017",0.162671,0.166808,0.145625,0.145625,"5,978","812,236" 243 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/ethereum_classic_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",9.92,10.21,9.46,10.02,"55,522,700","948,141,000" 3 | "Sep 16, 2017",10.24,11.19,9.62,9.93,"146,996,000","978,667,000" 4 | "Sep 15, 2017",9.09,11.20,7.67,10.24,"434,921,000","868,471,000" 5 | "Sep 14, 2017",14.05,14.24,9.00,9.13,"220,330,000","1,341,200,000" 6 | "Sep 13, 2017",14.45,14.45,13.67,14.11,"103,257,000","1,379,350,000" 7 | "Sep 12, 2017",14.67,15.65,14.28,14.44,"167,338,000","1,399,560,000" 8 | "Sep 11, 2017",13.62,14.83,13.53,14.61,"142,588,000","1,299,470,000" 9 | "Sep 10, 2017",14.84,14.86,12.43,13.66,"210,528,000","1,415,090,000" 10 | "Sep 09, 2017",15.14,15.68,14.57,14.89,"131,722,000","1,443,530,000" 11 | "Sep 08, 2017",17.86,18.09,14.70,15.20,"269,884,000","1,701,770,000" 12 | "Sep 07, 2017",19.01,19.01,17.64,17.81,"187,201,000","1,810,900,000" 13 | "Sep 06, 2017",16.59,19.02,16.59,19.02,"228,007,000","1,579,610,000" 14 | "Sep 05, 2017",15.82,16.85,14.30,16.58,"218,190,000","1,506,490,000" 15 | "Sep 04, 2017",18.54,18.71,15.37,15.84,"243,535,000","1,764,650,000" 16 | "Sep 03, 2017",20.18,20.47,18.07,18.57,"221,986,000","1,920,050,000" 17 | "Sep 02, 2017",22.04,23.68,18.18,20.08,"648,787,000","2,096,550,000" 18 | "Sep 01, 2017",16.40,22.45,16.32,21.94,"821,440,000","1,559,510,000" 19 | "Aug 31, 2017",15.68,16.47,15.66,16.38,"86,584,900","1,489,950,000" 20 | "Aug 30, 2017",15.80,16.06,15.48,15.66,"66,337,400","1,500,740,000" 21 | "Aug 29, 2017",15.79,15.99,15.72,15.79,"68,677,500","1,499,090,000" 22 | "Aug 28, 2017",16.09,16.46,15.65,15.79,"96,308,800","1,527,600,000" 23 | "Aug 27, 2017",15.27,16.37,15.26,16.02,"150,740,000","1,449,670,000" 24 | "Aug 26, 2017",15.28,15.32,15.11,15.29,"41,284,600","1,450,080,000" 25 | "Aug 25, 2017",15.13,15.42,15.09,15.28,"49,610,500","1,434,760,000" 26 | "Aug 24, 2017",15.36,15.99,15.10,15.14,"105,296,000","1,456,290,000" 27 | "Aug 23, 2017",14.47,17.03,14.33,15.29,"325,317,000","1,372,030,000" 28 | "Aug 22, 2017",14.57,14.97,13.75,14.39,"97,160,200","1,380,860,000" 29 | "Aug 21, 2017",13.89,15.04,13.86,14.56,"114,021,000","1,316,110,000" 30 | "Aug 20, 2017",13.68,14.11,13.60,13.89,"40,155,000","1,295,520,000" 31 | "Aug 19, 2017",13.86,14.07,13.46,13.70,"48,175,900","1,311,790,000" 32 | "Aug 18, 2017",13.89,14.42,13.74,13.81,"70,150,100","1,314,260,000" 33 | "Aug 17, 2017",14.23,14.34,13.85,13.93,"50,306,000","1,346,400,000" 34 | "Aug 16, 2017",13.69,14.66,13.52,14.19,"77,467,600","1,294,140,000" 35 | "Aug 15, 2017",14.07,14.09,13.53,13.69,"49,456,900","1,330,550,000" 36 | "Aug 14, 2017",14.29,14.54,14.05,14.08,"38,585,500","1,350,180,000" 37 | "Aug 13, 2017",14.78,14.80,14.09,14.30,"58,116,600","1,396,350,000" 38 | "Aug 12, 2017",15.18,15.28,14.76,14.81,"50,077,000","1,433,430,000" 39 | "Aug 11, 2017",15.16,15.47,15.04,15.17,"46,330,400","1,431,410,000" 40 | "Aug 10, 2017",15.40,15.58,15.19,15.19,"42,596,500","1,453,210,000" 41 | "Aug 09, 2017",15.87,16.25,15.22,15.38,"95,728,900","1,497,320,000" 42 | "Aug 08, 2017",15.30,15.95,15.23,15.88,"88,294,200","1,442,970,000" 43 | "Aug 07, 2017",15.33,15.48,15.17,15.31,"59,522,900","1,445,300,000" 44 | "Aug 06, 2017",15.96,16.34,15.35,15.35,"81,856,700","1,504,680,000" 45 | "Aug 05, 2017",15.03,15.93,14.98,15.93,"98,290,900","1,415,870,000" 46 | "Aug 04, 2017",15.37,15.45,14.94,15.04,"51,110,000","1,447,760,000" 47 | "Aug 03, 2017",14.76,15.48,14.58,15.37,"74,707,900","1,390,050,000" 48 | "Aug 02, 2017",14.60,15.11,14.41,14.77,"81,127,100","1,374,450,000" 49 | "Aug 01, 2017",14.02,14.70,13.85,14.57,"86,270,500","1,319,170,000" 50 | "Jul 31, 2017",13.78,14.14,13.55,14.00,"44,660,400","1,295,940,000" 51 | "Jul 30, 2017",14.33,14.41,13.76,13.81,"37,797,400","1,347,810,000" 52 | "Jul 29, 2017",14.16,14.47,13.48,14.40,"65,494,300","1,330,870,000" 53 | "Jul 28, 2017",14.65,14.75,14.04,14.16,"48,972,400","1,376,840,000" 54 | "Jul 27, 2017",14.81,14.83,14.60,14.66,"28,722,600","1,390,780,000" 55 | "Jul 26, 2017",14.86,15.08,14.22,14.77,"46,058,800","1,395,600,000" 56 | "Jul 25, 2017",15.89,15.93,14.49,14.92,"74,645,500","1,491,550,000" 57 | "Jul 24, 2017",15.84,16.02,15.56,15.88,"38,370,000","1,486,560,000" 58 | "Jul 23, 2017",16.52,16.62,15.37,15.78,"76,647,400","1,549,590,000" 59 | "Jul 22, 2017",16.11,16.58,16.06,16.51,"70,103,300","1,511,020,000" 60 | "Jul 21, 2017",16.12,16.86,15.75,16.14,"178,167,000","1,510,790,000" 61 | "Jul 20, 2017",14.95,16.06,14.95,16.06,"179,261,000","1,400,840,000" 62 | "Jul 19, 2017",16.43,16.45,14.57,14.83,"153,459,000","1,538,640,000" 63 | "Jul 18, 2017",15.51,17.06,14.79,16.40,"282,383,000","1,451,740,000" 64 | "Jul 17, 2017",14.40,15.69,13.80,15.50,"300,782,000","1,348,150,000" 65 | "Jul 16, 2017",14.71,15.36,12.25,14.18,"249,231,000","1,376,490,000" 66 | "Jul 15, 2017",17.60,17.60,14.38,14.77,"243,159,000","1,646,950,000" 67 | "Jul 14, 2017",18.41,18.60,16.85,17.55,"215,528,000","1,722,240,000" 68 | "Jul 13, 2017",20.05,20.72,17.36,18.36,"429,173,000","1,874,350,000" 69 | "Jul 12, 2017",14.69,20.42,14.23,19.94,"725,473,000","1,373,170,000" 70 | "Jul 11, 2017",15.22,16.03,13.17,14.72,"194,378,000","1,421,880,000" 71 | "Jul 10, 2017",16.24,17.49,14.43,15.48,"146,147,000","1,516,460,000" 72 | "Jul 09, 2017",16.97,17.45,16.26,16.26,"56,397,400","1,584,440,000" 73 | "Jul 08, 2017",16.74,16.99,15.38,16.99,"113,998,000","1,562,560,000" 74 | "Jul 07, 2017",17.96,18.17,16.68,16.75,"63,005,000","1,675,380,000" 75 | "Jul 06, 2017",17.77,18.18,17.50,17.91,"62,603,300","1,657,550,000" 76 | "Jul 05, 2017",18.05,18.05,17.39,17.77,"57,671,900","1,682,750,000" 77 | "Jul 04, 2017",17.84,18.59,17.84,18.05,"85,616,700","1,662,670,000" 78 | "Jul 03, 2017",17.91,18.32,17.53,17.85,"80,328,000","1,669,210,000" 79 | "Jul 02, 2017",17.74,18.12,16.97,17.91,"88,689,500","1,652,150,000" 80 | "Jul 01, 2017",18.75,18.79,17.51,17.81,"64,563,300","1,745,950,000" 81 | "Jun 30, 2017",18.60,19.81,18.60,18.92,"120,634,000","1,731,060,000" 82 | "Jun 29, 2017",19.62,19.66,18.33,18.66,"102,812,000","1,825,930,000" 83 | "Jun 28, 2017",19.16,19.84,18.07,19.65,"181,039,000","1,782,010,000" 84 | "Jun 27, 2017",19.68,20.24,16.56,19.14,"304,733,000","1,830,180,000" 85 | "Jun 26, 2017",21.53,22.47,17.70,19.58,"269,996,000","2,001,190,000" 86 | "Jun 25, 2017",20.14,23.86,19.45,21.42,"441,712,000","1,871,250,000" 87 | "Jun 24, 2017",21.36,21.38,20.12,20.19,"64,584,600","1,984,090,000" 88 | "Jun 23, 2017",20.80,21.56,20.61,21.34,"77,701,100","1,931,450,000" 89 | "Jun 22, 2017",20.76,21.05,20.28,20.79,"89,949,500","1,927,380,000" 90 | "Jun 21, 2017",21.69,21.91,19.84,20.70,"166,313,000","2,013,030,000" 91 | "Jun 20, 2017",23.02,23.04,21.42,21.68,"161,373,000","2,135,600,000" 92 | "Jun 19, 2017",22.05,23.66,21.97,22.95,"270,192,000","2,044,860,000" 93 | "Jun 18, 2017",23.03,24.62,21.73,22.07,"489,569,000","2,134,890,000" 94 | "Jun 17, 2017",18.38,24.00,18.33,23.27,"415,397,000","1,703,170,000" 95 | "Jun 16, 2017",18.33,18.56,17.59,18.40,"89,917,100","1,697,750,000" 96 | "Jun 15, 2017",18.86,18.93,16.10,18.36,"178,225,000","1,746,400,000" 97 | "Jun 14, 2017",20.76,21.06,18.12,18.84,"126,599,000","1,921,790,000" 98 | "Jun 13, 2017",20.26,21.02,19.80,20.74,"153,774,000","1,874,700,000" 99 | "Jun 12, 2017",21.57,22.94,18.02,20.33,"315,523,000","1,995,200,000" 100 | "Jun 11, 2017",19.50,22.15,18.16,21.57,"415,109,000","1,803,650,000" 101 | "Jun 10, 2017",17.45,19.66,17.43,19.66,"195,638,000","1,612,890,000" 102 | "Jun 09, 2017",17.54,17.66,17.33,17.45,"57,805,600","1,620,430,000" 103 | "Jun 08, 2017",17.53,17.78,17.17,17.54,"52,434,000","1,619,690,000" 104 | "Jun 07, 2017",17.50,18.38,17.01,17.51,"133,332,000","1,615,920,000" 105 | "Jun 06, 2017",17.35,17.83,16.78,17.49,"94,322,300","1,601,600,000" 106 | "Jun 05, 2017",17.43,17.43,16.90,17.31,"65,380,500","1,607,200,000" 107 | "Jun 04, 2017",16.36,17.55,16.09,17.48,"105,612,000","1,508,760,000" 108 | "Jun 03, 2017",17.39,17.53,16.14,16.26,"94,317,500","1,603,910,000" 109 | "Jun 02, 2017",16.84,17.51,16.84,17.38,"74,579,100","1,552,150,000" 110 | "Jun 01, 2017",17.62,17.94,16.63,16.83,"129,554,000","1,624,040,000" 111 | "May 31, 2017",18.74,18.74,16.68,17.68,"169,218,000","1,726,710,000" 112 | "May 30, 2017",17.13,18.86,16.88,18.54,"151,989,000","1,577,830,000" 113 | "May 29, 2017",16.23,17.42,15.24,17.10,"100,235,000","1,494,310,000" 114 | "May 28, 2017",16.56,17.36,14.10,16.13,"159,009,000","1,523,730,000" 115 | "May 27, 2017",13.96,16.26,10.58,16.26,"220,003,000","1,282,250,000" 116 | "May 26, 2017",16.52,17.99,13.17,14.26,"321,918,000","1,519,550,000" 117 | "May 25, 2017",19.22,22.35,15.76,16.35,"575,964,000","1,767,600,000" 118 | "May 24, 2017",12.02,21.30,11.90,18.87,"319,906,000","1,104,910,000" 119 | "May 23, 2017",9.97,11.94,9.84,11.94,"116,546,000","915,912,000" 120 | "May 22, 2017",9.00,11.00,8.94,9.90,"169,832,000","826,321,000" 121 | "May 21, 2017",7.39,9.40,7.37,9.40,"64,632,100","678,664,000" 122 | "May 20, 2017",7.99,8.21,7.41,7.41,"38,813,800","733,122,000" 123 | "May 19, 2017",6.72,8.22,6.62,7.99,"90,591,100","616,144,000" 124 | "May 18, 2017",5.92,6.76,5.89,6.73,"41,864,200","543,449,000" 125 | "May 17, 2017",6.24,6.28,5.74,5.93,"29,290,700","571,892,000" 126 | "May 16, 2017",6.39,6.51,6.03,6.26,"22,364,100","585,399,000" 127 | "May 15, 2017",6.83,6.83,6.36,6.41,"19,609,300","625,436,000" 128 | "May 14, 2017",6.17,7.08,6.17,6.83,"29,682,700","565,543,000" 129 | "May 13, 2017",6.33,6.37,6.01,6.14,"12,663,500","579,371,000" 130 | "May 12, 2017",6.48,6.67,6.34,6.34,"18,365,500","592,771,000" 131 | "May 11, 2017",6.62,6.84,6.31,6.48,"21,112,300","605,901,000" 132 | "May 10, 2017",6.43,6.81,6.29,6.60,"34,371,500","587,732,000" 133 | "May 09, 2017",6.66,6.66,5.64,6.44,"58,464,400","609,381,000" 134 | "May 08, 2017",7.11,7.11,6.57,6.66,"38,785,200","650,286,000" 135 | "May 07, 2017",7.29,7.55,6.93,7.12,"36,206,300","666,100,000" 136 | "May 06, 2017",7.55,7.58,6.98,7.27,"31,552,400","689,342,000" 137 | "May 05, 2017",7.68,8.10,7.31,7.53,"60,387,300","701,217,000" 138 | "May 04, 2017",6.67,7.63,6.67,7.63,"61,868,400","609,121,000" 139 | "May 03, 2017",6.54,6.85,6.44,6.67,"35,759,200","597,190,000" 140 | "May 02, 2017",6.94,7.08,6.22,6.58,"56,020,100","632,910,000" 141 | "May 01, 2017",6.49,7.64,6.24,6.89,"118,589,000","591,840,000" 142 | "Apr 30, 2017",5.44,6.61,5.33,6.52,"82,888,200","496,272,000" 143 | "Apr 29, 2017",4.88,5.43,4.83,5.42,"36,329,100","444,253,000" 144 | "Apr 28, 2017",4.95,5.09,4.61,4.84,"29,110,500","450,848,000" 145 | "Apr 27, 2017",4.60,5.11,4.59,4.95,"57,485,800","418,466,000" 146 | "Apr 26, 2017",3.97,4.64,3.92,4.59,"46,981,900","361,613,000" 147 | "Apr 25, 2017",4.05,4.13,3.83,3.96,"25,195,800","368,833,000" 148 | "Apr 24, 2017",3.57,4.11,3.57,4.05,"42,912,000","324,863,000" 149 | "Apr 23, 2017",3.23,3.54,3.19,3.54,"17,227,400","293,703,000" 150 | "Apr 22, 2017",3.18,3.26,3.17,3.23,"5,842,940","289,096,000" 151 | "Apr 21, 2017",3.28,3.36,3.14,3.18,"12,069,800","297,930,000" 152 | "Apr 20, 2017",3.15,3.47,3.10,3.28,"25,077,400","286,485,000" 153 | "Apr 19, 2017",2.89,3.29,2.82,3.14,"18,424,100","261,650,000" 154 | "Apr 18, 2017",2.62,2.96,2.61,2.89,"12,008,300","237,684,000" 155 | "Apr 17, 2017",2.63,2.65,2.59,2.62,"3,539,730","238,216,000" 156 | "Apr 16, 2017",2.68,2.69,2.61,2.63,"3,454,270","242,861,000" 157 | "Apr 15, 2017",2.64,2.68,2.62,2.68,"3,488,550","239,360,000" 158 | "Apr 14, 2017",2.63,2.70,2.55,2.64,"6,137,310","238,045,000" 159 | "Apr 13, 2017",2.62,2.66,2.60,2.62,"5,216,010","237,470,000" 160 | "Apr 12, 2017",2.54,2.66,2.52,2.62,"4,452,230","229,734,000" 161 | "Apr 11, 2017",2.60,2.60,2.54,2.54,"3,092,580","235,280,000" 162 | "Apr 10, 2017",2.64,2.65,2.53,2.60,"5,163,570","239,316,000" 163 | "Apr 09, 2017",2.72,2.72,2.58,2.64,"6,335,860","245,821,000" 164 | "Apr 08, 2017",2.71,2.77,2.63,2.72,"6,855,690","244,756,000" 165 | "Apr 07, 2017",2.67,2.74,2.56,2.73,"5,287,300","241,422,000" 166 | "Apr 06, 2017",2.75,2.81,2.46,2.68,"10,892,200","248,631,000" 167 | "Apr 05, 2017",2.68,2.80,2.65,2.76,"5,603,160","241,974,000" 168 | "Apr 04, 2017",2.60,2.71,2.58,2.67,"6,273,250","235,018,000" 169 | "Apr 03, 2017",2.65,2.77,2.51,2.60,"9,722,960","239,440,000" 170 | "Apr 02, 2017",2.75,2.82,2.52,2.64,"10,883,300","248,588,000" 171 | "Apr 01, 2017",2.82,2.82,2.75,2.76,"6,321,790","254,292,000" 172 | "Mar 31, 2017",2.80,2.99,2.60,2.83,"24,881,200","252,768,000" 173 | "Mar 30, 2017",2.33,2.99,2.28,2.83,"19,426,400","209,841,000" 174 | "Mar 29, 2017",2.27,2.38,2.25,2.33,"5,549,740","204,442,000" 175 | "Mar 28, 2017",2.14,2.35,2.14,2.27,"7,125,770","192,717,000" 176 | "Mar 27, 2017",2.36,2.37,2.12,2.13,"7,221,650","212,515,000" 177 | "Mar 26, 2017",2.28,2.38,2.28,2.31,"4,810,060","205,706,000" 178 | "Mar 25, 2017",2.42,2.43,2.28,2.28,"7,542,960","218,022,000" 179 | "Mar 24, 2017",2.29,2.48,2.27,2.41,"12,123,700","206,033,000" 180 | "Mar 23, 2017",2.39,2.40,2.24,2.29,"7,279,450","215,468,000" 181 | "Mar 22, 2017",2.43,2.51,2.25,2.40,"18,969,200","218,160,000" 182 | "Mar 21, 2017",1.95,2.43,1.91,2.43,"21,455,000","175,087,000" 183 | "Mar 20, 2017",1.93,2.01,1.93,1.95,"6,100,770","173,892,000" 184 | "Mar 19, 2017",1.71,2.00,1.71,1.92,"6,790,520","153,490,000" 185 | "Mar 18, 2017",1.91,1.91,1.65,1.70,"9,267,590","171,119,000" 186 | "Mar 17, 2017",2.09,2.22,1.81,1.91,"20,132,500","187,614,000" 187 | "Mar 16, 2017",1.81,2.13,1.80,2.13,"19,379,700","162,466,000" 188 | "Mar 15, 2017",1.66,1.80,1.64,1.80,"5,906,800","148,644,000" 189 | "Mar 14, 2017",1.65,1.78,1.63,1.66,"9,565,220","148,130,000" 190 | "Mar 13, 2017",1.42,1.67,1.42,1.65,"9,504,840","127,735,000" 191 | "Mar 12, 2017",1.39,1.43,1.37,1.42,"3,137,590","124,142,000" 192 | "Mar 11, 2017",1.30,1.39,1.30,1.38,"1,985,600","116,335,000" 193 | "Mar 10, 2017",1.33,1.38,1.23,1.30,"4,351,910","118,799,000" 194 | "Mar 09, 2017",1.29,1.33,1.28,1.32,"1,248,670","115,319,000" 195 | "Mar 08, 2017",1.37,1.37,1.29,1.29,"1,960,780","122,982,000" 196 | "Mar 07, 2017",1.43,1.44,1.35,1.37,"2,220,840","128,228,000" 197 | "Mar 06, 2017",1.40,1.44,1.40,1.43,"1,172,880","125,032,000" 198 | "Mar 05, 2017",1.43,1.44,1.39,1.40,"1,580,650","128,238,000" 199 | "Mar 04, 2017",1.44,1.48,1.40,1.43,"2,412,650","128,748,000" 200 | "Mar 03, 2017",1.37,1.44,1.35,1.44,"4,159,960","122,017,000" 201 | "Mar 02, 2017",1.40,1.40,1.34,1.36,"3,776,100","124,927,000" 202 | "Mar 01, 2017",1.24,1.42,1.23,1.40,"4,561,930","110,412,000" 203 | "Feb 28, 2017",1.24,1.26,1.23,1.24,"1,444,190","110,317,000" 204 | "Feb 27, 2017",1.25,1.26,1.23,1.23,"1,284,690","111,240,000" 205 | "Feb 26, 2017",1.21,1.25,1.20,1.25,"1,486,190","108,135,000" 206 | "Feb 25, 2017",1.21,1.22,1.17,1.21,"1,337,270","107,563,000" 207 | "Feb 24, 2017",1.23,1.24,1.20,1.21,"2,141,280","109,710,000" 208 | "Feb 23, 2017",1.21,1.23,1.20,1.22,"1,254,060","108,040,000" 209 | "Feb 22, 2017",1.24,1.25,1.21,1.21,"1,014,370","110,732,000" 210 | "Feb 21, 2017",1.22,1.25,1.21,1.24,"1,034,130","108,797,000" 211 | "Feb 20, 2017",1.22,1.24,1.22,1.22,"609,461","108,897,000" 212 | "Feb 19, 2017",1.22,1.24,1.22,1.22,"642,421","108,590,000" 213 | "Feb 18, 2017",1.23,1.24,1.21,1.22,"1,130,150","109,624,000" 214 | "Feb 17, 2017",1.23,1.25,1.23,1.23,"781,116","109,732,000" 215 | "Feb 16, 2017",1.26,1.27,1.23,1.24,"1,067,180","112,162,000" 216 | "Feb 15, 2017",1.25,1.28,1.24,1.26,"1,164,420","110,928,000" 217 | "Feb 14, 2017",1.20,1.25,1.19,1.25,"1,588,940","106,179,000" 218 | "Feb 13, 2017",1.23,1.23,1.18,1.19,"1,459,080","108,925,000" 219 | "Feb 12, 2017",1.24,1.24,1.21,1.23,"1,574,630","109,633,000" 220 | "Feb 11, 2017",1.26,1.29,1.23,1.24,"1,627,780","111,538,000" 221 | "Feb 10, 2017",1.27,1.28,1.21,1.26,"1,814,640","113,045,000" 222 | "Feb 09, 2017",1.46,1.48,1.20,1.27,"4,496,600","129,031,000" 223 | "Feb 08, 2017",1.48,1.50,1.42,1.45,"1,227,740","130,979,000" 224 | "Feb 07, 2017",1.48,1.53,1.47,1.47,"1,381,580","130,982,000" 225 | "Feb 06, 2017",1.39,1.50,1.39,1.47,"2,217,650","123,057,000" 226 | "Feb 05, 2017",1.39,1.39,1.36,1.39,"734,278","123,124,000" 227 | "Feb 04, 2017",1.36,1.40,1.36,1.39,"888,228","120,607,000" 228 | "Feb 03, 2017",1.36,1.38,1.35,1.36,"985,487","120,305,000" 229 | "Feb 02, 2017",1.35,1.37,1.33,1.36,"486,080","119,811,000" 230 | "Feb 01, 2017",1.36,1.38,1.35,1.36,"738,198","120,212,000" 231 | "Jan 31, 2017",1.35,1.38,1.33,1.36,"1,080,040","119,181,000" 232 | "Jan 30, 2017",1.30,1.35,1.29,1.35,"564,097","114,748,000" 233 | "Jan 29, 2017",1.30,1.31,1.29,1.30,"308,654","115,225,000" 234 | "Jan 28, 2017",1.28,1.31,1.28,1.30,"513,562","113,059,000" 235 | "Jan 27, 2017",1.33,1.35,1.28,1.28,"1,341,760","117,575,000" 236 | "Jan 26, 2017",1.29,1.36,1.29,1.33,"948,543","113,854,000" 237 | "Jan 25, 2017",1.36,1.37,1.29,1.29,"1,373,550","119,962,000" 238 | "Jan 24, 2017",1.39,1.40,1.36,1.36,"921,969","122,697,000" 239 | "Jan 23, 2017",1.39,1.41,1.37,1.41,"797,981","122,297,000" 240 | "Jan 22, 2017",1.41,1.47,1.36,1.38,"1,770,900","124,520,000" 241 | "Jan 21, 2017",1.34,1.44,1.34,1.41,"3,094,200","118,279,000" 242 | "Jan 20, 2017",1.17,1.40,1.16,1.34,"4,968,780","103,069,000" 243 | "Jan 19, 2017",1.20,1.22,1.16,1.17,"686,642","105,903,000" 244 | "Jan 18, 2017",1.21,1.22,1.16,1.20,"984,448","106,445,000" 245 | "Jan 17, 2017",1.18,1.23,1.18,1.21,"1,531,790","103,624,000" 246 | "Jan 16, 2017",1.19,1.20,1.17,1.18,"368,937","104,251,000" 247 | "Jan 15, 2017",1.20,1.21,1.16,1.19,"748,170","105,800,000" 248 | "Jan 14, 2017",1.21,1.23,1.19,1.20,"574,209","106,020,000" 249 | "Jan 13, 2017",1.21,1.25,1.17,1.21,"1,510,150","106,440,000" 250 | "Jan 12, 2017",1.17,1.25,1.12,1.22,"1,906,150","103,032,000" 251 | "Jan 11, 2017",1.43,1.45,1.15,1.18,"3,176,450","125,722,000" 252 | "Jan 10, 2017",1.41,1.45,1.41,1.43,"1,161,360","123,839,000" 253 | "Jan 09, 2017",1.45,1.46,1.39,1.41,"1,833,120","127,367,000" 254 | "Jan 08, 2017",1.44,1.50,1.42,1.45,"1,085,530","126,377,000" 255 | "Jan 07, 2017",1.51,1.51,1.27,1.44,"3,523,930","132,231,000" 256 | "Jan 06, 2017",1.63,1.65,1.42,1.51,"3,402,610","142,529,000" 257 | "Jan 05, 2017",1.77,1.91,1.44,1.61,"7,339,060","154,605,000" 258 | "Jan 04, 2017",1.49,1.79,1.49,1.76,"7,173,020","130,536,000" 259 | "Jan 03, 2017",1.44,1.60,1.41,1.49,"5,508,620","125,771,000" 260 | "Jan 02, 2017",1.40,1.46,1.36,1.44,"3,098,340","122,159,000" 261 | "Jan 01, 2017",1.41,1.50,1.35,1.40,"3,570,370","123,453,000" 262 | "Dec 31, 2016",1.55,1.58,1.33,1.41,"3,908,650","135,389,000" 263 | "Dec 30, 2016",1.43,1.63,1.42,1.55,"9,605,480","124,970,000" 264 | "Dec 29, 2016",1.11,1.46,1.11,1.43,"8,164,640","97,111,000" 265 | "Dec 28, 2016",1.05,1.12,1.04,1.11,"1,532,120","91,838,000" 266 | "Dec 27, 2016",1.04,1.07,1.03,1.05,"838,558","91,042,200" 267 | "Dec 26, 2016",1.07,1.08,1.03,1.04,"706,717","93,483,900" 268 | "Dec 25, 2016",1.12,1.13,1.06,1.07,"1,115,620","97,352,300" 269 | "Dec 24, 2016",1.05,1.13,1.04,1.12,"1,701,720","91,254,200" 270 | "Dec 23, 2016",1.10,1.11,1.02,1.05,"4,006,640","95,854,800" 271 | "Dec 22, 2016",1.14,1.16,1.08,1.10,"2,408,530","99,217,600" 272 | "Dec 21, 2016",1.14,1.17,1.12,1.14,"2,182,690","98,977,000" 273 | "Dec 20, 2016",1.20,1.20,1.13,1.14,"2,311,760","104,095,000" 274 | "Dec 19, 2016",1.06,1.21,1.06,1.20,"3,140,940","92,384,900" 275 | "Dec 18, 2016",1.01,1.06,1.01,1.05,"632,975","87,709,900" 276 | "Dec 17, 2016",1.07,1.07,0.991880,1.01,"1,410,390","92,896,500" 277 | "Dec 16, 2016",1.08,1.09,1.04,1.07,"1,463,920","94,032,300" 278 | "Dec 15, 2016",0.992717,1.11,0.983595,1.08,"3,175,330","86,222,800" 279 | "Dec 14, 2016",0.983412,0.999941,0.960026,0.994840,"1,119,820","85,382,100" 280 | "Dec 13, 2016",0.909894,0.998996,0.909467,0.983316,"1,507,660","78,969,100" 281 | "Dec 12, 2016",0.930270,0.958333,0.899886,0.908797,"1,153,900","80,707,700" 282 | "Dec 11, 2016",0.858400,0.962086,0.857915,0.930446,"1,751,520","74,443,900" 283 | "Dec 10, 2016",0.809507,0.871926,0.802917,0.860004,"547,454","70,176,700" 284 | "Dec 09, 2016",0.817856,0.839118,0.798441,0.809223,"579,338","70,873,700" 285 | "Dec 08, 2016",0.824569,0.830944,0.806180,0.817662,"528,148","71,428,700" 286 | "Dec 07, 2016",0.782190,0.833355,0.773184,0.822794,"582,894","67,732,800" 287 | "Dec 06, 2016",0.839794,0.846754,0.743399,0.782294,"1,518,070","72,693,900" 288 | "Dec 05, 2016",0.768666,0.856350,0.755031,0.837907,"1,459,110","66,510,700" 289 | "Dec 04, 2016",0.772527,0.787780,0.753897,0.768952,"556,114","66,820,700" 290 | "Dec 03, 2016",0.802240,0.807527,0.769488,0.772839,"396,889","69,364,500" 291 | "Dec 02, 2016",0.767199,0.813424,0.736627,0.801643,"1,205,640","66,309,800" 292 | "Dec 01, 2016",0.747475,0.791416,0.746875,0.766635,"413,683","64,580,700" 293 | "Nov 30, 2016",0.748118,0.766068,0.744628,0.748166,"382,146","64,612,500" 294 | "Nov 29, 2016",0.759591,0.782389,0.721561,0.747909,"796,887","65,578,800" 295 | "Nov 28, 2016",0.777354,0.785192,0.757560,0.759313,"267,367","67,087,300" 296 | "Nov 27, 2016",0.781763,0.801659,0.773297,0.778122,"270,799","67,442,700" 297 | "Nov 26, 2016",0.840183,0.842262,0.781507,0.781978,"445,946","72,456,000" 298 | "Nov 25, 2016",0.771917,0.861533,0.763722,0.845464,"1,354,540","66,544,000" 299 | "Nov 24, 2016",0.815735,0.818415,0.736664,0.769668,"1,100,000","70,293,700" 300 | "Nov 23, 2016",0.837902,0.850430,0.808571,0.816454,"742,687","72,179,000" 301 | "Nov 22, 2016",0.850341,0.869077,0.838704,0.840367,"440,341","73,223,900" 302 | "Nov 21, 2016",0.858654,0.862085,0.844641,0.850297,"273,020","73,912,300" 303 | "Nov 20, 2016",0.861040,0.878762,0.854087,0.858533,"383,441","74,089,000" 304 | "Nov 19, 2016",0.869411,0.872324,0.858540,0.860979,"377,116","74,779,900" 305 | "Nov 18, 2016",0.892677,0.899389,0.869739,0.871999,"545,120","76,751,400" 306 | "Nov 17, 2016",0.909435,0.912217,0.891184,0.893229,"479,144","78,162,800" 307 | "Nov 16, 2016",0.925537,0.929437,0.907834,0.909567,"952,217","79,516,300" 308 | "Nov 15, 2016",0.891515,0.930568,0.883773,0.922699,"671,820","76,561,200" 309 | "Nov 14, 2016",0.900257,0.909434,0.886552,0.888597,"272,128","77,279,300" 310 | "Nov 13, 2016",0.910538,0.921815,0.902149,0.902412,"475,268","78,130,300" 311 | "Nov 12, 2016",0.917254,0.942472,0.902713,0.909944,"727,877","78,675,200" 312 | "Nov 11, 2016",0.923158,0.942383,0.897221,0.917606,"487,773","79,151,900" 313 | "Nov 10, 2016",0.913579,0.956011,0.898123,0.921264,"626,060","78,301,200" 314 | "Nov 09, 2016",0.941046,0.941046,0.908490,0.913514,"976,848","80,626,200" 315 | "Nov 08, 2016",0.930693,0.948537,0.923585,0.943784,"573,276","79,709,100" 316 | "Nov 07, 2016",0.986716,1.00,0.927765,0.927765,"1,030,590","84,474,700" 317 | "Nov 06, 2016",1.04,1.04,0.971174,0.982655,"1,078,790","89,079,700" 318 | "Nov 05, 2016",0.971074,1.06,0.958100,1.04,"1,950,000","83,072,800" 319 | "Nov 04, 2016",0.894031,1.00,0.891135,0.972006,"2,084,100","76,454,000" 320 | "Nov 03, 2016",0.887828,0.921573,0.882403,0.893556,"1,340,080","75,896,300" 321 | "Nov 02, 2016",0.885150,0.900933,0.876185,0.885256,"677,927","75,639,700" 322 | "Nov 01, 2016",0.901279,0.904825,0.870474,0.884664,"1,320,260","76,991,000" 323 | "Oct 31, 2016",0.930450,0.930450,0.897589,0.903216,"878,220","79,453,400" 324 | "Oct 30, 2016",0.890189,0.954583,0.885454,0.927473,"1,311,260","75,987,400" 325 | "Oct 29, 2016",0.940840,0.972594,0.872589,0.889612,"2,566,530","80,282,600" 326 | "Oct 28, 2016",0.995573,1.00,0.942647,0.942647,"1,298,910","84,921,800" 327 | "Oct 27, 2016",1.03,1.04,0.987830,0.995753,"2,343,270","87,960,500" 328 | "Oct 26, 2016",1.02,1.04,1.01,1.03,"798,289","86,814,900" 329 | "Oct 25, 2016",1.03,1.04,1.01,1.02,"1,434,440","87,706,100" 330 | "Oct 24, 2016",1.05,1.05,1.03,1.03,"613,841","89,121,900" 331 | "Oct 23, 2016",1.05,1.05,1.03,1.05,"548,805","89,059,000" 332 | "Oct 22, 2016",1.03,1.05,1.03,1.05,"1,046,830","87,678,400" 333 | "Oct 21, 2016",1.04,1.06,1.03,1.03,"787,404","88,668,400" 334 | "Oct 20, 2016",1.05,1.06,1.04,1.04,"715,948","89,675,000" 335 | "Oct 19, 2016",1.06,1.08,1.03,1.05,"1,033,890","89,893,500" 336 | "Oct 18, 2016",1.07,1.08,1.02,1.06,"1,721,510","91,309,400" 337 | "Oct 17, 2016",1.20,1.20,1.07,1.07,"3,167,420","101,983,000" 338 | "Oct 16, 2016",0.992743,1.21,0.990742,1.20,"3,374,640","84,301,800" 339 | "Oct 15, 2016",0.990989,0.998779,0.990081,0.992573,"574,708","84,120,800" 340 | "Oct 14, 2016",1.01,1.01,0.987065,0.991068,"928,586","85,829,400" 341 | "Oct 13, 2016",1.04,1.05,0.985671,1.01,"1,430,120","87,844,800" 342 | "Oct 12, 2016",1.10,1.10,1.01,1.04,"2,752,650","93,070,700" 343 | "Oct 11, 2016",1.15,1.17,1.09,1.10,"2,255,700","97,634,800" 344 | "Oct 10, 2016",1.17,1.17,1.15,1.15,"1,148,440","99,081,600" 345 | "Oct 09, 2016",1.18,1.19,1.17,1.17,"397,777","100,236,000" 346 | "Oct 08, 2016",1.17,1.20,1.16,1.18,"988,691","99,103,100" 347 | "Oct 07, 2016",1.17,1.18,1.15,1.17,"1,012,830","99,343,800" 348 | "Oct 06, 2016",1.19,1.19,1.16,1.17,"1,017,020","100,554,000" 349 | "Oct 05, 2016",1.16,1.23,1.16,1.19,"1,992,410","98,217,700" 350 | "Oct 04, 2016",1.19,1.20,1.16,1.16,"1,142,370","100,983,000" 351 | "Oct 03, 2016",1.19,1.22,1.17,1.19,"1,573,360","100,887,000" 352 | "Oct 02, 2016",1.19,1.22,1.19,1.19,"983,089","100,731,000" 353 | "Oct 01, 2016",1.26,1.26,1.17,1.19,"2,443,730","106,140,000" 354 | "Sep 30, 2016",1.27,1.27,1.24,1.26,"745,522","107,096,000" 355 | "Sep 29, 2016",1.25,1.29,1.22,1.27,"1,282,790","105,121,000" 356 | "Sep 28, 2016",1.20,1.27,1.20,1.25,"2,066,680","101,396,000" 357 | "Sep 27, 2016",1.20,1.21,1.17,1.20,"1,938,500","101,088,000" 358 | "Sep 26, 2016",1.21,1.22,1.20,1.20,"1,228,960","102,099,000" 359 | "Sep 25, 2016",1.25,1.25,1.21,1.21,"972,037","105,492,000" 360 | "Sep 24, 2016",1.24,1.25,1.22,1.25,"876,236","104,666,000" 361 | "Sep 23, 2016",1.25,1.29,1.22,1.24,"1,704,280","105,422,000" 362 | "Sep 22, 2016",1.22,1.33,1.13,1.25,"6,841,360","102,704,000" 363 | "Sep 21, 2016",1.24,1.26,1.22,1.22,"2,655,260","104,107,000" 364 | "Sep 20, 2016",1.27,1.28,1.24,1.25,"2,456,390","107,214,000" 365 | "Sep 19, 2016",1.32,1.33,1.28,1.28,"1,355,970","111,304,000" 366 | "Sep 18, 2016",1.32,1.35,1.32,1.32,"1,962,480","111,199,000" 367 | "Sep 17, 2016",1.32,1.33,1.30,1.32,"1,030,080","111,151,000" 368 | "Sep 16, 2016",1.28,1.34,1.27,1.32,"1,873,990","107,390,000" 369 | "Sep 15, 2016",1.29,1.31,1.27,1.28,"1,366,170","108,413,000" 370 | "Sep 14, 2016",1.29,1.31,1.25,1.29,"1,593,070","107,907,000" 371 | "Sep 13, 2016",1.32,1.33,1.29,1.29,"1,627,740","111,010,000" 372 | "Sep 12, 2016",1.34,1.35,1.31,1.32,"1,735,650","112,052,000" 373 | "Sep 11, 2016",1.42,1.43,1.33,1.34,"4,152,550","118,754,000" 374 | "Sep 10, 2016",1.40,1.45,1.39,1.42,"1,485,050","117,067,000" 375 | "Sep 09, 2016",1.42,1.43,1.37,1.40,"2,336,300","119,154,000" 376 | "Sep 08, 2016",1.48,1.51,1.44,1.44,"2,554,920","123,795,000" 377 | "Sep 07, 2016",1.47,1.48,1.44,1.48,"2,868,960","122,689,000" 378 | "Sep 06, 2016",1.46,1.51,1.44,1.47,"2,566,580","121,876,000" 379 | "Sep 05, 2016",1.46,1.53,1.43,1.45,"4,621,750","122,418,000" 380 | "Sep 04, 2016",1.34,1.46,1.32,1.46,"3,690,740","112,345,000" 381 | "Sep 03, 2016",1.40,1.40,1.32,1.34,"4,659,540","116,853,000" 382 | "Sep 02, 2016",1.46,1.48,1.37,1.39,"6,325,890","121,870,000" 383 | "Sep 01, 2016",1.19,1.49,1.17,1.44,"13,501,800","99,255,000" 384 | "Aug 31, 2016",1.24,1.28,1.17,1.18,"6,098,980","103,201,000" 385 | "Aug 30, 2016",1.26,1.31,1.15,1.24,"6,984,970","105,167,000" 386 | "Aug 29, 2016",1.32,1.34,1.23,1.26,"6,289,800","109,994,000" 387 | "Aug 28, 2016",1.35,1.36,1.29,1.32,"4,837,510","112,287,000" 388 | "Aug 27, 2016",1.44,1.46,1.35,1.35,"3,494,870","119,989,000" 389 | "Aug 26, 2016",1.37,1.47,1.31,1.44,"6,251,250","114,207,000" 390 | "Aug 25, 2016",1.44,1.45,1.26,1.37,"9,500,860","120,071,000" 391 | "Aug 24, 2016",1.61,1.64,1.44,1.44,"6,191,350","133,732,000" 392 | "Aug 23, 2016",1.67,1.68,1.56,1.60,"6,292,880","139,367,000" 393 | "Aug 22, 2016",1.73,1.74,1.62,1.67,"4,757,220","143,596,000" 394 | "Aug 21, 2016",1.75,1.77,1.70,1.72,"1,866,780","145,110,000" 395 | "Aug 20, 2016",1.78,1.78,1.68,1.74,"3,315,060","147,957,000" 396 | "Aug 19, 2016",1.68,1.81,1.61,1.79,"6,186,480","139,926,000" 397 | "Aug 18, 2016",1.74,1.78,1.65,1.69,"4,469,650","144,697,000" 398 | "Aug 17, 2016",1.86,1.87,1.72,1.74,"5,087,980","154,458,000" 399 | "Aug 16, 2016",1.87,1.90,1.80,1.86,"4,062,150","154,786,000" 400 | "Aug 15, 2016",1.93,2.00,1.83,1.86,"7,282,060","159,898,000" 401 | "Aug 14, 2016",1.87,1.98,1.87,1.93,"6,985,300","154,946,000" 402 | "Aug 13, 2016",1.86,1.93,1.82,1.87,"3,822,490","153,918,000" 403 | "Aug 12, 2016",1.84,2.09,1.80,1.85,"15,418,800","152,797,000" 404 | "Aug 11, 2016",1.72,1.96,1.59,1.85,"17,263,000","142,268,000" 405 | "Aug 10, 2016",1.94,2.04,1.64,1.71,"20,082,200","160,983,000" 406 | "Aug 09, 2016",2.17,2.22,1.79,1.95,"23,612,300","179,978,000" 407 | "Aug 08, 2016",2.16,2.38,2.05,2.19,"15,781,200","178,435,000" 408 | "Aug 07, 2016",2.70,2.74,2.06,2.15,"31,153,900","222,683,000" 409 | "Aug 06, 2016",2.59,2.86,2.57,2.70,"22,874,700","213,044,000" 410 | "Aug 05, 2016",2.35,2.60,2.28,2.59,"20,254,400","193,412,000" 411 | "Aug 04, 2016",2.59,2.76,2.10,2.34,"43,516,500","213,375,000" 412 | "Aug 03, 2016",2.78,3.20,2.36,2.60,"74,184,500","228,712,000" 413 | "Aug 02, 2016",2.36,3.53,2.31,2.76,"147,855,000","194,318,000" 414 | "Aug 01, 2016",1.79,2.34,1.78,2.34,"45,924,200","147,548,000" 415 | "Jul 31, 2016",1.57,1.91,1.56,1.80,"29,167,500","129,265,000" 416 | "Jul 30, 2016",1.66,1.71,1.55,1.57,"10,061,600","136,213,000" 417 | "Jul 29, 2016",1.71,1.80,1.55,1.64,"20,745,500","140,887,000" 418 | "Jul 28, 2016",1.56,1.92,1.37,1.73,"40,291,300","128,530,000" 419 | "Jul 27, 2016",2.46,2.46,1.26,1.60,"62,645,700","202,315,000" 420 | "Jul 26, 2016",0.604737,2.85,0.600358,2.55,"103,066,000","49,768,300" 421 | "Jul 25, 2016",0.931993,0.932862,0.452446,0.602402,"9,308,400","76,700,600" 422 | "Jul 24, 2016",0.752345,0.959354,0.737342,0.928814,"17,769,300",- 423 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/iota_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",0.484758,0.505875,0.462614,0.497046,"7,574,760","1,347,400,000" 3 | "Sep 16, 2017",0.479385,0.510361,0.453232,0.487239,"13,452,000","1,332,470,000" 4 | "Sep 15, 2017",0.445700,0.509332,0.372595,0.480510,"41,983,100","1,238,840,000" 5 | "Sep 14, 2017",0.565841,0.573630,0.445019,0.445019,"25,946,400","1,572,770,000" 6 | "Sep 13, 2017",0.592512,0.595366,0.479349,0.556820,"31,807,500","1,646,910,000" 7 | "Sep 12, 2017",0.561696,0.647193,0.557297,0.591949,"43,345,900","1,561,250,000" 8 | "Sep 11, 2017",0.498380,0.558273,0.481498,0.558273,"23,660,500","1,385,260,000" 9 | "Sep 10, 2017",0.561304,0.567870,0.462834,0.495607,"32,733,100","1,560,160,000" 10 | "Sep 09, 2017",0.525939,0.583964,0.524823,0.560809,"15,317,400","1,461,860,000" 11 | "Sep 08, 2017",0.648249,0.660258,0.490346,0.540475,"48,691,600","1,801,830,000" 12 | "Sep 07, 2017",0.739668,0.739668,0.622366,0.645758,"31,377,000","2,055,930,000" 13 | "Sep 06, 2017",0.613529,0.749172,0.601484,0.741663,"33,093,300","1,705,320,000" 14 | "Sep 05, 2017",0.544132,0.646085,0.468949,0.613085,"45,817,500","1,512,430,000" 15 | "Sep 04, 2017",0.744257,0.744257,0.406795,0.566472,"74,601,300","2,068,680,000" 16 | "Sep 03, 2017",0.698855,0.775863,0.672850,0.743968,"29,504,600","1,942,490,000" 17 | "Sep 02, 2017",0.796560,0.802464,0.658006,0.695547,"39,333,900","2,214,060,000" 18 | "Sep 01, 2017",0.842867,0.879100,0.768119,0.807778,"28,047,000","2,342,770,000" 19 | "Aug 31, 2017",0.869553,0.902074,0.828224,0.842424,"15,194,300","2,416,950,000" 20 | "Aug 30, 2017",0.812777,0.878203,0.792339,0.869647,"17,428,100","2,259,140,000" 21 | "Aug 29, 2017",0.876892,0.877578,0.746405,0.811961,"28,538,500","2,437,350,000" 22 | "Aug 28, 2017",0.922464,0.927742,0.784779,0.875197,"24,288,200","2,564,020,000" 23 | "Aug 27, 2017",0.962058,0.979088,0.887365,0.920351,"17,816,000","2,674,070,000" 24 | "Aug 26, 2017",0.915926,0.970068,0.877886,0.962213,"16,623,100","2,545,840,000" 25 | "Aug 25, 2017",0.894733,0.934651,0.837866,0.919635,"18,226,300","2,486,940,000" 26 | "Aug 24, 2017",0.854043,0.895101,0.813880,0.895101,"17,132,900","2,373,840,000" 27 | "Aug 23, 2017",0.842517,0.940389,0.834667,0.850371,"27,418,300","2,341,800,000" 28 | "Aug 22, 2017",0.901778,0.901778,0.786259,0.843775,"26,333,800","2,506,520,000" 29 | "Aug 21, 2017",0.907423,0.939166,0.843577,0.906269,"32,558,600","2,522,210,000" 30 | "Aug 20, 2017",0.971222,1.02,0.939619,0.942205,"29,447,600","2,699,540,000" 31 | "Aug 19, 2017",0.871580,0.985748,0.778133,0.978521,"39,975,500","2,422,580,000" 32 | "Aug 18, 2017",1.01,1.03,0.774400,0.870147,"58,053,400","2,819,080,000" 33 | "Aug 17, 2017",1.04,1.10,0.998241,1.02,"58,209,300","2,904,020,000" 34 | "Aug 16, 2017",0.914727,1.05,0.878567,1.05,"52,081,500","2,542,510,000" 35 | "Aug 15, 2017",0.977320,0.995791,0.767236,0.917949,"84,698,300","2,716,490,000" 36 | "Aug 14, 2017",0.811738,0.976404,0.793682,0.976404,"54,630,900","2,256,250,000" 37 | "Aug 13, 2017",0.722169,0.829530,0.715382,0.807713,"41,198,400","2,007,290,000" 38 | "Aug 12, 2017",0.655191,0.727960,0.625521,0.721535,"20,358,000","1,821,120,000" 39 | "Aug 11, 2017",0.565525,0.710585,0.557827,0.654872,"43,618,800","1,571,890,000" 40 | "Aug 10, 2017",0.535805,0.588071,0.513250,0.566456,"16,602,500","1,489,290,000" 41 | "Aug 09, 2017",0.547121,0.555125,0.512566,0.543328,"13,294,400","1,520,740,000" 42 | "Aug 08, 2017",0.473874,0.550880,0.458992,0.547637,"21,988,500","1,317,150,000" 43 | "Aug 07, 2017",0.430804,0.491028,0.418088,0.474577,"14,717,700","1,197,430,000" 44 | "Aug 06, 2017",0.407690,0.440193,0.396851,0.431142,"6,276,510","1,133,190,000" 45 | "Aug 05, 2017",0.393176,0.427798,0.364083,0.407980,"9,091,140","1,092,850,000" 46 | "Aug 04, 2017",0.332239,0.420252,0.332239,0.391286,"20,179,000","923,468,000" 47 | "Aug 03, 2017",0.286578,0.336844,0.284765,0.332352,"8,239,810","796,552,000" 48 | "Aug 02, 2017",0.290135,0.293039,0.272032,0.286116,"3,439,800","806,440,000" 49 | "Aug 01, 2017",0.256665,0.296267,0.249623,0.290220,"5,169,910","713,408,000" 50 | "Jul 31, 2017",0.255064,0.259810,0.245768,0.254732,"2,563,820","708,959,000" 51 | "Jul 30, 2017",0.277339,0.279401,0.252831,0.254785,"3,165,840","770,872,000" 52 | "Jul 29, 2017",0.266567,0.277226,0.245848,0.275190,"2,788,270","740,931,000" 53 | "Jul 28, 2017",0.274876,0.278459,0.262736,0.265118,"2,884,740","764,026,000" 54 | "Jul 27, 2017",0.276850,0.285551,0.275467,0.275467,"3,343,540","769,512,000" 55 | "Jul 26, 2017",0.250571,0.283478,0.241237,0.274598,"4,626,790","696,469,000" 56 | "Jul 25, 2017",0.266827,0.269072,0.237998,0.250453,"2,917,500","741,654,000" 57 | "Jul 24, 2017",0.265136,0.273468,0.242731,0.266447,"4,502,060","736,952,000" 58 | "Jul 23, 2017",0.273693,0.280241,0.258485,0.269072,"3,065,860","760,738,000" 59 | "Jul 22, 2017",0.263390,0.278936,0.254406,0.273382,"4,107,430","732,099,000" 60 | "Jul 21, 2017",0.294760,0.305506,0.257626,0.264134,"6,344,870","819,295,000" 61 | "Jul 20, 2017",0.233503,0.298253,0.232192,0.292460,"10,332,500","649,028,000" 62 | "Jul 19, 2017",0.268162,0.284031,0.230686,0.232212,"6,339,730","745,365,000" 63 | "Jul 18, 2017",0.264569,0.309577,0.248754,0.267340,"11,433,600","735,378,000" 64 | "Jul 17, 2017",0.180717,0.278088,0.179114,0.263105,"15,254,300","502,309,000" 65 | "Jul 16, 2017",0.157961,0.185445,0.155173,0.180978,"4,178,170","439,057,000" 66 | "Jul 15, 2017",0.175237,0.176099,0.147933,0.158688,"3,913,220","487,076,000" 67 | "Jul 14, 2017",0.212999,0.214112,0.161877,0.175350,"3,347,860","592,038,000" 68 | "Jul 13, 2017",0.229099,0.238625,0.194249,0.214589,"4,129,150","636,787,000" 69 | "Jul 12, 2017",0.191125,0.237362,0.183955,0.228758,"4,646,480","531,237,000" 70 | "Jul 11, 2017",0.214742,0.231574,0.185681,0.187596,"6,946,200","596,881,000" 71 | "Jul 10, 2017",0.304476,0.304476,0.190539,0.217061,"8,233,640","846,301,000" 72 | "Jul 09, 2017",0.297377,0.312770,0.285475,0.302889,"2,474,500","826,569,000" 73 | "Jul 08, 2017",0.286164,0.320908,0.281393,0.305515,"3,273,950","795,402,000" 74 | "Jul 07, 2017",0.355803,0.355994,0.271859,0.284565,"8,804,780","988,966,000" 75 | "Jul 06, 2017",0.380253,0.382865,0.317295,0.353880,"8,218,370","1,056,920,000" 76 | "Jul 05, 2017",0.396273,0.400841,0.371809,0.380130,"3,061,100","1,101,450,000" 77 | "Jul 04, 2017",0.374900,0.410698,0.373865,0.396390,"3,933,710","1,042,050,000" 78 | "Jul 03, 2017",0.379055,0.384955,0.356024,0.376139,"3,873,180","1,053,600,000" 79 | "Jul 02, 2017",0.391880,0.396890,0.366798,0.382249,"2,971,770","1,089,240,000" 80 | "Jul 01, 2017",0.402295,0.414192,0.381489,0.389630,"2,334,640","1,118,190,000" 81 | "Jun 30, 2017",0.417167,0.453008,0.398195,0.401591,"5,044,270","1,159,530,000" 82 | "Jun 29, 2017",0.375767,0.459387,0.361568,0.417798,"5,324,020","1,044,460,000" 83 | "Jun 28, 2017",0.399874,0.399874,0.357338,0.379136,"4,704,400","1,111,460,000" 84 | "Jun 27, 2017",0.411989,0.420035,0.353549,0.392269,"4,411,090","1,145,140,000" 85 | "Jun 26, 2017",0.470192,0.473662,0.351156,0.402438,"9,101,080","1,306,910,000" 86 | "Jun 25, 2017",0.514185,0.525564,0.454951,0.470941,"5,012,890","1,429,190,000" 87 | "Jun 24, 2017",0.482769,0.635612,0.482769,0.512910,"19,215,500","1,341,870,000" 88 | "Jun 23, 2017",0.417769,0.480910,0.408405,0.480910,"3,768,560","1,161,200,000" 89 | "Jun 22, 2017",0.413371,0.427283,0.407261,0.417742,"2,343,320","1,148,980,000" 90 | "Jun 21, 2017",0.419439,0.437340,0.405037,0.413547,"3,999,810","1,165,840,000" 91 | "Jun 20, 2017",0.414299,0.422032,0.398649,0.418494,"3,755,470","1,151,560,000" 92 | "Jun 19, 2017",0.405456,0.420990,0.388231,0.412183,"3,543,640","1,126,980,000" 93 | "Jun 18, 2017",0.420597,0.426069,0.393790,0.405862,"2,514,450","1,169,060,000" 94 | "Jun 17, 2017",0.426762,0.444205,0.414139,0.419906,"3,100,660","1,186,200,000" 95 | "Jun 16, 2017",0.353285,0.448249,0.309852,0.410757,"6,920,690","981,966,000" 96 | "Jun 15, 2017",0.528284,0.543165,0.300365,0.363661,"10,300,400","1,468,380,000" 97 | "Jun 14, 2017",0.592347,0.606196,0.495745,0.528916,"14,194,900","1,646,450,000" 98 | "Jun 13, 2017",0.638503,0.652862,0.533910,0.590255,"25,425,600","1,774,740,000" 99 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/neo_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",20.64,20.64,18.36,19.86,"18,695,100","1,031,920,000" 3 | "Sep 16, 2017",18.75,22.98,18.50,20.76,"50,210,000","937,288,000" 4 | "Sep 15, 2017",15.81,19.12,13.32,18.74,"50,811,700","790,612,000" 5 | "Sep 14, 2017",20.08,20.75,14.95,15.69,"42,221,500","1,004,180,000" 6 | "Sep 13, 2017",20.83,21.29,17.80,20.06,"37,258,400","1,041,450,000" 7 | "Sep 12, 2017",21.87,23.60,19.86,20.97,"40,702,300","1,093,590,000" 8 | "Sep 11, 2017",22.68,23.97,21.70,21.88,"27,835,300","1,133,790,000" 9 | "Sep 10, 2017",21.76,23.64,19.37,22.75,"54,002,500","1,088,180,000" 10 | "Sep 09, 2017",24.63,24.63,21.55,21.96,"47,199,500","1,231,580,000" 11 | "Sep 08, 2017",30.59,30.59,22.41,24.86,"112,252,000","1,529,630,000" 12 | "Sep 07, 2017",21.30,33.55,20.54,30.78,"214,001,000","1,065,110,000" 13 | "Sep 06, 2017",22.97,24.32,20.30,21.36,"77,746,300","1,148,320,000" 14 | "Sep 05, 2017",21.88,23.85,18.93,22.80,"91,402,300","1,093,860,000" 15 | "Sep 04, 2017",30.44,30.44,17.40,21.83,"189,917,000","1,522,090,000" 16 | "Sep 03, 2017",31.77,32.65,28.58,30.32,"43,232,300","1,588,690,000" 17 | "Sep 02, 2017",31.69,34.81,28.55,31.72,"92,722,600","1,584,390,000" 18 | "Sep 01, 2017",33.17,33.57,28.87,32.01,"75,418,900","1,658,680,000" 19 | "Aug 31, 2017",32.93,35.09,32.60,33.16,"49,957,300","1,646,720,000" 20 | "Aug 30, 2017",33.48,35.84,29.71,33.10,"97,289,600","1,673,910,000" 21 | "Aug 29, 2017",38.46,38.46,30.69,33.66,"168,534,000","1,922,840,000" 22 | "Aug 28, 2017",40.23,40.31,37.38,38.45,"41,401,000","2,011,600,000" 23 | "Aug 27, 2017",38.58,41.23,37.42,40.09,"50,649,600","1,928,770,000" 24 | "Aug 26, 2017",40.31,40.52,37.70,38.59,"41,017,800","2,015,360,000" 25 | "Aug 25, 2017",41.96,42.26,39.78,40.30,"47,772,200","2,098,230,000" 26 | "Aug 24, 2017",39.92,42.13,39.31,42.05,"63,875,500","1,996,230,000" 27 | "Aug 23, 2017",35.83,44.03,35.25,40.00,"131,763,000","1,791,670,000" 28 | "Aug 22, 2017",35.16,36.17,31.60,35.85,"68,265,300","1,758,180,000" 29 | "Aug 21, 2017",38.04,38.28,34.15,35.30,"85,955,000","1,902,060,000" 30 | "Aug 20, 2017",39.63,40.65,38.16,38.19,"85,862,200","1,981,640,000" 31 | "Aug 19, 2017",38.86,42.22,35.40,39.97,"168,358,000","1,943,180,000" 32 | "Aug 18, 2017",40.85,41.16,31.32,38.85,"209,845,000","2,042,450,000" 33 | "Aug 17, 2017",45.72,46.34,38.91,40.69,"191,410,000","2,286,130,000" 34 | "Aug 16, 2017",46.98,51.24,44.69,45.54,"170,273,000","2,349,050,000" 35 | "Aug 15, 2017",47.50,47.99,39.52,47.49,"262,801,000","2,375,010,000" 36 | "Aug 14, 2017",47.63,52.02,44.79,47.43,"343,705,000","2,381,360,000" 37 | "Aug 13, 2017",36.86,52.63,35.32,46.65,"448,654,000","1,843,040,000" 38 | "Aug 12, 2017",33.16,37.37,30.45,36.61,"177,772,000","1,657,810,000" 39 | "Aug 11, 2017",36.32,39.13,27.58,33.50,"382,070,000","1,815,780,000" 40 | "Aug 10, 2017",21.68,38.44,21.36,36.18,"360,125,000","1,084,180,000" 41 | "Aug 09, 2017",18.34,21.94,17.46,21.75,"116,795,000","917,009,000" 42 | "Aug 08, 2017",18.73,19.34,15.59,18.27,"124,589,000","936,705,000" 43 | "Aug 07, 2017",15.20,20.24,14.36,18.68,"166,514,000","759,959,000" 44 | "Aug 06, 2017",14.17,16.19,13.42,15.21,"81,450,800","708,471,000" 45 | "Aug 05, 2017",10.39,14.95,10.24,14.02,"82,680,400","519,506,000" 46 | "Aug 04, 2017",10.84,11.22,9.97,10.43,"56,285,500","541,832,000" 47 | "Aug 03, 2017",8.19,10.70,8.06,10.67,"49,848,800","409,434,000" 48 | "Aug 02, 2017",7.85,8.30,7.71,8.11,"17,559,000","392,732,000" 49 | "Aug 01, 2017",7.36,8.20,6.96,7.86,"18,527,900","368,123,000" 50 | "Jul 31, 2017",7.16,7.43,7.02,7.33,"10,856,600","358,222,000" 51 | "Jul 30, 2017",7.27,7.30,6.94,7.15,"9,006,030","363,345,000" 52 | "Jul 29, 2017",7.09,7.46,6.76,7.26,"10,518,400","354,258,000" 53 | "Jul 28, 2017",7.75,7.88,6.93,7.09,"15,725,800","387,410,000" 54 | "Jul 27, 2017",7.22,7.94,7.13,7.72,"15,251,100","360,772,000" 55 | "Jul 26, 2017",7.33,7.59,6.58,7.17,"16,765,600","366,562,000" 56 | "Jul 25, 2017",8.48,8.48,6.88,7.35,"19,480,400","423,876,000" 57 | "Jul 24, 2017",8.61,8.81,8.19,8.46,"21,283,700","430,471,000" 58 | "Jul 23, 2017",8.64,8.93,7.76,8.57,"29,915,100","431,881,000" 59 | "Jul 22, 2017",7.39,9.12,7.31,8.62,"32,890,800","369,727,000" 60 | "Jul 21, 2017",7.24,7.97,7.03,7.42,"21,298,000","361,826,000" 61 | "Jul 20, 2017",5.89,7.47,5.89,7.21,"25,476,100","294,317,000" 62 | "Jul 19, 2017",6.04,6.23,5.65,5.88,"14,255,500","301,935,000" 63 | "Jul 18, 2017",5.77,6.29,5.51,6.02,"18,101,700","288,470,000" 64 | "Jul 17, 2017",5.06,5.85,5.03,5.77,"15,013,000","253,054,000" 65 | "Jul 16, 2017",5.03,5.27,4.83,5.04,"9,498,420","251,399,000" 66 | "Jul 15, 2017",5.55,5.55,4.98,5.03,"11,294,200","277,400,000" 67 | "Jul 14, 2017",6.27,6.29,5.42,5.54,"12,351,000","313,433,000" 68 | "Jul 13, 2017",6.68,6.95,5.91,6.29,"17,824,000","334,240,000" 69 | "Jul 12, 2017",5.31,6.69,5.07,6.63,"23,337,300","265,564,000" 70 | "Jul 11, 2017",5.93,6.11,4.83,5.40,"20,182,900","296,309,000" 71 | "Jul 10, 2017",6.91,6.96,5.58,6.03,"11,395,300","345,719,000" 72 | "Jul 09, 2017",7.40,7.62,6.87,6.90,"10,422,500","370,072,000" 73 | "Jul 08, 2017",6.79,7.63,5.91,7.45,"24,138,500","339,382,000" 74 | "Jul 07, 2017",7.83,7.89,6.74,6.77,"16,409,500","391,569,000" 75 | "Jul 06, 2017",7.98,8.34,7.69,7.84,"17,932,500","399,093,000" 76 | "Jul 05, 2017",7.77,8.66,7.23,8.03,"29,368,100","388,453,000" 77 | "Jul 04, 2017",8.22,8.49,7.77,7.78,"15,781,600","410,831,000" 78 | "Jul 03, 2017",8.06,8.48,7.52,8.22,"28,820,400","402,786,000" 79 | "Jul 02, 2017",7.96,8.51,6.75,8.10,"47,478,700","397,988,000" 80 | "Jul 01, 2017",8.77,9.24,7.74,7.95,"33,128,400","438,293,000" 81 | "Jun 30, 2017",9.72,10.00,8.60,8.73,"43,355,500","485,988,000" 82 | "Jun 29, 2017",8.34,10.07,7.91,9.77,"77,050,000","416,970,000" 83 | "Jun 28, 2017",6.96,8.69,6.49,8.38,"72,982,300","347,826,000" 84 | "Jun 27, 2017",5.35,7.26,5.09,6.83,"71,029,700","267,538,000" 85 | "Jun 26, 2017",5.95,6.22,4.42,5.53,"27,615,900","297,587,000" 86 | "Jun 25, 2017",6.29,6.46,5.66,5.95,"24,890,900","314,543,000" 87 | "Jun 24, 2017",6.87,7.11,6.25,6.30,"33,359,500","343,738,000" 88 | "Jun 23, 2017",6.92,7.43,5.78,6.84,"67,033,300","346,025,000" 89 | "Jun 22, 2017",10.16,10.51,6.90,6.94,"115,249,000","507,921,000" 90 | "Jun 21, 2017",8.04,10.21,7.81,10.15,"88,374,400","401,956,000" 91 | "Jun 20, 2017",11.79,11.79,7.87,8.00,"126,661,000","589,390,000" 92 | "Jun 19, 2017",5.46,11.81,5.46,11.72,"281,341,000","273,011,000" 93 | "Jun 18, 2017",3.79,5.26,3.47,5.26,"61,381,000","189,717,000" 94 | "Jun 17, 2017",2.80,4.18,2.70,3.76,"82,601,000","139,894,000" 95 | "Jun 16, 2017",1.80,2.81,1.72,2.77,"45,782,200","90,202,000" 96 | "Jun 15, 2017",1.74,1.84,1.54,1.78,"9,550,940","86,947,000" 97 | "Jun 14, 2017",1.81,1.94,1.68,1.74,"10,497,200","90,657,000" 98 | "Jun 13, 2017",1.50,1.86,1.50,1.81,"10,456,500","75,221,500" 99 | "Jun 12, 2017",1.67,1.69,1.40,1.51,"7,492,490","83,716,000" 100 | "Jun 11, 2017",1.69,1.73,1.52,1.67,"6,479,410","84,426,000" 101 | "Jun 10, 2017",1.54,2.07,1.53,1.68,"17,295,300","77,129,000" 102 | "Jun 09, 2017",1.36,1.59,1.33,1.55,"9,728,020","67,874,000" 103 | "Jun 08, 2017",1.27,1.36,1.19,1.36,"7,118,290","63,677,000" 104 | "Jun 07, 2017",1.34,1.36,1.27,1.28,"2,994,510","66,929,500" 105 | "Jun 06, 2017",1.28,1.37,1.20,1.34,"5,234,170","63,757,000" 106 | "Jun 05, 2017",1.27,1.35,1.25,1.28,"3,876,920","63,267,500" 107 | "Jun 04, 2017",1.25,1.32,1.22,1.26,"2,572,220","62,425,500" 108 | "Jun 03, 2017",1.36,1.36,1.15,1.26,"4,049,740","68,122,000" 109 | "Jun 02, 2017",1.25,1.40,1.18,1.35,"7,157,890","62,290,500" 110 | "Jun 01, 2017",1.03,1.30,1.01,1.24,"8,061,920","51,383,000" 111 | "May 31, 2017",1.02,1.08,0.966531,1.03,"3,001,020","51,167,000" 112 | "May 30, 2017",0.975403,1.13,0.970573,1.02,"5,393,720","48,770,200" 113 | "May 29, 2017",0.921727,0.974728,0.873447,0.966765,"2,171,000","46,086,400" 114 | "May 28, 2017",0.989557,1.07,0.814832,0.930106,"5,133,830","49,477,900" 115 | "May 27, 2017",0.806824,1.03,0.598245,0.982348,"7,025,920","40,341,200" 116 | "May 26, 2017",1.11,1.22,0.694110,0.826549,"6,847,940","55,293,000" 117 | "May 25, 2017",1.74,1.74,1.01,1.11,"12,458,000","87,149,500" 118 | "May 24, 2017",0.878954,1.90,0.863444,1.76,"22,900,400","43,947,700" 119 | "May 23, 2017",0.721726,0.901805,0.695115,0.877157,"3,858,760","36,086,300" 120 | "May 22, 2017",0.682007,0.742591,0.669175,0.720486,"2,331,300","34,100,400" 121 | "May 21, 2017",0.665434,0.744667,0.618864,0.664141,"2,621,930","33,271,700" 122 | "May 20, 2017",0.638148,0.671513,0.612225,0.665485,"1,476,170","31,907,400" 123 | "May 19, 2017",0.539752,0.682251,0.539752,0.631860,"1,884,600","26,987,600" 124 | "May 18, 2017",0.533423,0.552265,0.514519,0.539481,"1,201,540","26,671,200" 125 | "May 17, 2017",0.464285,0.531643,0.454101,0.531643,"1,328,670","23,214,200" 126 | "May 16, 2017",0.474567,0.474567,0.452551,0.463667,"637,204","23,728,400" 127 | "May 15, 2017",0.477364,0.493300,0.454150,0.470057,"897,219","23,868,200" 128 | "May 14, 2017",0.483372,0.490861,0.473253,0.477543,"501,693","24,168,600" 129 | "May 13, 2017",0.487873,0.491284,0.451528,0.484544,"616,908","24,393,600" 130 | "May 12, 2017",0.480874,0.508175,0.469682,0.487684,"548,028","24,043,700" 131 | "May 11, 2017",0.504314,0.520573,0.431391,0.481077,"953,152","25,215,700" 132 | "May 10, 2017",0.449260,0.541055,0.449260,0.503894,"843,243","22,463,000" 133 | "May 09, 2017",0.496131,0.501255,0.407576,0.449370,"1,076,450","24,806,600" 134 | "May 08, 2017",0.530300,0.542761,0.486931,0.496572,"1,025,750","26,515,000" 135 | "May 07, 2017",0.585263,0.591143,0.516306,0.535792,"1,249,060","29,263,200" 136 | "May 06, 2017",0.572854,0.590350,0.537649,0.587670,"1,341,720","28,642,700" 137 | "May 05, 2017",0.493833,0.576426,0.470129,0.576426,"2,660,100","24,691,600" 138 | "May 04, 2017",0.345096,0.500403,0.334537,0.500309,"2,317,450","17,254,800" 139 | "May 03, 2017",0.314746,0.348589,0.309078,0.343782,"758,237","15,737,300" 140 | "May 02, 2017",0.319147,0.326074,0.280153,0.314833,"588,824","15,957,400" 141 | "May 01, 2017",0.361689,0.361689,0.269563,0.318838,"1,142,050","18,084,400" 142 | "Apr 30, 2017",0.271731,0.362409,0.268994,0.360099,"1,631,520","13,586,500" 143 | "Apr 29, 2017",0.229612,0.290570,0.221128,0.271729,"960,013","11,480,600" 144 | "Apr 28, 2017",0.202194,0.229271,0.201420,0.229255,"473,689","10,109,700" 145 | "Apr 27, 2017",0.184394,0.208510,0.181833,0.202092,"327,972","9,219,700" 146 | "Apr 26, 2017",0.183475,0.188085,0.179909,0.184577,"185,400","9,173,750" 147 | "Apr 25, 2017",0.173606,0.184094,0.166802,0.183504,"241,805","8,680,300" 148 | "Apr 24, 2017",0.177077,0.177153,0.163354,0.173758,"262,706","8,853,850" 149 | "Apr 23, 2017",0.180684,0.185985,0.169937,0.174960,"175,678","9,034,200" 150 | "Apr 22, 2017",0.178943,0.188524,0.173304,0.183058,"288,119","8,947,150" 151 | "Apr 21, 2017",0.184685,0.185694,0.174442,0.178122,"263,127","9,234,250" 152 | "Apr 20, 2017",0.189534,0.191015,0.178645,0.184725,"222,525","9,476,700" 153 | "Apr 19, 2017",0.180622,0.190709,0.178089,0.189408,"297,302","9,031,100" 154 | "Apr 18, 2017",0.191910,0.192224,0.176355,0.180479,"348,694","9,595,500" 155 | "Apr 17, 2017",0.191583,0.192535,0.179468,0.191489,"331,308","9,579,150" 156 | "Apr 16, 2017",0.193672,0.195650,0.188923,0.192076,"167,886","9,683,600" 157 | "Apr 15, 2017",0.192991,0.194574,0.190452,0.192164,"76,566","9,649,550" 158 | "Apr 14, 2017",0.191540,0.193960,0.190495,0.192958,"103,138","9,577,000" 159 | "Apr 13, 2017",0.193966,0.196013,0.190089,0.191686,"147,722","9,698,300" 160 | "Apr 12, 2017",0.198357,0.200199,0.191723,0.195553,"192,252","9,917,850" 161 | "Apr 11, 2017",0.209023,0.211772,0.189697,0.197826,"257,457","10,451,200" 162 | "Apr 10, 2017",0.188842,0.220733,0.186149,0.207874,"208,420","9,442,100" 163 | "Apr 09, 2017",0.189679,0.191026,0.186312,0.188861,"97,362","9,483,950" 164 | "Apr 08, 2017",0.189456,0.193674,0.188398,0.190221,"54,654","9,472,800" 165 | "Apr 07, 2017",0.187871,0.192661,0.184796,0.188531,"81,618","9,393,550" 166 | "Apr 06, 2017",0.184767,0.190455,0.184234,0.186430,"82,505","9,238,350" 167 | "Apr 05, 2017",0.185082,0.192548,0.182758,0.184719,"102,043","9,254,100" 168 | "Apr 04, 2017",0.199874,0.202591,0.181038,0.185002,"148,096","9,993,700" 169 | "Apr 03, 2017",0.205808,0.205959,0.196132,0.199703,"104,805","10,290,400" 170 | "Apr 02, 2017",0.203584,0.206776,0.200261,0.205480,"102,369","10,179,200" 171 | "Apr 01, 2017",0.203606,0.206153,0.194440,0.205017,"109,993","10,180,300" 172 | "Mar 31, 2017",0.210236,0.213953,0.196505,0.203541,"291,529","10,511,800" 173 | "Mar 30, 2017",0.212468,0.221930,0.206085,0.210556,"504,940","10,623,400" 174 | "Mar 29, 2017",0.220650,0.225506,0.205719,0.212428,"335,567","11,032,500" 175 | "Mar 28, 2017",0.186277,0.235749,0.180596,0.220632,"821,674","9,313,850" 176 | "Mar 27, 2017",0.161165,0.191642,0.160717,0.186426,"201,563","8,058,250" 177 | "Mar 26, 2017",0.167267,0.175043,0.158772,0.160384,"37,656","8,363,350" 178 | "Mar 25, 2017",0.166941,0.167388,0.157475,0.167305,"47,641","8,347,050" 179 | "Mar 24, 2017",0.166412,0.178022,0.159289,0.166465,"52,184","8,320,600" 180 | "Mar 23, 2017",0.173183,0.176421,0.156976,0.166412,"38,169","8,659,150" 181 | "Mar 22, 2017",0.164951,0.179551,0.159475,0.173143,"157,814","8,247,550" 182 | "Mar 21, 2017",0.153972,0.167727,0.150715,0.164934,"234,287","7,698,600" 183 | "Mar 20, 2017",0.157444,0.162542,0.149597,0.153898,"68,539","7,872,200" 184 | "Mar 19, 2017",0.159019,0.163016,0.149322,0.157560,"68,673","7,950,950" 185 | "Mar 18, 2017",0.140006,0.172281,0.140006,0.158987,"188,985","7,000,300" 186 | "Mar 17, 2017",0.131324,0.166127,0.122856,0.139902,"63,413","6,566,200" 187 | "Mar 16, 2017",0.128773,0.136685,0.125514,0.131867,"20,678","6,438,650" 188 | "Mar 15, 2017",0.133699,0.140774,0.128158,0.128653,"16,169","6,684,950" 189 | "Mar 14, 2017",0.136986,0.137204,0.127028,0.133681,"23,746","6,849,300" 190 | "Mar 13, 2017",0.140799,0.140823,0.127288,0.136979,"23,196","7,039,950" 191 | "Mar 12, 2017",0.142217,0.143570,0.131473,0.140575,"36,588","7,110,850" 192 | "Mar 11, 2017",0.131403,0.142793,0.129965,0.142142,"32,281","6,570,150" 193 | "Mar 10, 2017",0.132107,0.141972,0.120088,0.131476,"34,319","6,605,350" 194 | "Mar 09, 2017",0.116266,0.140766,0.114151,0.132026,"21,035","5,813,300" 195 | "Mar 08, 2017",0.122602,0.128715,0.116242,0.116242,"5,536","6,130,100" 196 | "Mar 07, 2017",0.123459,0.123531,0.116952,0.122573,"8,291","6,172,950" 197 | "Mar 06, 2017",0.121782,0.124417,0.118414,0.123450,"10,659","6,089,100" 198 | "Mar 05, 2017",0.119821,0.123680,0.116513,0.121757,"4,192","5,991,050" 199 | "Mar 04, 2017",0.122602,0.125583,0.117666,0.119901,"6,235","6,130,100" 200 | "Mar 03, 2017",0.119272,0.124929,0.118119,0.122444,"9,499","5,963,600" 201 | "Mar 02, 2017",0.135408,0.135475,0.115596,0.119301,"8,963","6,770,400" 202 | "Mar 01, 2017",0.117455,0.135197,0.113717,0.135197,"12,914","5,872,750" 203 | "Feb 28, 2017",0.115442,0.118271,0.113307,0.117443,"19,659","5,772,100" 204 | "Feb 27, 2017",0.115234,0.118632,0.109630,0.115376,"8,960","5,761,700" 205 | "Feb 26, 2017",0.114553,0.115582,0.104331,0.114986,"8,433","5,727,650" 206 | "Feb 25, 2017",0.120864,0.121660,0.110955,0.114526,"9,339","6,043,200" 207 | "Feb 24, 2017",0.119243,0.136124,0.086475,0.121185,"17,386","5,962,150" 208 | "Feb 23, 2017",0.121958,0.122226,0.114699,0.118724,"6,304","6,097,900" 209 | "Feb 22, 2017",0.124515,0.124515,0.115683,0.121959,"6,903","6,225,750" 210 | "Feb 21, 2017",0.121400,0.127322,0.114101,0.121561,"14,370","6,070,000" 211 | "Feb 20, 2017",0.123001,0.127204,0.116679,0.121475,"10,971","6,150,050" 212 | "Feb 19, 2017",0.124522,0.124827,0.117671,0.122905,"4,321","6,226,100" 213 | "Feb 18, 2017",0.122901,0.130873,0.119005,0.124431,"13,458","6,145,050" 214 | "Feb 17, 2017",0.125972,0.130485,0.115022,0.122661,"28,259","6,298,600" 215 | "Feb 16, 2017",0.112739,0.126088,0.112574,0.126088,"10,795","5,636,950" 216 | "Feb 15, 2017",0.116744,0.120698,0.111437,0.112729,"5,690","5,837,200" 217 | "Feb 14, 2017",0.118339,0.121985,0.114384,0.116603,"6,788","5,916,950" 218 | "Feb 13, 2017",0.121530,0.137720,0.118105,0.118286,"6,977","6,076,500" 219 | "Feb 12, 2017",0.125493,0.137479,0.117401,0.121566,"3,330","6,274,650" 220 | "Feb 11, 2017",0.125788,0.127159,0.122483,0.125607,743,"6,289,400" 221 | "Feb 10, 2017",0.127540,0.131710,0.117976,0.125761,"2,605","6,377,000" 222 | "Feb 09, 2017",0.129684,0.132791,0.118249,0.127476,"10,870","6,484,200" 223 | "Feb 08, 2017",0.133244,0.134031,0.121542,0.129568,"8,268","6,662,200" 224 | "Feb 07, 2017",0.126972,0.136817,0.126972,0.133135,"5,302","6,348,600" 225 | "Feb 06, 2017",0.131717,0.138723,0.125146,0.126788,"10,498","6,585,850" 226 | "Feb 05, 2017",0.135944,0.143104,0.128306,0.131582,"2,685","6,797,200" 227 | "Feb 04, 2017",0.134385,0.147454,0.132960,0.135867,"10,217","6,719,250" 228 | "Feb 03, 2017",0.145650,0.145650,0.132985,0.134264,"9,702","7,282,500" 229 | "Feb 02, 2017",0.147206,0.147974,0.134287,0.145699,"2,973","7,360,300" 230 | "Feb 01, 2017",0.147034,0.150287,0.140878,0.147218,"4,496","7,351,700" 231 | "Jan 31, 2017",0.153713,0.153791,0.144326,0.147016,"17,416","7,685,650" 232 | "Jan 30, 2017",0.141147,0.153760,0.140489,0.153760,"9,285","7,057,350" 233 | "Jan 29, 2017",0.138097,0.141860,0.132053,0.141204,"11,695","6,904,850" 234 | "Jan 28, 2017",0.130334,0.137387,0.125774,0.134674,"7,066","6,516,700" 235 | "Jan 27, 2017",0.129894,0.135296,0.128775,0.130343,"9,238","6,494,700" 236 | "Jan 26, 2017",0.124319,0.135711,0.120759,0.133612,"7,694","6,215,950" 237 | "Jan 25, 2017",0.120212,0.129256,0.115434,0.124216,"6,427","6,010,600" 238 | "Jan 24, 2017",0.128569,0.128569,0.113295,0.120213,"7,139","6,428,450" 239 | "Jan 23, 2017",0.114416,0.130461,0.111428,0.129948,"7,175","5,720,800" 240 | "Jan 22, 2017",0.116306,0.119379,0.109804,0.114313,"6,468","5,815,300" 241 | "Jan 21, 2017",0.117955,0.127853,0.114241,0.116309,"15,335","5,897,750" 242 | "Jan 20, 2017",0.116596,0.124276,0.111754,0.117809,"16,255","5,829,800" 243 | "Jan 19, 2017",0.123035,0.123948,0.116102,0.116619,"14,984","6,151,750" 244 | "Jan 18, 2017",0.116816,0.123035,0.115687,0.123035,"7,457","5,840,800" 245 | "Jan 17, 2017",0.119675,0.122525,0.114662,0.116638,"7,960","5,983,750" 246 | "Jan 16, 2017",0.123730,0.123958,0.118628,0.119649,"5,112","6,186,500" 247 | "Jan 15, 2017",0.122904,0.132022,0.117124,0.123732,"6,954","6,145,200" 248 | "Jan 14, 2017",0.121337,0.123940,0.116299,0.122939,"9,262","6,066,850" 249 | "Jan 13, 2017",0.124106,0.124342,0.113803,0.121321,"50,365","6,205,300" 250 | "Jan 12, 2017",0.115137,0.124128,0.109263,0.124122,"59,945","5,756,850" 251 | "Jan 11, 2017",0.133970,0.134950,0.112802,0.115138,"120,522","6,698,500" 252 | "Jan 10, 2017",0.123761,0.139550,0.123113,0.133864,"126,915","6,188,050" 253 | "Jan 09, 2017",0.132630,0.133670,0.117667,0.123767,"90,000","6,631,500" 254 | "Jan 08, 2017",0.128325,0.134773,0.127755,0.132609,"69,033","6,416,250" 255 | "Jan 07, 2017",0.135505,0.135759,0.125106,0.131104,"53,818","6,775,250" 256 | "Jan 06, 2017",0.131087,0.139018,0.131087,0.135472,"54,666","6,554,350" 257 | "Jan 05, 2017",0.136797,0.143977,0.126582,0.131070,"206,224","6,839,850" 258 | "Jan 04, 2017",0.140294,0.142834,0.134433,0.136734,"94,045","7,014,700" 259 | "Jan 03, 2017",0.145645,0.147282,0.139653,0.140422,"90,544","7,282,250" 260 | "Jan 02, 2017",0.141841,0.147746,0.141841,0.145642,"75,921","7,092,050" 261 | "Jan 01, 2017",0.144763,0.147274,0.139742,0.141841,"63,512","7,238,150" 262 | "Dec 31, 2016",0.147526,0.148837,0.142705,0.144763,"61,000","7,376,300" 263 | "Dec 30, 2016",0.143599,0.148070,0.136893,0.147527,"69,464","7,179,950" 264 | "Dec 29, 2016",0.150688,0.151915,0.140106,0.140950,"100,992","7,534,400" 265 | "Dec 28, 2016",0.158032,0.162041,0.145990,0.150689,"118,030","7,901,600" 266 | "Dec 27, 2016",0.166600,0.177395,0.153932,0.158032,"265,268","8,330,000" 267 | "Dec 26, 2016",0.146785,0.182563,0.141148,0.166597,"579,250","7,339,250" 268 | "Dec 25, 2016",0.144213,0.153788,0.141296,0.146788,"239,670","7,210,650" 269 | "Dec 24, 2016",0.139545,0.151804,0.136822,0.146916,"132,934","6,977,250" 270 | "Dec 23, 2016",0.155059,0.157925,0.131227,0.137593,"187,645","7,752,950" 271 | "Dec 22, 2016",0.166441,0.184986,0.147481,0.155065,"544,880","8,322,050" 272 | "Dec 21, 2016",0.120868,0.168983,0.118599,0.167117,"635,204","6,043,400" 273 | "Dec 20, 2016",0.121536,0.124127,0.115108,0.120868,"73,913","6,076,800" 274 | "Dec 19, 2016",0.115260,0.121812,0.106848,0.121387,"55,326","5,763,000" 275 | "Dec 18, 2016",0.105842,0.117273,0.101063,0.115260,"37,746","5,292,100" 276 | "Dec 17, 2016",0.114445,0.115568,0.101740,0.105842,"62,650","5,722,250" 277 | "Dec 16, 2016",0.109869,0.118707,0.109327,0.114432,"49,515","5,493,450" 278 | "Dec 15, 2016",0.121012,0.123902,0.109819,0.109837,"38,086","6,050,600" 279 | "Dec 14, 2016",0.127930,0.127930,0.120364,0.121008,"50,948","6,396,500" 280 | "Dec 13, 2016",0.133035,0.136888,0.125618,0.127959,"30,845","6,651,750" 281 | "Dec 12, 2016",0.122082,0.140238,0.122082,0.129977,"57,019","6,104,100" 282 | "Dec 11, 2016",0.125352,0.128221,0.120730,0.122134,"41,967","6,267,600" 283 | "Dec 10, 2016",0.130952,0.132206,0.124770,0.125328,"37,027","6,547,600" 284 | "Dec 09, 2016",0.134409,0.136923,0.129699,0.130070,"54,783","6,720,450" 285 | "Dec 08, 2016",0.137448,0.138971,0.134429,0.134429,"31,065","6,872,400" 286 | "Dec 07, 2016",0.136196,0.142794,0.134726,0.137450,"51,152","6,809,800" 287 | "Dec 06, 2016",0.138960,0.141810,0.135703,0.136097,"54,376","6,948,000" 288 | "Dec 05, 2016",0.147270,0.147270,0.138194,0.141459,"71,656","7,363,500" 289 | "Dec 04, 2016",0.142444,0.157052,0.142444,0.147170,"109,462","7,122,200" 290 | "Dec 03, 2016",0.141987,0.144054,0.136455,0.142444,"121,437","7,099,350" 291 | "Dec 02, 2016",0.140119,0.145737,0.138452,0.141991,"69,742","7,005,950" 292 | "Dec 01, 2016",0.144522,0.144846,0.138559,0.140114,"62,769","7,226,100" 293 | "Nov 30, 2016",0.149963,0.150848,0.140499,0.144636,"63,418","7,498,150" 294 | "Nov 29, 2016",0.167861,0.167909,0.141612,0.149953,"121,979","8,393,050" 295 | "Nov 28, 2016",0.173073,0.175046,0.166608,0.167994,"92,873","8,653,650" 296 | "Nov 27, 2016",0.174134,0.179557,0.173007,0.173050,"34,618","8,706,700" 297 | "Nov 26, 2016",0.174608,0.185637,0.173892,0.174141,"53,456","8,730,400" 298 | "Nov 25, 2016",0.171903,0.191663,0.171885,0.174514,"148,809","8,595,150" 299 | "Nov 24, 2016",0.167006,0.186579,0.165703,0.171955,"252,878","8,350,300" 300 | "Nov 23, 2016",0.168883,0.172495,0.166940,0.167085,"18,866","8,444,150" 301 | "Nov 22, 2016",0.173474,0.174220,0.167397,0.168892,"30,457","8,673,700" 302 | "Nov 21, 2016",0.171000,0.174966,0.169408,0.173476,"13,977","8,550,000" 303 | "Nov 20, 2016",0.169929,0.171309,0.161549,0.170999,"6,888","8,496,450" 304 | "Nov 19, 2016",0.172135,0.176490,0.168427,0.169928,"20,977","8,606,750" 305 | "Nov 18, 2016",0.173267,0.196769,0.169420,0.172177,"170,258","8,663,350" 306 | "Nov 17, 2016",0.162654,0.177109,0.162560,0.173280,"115,600","8,132,700" 307 | "Nov 16, 2016",0.173875,0.177754,0.153992,0.162529,"52,767","8,693,750" 308 | "Nov 15, 2016",0.183863,0.183864,0.172835,0.173875,"58,217","9,193,150" 309 | "Nov 14, 2016",0.170347,0.196291,0.168508,0.183786,"161,342","8,517,350" 310 | "Nov 13, 2016",0.168699,0.172853,0.163703,0.169917,"47,661","8,434,950" 311 | "Nov 12, 2016",0.172603,0.179612,0.166288,0.168695,"38,920","8,630,150" 312 | "Nov 11, 2016",0.168293,0.181036,0.165815,0.176226,"92,296","8,414,650" 313 | "Nov 10, 2016",0.159342,0.179854,0.154536,0.168272,"226,859","7,967,100" 314 | "Nov 09, 2016",0.161599,0.166946,0.156541,0.159859,"51,101","8,079,950" 315 | "Nov 08, 2016",0.173073,0.173376,0.160523,0.161594,"64,487","8,653,650" 316 | "Nov 07, 2016",0.163957,0.174019,0.143322,0.173087,"264,007","8,197,850" 317 | "Nov 06, 2016",0.160800,0.168170,0.156750,0.164002,"52,679","8,040,000" 318 | "Nov 05, 2016",0.175934,0.181375,0.156657,0.160797,"165,265","8,796,700" 319 | "Nov 04, 2016",0.173574,0.183584,0.168351,0.175917,"123,337","8,678,700" 320 | "Nov 03, 2016",0.197962,0.198170,0.155788,0.173534,"265,799","9,898,100" 321 | "Nov 02, 2016",0.214646,0.219169,0.191732,0.197941,"242,163","10,732,300" 322 | "Nov 01, 2016",0.228232,0.239149,0.204285,0.211322,"411,699","11,411,600" 323 | "Oct 31, 2016",0.181610,0.229291,0.177568,0.228251,"917,488","9,080,500" 324 | "Oct 30, 2016",0.172946,0.183820,0.170264,0.181026,"377,793","8,647,300" 325 | "Oct 29, 2016",0.151237,0.176248,0.151237,0.170166,"714,101","7,561,850" 326 | "Oct 28, 2016",0.127447,0.159842,0.123780,0.151552,"545,958","6,372,350" 327 | "Oct 27, 2016",0.129608,0.140409,0.124055,0.127426,"169,528","6,480,400" 328 | "Oct 26, 2016",0.135700,0.169630,0.121312,0.129615,"494,772","6,785,000" 329 | "Oct 25, 2016",0.093621,0.322439,0.092699,0.135712,"365,986",- 330 | "Oct 24, 2016",0.081000,0.100103,0.076476,0.093762,"522,611",- 331 | "Oct 23, 2016",0.081487,0.085211,0.076681,0.082726,"107,073",- 332 | "Oct 22, 2016",0.080197,0.096001,0.080013,0.081484,"293,121",- 333 | "Oct 21, 2016",0.092487,0.093918,0.072287,0.080181,"269,793",- 334 | "Oct 20, 2016",0.117083,0.117172,0.085342,0.092682,"286,750",- 335 | "Oct 19, 2016",0.197446,0.205554,0.111325,0.117084,"228,476",- 336 | "Oct 18, 2016",0.192736,0.289527,0.179325,0.197440,"406,917",- 337 | "Oct 17, 2016",0.175871,0.192747,0.175284,0.192747,"12,989",- 338 | "Oct 16, 2016",0.179883,0.190690,0.175885,0.175901,"16,019",- 339 | "Oct 15, 2016",0.191007,0.191007,0.179885,0.179885,596,- 340 | "Oct 14, 2016",0.185400,0.191090,0.176211,0.191014,"2,335",- 341 | "Oct 13, 2016",0.186072,0.186072,0.175498,0.185407,"1,318",- 342 | "Oct 12, 2016",0.193611,0.193611,0.175684,0.186052,"12,201",- 343 | "Oct 11, 2016",0.193114,0.195352,0.181615,0.193575,"5,949",- 344 | "Oct 10, 2016",0.186466,0.202517,0.180081,0.193108,"11,204",- 345 | "Oct 09, 2016",0.205045,0.205045,0.178857,0.186541,"30,052",- 346 | "Oct 08, 2016",0.202812,0.223037,0.185864,0.205229,"31,830",- 347 | "Oct 07, 2016",0.179898,0.202840,0.179898,0.202840,"5,785",- 348 | "Oct 06, 2016",0.289361,0.291334,0.180059,0.180059,"2,612",- 349 | "Oct 05, 2016",0.185765,0.289548,0.179917,0.289392,"1,864",- 350 | "Oct 04, 2016",0.178659,0.185843,0.178659,0.185843,506,- 351 | "Oct 03, 2016",0.177613,0.192425,0.177613,0.178713,913,- 352 | "Oct 02, 2016",0.202302,0.202303,0.177092,0.177279,"4,178",- 353 | "Oct 01, 2016",0.184979,0.216455,0.184979,0.202293,"2,748",- 354 | "Sep 30, 2016",0.191685,0.194601,0.180176,0.184939,"2,032",- 355 | "Sep 29, 2016",0.194845,0.208155,0.175516,0.191738,"11,050",- 356 | "Sep 28, 2016",0.197915,0.212750,0.184495,0.194798,"6,354",- 357 | "Sep 27, 2016",0.202473,0.202473,0.179976,0.197913,"19,806",- 358 | "Sep 26, 2016",0.199118,0.224506,0.193879,0.202491,"9,657",- 359 | "Sep 25, 2016",0.213843,0.224547,0.192797,0.198994,"3,075",- 360 | "Sep 24, 2016",0.243321,0.254850,0.213843,0.213843,"21,740",- 361 | "Sep 23, 2016",0.252745,0.277371,0.241462,0.243237,"16,845",- 362 | "Sep 22, 2016",0.303806,0.308768,0.252592,0.252723,"54,002",- 363 | "Sep 21, 2016",0.312539,0.318675,0.303564,0.303794,156,- 364 | "Sep 20, 2016",0.331291,0.336507,0.309502,0.312621,"1,171",- 365 | "Sep 19, 2016",0.384877,0.384881,0.331207,0.331296,"1,448",- 366 | "Sep 18, 2016",0.426591,0.427137,0.384916,0.384916,"105,159",- 367 | "Sep 17, 2016",0.388924,0.427314,0.388896,0.426568,"21,060",- 368 | "Sep 16, 2016",0.349726,0.389464,0.348948,0.388858,"15,105",- 369 | "Sep 15, 2016",0.325188,0.365124,0.325024,0.349832,"1,982",- 370 | "Sep 14, 2016",0.309516,0.337779,0.306223,0.325127,"4,129",- 371 | "Sep 13, 2016",0.374469,0.375092,0.301766,0.309509,"3,337",- 372 | "Sep 12, 2016",0.376312,0.376671,0.360443,0.374598,"1,116",- 373 | "Sep 11, 2016",0.390948,0.398459,0.372790,0.376150,879,- 374 | "Sep 10, 2016",0.558536,0.559143,0.370960,0.391001,811,- 375 | "Sep 09, 2016",0.181483,0.558951,0.181357,0.558478,"1,349",- 376 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/numeraire_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",15.52,16.81,14.72,16.59,"74,804","19,409,800" 3 | "Sep 16, 2017",17.03,17.03,14.92,15.54,"106,754","21,290,500" 4 | "Sep 15, 2017",13.53,17.18,12.28,17.07,"229,961","16,919,700" 5 | "Sep 14, 2017",17.15,17.49,13.43,13.43,"208,388","21,435,700" 6 | "Sep 13, 2017",18.93,18.93,15.94,17.12,"311,553","23,673,000" 7 | "Sep 12, 2017",19.24,20.09,17.44,19.09,"398,928","24,063,900" 8 | "Sep 11, 2017",21.48,21.48,18.04,18.98,"335,702","26,868,700" 9 | "Sep 10, 2017",23.04,27.28,19.26,21.24,"1,448,320","28,821,700" 10 | "Sep 09, 2017",19.17,25.34,17.42,22.97,"1,345,530","23,977,600" 11 | "Sep 08, 2017",21.53,23.25,18.28,19.13,"305,855","26,935,100" 12 | "Sep 07, 2017",22.34,23.16,20.41,21.53,"262,532","27,947,600" 13 | "Sep 06, 2017",21.64,26.31,20.75,22.38,"473,273","27,076,900" 14 | "Sep 05, 2017",20.87,23.62,18.91,21.53,"349,885","26,115,800" 15 | "Sep 04, 2017",26.91,27.34,17.99,20.74,"716,231","33,673,500" 16 | "Sep 03, 2017",27.70,29.36,24.99,26.90,"493,926","34,662,300" 17 | "Sep 02, 2017",32.49,33.01,26.79,27.24,"633,861","40,658,600" 18 | "Sep 01, 2017",35.67,35.90,31.35,32.45,"1,024,920","44,636,600" 19 | "Aug 31, 2017",35.78,36.60,34.27,35.62,"452,411","44,776,600" 20 | "Aug 30, 2017",34.89,38.40,34.61,35.84,"549,569","43,694,000" 21 | "Aug 29, 2017",36.12,36.84,34.43,34.92,"489,247","45,236,000" 22 | "Aug 28, 2017",35.56,36.20,34.11,36.07,"402,594","44,537,800" 23 | "Aug 27, 2017",35.16,36.33,34.05,35.53,"372,296","44,033,500" 24 | "Aug 26, 2017",35.31,37.01,33.54,34.93,"363,769","44,220,200" 25 | "Aug 25, 2017",35.51,37.67,32.94,35.24,"845,188","44,468,400" 26 | "Aug 24, 2017",35.60,37.29,34.84,35.39,"466,415","44,577,800" 27 | "Aug 23, 2017",35.53,38.34,34.85,36.49,"443,443","44,506,600" 28 | "Aug 22, 2017",34.75,37.23,31.91,35.61,"561,611","43,526,300" 29 | "Aug 21, 2017",42.41,48.73,33.48,34.58,"2,145,180","53,121,100" 30 | "Aug 20, 2017",34.73,43.36,32.52,42.53,"1,894,140","43,499,200" 31 | "Aug 19, 2017",35.56,37.01,31.60,34.84,"582,704","44,542,600" 32 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/omisego_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",9.90,10.31,8.98,9.87,"40,154,600","973,696,000" 3 | "Sep 16, 2017",9.96,10.65,9.34,9.93,"66,155,100","979,204,000" 4 | "Sep 15, 2017",8.13,10.39,6.57,9.95,"156,528,000","798,813,000" 5 | "Sep 14, 2017",10.58,11.06,7.67,8.08,"95,558,500","1,040,220,000" 6 | "Sep 13, 2017",11.68,11.70,9.55,10.61,"85,896,500","1,148,450,000" 7 | "Sep 12, 2017",11.37,13.45,11.21,11.59,"130,591,000","1,117,370,000" 8 | "Sep 11, 2017",11.42,11.98,11.09,11.33,"37,733,800","1,122,960,000" 9 | "Sep 10, 2017",12.29,12.29,10.76,11.40,"53,265,800","1,207,860,000" 10 | "Sep 09, 2017",11.38,12.22,10.88,12.22,"63,245,300","1,118,990,000" 11 | "Sep 08, 2017",12.91,13.39,10.66,11.45,"99,091,800","1,268,790,000" 12 | "Sep 07, 2017",11.65,13.53,10.77,12.87,"153,192,000","1,145,440,000" 13 | "Sep 06, 2017",10.96,11.79,10.49,11.64,"95,001,000","1,077,300,000" 14 | "Sep 05, 2017",8.68,11.28,7.60,10.98,"111,430,000","852,870,000" 15 | "Sep 04, 2017",10.55,10.55,7.31,8.78,"159,979,000","1,037,440,000" 16 | "Sep 03, 2017",10.79,11.37,9.64,10.57,"68,616,800","1,060,760,000" 17 | "Sep 02, 2017",11.99,11.99,9.96,10.80,"93,561,000","1,178,610,000" 18 | "Sep 01, 2017",11.73,12.52,11.63,11.97,"91,962,400","1,153,390,000" 19 | "Aug 31, 2017",11.17,12.08,10.78,11.74,"89,710,200","1,098,470,000" 20 | "Aug 30, 2017",9.49,11.67,9.30,11.07,"194,613,000","932,958,000" 21 | "Aug 29, 2017",8.58,9.62,8.45,9.46,"86,155,000","843,249,000" 22 | "Aug 28, 2017",8.33,8.93,8.15,8.59,"52,390,300","819,005,000" 23 | "Aug 27, 2017",8.29,8.37,8.03,8.33,"22,915,000","815,412,000" 24 | "Aug 26, 2017",8.26,8.33,7.85,8.28,"25,661,900","812,289,000" 25 | "Aug 25, 2017",8.38,8.46,8.04,8.27,"24,205,300","823,620,000" 26 | "Aug 24, 2017",8.20,8.39,7.97,8.37,"31,284,200","806,267,000" 27 | "Aug 23, 2017",7.61,8.66,7.58,8.24,"64,455,600","748,515,000" 28 | "Aug 22, 2017",7.67,7.76,6.96,7.62,"41,423,400","753,880,000" 29 | "Aug 21, 2017",8.45,8.60,7.34,7.67,"71,569,400","830,536,000" 30 | "Aug 20, 2017",7.76,8.84,7.17,8.44,"74,687,700","762,542,000" 31 | "Aug 19, 2017",7.31,7.93,6.42,7.80,"70,997,400","718,510,000" 32 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/qtum_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",8.19,8.79,7.59,8.27,"69,847,200","482,927,000" 3 | "Sep 16, 2017",8.49,8.97,7.44,8.25,"97,992,200","500,809,000" 4 | "Sep 15, 2017",7.72,9.31,5.91,8.47,"242,984,000","455,212,000" 5 | "Sep 14, 2017",11.94,12.18,7.60,7.60,"137,040,000","704,415,000" 6 | "Sep 13, 2017",13.45,13.53,11.60,11.94,"185,348,000","793,825,000" 7 | "Sep 12, 2017",14.38,15.31,12.86,13.51,"156,187,000","848,364,000" 8 | "Sep 11, 2017",12.64,14.79,12.55,14.28,"165,283,000","745,787,000" 9 | "Sep 10, 2017",13.27,13.34,11.38,12.78,"172,687,000","783,150,000" 10 | "Sep 09, 2017",13.40,13.63,12.46,13.32,"99,008,100","790,322,000" 11 | "Sep 08, 2017",14.74,16.07,12.44,13.50,"294,169,000","869,878,000" 12 | "Sep 07, 2017",11.40,14.77,10.69,14.74,"195,986,000","672,888,000" 13 | "Sep 06, 2017",11.73,12.49,10.34,11.40,"141,347,000","691,921,000" 14 | "Sep 05, 2017",11.07,12.07,8.77,11.71,"218,917,000","653,177,000" 15 | "Sep 04, 2017",15.29,15.44,10.22,10.98,"161,203,000","902,407,000" 16 | "Sep 03, 2017",16.41,16.74,14.19,15.29,"98,105,400","967,971,000" 17 | "Sep 02, 2017",18.26,19.06,15.51,16.39,"123,479,000","1,077,370,000" 18 | "Sep 01, 2017",17.30,18.47,16.94,18.26,"73,618,500","1,020,980,000" 19 | "Aug 31, 2017",16.72,18.08,16.69,17.30,"76,872,500","986,295,000" 20 | "Aug 30, 2017",19.05,19.05,14.58,16.84,"145,512,000","1,124,200,000" 21 | "Aug 29, 2017",16.28,20.04,16.28,19.15,"216,784,000","960,486,000" 22 | "Aug 28, 2017",15.66,16.35,14.86,16.24,"82,850,200","923,722,000" 23 | "Aug 27, 2017",15.42,15.86,14.74,15.70,"56,474,400","909,788,000" 24 | "Aug 26, 2017",13.26,15.89,12.97,15.41,"88,172,500","782,374,000" 25 | "Aug 25, 2017",13.75,13.85,12.85,13.32,"26,327,100","811,035,000" 26 | "Aug 24, 2017",11.87,14.13,11.64,13.78,"72,955,500","700,167,000" 27 | "Aug 23, 2017",11.05,12.47,11.04,11.90,"36,722,000","651,839,000" 28 | "Aug 22, 2017",11.20,11.41,10.17,11.06,"25,086,300","660,585,000" 29 | "Aug 21, 2017",11.80,11.87,10.82,11.23,"29,380,800","696,434,000" 30 | "Aug 20, 2017",11.54,12.35,10.82,11.79,"40,638,800","680,885,000" 31 | "Aug 19, 2017",11.62,12.36,9.69,11.64,"54,327,300","685,316,000" 32 | -------------------------------------------------------------------------------- /cryptocurrencypricehistory/stratis_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Sep 17, 2017",4.39,4.66,4.05,4.44,"3,432,560","432,583,000" 3 | "Sep 16, 2017",4.61,4.81,4.17,4.39,"4,687,280","454,539,000" 4 | "Sep 15, 2017",3.80,4.67,3.04,4.62,"8,004,530","374,266,000" 5 | "Sep 14, 2017",5.01,5.08,3.75,3.78,"6,121,560","494,028,000" 6 | "Sep 13, 2017",5.51,5.53,4.56,5.01,"6,572,450","543,119,000" 7 | "Sep 12, 2017",5.62,5.88,5.31,5.53,"8,270,520","553,334,000" 8 | "Sep 11, 2017",5.86,6.09,5.52,5.60,"5,037,870","577,080,000" 9 | "Sep 10, 2017",5.73,6.04,5.35,5.86,"8,637,120","564,937,000" 10 | "Sep 09, 2017",5.72,5.79,5.50,5.76,"3,496,720","563,845,000" 11 | "Sep 08, 2017",6.16,6.41,5.37,5.71,"8,651,120","607,162,000" 12 | "Sep 07, 2017",6.20,6.25,5.86,6.17,"6,362,780","611,117,000" 13 | "Sep 06, 2017",6.07,6.57,5.98,6.22,"5,768,010","597,983,000" 14 | "Sep 05, 2017",5.79,6.23,5.11,6.03,"8,514,110","570,643,000" 15 | "Sep 04, 2017",6.61,6.74,5.35,5.77,"14,669,700","651,334,000" 16 | "Sep 03, 2017",6.36,6.59,5.99,6.59,"8,487,740","626,826,000" 17 | "Sep 02, 2017",7.27,7.27,6.18,6.34,"11,500,400","716,038,000" 18 | "Sep 01, 2017",7.28,7.78,6.97,7.25,"22,610,800","717,199,000" 19 | "Aug 31, 2017",7.27,7.63,7.11,7.28,"15,100,200","716,572,000" 20 | "Aug 30, 2017",6.84,7.35,6.72,7.33,"12,604,000","674,382,000" 21 | "Aug 29, 2017",7.27,7.29,6.49,6.96,"18,303,600","715,769,000" 22 | "Aug 28, 2017",6.93,7.58,6.62,7.24,"19,477,300","683,032,000" 23 | "Aug 27, 2017",6.30,7.63,6.29,6.97,"24,137,600","620,679,000" 24 | "Aug 26, 2017",6.04,6.40,5.89,6.30,"13,291,900","594,785,000" 25 | "Aug 25, 2017",6.03,6.16,5.79,6.06,"13,223,700","593,706,000" 26 | "Aug 24, 2017",5.93,6.41,5.90,6.00,"14,075,900","583,904,000" 27 | "Aug 23, 2017",5.67,6.93,5.55,5.88,"35,363,700","558,913,000" 28 | "Aug 22, 2017",5.42,5.68,4.79,5.68,"11,947,300","533,582,000" 29 | "Aug 21, 2017",5.72,5.78,5.27,5.47,"14,688,000","563,415,000" 30 | "Aug 20, 2017",5.66,5.96,5.43,5.73,"13,936,500","557,626,000" 31 | "Aug 19, 2017",5.61,5.67,4.87,5.66,"17,616,500","552,835,000" 32 | "Aug 18, 2017",6.12,6.19,5.36,5.62,"15,643,400","602,570,000" 33 | "Aug 17, 2017",6.10,6.52,5.83,6.15,"18,775,000","600,694,000" 34 | "Aug 16, 2017",6.13,6.62,5.97,6.05,"19,390,300","603,644,000" 35 | "Aug 15, 2017",6.06,7.05,5.64,6.09,"29,168,700","596,646,000" 36 | "Aug 14, 2017",6.53,6.81,5.47,6.05,"25,360,200","643,558,000" 37 | "Aug 13, 2017",6.73,7.38,6.21,6.52,"24,769,900","662,468,000" 38 | "Aug 12, 2017",7.61,7.83,6.49,6.79,"25,362,400","750,072,000" 39 | "Aug 11, 2017",8.07,8.25,7.45,7.58,"24,356,200","794,844,000" 40 | "Aug 10, 2017",7.49,8.87,7.20,7.91,"39,078,900","737,685,000" 41 | "Aug 09, 2017",7.84,7.93,7.33,7.53,"15,452,600","771,777,000" 42 | "Aug 08, 2017",7.63,8.34,7.45,7.87,"21,843,100","751,997,000" 43 | "Aug 07, 2017",6.75,7.71,6.56,7.62,"19,820,000","664,642,000" 44 | "Aug 06, 2017",7.13,7.42,6.68,6.72,"12,383,900","701,954,000" 45 | "Aug 05, 2017",6.60,7.49,6.58,7.12,"22,170,600","650,402,000" 46 | "Aug 04, 2017",6.04,6.62,5.86,6.61,"13,083,500","595,242,000" 47 | "Aug 03, 2017",5.61,6.08,5.53,6.04,"9,794,660","552,183,000" 48 | "Aug 02, 2017",5.91,6.00,5.40,5.57,"9,212,420","582,364,000" 49 | "Aug 01, 2017",5.02,5.98,4.94,5.92,"12,038,300","494,159,000" 50 | "Jul 31, 2017",4.84,5.13,4.66,5.00,"8,754,770","476,325,000" 51 | "Jul 30, 2017",5.20,5.20,4.75,4.85,"8,457,590","511,780,000" 52 | "Jul 29, 2017",4.59,5.22,4.40,5.22,"11,185,800","451,636,000" 53 | "Jul 28, 2017",5.00,5.04,4.33,4.61,"15,690,500","491,910,000" 54 | "Jul 27, 2017",5.11,5.34,4.74,4.97,"10,071,100","503,595,000" 55 | "Jul 26, 2017",4.83,5.37,4.57,5.06,"12,565,800","475,864,000" 56 | "Jul 25, 2017",5.76,5.92,4.31,4.82,"20,657,700","567,608,000" 57 | "Jul 24, 2017",6.16,6.35,5.65,5.77,"10,593,700","607,093,000" 58 | "Jul 23, 2017",6.80,6.96,5.94,6.17,"12,522,100","669,425,000" 59 | "Jul 22, 2017",6.28,7.15,6.25,6.78,"20,602,100","618,085,000" 60 | "Jul 21, 2017",5.39,6.27,5.22,6.22,"18,578,500","530,496,000" 61 | "Jul 20, 2017",3.87,5.38,3.87,5.38,"11,643,300","380,850,000" 62 | "Jul 19, 2017",4.22,4.63,3.82,3.85,"8,872,790","415,559,000" 63 | "Jul 18, 2017",3.90,4.80,3.59,4.18,"15,771,000","383,676,000" 64 | "Jul 17, 2017",2.87,3.90,2.86,3.88,"8,947,560","282,410,000" 65 | "Jul 16, 2017",3.15,3.26,2.50,2.88,"5,474,900","310,564,000" 66 | "Jul 15, 2017",3.29,3.29,2.87,3.19,"5,250,730","324,366,000" 67 | "Jul 14, 2017",3.66,3.66,2.99,3.29,"9,898,950","360,072,000" 68 | "Jul 13, 2017",4.35,4.37,3.42,3.68,"13,810,600","428,182,000" 69 | "Jul 12, 2017",2.97,4.35,2.66,4.35,"18,375,700","292,008,000" 70 | "Jul 11, 2017",3.06,3.53,2.34,2.98,"23,622,700","301,381,000" 71 | "Jul 10, 2017",4.24,4.32,2.67,3.04,"19,098,300","417,352,000" 72 | "Jul 09, 2017",4.97,5.19,4.28,4.28,"4,576,640","489,388,000" 73 | "Jul 08, 2017",4.93,4.95,4.32,4.95,"9,638,480","485,542,000" 74 | "Jul 07, 2017",6.21,6.25,4.82,4.92,"9,364,820","611,878,000" 75 | "Jul 06, 2017",5.99,6.29,5.84,6.22,"7,169,490","589,414,000" 76 | "Jul 05, 2017",6.31,6.32,5.83,5.99,"5,158,460","621,293,000" 77 | "Jul 04, 2017",5.97,6.54,5.94,6.32,"6,141,920","587,765,000" 78 | "Jul 03, 2017",5.82,6.05,5.63,5.95,"5,280,130","573,245,000" 79 | "Jul 02, 2017",5.59,6.04,5.28,5.88,"5,537,910","550,593,000" 80 | "Jul 01, 2017",6.29,6.40,5.54,5.55,"4,750,540","618,999,000" 81 | "Jun 30, 2017",6.58,6.78,6.22,6.30,"4,946,910","648,016,000" 82 | "Jun 29, 2017",6.97,7.02,6.17,6.59,"6,378,180","685,773,000" 83 | "Jun 28, 2017",6.71,7.26,6.22,6.97,"6,790,860","660,817,000" 84 | "Jun 27, 2017",6.62,6.85,5.40,6.68,"8,249,570","651,371,000" 85 | "Jun 26, 2017",7.10,7.23,5.32,6.36,"9,864,730","698,652,000" 86 | "Jun 25, 2017",7.67,7.68,6.66,7.08,"5,651,070","754,894,000" 87 | "Jun 24, 2017",8.41,8.56,7.47,7.69,"9,579,230","828,315,000" 88 | "Jun 23, 2017",7.14,8.49,6.90,8.35,"8,762,870","702,458,000" 89 | "Jun 22, 2017",6.99,7.27,6.85,7.12,"6,066,790","687,720,000" 90 | "Jun 21, 2017",7.07,7.67,6.64,6.98,"13,564,400","695,668,000" 91 | "Jun 20, 2017",7.72,7.84,6.86,7.03,"13,751,300","759,460,000" 92 | "Jun 19, 2017",7.45,8.18,7.30,7.70,"14,198,200","733,745,000" 93 | "Jun 18, 2017",7.76,7.85,7.31,7.42,"7,625,120","763,324,000" 94 | "Jun 17, 2017",7.97,7.97,7.63,7.76,"8,056,000","784,488,000" 95 | "Jun 16, 2017",7.97,8.20,7.51,8.09,"10,005,000","784,397,000" 96 | "Jun 15, 2017",8.09,8.40,6.58,7.96,"11,399,100","796,567,000" 97 | "Jun 14, 2017",9.38,10.08,7.64,8.07,"18,743,800","922,947,000" 98 | "Jun 13, 2017",7.40,9.55,7.40,9.46,"24,455,300","727,868,000" 99 | "Jun 12, 2017",8.64,9.61,6.98,7.49,"19,884,300","850,720,000" 100 | "Jun 11, 2017",7.00,9.61,6.46,8.70,"40,501,000","688,678,000" 101 | "Jun 10, 2017",8.60,8.83,6.97,7.11,"37,558,500","846,058,000" 102 | "Jun 09, 2017",9.33,10.54,8.54,8.60,"25,801,700","917,966,000" 103 | "Jun 08, 2017",9.47,9.76,8.89,9.36,"17,328,100","931,815,000" 104 | "Jun 07, 2017",10.45,11.13,8.94,9.39,"22,802,600","1,028,700,000" 105 | "Jun 06, 2017",10.48,11.10,9.87,10.62,"24,926,500","1,031,430,000" 106 | "Jun 05, 2017",10.56,11.26,10.03,10.40,"29,752,700","1,039,320,000" 107 | "Jun 04, 2017",9.02,10.85,8.13,10.48,"40,558,300","887,171,000" 108 | "Jun 03, 2017",8.62,11.68,8.61,9.30,"76,687,700","848,350,000" 109 | "Jun 02, 2017",6.00,9.21,5.85,8.68,"61,652,500","590,322,000" 110 | "Jun 01, 2017",5.20,6.12,5.04,6.00,"17,263,800","511,918,000" 111 | "May 31, 2017",6.00,6.39,4.93,5.09,"38,378,600","590,175,000" 112 | "May 30, 2017",3.80,5.99,3.76,5.87,"29,487,300","374,312,000" 113 | "May 29, 2017",3.12,4.02,3.12,3.76,"12,998,700","306,525,000" 114 | "May 28, 2017",2.68,3.21,2.65,3.12,"4,152,120","263,636,000" 115 | "May 27, 2017",3.06,3.17,1.97,2.68,"5,332,510","300,653,000" 116 | "May 26, 2017",2.67,3.43,2.59,3.03,"6,004,290","262,417,000" 117 | "May 25, 2017",3.06,3.50,2.65,2.67,"4,621,460","301,142,000" 118 | "May 24, 2017",3.05,3.43,2.85,3.00,"11,021,500","300,580,000" 119 | "May 23, 2017",1.96,3.24,1.96,2.99,"8,526,840","193,213,000" 120 | "May 22, 2017",2.10,2.10,1.88,1.95,"3,365,370","206,311,000" 121 | "May 21, 2017",2.01,2.15,1.87,2.11,"5,030,270","198,012,000" 122 | "May 20, 2017",1.66,2.01,1.62,2.01,"4,183,780","163,356,000" 123 | "May 19, 2017",1.42,1.75,1.38,1.66,"5,798,680","139,905,000" 124 | "May 18, 2017",1.27,1.42,1.24,1.41,"2,850,560","124,689,000" 125 | "May 17, 2017",1.23,1.30,1.19,1.26,"1,739,460","121,279,000" 126 | "May 16, 2017",1.20,1.26,1.15,1.24,"1,680,650","118,259,000" 127 | "May 15, 2017",1.28,1.28,1.18,1.20,"836,058","125,557,000" 128 | "May 14, 2017",1.25,1.32,1.24,1.28,"981,516","122,761,000" 129 | "May 13, 2017",1.25,1.29,1.18,1.25,"857,911","122,735,000" 130 | "May 12, 2017",1.32,1.37,1.23,1.26,"1,778,790","129,648,000" 131 | "May 11, 2017",1.26,1.38,1.23,1.32,"1,734,260","124,139,000" 132 | "May 10, 2017",1.13,1.37,1.12,1.26,"3,290,310","110,803,000" 133 | "May 09, 2017",1.17,1.22,0.968627,1.13,"2,338,300","115,221,000" 134 | "May 08, 2017",1.18,1.22,1.10,1.18,"2,535,400","116,185,000" 135 | "May 07, 2017",1.21,1.24,1.08,1.18,"2,653,790","118,866,000" 136 | "May 06, 2017",1.20,1.26,1.16,1.20,"1,746,380","118,496,000" 137 | "May 05, 2017",1.17,1.34,1.14,1.20,"4,847,450","114,630,000" 138 | "May 04, 2017",1.05,1.16,0.966136,1.16,"3,190,040","102,814,000" 139 | "May 03, 2017",0.817930,1.06,0.767240,1.04,"6,462,660","80,459,200" 140 | "May 02, 2017",0.747138,0.820590,0.722066,0.812072,"1,425,740","73,494,400" 141 | "May 01, 2017",0.737883,0.812804,0.708030,0.747317,"2,046,520","72,583,100" 142 | "Apr 30, 2017",0.732707,0.765318,0.706671,0.732536,"1,610,270","72,073,000" 143 | "Apr 29, 2017",0.684901,0.729943,0.646585,0.729943,"1,296,150","67,369,700" 144 | "Apr 28, 2017",0.617785,0.705423,0.605542,0.683122,"1,383,590","60,767,100" 145 | "Apr 27, 2017",0.638074,0.643248,0.582553,0.619860,"1,012,360","62,761,900" 146 | "Apr 26, 2017",0.595260,0.658377,0.585844,0.637600,"1,092,190","58,549,900" 147 | "Apr 25, 2017",0.633718,0.635376,0.574855,0.590839,"1,074,350","62,331,800" 148 | "Apr 24, 2017",0.587854,0.635381,0.579851,0.634239,"845,139","57,819,900" 149 | "Apr 23, 2017",0.638919,0.642939,0.585091,0.585091,"1,066,710","62,841,800" 150 | "Apr 22, 2017",0.664770,0.678386,0.581039,0.633149,"1,176,330","65,383,500" 151 | "Apr 21, 2017",0.669078,0.698216,0.648271,0.660851,"618,058","65,806,400" 152 | "Apr 20, 2017",0.681851,0.701159,0.607216,0.667942,"1,873,680","67,061,700" 153 | "Apr 19, 2017",0.700320,0.757260,0.665934,0.681415,"2,528,750","68,877,300" 154 | "Apr 18, 2017",0.673516,0.700032,0.660830,0.700032,"1,093,750","66,240,200" 155 | "Apr 17, 2017",0.675905,0.691317,0.631967,0.669994,"1,489,060","66,474,300" 156 | "Apr 16, 2017",0.677898,0.740796,0.646971,0.676857,"3,328,550","66,669,500" 157 | "Apr 15, 2017",0.608430,0.750817,0.591067,0.678061,"5,749,910","59,836,700" 158 | "Apr 14, 2017",0.538327,0.626694,0.514536,0.610367,"4,448,330","52,941,600" 159 | "Apr 13, 2017",0.420286,0.549180,0.399227,0.542483,"2,461,110","41,332,400" 160 | "Apr 12, 2017",0.417345,0.424775,0.403570,0.419679,"414,260","41,042,600" 161 | "Apr 11, 2017",0.423156,0.433431,0.403996,0.413370,"472,155","41,613,500" 162 | "Apr 10, 2017",0.422399,0.429549,0.374214,0.422815,"1,056,040","41,538,600" 163 | "Apr 09, 2017",0.449177,0.462887,0.418681,0.421928,"719,470","44,171,300" 164 | "Apr 08, 2017",0.451717,0.488530,0.414665,0.448099,"1,693,160","44,420,500" 165 | "Apr 07, 2017",0.451101,0.473411,0.375788,0.427865,"1,889,010","44,359,400" 166 | "Apr 06, 2017",0.419843,0.508891,0.394881,0.452586,"3,144,410","41,285,000" 167 | "Apr 05, 2017",0.388421,0.545997,0.380617,0.416731,"7,752,760","38,194,700" 168 | "Apr 04, 2017",0.357205,0.401183,0.315558,0.385750,"3,027,180","35,124,600" 169 | "Apr 03, 2017",0.275118,0.350436,0.264378,0.341476,"1,166,730","27,052,500" 170 | "Apr 02, 2017",0.252570,0.306730,0.252570,0.276256,"1,886,380","24,835,000" 171 | "Apr 01, 2017",0.199113,0.263652,0.197635,0.246560,"889,150","19,578,400" 172 | "Mar 31, 2017",0.198267,0.207285,0.184126,0.198193,"550,593","19,494,900" 173 | "Mar 30, 2017",0.201440,0.214291,0.186298,0.198118,"474,000","19,806,700" 174 | "Mar 29, 2017",0.179581,0.215974,0.176996,0.203608,"546,849","17,657,100" 175 | "Mar 28, 2017",0.173483,0.191233,0.163761,0.179755,"453,196","17,057,300" 176 | "Mar 27, 2017",0.188156,0.223377,0.168133,0.173743,"1,681,390","18,499,800" 177 | "Mar 26, 2017",0.132338,0.196220,0.132333,0.187084,"1,729,470","13,011,500" 178 | "Mar 25, 2017",0.114690,0.135959,0.112906,0.131945,"345,479","11,276,200" 179 | "Mar 24, 2017",0.131431,0.132655,0.114056,0.114551,"217,068","12,922,000" 180 | "Mar 23, 2017",0.136738,0.138148,0.124152,0.131460,"188,451","13,443,600" 181 | "Mar 22, 2017",0.137352,0.140759,0.115191,0.135158,"366,482","13,503,800" 182 | "Mar 21, 2017",0.126506,0.152415,0.123074,0.137328,"776,284","12,437,300" 183 | "Mar 20, 2017",0.111680,0.130109,0.106935,0.125509,"463,863","10,979,500" 184 | "Mar 19, 2017",0.094221,0.113646,0.090427,0.109800,"312,382","9,263,000" 185 | "Mar 18, 2017",0.101376,0.119749,0.092855,0.094750,"537,637","9,966,270" 186 | "Mar 17, 2017",0.090895,0.107788,0.085303,0.098099,"344,795","8,935,720" 187 | "Mar 16, 2017",0.096028,0.096176,0.086168,0.091484,"154,328","9,440,240" 188 | "Mar 15, 2017",0.099810,0.102132,0.093540,0.095897,"102,472","9,811,920" 189 | "Mar 14, 2017",0.102961,0.105543,0.094243,0.100155,"167,912","10,121,600" 190 | "Mar 13, 2017",0.095199,0.109308,0.091849,0.102315,"289,622","9,358,400" 191 | "Mar 12, 2017",0.082076,0.097836,0.081350,0.092499,"200,131","8,068,250" 192 | "Mar 11, 2017",0.078860,0.088702,0.078860,0.082104,"145,609","7,752,020" 193 | "Mar 10, 2017",0.080935,0.083057,0.073336,0.078365,"136,005","7,955,930" 194 | "Mar 09, 2017",0.078446,0.082267,0.075406,0.080876,"46,051","7,711,140" 195 | "Mar 08, 2017",0.086338,0.089610,0.077563,0.077563,"62,746","8,486,820" 196 | "Mar 07, 2017",0.093447,0.094208,0.084701,0.086668,"103,288","9,185,420" 197 | "Mar 06, 2017",0.097186,0.098573,0.092981,0.093419,"47,575","9,552,870" 198 | "Mar 05, 2017",0.095322,0.099697,0.095069,0.097159,"35,312","9,369,480" 199 | "Mar 04, 2017",0.099793,0.102936,0.093707,0.095387,"65,177","9,808,840" 200 | "Mar 03, 2017",0.099143,0.108012,0.093349,0.099876,"345,930","9,744,840" 201 | "Mar 02, 2017",0.085495,0.102121,0.083405,0.098469,"271,066","8,403,250" 202 | "Mar 01, 2017",0.077824,0.089359,0.076961,0.085343,"132,673","7,649,170" 203 | "Feb 28, 2017",0.078321,0.080205,0.074682,0.077818,"33,822","7,697,870" 204 | "Feb 27, 2017",0.081441,0.081800,0.077976,0.078784,"29,629","8,004,480" 205 | "Feb 26, 2017",0.081604,0.086766,0.076960,0.081541,"89,013","8,020,400" 206 | "Feb 25, 2017",0.075336,0.083010,0.075069,0.081161,"75,347","7,404,260" 207 | "Feb 24, 2017",0.078483,0.079971,0.071332,0.075547,"68,828","7,713,450" 208 | "Feb 23, 2017",0.077133,0.081645,0.076524,0.077983,"55,835","7,580,700" 209 | "Feb 22, 2017",0.079113,0.083434,0.077122,0.077146,"68,715","7,775,160" 210 | "Feb 21, 2017",0.077732,0.081409,0.075002,0.079149,"59,798","7,639,330" 211 | "Feb 20, 2017",0.078213,0.082518,0.078129,0.078187,"69,816","7,686,470" 212 | "Feb 19, 2017",0.075533,0.080745,0.074140,0.078151,"40,602","7,423,040" 213 | "Feb 18, 2017",0.081910,0.083076,0.072867,0.075397,"122,520","8,049,640" 214 | "Feb 17, 2017",0.082282,0.087892,0.081255,0.082092,"63,601","8,086,080" 215 | "Feb 16, 2017",0.086028,0.088020,0.080301,0.082273,"93,627","8,454,090" 216 | "Feb 15, 2017",0.077357,0.088790,0.076366,0.087122,"131,445","7,601,910" 217 | "Feb 14, 2017",0.077011,0.078666,0.073148,0.077312,"142,798","7,567,750" 218 | "Feb 13, 2017",0.081615,0.082192,0.076960,0.076966,"77,826","8,020,140" 219 | "Feb 12, 2017",0.082676,0.082684,0.079895,0.081639,"71,479","8,124,220" 220 | "Feb 11, 2017",0.085904,0.089112,0.078969,0.082252,"231,455","8,441,350" 221 | "Feb 10, 2017",0.088712,0.089549,0.084462,0.085885,"52,630","8,717,130" 222 | "Feb 09, 2017",0.095246,0.097714,0.085348,0.088600,"69,367","9,359,060" 223 | "Feb 08, 2017",0.095849,0.098826,0.093827,0.095119,"79,781","9,418,180" 224 | "Feb 07, 2017",0.095959,0.102484,0.093552,0.096076,"89,575","9,428,940" 225 | "Feb 06, 2017",0.087317,0.096752,0.086319,0.095773,"112,679","8,579,590" 226 | "Feb 05, 2017",0.089350,0.091020,0.084208,0.087231,"84,386","8,779,260" 227 | "Feb 04, 2017",0.096011,0.097377,0.087365,0.088284,"110,928","9,433,640" 228 | "Feb 03, 2017",0.095478,0.096592,0.087990,0.095879,"160,805","9,381,150" 229 | "Feb 02, 2017",0.091754,0.097918,0.089708,0.095510,"123,522","9,015,170" 230 | "Feb 01, 2017",0.090561,0.101060,0.088551,0.090579,"236,785","8,897,770" 231 | "Jan 31, 2017",0.095331,0.102837,0.085576,0.090557,"317,006","9,366,320" 232 | "Jan 30, 2017",0.105612,0.108240,0.092744,0.095316,"177,443","10,376,300" 233 | "Jan 29, 2017",0.099559,0.108755,0.096696,0.105486,"206,905","9,781,460" 234 | "Jan 28, 2017",0.105297,0.125399,0.095795,0.098184,"723,195","10,345,100" 235 | "Jan 27, 2017",0.085806,0.114132,0.084951,0.105177,"700,301","8,430,090" 236 | "Jan 26, 2017",0.081170,0.091128,0.079183,0.085182,"246,990","7,974,480" 237 | "Jan 25, 2017",0.075874,0.081221,0.074892,0.081218,"85,150","7,454,070" 238 | "Jan 24, 2017",0.086112,0.087053,0.074899,0.075847,"189,394","8,459,760" 239 | "Jan 23, 2017",0.076673,0.094364,0.076673,0.087383,"457,257","7,532,420" 240 | "Jan 22, 2017",0.073346,0.077366,0.070477,0.076585,"84,029","7,205,440" 241 | "Jan 21, 2017",0.067719,0.076926,0.067719,0.073326,"56,137","6,652,520" 242 | "Jan 20, 2017",0.072514,0.073279,0.067651,0.067718,"68,864","7,123,570" 243 | "Jan 19, 2017",0.059815,0.077696,0.059104,0.072556,"307,059","5,875,980" 244 | "Jan 18, 2017",0.058965,0.060681,0.055384,0.059331,"48,399","5,792,340" 245 | "Jan 17, 2017",0.060448,0.062535,0.057740,0.058927,"78,962","5,937,980" 246 | "Jan 16, 2017",0.051045,0.060532,0.051031,0.060429,"73,450","5,014,180" 247 | "Jan 15, 2017",0.049431,0.051648,0.049244,0.051008,"34,667","4,855,600" 248 | "Jan 14, 2017",0.050261,0.051908,0.049187,0.049450,"32,396","4,937,040" 249 | "Jan 13, 2017",0.049823,0.052415,0.047920,0.050191,"49,029","4,893,950" 250 | "Jan 12, 2017",0.048437,0.051301,0.046537,0.049916,"30,535","4,757,810" 251 | "Jan 11, 2017",0.056425,0.058835,0.047551,0.048447,"40,830","5,542,380" 252 | "Jan 10, 2017",0.054647,0.058804,0.054299,0.056420,"41,411","5,367,670" 253 | "Jan 09, 2017",0.059551,0.059969,0.053280,0.054677,"106,851","5,849,220" 254 | "Jan 08, 2017",0.063441,0.065208,0.053345,0.059994,"86,560","6,231,240" 255 | "Jan 07, 2017",0.063932,0.064033,0.057462,0.063440,"50,383","6,279,410" 256 | "Jan 06, 2017",0.072944,0.076102,0.061764,0.063573,"67,421","7,164,490" 257 | "Jan 05, 2017",0.082555,0.086548,0.066880,0.072809,"78,967","8,108,280" 258 | "Jan 04, 2017",0.075405,0.084885,0.074238,0.082790,"64,675","7,405,970" 259 | "Jan 03, 2017",0.074296,0.076472,0.070720,0.075422,"38,564","7,296,950" 260 | "Jan 02, 2017",0.074165,0.075801,0.068502,0.074299,"64,074","7,283,960" 261 | "Jan 01, 2017",0.072355,0.075303,0.070218,0.072378,"24,800","7,106,110" 262 | "Dec 31, 2016",0.070964,0.073580,0.067287,0.072431,"28,697","6,969,420" 263 | "Dec 30, 2016",0.069614,0.073764,0.067489,0.070197,"30,432","6,836,780" 264 | "Dec 29, 2016",0.066137,0.070584,0.063911,0.069614,"34,638","6,495,200" 265 | "Dec 28, 2016",0.067865,0.071125,0.065123,0.066182,"53,526","6,664,860" 266 | "Dec 27, 2016",0.067918,0.072046,0.064694,0.067826,"64,183","6,669,910" 267 | "Dec 26, 2016",0.065540,0.068425,0.064243,0.067875,"25,071","6,436,290" 268 | "Dec 25, 2016",0.062540,0.065987,0.059872,0.065548,"13,888","6,141,590" 269 | "Dec 24, 2016",0.065564,0.068000,0.061318,0.062518,"20,375","6,438,510" 270 | "Dec 23, 2016",0.058626,0.069852,0.056611,0.065570,"48,217","5,757,140" 271 | "Dec 22, 2016",0.061452,0.064846,0.057855,0.058648,"69,203","6,034,500" 272 | "Dec 21, 2016",0.067623,0.069040,0.057460,0.061459,"116,647","6,640,440" 273 | "Dec 20, 2016",0.073677,0.073777,0.065764,0.065920,"63,415","7,234,790" 274 | "Dec 19, 2016",0.054998,0.109379,0.053786,0.073720,"341,170","5,400,570" 275 | "Dec 18, 2016",0.057719,0.060099,0.051720,0.055016,"23,139","5,667,650" 276 | "Dec 17, 2016",0.058904,0.060078,0.054209,0.057717,"32,640","5,783,930" 277 | "Dec 16, 2016",0.058504,0.062792,0.055677,0.058697,"18,295","5,744,550" 278 | "Dec 15, 2016",0.066035,0.066361,0.058365,0.058519,"15,331","6,483,990" 279 | "Dec 14, 2016",0.066353,0.068473,0.065039,0.066035,"13,611","6,515,120" 280 | "Dec 13, 2016",0.066636,0.068788,0.065415,0.066440,"12,530","6,542,820" 281 | "Dec 12, 2016",0.062893,0.068878,0.062893,0.068624,"14,732","6,175,200" 282 | "Dec 11, 2016",0.066296,0.066300,0.062784,0.062893,"14,964","6,509,250" 283 | "Dec 10, 2016",0.068799,0.069915,0.064281,0.066287,"6,461","6,754,940" 284 | "Dec 09, 2016",0.062929,0.068779,0.061421,0.068779,"27,050","6,178,510" 285 | "Dec 08, 2016",0.062987,0.067263,0.061103,0.062941,"11,228","6,184,110" 286 | "Dec 07, 2016",0.058462,0.067837,0.058462,0.062988,"59,404","5,739,800" 287 | "Dec 06, 2016",0.066341,0.067899,0.057170,0.058463,"42,082","6,513,230" 288 | "Dec 05, 2016",0.059588,0.069023,0.058035,0.066338,"26,501","5,850,190" 289 | "Dec 04, 2016",0.061692,0.068016,0.057058,0.059561,"27,734","6,056,710" 290 | "Dec 03, 2016",0.051461,0.069365,0.049155,0.061689,"22,706","5,052,160" 291 | "Dec 02, 2016",0.056846,0.059882,0.048134,0.051445,"55,365","5,580,780" 292 | "Dec 01, 2016",0.054846,0.061314,0.054085,0.056788,"22,493","5,384,310" 293 | "Nov 30, 2016",0.059503,0.060661,0.053033,0.054847,"40,142","5,841,450" 294 | "Nov 29, 2016",0.054207,0.062961,0.054123,0.059511,"23,552","5,321,500" 295 | "Nov 28, 2016",0.058130,0.060183,0.053061,0.054205,"18,263","5,706,500" 296 | "Nov 27, 2016",0.062743,0.065576,0.049560,0.058090,"37,613","6,159,260" 297 | "Nov 26, 2016",0.067297,0.067297,0.059345,0.062763,"22,037","6,606,270" 298 | "Nov 25, 2016",0.068107,0.068845,0.064861,0.067294,"12,792","6,685,630" 299 | "Nov 24, 2016",0.065427,0.069716,0.063940,0.068121,"19,374","6,422,560" 300 | "Nov 23, 2016",0.067967,0.068013,0.063006,0.065426,"19,202","6,671,740" 301 | "Nov 22, 2016",0.069342,0.070790,0.059860,0.066165,"59,686","6,806,590" 302 | "Nov 21, 2016",0.075917,0.076939,0.065562,0.069432,"64,281","7,451,950" 303 | "Nov 20, 2016",0.079641,0.088312,0.067347,0.075914,"52,089","7,817,400" 304 | "Nov 19, 2016",0.086440,0.094613,0.064243,0.079627,"226,155","8,484,640" 305 | "Nov 18, 2016",0.084894,0.108019,0.081205,0.086462,"93,818","8,332,770" 306 | "Nov 17, 2016",0.096150,0.096238,0.078355,0.084937,"79,322","9,437,560" 307 | "Nov 16, 2016",0.106690,0.109113,0.074242,0.096157,"222,205","10,471,900" 308 | "Nov 15, 2016",0.105744,0.119433,0.092993,0.106690,"212,095","10,378,900" 309 | "Nov 14, 2016",0.085683,0.112875,0.085412,0.107251,"135,816","8,409,800" 310 | "Nov 13, 2016",0.086051,0.086069,0.083908,0.085690,"127,159","8,445,840" 311 | "Nov 12, 2016",0.087434,0.087524,0.085924,0.086053,"127,701","8,581,480" 312 | "Nov 11, 2016",0.066275,0.093214,0.066275,0.087435,"129,763","6,504,630" 313 | "Nov 10, 2016",0.064760,0.071325,0.064682,0.067969,"24,676","6,355,850" 314 | "Nov 09, 2016",0.069555,0.073167,0.062965,0.064787,"77,510","6,826,360" 315 | "Nov 08, 2016",0.059766,0.076316,0.059766,0.069018,"141,259","5,865,600" 316 | "Nov 07, 2016",0.051963,0.069757,0.051333,0.059499,"60,853","5,099,670" 317 | "Nov 06, 2016",0.052511,0.053348,0.050621,0.052001,"9,368","5,153,470" 318 | "Nov 05, 2016",0.051568,0.053306,0.049877,0.052485,"11,692","5,060,840" 319 | "Nov 04, 2016",0.048739,0.055305,0.047591,0.051577,"16,437","4,783,150" 320 | "Nov 03, 2016",0.054162,0.055480,0.046454,0.048739,"27,732","5,315,250" 321 | "Nov 02, 2016",0.055034,0.056684,0.052377,0.054034,"23,891","5,400,730" 322 | "Nov 01, 2016",0.051521,0.061279,0.050725,0.055675,"69,859","5,055,980" 323 | "Oct 31, 2016",0.052163,0.053720,0.050174,0.051525,"16,827","5,118,840" 324 | "Oct 30, 2016",0.055801,0.055801,0.050531,0.052163,"53,043","5,475,790" 325 | "Oct 29, 2016",0.054590,0.062648,0.051969,0.056596,"128,646","5,356,890" 326 | "Oct 28, 2016",0.051073,0.058702,0.048811,0.054974,"104,674","5,011,690" 327 | "Oct 27, 2016",0.045094,0.051849,0.044375,0.051045,"84,386","4,424,980" 328 | "Oct 26, 2016",0.039474,0.047481,0.039474,0.045100,"73,019","3,873,400" 329 | "Oct 25, 2016",0.039240,0.042082,0.038904,0.039468,"23,322","3,850,410" 330 | "Oct 24, 2016",0.039265,0.040592,0.037878,0.039226,"9,212","3,852,850" 331 | "Oct 23, 2016",0.038182,0.040111,0.037535,0.039260,"16,980","3,746,440" 332 | "Oct 22, 2016",0.037482,0.040215,0.037482,0.038163,"50,889","3,677,800" 333 | "Oct 21, 2016",0.035833,0.037749,0.035397,0.037486,"10,909","3,515,880" 334 | "Oct 20, 2016",0.036894,0.037520,0.035415,0.035840,"9,320","3,619,950" 335 | "Oct 19, 2016",0.035589,0.038309,0.035585,0.036885,"28,047","3,491,850" 336 | "Oct 18, 2016",0.035276,0.037505,0.033850,0.035577,"19,354","3,461,150" 337 | "Oct 17, 2016",0.038440,0.038524,0.034003,0.035226,"22,527","3,771,520" 338 | "Oct 16, 2016",0.037610,0.039016,0.037610,0.038427,"15,717","3,690,020" 339 | "Oct 15, 2016",0.038391,0.040179,0.037017,0.037600,"47,180","3,766,580" 340 | "Oct 14, 2016",0.033425,0.038430,0.033203,0.038391,"22,777","3,279,330" 341 | "Oct 13, 2016",0.035026,0.036879,0.033038,0.033419,"9,545","3,436,390" 342 | "Oct 12, 2016",0.037798,0.039578,0.034998,0.035035,"49,766","3,708,240" 343 | "Oct 11, 2016",0.032194,0.038164,0.031069,0.037798,"38,474","3,158,460" 344 | "Oct 10, 2016",0.030178,0.032944,0.029584,0.032182,"18,675","2,960,590" 345 | "Oct 09, 2016",0.030308,0.033976,0.028456,0.030178,"29,882","2,973,380" 346 | "Oct 08, 2016",0.030651,0.031189,0.028742,0.030303,"10,688","3,006,940" 347 | "Oct 07, 2016",0.028909,0.032492,0.027565,0.030634,"18,576","2,836,010" 348 | "Oct 06, 2016",0.028108,0.029619,0.027624,0.028928,"14,752","2,757,410" 349 | "Oct 05, 2016",0.027893,0.030338,0.027594,0.028109,"21,163","2,736,280" 350 | "Oct 04, 2016",0.031851,0.032369,0.027879,0.027891,"36,756","3,124,520" 351 | "Oct 03, 2016",0.031801,0.032200,0.028137,0.031855,"40,970","3,119,550" 352 | "Oct 02, 2016",0.030894,0.034218,0.030783,0.031769,"16,959","3,030,530" 353 | "Oct 01, 2016",0.029795,0.034331,0.028851,0.031822,"27,620","2,922,700" 354 | "Sep 30, 2016",0.029079,0.030899,0.028479,0.029636,"42,890","2,852,400" 355 | "Sep 29, 2016",0.032453,0.033363,0.028615,0.029073,"46,507","3,183,370" 356 | "Sep 28, 2016",0.034817,0.034827,0.030868,0.032441,"25,848","3,415,140" 357 | "Sep 27, 2016",0.035266,0.036093,0.033364,0.034811,"31,590","3,459,240" 358 | "Sep 26, 2016",0.036109,0.037862,0.034833,0.035266,"32,993","3,541,780" 359 | "Sep 25, 2016",0.038845,0.039994,0.036097,0.036110,"41,029","3,810,160" 360 | "Sep 24, 2016",0.035533,0.040052,0.034995,0.038854,"44,925","3,485,190" 361 | "Sep 23, 2016",0.034460,0.037279,0.034141,0.035526,"23,416","3,379,980" 362 | "Sep 22, 2016",0.034965,0.035763,0.034068,0.034466,"7,081","3,429,410" 363 | "Sep 21, 2016",0.036143,0.036520,0.034140,0.034957,"26,079","3,544,910" 364 | "Sep 20, 2016",0.034051,0.038303,0.034051,0.036401,"48,812","3,339,720" 365 | "Sep 19, 2016",0.037056,0.037067,0.034049,0.034050,"29,679","3,634,360" 366 | "Sep 18, 2016",0.033564,0.037033,0.033278,0.036501,"39,581","3,291,830" 367 | "Sep 17, 2016",0.034539,0.034655,0.030457,0.033547,"59,863","3,387,440" 368 | "Sep 16, 2016",0.038858,0.038858,0.033921,0.034574,"57,652","3,810,940" 369 | "Sep 15, 2016",0.036818,0.040551,0.035347,0.038852,"96,254","3,610,900" 370 | "Sep 14, 2016",0.036929,0.038508,0.034827,0.037704,"73,879","3,621,680" 371 | "Sep 13, 2016",0.034792,0.038141,0.032370,0.036959,"78,787","3,412,010" 372 | "Sep 12, 2016",0.037712,0.038903,0.032017,0.034792,"138,431","3,698,340" 373 | "Sep 11, 2016",0.049149,0.049802,0.036248,0.037784,"278,851","4,819,890" 374 | "Sep 10, 2016",0.030536,0.047915,0.029899,0.047915,"210,228","2,994,550" 375 | "Sep 09, 2016",0.026056,0.031067,0.025896,0.030533,"41,130","2,555,210" 376 | "Sep 08, 2016",0.027652,0.028287,0.025115,0.026794,"24,368","2,711,680" 377 | "Sep 07, 2016",0.024582,0.028025,0.024499,0.027648,"45,575","2,410,550" 378 | "Sep 06, 2016",0.022380,0.025614,0.021904,0.024576,"33,508","2,194,620" 379 | "Sep 05, 2016",0.022131,0.023627,0.021879,0.022383,"11,453","2,170,140" 380 | "Sep 04, 2016",0.023531,0.024157,0.021402,0.022118,"26,275","2,307,380" 381 | "Sep 03, 2016",0.023228,0.023769,0.021618,0.023516,"32,279","2,277,710" 382 | "Sep 02, 2016",0.022095,0.024800,0.021984,0.023228,"21,842","2,166,520" 383 | "Sep 01, 2016",0.021289,0.022687,0.020624,0.022090,"16,398","2,087,530" 384 | "Aug 31, 2016",0.020245,0.022638,0.020113,0.021287,"24,222","1,985,060" 385 | "Aug 30, 2016",0.021179,0.021537,0.020227,0.020241,"13,575","2,076,630" 386 | "Aug 29, 2016",0.021109,0.023414,0.020138,0.021121,"37,867","2,069,720" 387 | "Aug 28, 2016",0.023380,0.025276,0.020146,0.021103,"52,311","2,292,440" 388 | "Aug 27, 2016",0.022749,0.027015,0.021072,0.023835,"78,507","2,230,530" 389 | "Aug 26, 2016",0.018488,0.024320,0.018065,0.021864,"50,463","1,812,710" 390 | "Aug 25, 2016",0.020950,0.021053,0.016875,0.018488,"35,593","2,054,090" 391 | "Aug 24, 2016",0.022228,0.022234,0.020301,0.020950,"26,100","2,179,290" 392 | "Aug 23, 2016",0.021985,0.023075,0.019797,0.022228,"117,115","2,155,460" 393 | "Aug 22, 2016",0.020654,0.023463,0.020379,0.021984,"40,105","2,024,960" 394 | "Aug 21, 2016",0.020540,0.021267,0.019723,0.020555,"17,146","2,013,740" 395 | "Aug 20, 2016",0.020733,0.022651,0.019495,0.020357,"36,074","2,032,670" 396 | "Aug 19, 2016",0.024680,0.024977,0.019231,0.020717,"68,362","2,419,540" 397 | "Aug 18, 2016",0.027360,0.027938,0.020850,0.023990,"121,468","2,682,320" 398 | "Aug 17, 2016",0.028310,0.030283,0.024678,0.027411,"153,193","2,775,420" 399 | "Aug 16, 2016",0.023893,0.031045,0.022763,0.028699,"218,752","2,342,370" 400 | "Aug 15, 2016",0.024023,0.027224,0.019404,0.024511,"221,564","2,355,090" 401 | "Aug 14, 2016",0.014405,0.033588,0.013431,0.023960,"603,562","1,412,140" 402 | "Aug 13, 2016",0.011171,0.016318,0.008483,0.014405,"156,217","1,095,050" 403 | "Aug 12, 2016",0.013826,0.013897,0.009226,0.011175,"48,504",- 404 | -------------------------------------------------------------------------------- /model/eth.h5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GradientTrader/gradient-trader/c0904a2906c4df807849b82e7e73097bb3c8fe24/model/eth.h5 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/GradientTrader/gradient-trader/c0904a2906c4df807849b82e7e73097bb3c8fe24/simulator/environment/__init__.py -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/bitcoin_cash_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",421.79,421.79,395.74,404.18,"130,247,000","7,022,370,000" 3 | "Oct 02, 2017",415.87,430.86,411.84,421.19,"219,590,000","6,921,580,000" 4 | "Oct 01, 2017",433.38,436.94,415.15,415.15,"164,290,000","7,207,770,000" 5 | "Sep 30, 2017",436.64,445.62,432.53,432.63,"150,565,000","7,258,880,000" 6 | "Sep 29, 2017",447.66,447.92,426.99,436.77,"148,725,000","7,441,960,000" 7 | "Sep 28, 2017",456.71,465.20,433.50,447.81,"300,421,000","7,592,000,000" 8 | "Sep 27, 2017",441.86,460.00,439.41,457.31,"197,885,000","7,343,490,000" 9 | "Sep 26, 2017",445.36,458.25,441.83,441.83,"165,303,000","7,400,020,000" 10 | "Sep 25, 2017",419.65,450.13,419.65,445.80,"302,272,000","6,971,280,000" 11 | "Sep 24, 2017",428.80,433.04,419.25,421.03,"114,527,000","7,121,950,000" 12 | "Sep 23, 2017",415.31,432.96,407.45,428.50,"189,127,000","6,895,970,000" 13 | "Sep 22, 2017",417.92,435.44,402.77,415.09,"241,905,000","6,937,170,000" 14 | "Sep 21, 2017",475.83,480.00,413.75,416.26,"316,731,000","7,898,300,000" 15 | "Sep 20, 2017",526.74,527.72,471.09,476.05,"669,264,000","8,741,670,000" 16 | "Sep 19, 2017",480.64,550.41,450.05,527.88,"802,321,000","7,975,010,000" 17 | "Sep 18, 2017",422.09,479.69,422.09,479.32,"458,550,000","7,001,640,000" 18 | "Sep 17, 2017",438.90,438.90,384.06,419.86,"221,828,000","7,279,520,000" 19 | "Sep 16, 2017",424.49,450.98,388.20,440.22,"313,583,000","7,039,590,000" 20 | "Sep 15, 2017",369.49,448.39,301.69,424.02,"707,231,000","6,126,800,000" 21 | "Sep 14, 2017",504.22,510.47,367.04,367.04,"257,431,000","8,359,650,000" 22 | "Sep 13, 2017",509.47,519.20,471.22,503.61,"340,344,000","8,445,540,000" 23 | "Sep 12, 2017",539.03,559.22,505.01,510.41,"273,825,000","8,934,220,000" 24 | "Sep 11, 2017",537.19,556.25,515.67,537.81,"274,712,000","8,902,570,000" 25 | "Sep 10, 2017",546.48,546.75,484.09,537.07,"289,508,000","9,055,430,000" 26 | "Sep 09, 2017",584.73,586.18,539.15,547.47,"234,578,000","9,688,150,000" 27 | "Sep 08, 2017",654.37,687.30,557.50,583.10,"809,763,000","10,840,500,000" 28 | "Sep 07, 2017",636.85,707.98,603.50,652.86,"1,082,380,000","10,548,500,000" 29 | "Sep 06, 2017",541.28,642.69,539.96,638.18,"693,240,000","8,964,700,000" 30 | "Sep 05, 2017",514.90,550.95,458.78,541.71,"338,978,000","8,527,100,000" 31 | "Sep 04, 2017",608.26,608.26,500.75,517.24,"328,957,000","10,072,200,000" 32 | "Sep 03, 2017",578.27,617.41,563.59,607.43,"344,862,000","9,574,520,000" 33 | "Sep 02, 2017",621.96,642.05,560.58,575.90,"350,478,000","10,297,000,000" 34 | "Sep 01, 2017",588.40,645.52,586.73,622.17,"393,839,000","9,740,460,000" 35 | "Aug 31, 2017",576.25,603.69,572.14,588.17,"298,144,000","9,538,750,000" 36 | "Aug 30, 2017",549.32,604.69,535.92,575.21,"443,856,000","9,092,300,000" 37 | "Aug 29, 2017",596.13,599.30,528.32,552.93,"370,017,000","9,866,110,000" 38 | "Aug 28, 2017",619.70,626.88,595.52,596.18,"216,273,000","10,254,800,000" 39 | "Aug 27, 2017",625.89,654.87,589.63,620.90,"402,718,000","10,357,000,000" 40 | "Aug 26, 2017",641.88,646.93,622.36,625.32,"193,414,000","10,616,100,000" 41 | "Aug 25, 2017",627.06,665.41,624.30,641.05,"348,632,000","10,365,600,000" 42 | "Aug 24, 2017",670.03,697.32,617.31,628.11,"407,177,000","11,071,100,000" 43 | "Aug 23, 2017",690.96,715.67,651.32,669.40,"501,983,000","11,416,800,000" 44 | "Aug 22, 2017",596.19,734.88,570.27,690.88,"1,393,260,000","9,844,620,000" 45 | "Aug 21, 2017",723.70,756.59,573.47,599.63,"1,123,400,000","11,943,100,000" 46 | "Aug 20, 2017",772.42,858.96,683.94,712.87,"1,494,020,000","12,742,600,000" 47 | "Aug 19, 2017",697.04,1091.97,625.16,754.56,"3,196,230,000","11,498,100,000" 48 | "Aug 18, 2017",458.67,764.07,458.67,690.24,"3,087,490,000","7,565,590,000" 49 | "Aug 17, 2017",301.02,460.53,293.10,460.53,"744,605,000","4,964,980,000" 50 | "Aug 16, 2017",297.97,307.62,290.21,300.21,"106,436,000","4,914,350,000" 51 | "Aug 15, 2017",298.19,306.52,292.88,297.86,"133,924,000","4,917,480,000" 52 | "Aug 14, 2017",296.10,327.39,293.50,297.68,"174,968,000","4,882,720,000" 53 | "Aug 13, 2017",316.29,317.47,298.05,298.05,"120,722,000","5,215,330,000" 54 | "Aug 12, 2017",327.82,341.85,313.70,317.09,"126,007,000","5,405,200,000" 55 | "Aug 11, 2017",275.88,351.16,275.02,328.24,"233,971,000","4,548,600,000" 56 | "Aug 10, 2017",305.21,311.68,274.68,275.95,"136,637,000","5,031,790,000" 57 | "Aug 09, 2017",345.28,349.32,298.61,303.89,"165,032,000","5,691,960,000" 58 | "Aug 08, 2017",321.35,386.29,309.61,345.49,"274,880,000","5,297,390,000" 59 | "Aug 07, 2017",223.76,373.87,223.76,319.69,"346,546,000","3,688,360,000" 60 | "Aug 06, 2017",212.18,223.70,203.44,220.66,"107,606,000","3,497,290,000" 61 | "Aug 05, 2017",231.11,273.04,200.98,213.15,"144,043,000","3,809,330,000" 62 | "Aug 04, 2017",362.18,386.93,233.05,233.05,"185,038,000","5,969,720,000" 63 | "Aug 03, 2017",448.49,519.28,364.05,364.05,"161,518,000","7,392,030,000" 64 | "Aug 02, 2017",382.38,756.93,309.33,452.66,"416,207,000","6,302,360,000" 65 | "Aug 01, 2017",294.60,426.11,210.38,380.01,"65,988,800",- 66 | "Jul 31, 2017",346.36,347.82,266.19,294.46,"1,075,960",- 67 | "Jul 30, 2017",385.14,385.14,316.25,345.66,"606,695",- 68 | "Jul 29, 2017",410.56,423.73,323.73,384.77,"737,815",- 69 | "Jul 28, 2017",386.65,465.18,217.06,406.05,"1,230,160",- 70 | "Jul 27, 2017",417.10,460.97,367.78,385.48,"533,207",- 71 | "Jul 26, 2017",407.08,486.16,321.79,365.82,"1,784,640",- 72 | "Jul 25, 2017",441.35,541.66,338.09,406.90,"524,908",- 73 | "Jul 24, 2017",412.58,578.89,409.21,440.70,"190,952",- 74 | "Jul 23, 2017",555.89,578.97,411.78,413.06,"85,013",- 75 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/bitconnect_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",139.07,139.75,134.20,136.58,"8,298,420","955,766,000" 3 | "Oct 02, 2017",139.19,140.60,134.72,139.08,"11,113,800","953,552,000" 4 | "Oct 01, 2017",136.23,139.33,134.03,139.33,"5,808,050","932,178,000" 5 | "Sep 30, 2017",130.13,136.54,128.68,136.16,"7,830,160","889,567,000" 6 | "Sep 29, 2017",131.15,132.31,123.58,130.11,"10,871,800","895,647,000" 7 | "Sep 28, 2017",126.30,131.58,125.18,131.26,"12,807,500","861,593,000" 8 | "Sep 27, 2017",117.41,127.13,117.36,126.31,"10,526,200","800,032,000" 9 | "Sep 26, 2017",117.50,120.41,116.41,117.76,"10,629,600","796,741,000" 10 | "Sep 25, 2017",109.68,119.57,109.51,117.50,"10,414,100","742,949,000" 11 | "Sep 24, 2017",113.12,113.27,108.57,110.11,"4,950,760","765,508,000" 12 | "Sep 23, 2017",109.38,113.91,108.24,113.17,"5,640,310","739,413,000" 13 | "Sep 22, 2017",108.61,113.21,107.07,109.69,"6,933,750","733,372,000" 14 | "Sep 21, 2017",116.67,117.45,107.42,108.73,"6,427,510","787,024,000" 15 | "Sep 20, 2017",117.55,121.48,114.45,117.25,"8,498,270","792,175,000" 16 | "Sep 19, 2017",122.20,123.11,114.60,117.67,"9,224,430","822,711,000" 17 | "Sep 18, 2017",106.62,122.23,106.49,122.00,"8,192,160","716,916,000" 18 | "Sep 17, 2017",109.75,110.94,102.81,106.84,"5,350,380","737,226,000" 19 | "Sep 16, 2017",111.11,116.01,105.02,109.85,"5,683,580","744,652,000" 20 | "Sep 15, 2017",97.42,113.75,89.36,111.22,"8,539,660","652,107,000" 21 | "Sep 14, 2017",115.97,117.38,96.71,96.71,"6,367,800","775,543,000" 22 | "Sep 13, 2017",123.14,123.70,112.60,115.97,"6,315,510","822,282,000" 23 | "Sep 12, 2017",125.29,130.91,122.22,123.50,"6,861,080","835,911,000" 24 | "Sep 11, 2017",121.88,128.20,120.76,125.70,"7,083,720","812,292,000" 25 | "Sep 10, 2017",129.70,129.70,118.94,122.92,"4,644,030","863,579,000" 26 | "Sep 09, 2017",128.51,131.51,125.21,130.05,"6,225,680","854,520,000" 27 | "Sep 08, 2017",137.68,139.78,123.23,128.29,"7,051,050","914,556,000" 28 | "Sep 07, 2017",135.88,138.67,132.52,137.61,"7,564,730","901,778,000" 29 | "Sep 06, 2017",130.25,142.16,128.84,136.18,"8,049,390","863,537,000" 30 | "Sep 05, 2017",114.74,131.57,108.93,129.42,"8,537,600","756,793,000" 31 | "Sep 04, 2017",128.26,129.55,110.68,114.13,"30,395,600","845,031,000" 32 | "Sep 03, 2017",131.71,135.06,125.87,130.99,"5,244,490","866,869,000" 33 | "Sep 02, 2017",141.11,142.80,128.00,131.33,"5,056,030","926,918,000" 34 | "Sep 01, 2017",135.66,140.97,133.47,140.97,"7,854,700","890,229,000" 35 | "Aug 31, 2017",135.60,136.88,132.24,135.63,"6,633,480","888,920,000" 36 | "Aug 30, 2017",128.06,137.29,127.68,136.06,"9,923,160","838,560,000" 37 | "Aug 29, 2017",119.01,129.24,114.84,128.24,"9,907,640","778,470,000" 38 | "Aug 28, 2017",114.84,120.45,86.11,118.75,"6,444,290","750,345,000" 39 | "Aug 27, 2017",116.11,129.98,101.65,114.99,"4,895,670","757,691,000" 40 | "Aug 26, 2017",100.14,136.51,93.25,116.13,"995,116","652,789,000" 41 | "Aug 25, 2017",123.40,149.89,38.98,100.87,"3,353,200","803,652,000" 42 | "Aug 24, 2017",128.05,131.49,119.89,127.08,"8,552,010","832,860,000" 43 | "Aug 23, 2017",120.20,130.43,119.72,127.97,"9,692,110","781,010,000" 44 | "Aug 22, 2017",116.16,121.95,106.55,120.44,"6,273,350","754,043,000" 45 | "Aug 21, 2017",116.32,118.05,112.68,115.91,"7,667,050","754,278,000" 46 | "Aug 20, 2017",119.53,119.61,114.63,116.77,"4,730,720","774,327,000" 47 | "Aug 19, 2017",121.01,132.04,111.47,120.04,"6,751,140","783,024,000" 48 | "Aug 18, 2017",117.65,124.19,115.06,121.08,"7,858,910","760,435,000" 49 | "Aug 17, 2017",119.23,122.91,115.32,117.90,"9,416,780","769,810,000" 50 | "Aug 16, 2017",112.38,119.41,107.07,119.36,"8,065,040","724,865,000" 51 | "Aug 15, 2017",113.03,116.79,104.35,112.26,"8,375,150","728,298,000" 52 | "Aug 14, 2017",103.30,112.83,98.87,112.73,"7,806,160","664,460,000" 53 | "Aug 13, 2017",104.71,113.37,100.17,103.23,"5,104,100","672,851,000" 54 | "Aug 12, 2017",98.88,106.88,97.91,104.76,"6,396,390","634,327,000" 55 | "Aug 11, 2017",91.57,100.27,91.22,98.96,"8,535,500","586,851,000" 56 | "Aug 10, 2017",85.94,92.18,85.46,91.54,"8,170,850","550,213,000" 57 | "Aug 09, 2017",86.45,86.89,83.16,85.91,"6,557,630","552,995,000" 58 | "Aug 08, 2017",83.13,87.32,83.03,86.51,"8,050,680","530,677,000" 59 | "Aug 07, 2017",79.20,84.90,78.36,83.05,"4,506,370","505,097,000" 60 | "Aug 06, 2017",79.13,81.21,75.75,79.32,"3,382,890","504,140,000" 61 | "Aug 05, 2017",70.72,80.61,70.72,79.13,"4,215,220","450,089,000" 62 | "Aug 04, 2017",69.41,71.10,67.85,70.90,"4,766,590","441,261,000" 63 | "Aug 03, 2017",65.09,69.85,64.73,69.35,"4,382,480","413,366,000" 64 | "Aug 02, 2017",50.73,70.30,49.78,64.93,"3,277,460","321,857,000" 65 | "Aug 01, 2017",65.98,66.14,41.09,52.44,"261,126","416,441,000" 66 | "Jul 31, 2017",61.29,66.64,57.91,66.14,"1,578,510","386,447,000" 67 | "Jul 30, 2017",65.08,65.16,61.26,61.52,"2,147,470","409,831,000" 68 | "Jul 29, 2017",69.08,69.23,64.04,64.96,"2,912,860","434,587,000" 69 | "Jul 28, 2017",65.28,69.94,64.79,69.28,"4,174,750","410,202,000" 70 | "Jul 27, 2017",63.01,66.09,62.21,65.09,"3,508,340","395,556,000" 71 | "Jul 26, 2017",63.57,64.46,60.63,62.68,"3,436,370","398,636,000" 72 | "Jul 25, 2017",67.01,67.01,60.14,63.65,"3,566,120","413,094,000" 73 | "Jul 24, 2017",61.33,68.22,58.44,67.02,"3,991,940","374,541,000" 74 | "Jul 23, 2017",67.36,67.85,58.75,60.14,"2,132,900","410,971,000" 75 | "Jul 22, 2017",67.23,70.84,65.63,67.31,"3,077,890","409,779,000" 76 | "Jul 21, 2017",70.31,70.55,65.47,67.21,"4,225,470","423,696,000" 77 | "Jul 20, 2017",56.44,72.00,56.44,69.79,"4,378,970","334,334,000" 78 | "Jul 19, 2017",58.38,60.22,55.72,56.61,"3,140,970","345,452,000" 79 | "Jul 18, 2017",55.72,59.98,53.81,58.29,"3,540,910","329,330,000" 80 | "Jul 17, 2017",47.74,55.83,47.74,55.49,"3,778,790","281,529,000" 81 | "Jul 16, 2017",44.22,50.56,29.87,48.05,"2,100,690","260,770,000" 82 | "Jul 15, 2017",55.45,55.55,44.57,44.57,"2,687,210","383,760,000" 83 | "Jul 14, 2017",57.60,58.57,53.94,55.53,"3,445,520","398,102,000" 84 | "Jul 13, 2017",57.99,58.89,57.02,57.64,"3,024,130","400,400,000" 85 | "Jul 12, 2017",54.99,58.86,53.61,58.26,"2,740,060","379,392,000" 86 | "Jul 11, 2017",53.64,56.96,53.28,55.07,"2,767,260","368,502,000" 87 | "Jul 10, 2017",58.67,59.60,53.45,53.97,"2,949,720","402,702,000" 88 | "Jul 09, 2017",60.22,60.45,58.61,58.96,"1,992,460","412,952,000" 89 | "Jul 08, 2017",56.60,60.25,56.60,60.18,"2,447,650","387,783,000" 90 | "Jul 07, 2017",59.13,59.79,56.58,56.58,"4,205,810","404,767,000" 91 | "Jul 06, 2017",57.11,63.80,56.92,59.06,"3,277,810","390,587,000" 92 | "Jul 05, 2017",55.52,57.30,53.62,57.08,"2,954,260","379,307,000" 93 | "Jul 04, 2017",53.24,55.52,53.22,55.48,"2,748,610","363,460,000" 94 | "Jul 03, 2017",51.81,54.06,51.35,53.36,"3,417,230","353,379,000" 95 | "Jul 02, 2017",50.04,52.40,49.62,52.04,"1,326,100","341,010,000" 96 | "Jul 01, 2017",51.37,52.15,49.61,50.04,"2,650,800","349,775,000" 97 | "Jun 30, 2017",51.94,53.10,50.86,51.39,"2,126,610","353,252,000" 98 | "Jun 29, 2017",52.06,52.82,51.04,51.84,"2,865,970","353,750,000" 99 | "Jun 28, 2017",51.31,52.62,49.94,52.11,"2,985,300","348,397,000" 100 | "Jun 27, 2017",49.50,50.77,46.29,50.56,"2,410,340","335,744,000" 101 | "Jun 26, 2017",51.11,52.74,47.31,48.33,"2,220,370","346,232,000" 102 | "Jun 25, 2017",52.76,54.14,50.46,51.16,"2,464,490","357,030,000" 103 | "Jun 24, 2017",55.65,56.40,51.81,52.87,"2,270,790","376,295,000" 104 | "Jun 23, 2017",52.31,56.73,51.25,55.67,"2,353,480","353,360,000" 105 | "Jun 22, 2017",51.25,52.30,50.28,52.30,"2,264,670","345,886,000" 106 | "Jun 21, 2017",52.41,52.67,48.98,51.27,"1,981,900","353,405,000" 107 | "Jun 20, 2017",51.36,52.76,51.08,52.42,"1,991,020","346,100,000" 108 | "Jun 19, 2017",50.96,51.66,50.90,51.38,"1,827,540","343,207,000" 109 | "Jun 18, 2017",51.02,51.62,50.50,50.90,"1,066,710","343,305,000" 110 | "Jun 17, 2017",50.69,51.19,50.27,51.03,"1,436,890","340,842,000" 111 | "Jun 16, 2017",49.16,51.44,46.92,50.94,"1,359,210","330,219,000" 112 | "Jun 15, 2017",48.01,50.28,43.45,49.18,"1,655,390","322,219,000" 113 | "Jun 14, 2017",50.89,53.96,46.35,47.83,"1,804,340","341,224,000" 114 | "Jun 13, 2017",45.91,50.87,45.91,50.87,"1,609,630","307,656,000" 115 | "Jun 12, 2017",53.42,53.42,41.72,45.68,"2,295,830","357,687,000" 116 | "Jun 11, 2017",54.11,57.52,50.63,53.00,"1,762,110","361,918,000" 117 | "Jun 10, 2017",50.04,59.60,42.61,54.04,"3,783,760","326,419,000" 118 | "Jun 09, 2017",41.33,50.40,41.25,49.97,"2,787,430","268,196,000" 119 | "Jun 08, 2017",36.18,41.43,35.42,41.43,"2,176,920","233,903,000" 120 | "Jun 07, 2017",38.00,38.39,35.20,35.93,"3,101,570","245,393,000" 121 | "Jun 06, 2017",32.24,39.78,32.24,37.99,"2,430,580","207,988,000" 122 | "Jun 05, 2017",25.55,32.86,25.55,32.14,"2,170,880","164,708,000" 123 | "Jun 04, 2017",25.53,25.80,24.94,25.55,"1,719,260","164,484,000" 124 | "Jun 03, 2017",24.03,25.66,23.84,25.59,"2,741,120","154,747,000" 125 | "Jun 02, 2017",22.19,24.19,21.99,24.19,"1,512,120","142,856,000" 126 | "Jun 01, 2017",18.93,22.95,18.93,22.18,"2,466,910","121,713,000" 127 | "May 31, 2017",17.00,18.97,17.00,18.90,"1,228,390","109,246,000" 128 | "May 30, 2017",17.22,17.79,16.59,16.92,"801,777","110,582,000" 129 | "May 29, 2017",15.96,17.51,15.54,17.20,"825,630","102,399,000" 130 | "May 28, 2017",14.86,16.68,14.71,15.99,"405,591","95,355,900" 131 | "May 27, 2017",15.31,16.36,13.47,14.63,"551,952","98,179,600" 132 | "May 26, 2017",15.56,17.57,14.07,15.26,"591,390","99,749,800" 133 | "May 25, 2017",13.57,23.37,11.98,15.67,"6,153,930","86,953,600" 134 | "May 24, 2017",13.21,14.35,13.12,13.60,"1,025,590","84,554,600" 135 | "May 23, 2017",12.26,13.34,12.22,13.19,"662,390","78,464,700" 136 | "May 22, 2017",12.60,13.32,11.75,12.28,"834,180","80,620,000" 137 | "May 21, 2017",12.34,12.93,12.20,12.52,"545,026","78,880,200" 138 | "May 20, 2017",11.23,12.38,11.23,12.35,"653,438","71,772,600" 139 | "May 19, 2017",10.73,11.37,10.72,11.22,"670,821","68,513,600" 140 | "May 18, 2017",10.04,10.87,10.02,10.72,"819,691","64,102,400" 141 | "May 17, 2017",9.80,10.35,9.61,10.11,"783,389","62,539,500" 142 | "May 16, 2017",9.20,10.08,8.95,9.81,"765,059","58,670,700" 143 | "May 15, 2017",8.95,9.26,8.51,9.10,"496,905","57,036,400" 144 | "May 14, 2017",8.49,8.88,8.15,8.79,"397,657","54,087,400" 145 | "May 13, 2017",7.39,8.45,7.03,8.45,"480,450","47,075,500" 146 | "May 12, 2017",7.71,8.04,7.29,7.41,"448,407","49,032,700" 147 | "May 11, 2017",7.71,8.03,7.17,7.70,"407,025","49,044,900" 148 | "May 10, 2017",7.93,8.01,7.30,7.69,"499,177","50,406,400" 149 | "May 09, 2017",8.02,8.33,7.61,7.93,"704,454","50,921,800" 150 | "May 08, 2017",7.95,8.30,7.62,8.01,"808,585","50,377,900" 151 | "May 07, 2017",8.22,8.39,7.48,7.95,"266,678","51,681,300" 152 | "May 06, 2017",5.84,8.42,5.65,8.22,"875,112","36,310,900" 153 | "May 05, 2017",6.99,7.27,5.78,5.78,"566,343","43,198,800" 154 | "May 04, 2017",7.55,7.71,6.65,7.00,"556,024","46,609,100" 155 | "May 03, 2017",7.89,8.00,7.58,7.61,"716,542","48,652,600" 156 | "May 02, 2017",7.96,9.00,7.69,7.88,"578,471","49,072,400" 157 | "May 01, 2017",8.89,9.22,8.19,8.19,"483,599","54,709,600" 158 | "Apr 30, 2017",8.95,9.02,8.74,8.88,"391,218","55,090,300" 159 | "Apr 29, 2017",9.15,9.15,8.91,8.97,"557,753","56,271,900" 160 | "Apr 28, 2017",8.45,9.17,8.45,9.14,"433,870","51,889,500" 161 | "Apr 27, 2017",8.01,9.62,6.86,8.45,"715,582","49,191,200" 162 | "Apr 26, 2017",9.25,9.35,7.92,8.01,"862,259","56,757,800" 163 | "Apr 25, 2017",9.77,9.99,9.14,9.25,"615,853","59,895,000" 164 | "Apr 24, 2017",9.77,9.97,9.63,9.78,"581,280","59,861,300" 165 | "Apr 23, 2017",10.07,10.07,9.64,9.74,"294,309","61,638,000" 166 | "Apr 22, 2017",9.87,10.16,9.78,10.07,"442,488","60,365,000" 167 | "Apr 21, 2017",10.06,10.08,9.50,9.87,"474,630","61,440,400" 168 | "Apr 20, 2017",10.19,10.39,9.70,10.05,"388,381","62,223,000" 169 | "Apr 19, 2017",9.89,10.66,9.89,10.18,"495,149","60,314,300" 170 | "Apr 18, 2017",8.74,10.38,8.74,9.74,"1,048,750","53,297,500" 171 | "Apr 17, 2017",9.70,9.78,7.59,8.74,"801,362","59,082,700" 172 | "Apr 16, 2017",10.78,10.84,8.50,9.70,"737,619","65,626,200" 173 | "Apr 15, 2017",9.80,11.45,9.08,10.80,"1,077,470","58,750,800" 174 | "Apr 14, 2017",12.05,12.69,8.27,9.69,"201,720","72,172,000" 175 | "Apr 13, 2017",10.62,17.63,10.62,11.95,"1,951,160","63,522,800" 176 | "Apr 12, 2017",8.39,10.57,8.37,10.55,"902,695","50,133,900" 177 | "Apr 11, 2017",6.13,8.50,6.13,8.41,"771,597","36,618,600" 178 | "Apr 10, 2017",5.91,6.16,5.48,6.12,"595,244","35,273,600" 179 | "Apr 09, 2017",5.73,6.20,5.73,5.92,"470,292","34,156,000" 180 | "Apr 08, 2017",5.43,5.80,5.36,5.73,"458,324","32,329,000" 181 | "Apr 07, 2017",5.17,5.51,5.02,5.45,"614,199","30,770,800" 182 | "Apr 06, 2017",4.80,5.22,4.80,5.20,"499,333","28,510,400" 183 | "Apr 05, 2017",4.77,4.81,4.66,4.79,"355,818","28,317,800" 184 | "Apr 04, 2017",4.49,4.85,4.43,4.76,"398,884","26,668,800" 185 | "Apr 03, 2017",3.91,4.66,3.91,4.42,"414,450","23,190,700" 186 | "Apr 02, 2017",4.02,4.23,3.88,3.91,"149,998","23,780,900" 187 | "Apr 01, 2017",3.53,4.04,3.49,4.01,"432,916","20,858,600" 188 | "Mar 31, 2017",3.35,3.59,3.34,3.49,"277,557","19,395,400" 189 | "Mar 30, 2017",3.41,3.43,3.30,3.35,"313,656","19,700,100" 190 | "Mar 29, 2017",3.34,3.44,3.25,3.40,"250,322","19,176,200" 191 | "Mar 28, 2017",3.25,3.40,3.23,3.34,"340,582","18,635,300" 192 | "Mar 27, 2017",2.99,3.29,2.93,3.25,"303,282","17,109,800" 193 | "Mar 26, 2017",3.05,3.15,2.90,2.97,"165,270","17,464,100" 194 | "Mar 25, 2017",2.70,4.42,2.34,3.04,"377,669","15,418,900" 195 | "Mar 24, 2017",2.02,3.91,2.01,3.32,"347,994","11,530,000" 196 | "Mar 23, 2017",1.83,2.08,1.78,2.02,"244,700","10,431,300" 197 | "Mar 22, 2017",1.89,1.94,1.77,1.83,"162,423","10,741,700" 198 | "Mar 21, 2017",1.79,1.95,1.77,1.89,"248,776","10,195,800" 199 | "Mar 20, 2017",1.74,1.80,1.70,1.79,"261,732","9,891,750" 200 | "Mar 19, 2017",1.61,1.79,1.59,1.74,"200,786","9,129,360" 201 | "Mar 18, 2017",1.73,1.77,1.54,1.60,"233,726","9,815,210" 202 | "Mar 17, 2017",1.83,1.90,1.73,1.73,"239,185","10,355,500" 203 | "Mar 16, 2017",1.89,1.94,1.76,1.84,"231,056","10,683,100" 204 | "Mar 15, 2017",1.89,1.98,1.86,1.89,"296,537","10,676,500" 205 | "Mar 14, 2017",1.86,1.97,1.86,1.89,"197,787","10,499,500" 206 | "Mar 13, 2017",1.74,1.99,1.72,1.86,"207,174","9,805,420" 207 | "Mar 12, 2017",1.88,2.00,1.66,1.73,"209,145","10,574,100" 208 | "Mar 11, 2017",1.65,2.04,1.65,1.88,"329,288","8,976,540" 209 | "Mar 10, 2017",1.57,1.96,1.57,1.65,"231,193","8,538,000" 210 | "Mar 09, 2017",0.910759,6.90,0.904785,1.57,"391,543","4,953,980" 211 | "Mar 08, 2017",0.928324,2.29,0.892919,0.910482,"80,489","5,043,800" 212 | "Mar 07, 2017",0.929928,0.965031,0.902599,0.928556,"112,631","5,046,350" 213 | "Mar 06, 2017",0.877932,0.948389,0.877303,0.929657,"144,511","4,758,800" 214 | "Mar 05, 2017",0.860446,0.890336,0.854322,0.877690,"99,353","4,658,870" 215 | "Mar 04, 2017",0.876560,0.901431,0.848197,0.861036,"118,768","4,741,050" 216 | "Mar 03, 2017",0.849622,0.897957,0.849622,0.874886,"133,898","4,588,430" 217 | "Mar 02, 2017",0.843463,0.867530,0.833101,0.849830,"112,199","4,549,750" 218 | "Mar 01, 2017",0.804026,0.847651,0.803913,0.841962,"94,260","4,332,560" 219 | "Feb 28, 2017",0.805227,0.831538,0.797892,0.803977,"107,824","4,333,750" 220 | "Feb 27, 2017",0.798417,0.819324,0.798143,0.804716,"71,439","4,292,460" 221 | "Feb 26, 2017",0.780171,0.814878,0.769603,0.799392,"75,564","4,190,100" 222 | "Feb 25, 2017",0.798545,0.821233,0.764979,0.779878,"96,943","4,283,810" 223 | "Feb 24, 2017",0.720091,0.833797,0.710127,0.800726,"80,798","3,858,450" 224 | "Feb 23, 2017",0.750903,0.800626,0.697684,0.716413,"104,601","4,018,590" 225 | "Feb 22, 2017",0.765145,0.800321,0.663462,0.751017,"102,991","4,088,710" 226 | "Feb 21, 2017",0.743569,0.788681,0.742046,0.765488,"46,477","3,968,830" 227 | "Feb 20, 2017",0.722645,0.744402,0.718499,0.744051,"79,052","3,845,050" 228 | "Feb 19, 2017",0.723668,0.759755,0.718855,0.722082,"17,807","3,840,990" 229 | "Feb 18, 2017",0.714177,0.770619,0.712649,0.723435,"69,567","3,786,090" 230 | "Feb 17, 2017",0.737502,0.765716,0.711911,0.712135,"73,305","3,905,080" 231 | "Feb 16, 2017",0.726066,0.762640,0.725988,0.738451,"64,234","3,839,920" 232 | "Feb 15, 2017",0.731512,0.748031,0.721461,0.725943,"84,565","3,864,230" 233 | "Feb 14, 2017",0.711982,0.744774,0.665671,0.730306,"84,926","3,756,710" 234 | "Feb 13, 2017",0.696483,0.718306,0.615641,0.711195,"100,391","3,670,810" 235 | "Feb 12, 2017",0.701552,0.724620,0.693313,0.696708,"90,321","3,693,230" 236 | "Feb 11, 2017",0.634346,0.728807,0.621720,0.702202,"73,165","3,335,540" 237 | "Feb 10, 2017",0.567441,0.652978,0.546511,0.634202,"136,220","2,979,990" 238 | "Feb 09, 2017",0.574614,0.635086,0.529744,0.566729,"40,765","3,013,100" 239 | "Feb 08, 2017",0.425789,0.620504,0.425789,0.573734,"97,396","2,230,210" 240 | "Feb 07, 2017",0.447859,0.516073,0.422868,0.425400,"65,544","2,343,170" 241 | "Feb 06, 2017",0.465675,0.531860,0.445042,0.447002,"92,361","2,372,230" 242 | "Feb 05, 2017",0.568783,0.594951,0.465195,0.465195,"22,814","2,893,950" 243 | "Feb 04, 2017",0.513954,0.618865,0.511836,0.568446,"41,471","2,611,770" 244 | "Feb 03, 2017",0.424369,0.616739,0.423258,0.513246,"104,851","2,151,070" 245 | "Feb 02, 2017",0.376986,0.510052,0.374696,0.424510,"49,021","1,908,590" 246 | "Feb 01, 2017",0.234603,0.625286,0.234330,0.380666,"70,857","1,186,290" 247 | "Jan 31, 2017",0.201900,0.248894,0.192904,0.234476,"38,955","1,019,790" 248 | "Jan 30, 2017",0.183540,0.211474,0.183411,0.201773,"25,986","926,047" 249 | "Jan 29, 2017",0.185211,0.191636,0.178000,0.183409,"10,832","933,414" 250 | "Jan 28, 2017",0.167891,0.191118,0.167889,0.185115,"12,342","845,152" 251 | "Jan 27, 2017",0.162051,0.242873,0.151854,0.167880,"24,828","814,864" 252 | "Jan 26, 2017",0.154363,0.179255,0.147483,0.161915,"9,966","775,361" 253 | "Jan 25, 2017",0.142849,0.313312,0.142811,0.154217,"14,945","716,763" 254 | "Jan 24, 2017",0.152959,0.671748,0.134264,0.142972,"33,237","766,670" 255 | "Jan 23, 2017",0.128182,0.156983,0.126968,0.154695,"6,921","641,762" 256 | "Jan 22, 2017",0.174903,0.178088,0.123697,0.128067,526,"874,666" 257 | "Jan 21, 2017",0.145710,0.236289,0.144554,0.174829,"12,872","727,753" 258 | "Jan 20, 2017",0.162671,0.166808,0.145625,0.145625,"5,978","812,236" 259 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/iota_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",0.577182,0.582044,0.516038,0.561712,"13,709,400","1,604,290,000" 3 | "Oct 02, 2017",0.618180,0.622090,0.565055,0.575398,"13,928,300","1,718,250,000" 4 | "Oct 01, 2017",0.621750,0.628776,0.592742,0.610183,"8,576,220","1,728,170,000" 5 | "Sep 30, 2017",0.584318,0.646884,0.576150,0.620822,"21,825,700","1,624,130,000" 6 | "Sep 29, 2017",0.595143,0.609587,0.543016,0.584418,"16,689,800","1,654,220,000" 7 | "Sep 28, 2017",0.549661,0.614313,0.528270,0.595896,"23,776,300","1,527,800,000" 8 | "Sep 27, 2017",0.514224,0.554709,0.507709,0.551005,"12,188,400","1,429,300,000" 9 | "Sep 26, 2017",0.556670,0.560043,0.507645,0.515205,"14,671,500","1,547,280,000" 10 | "Sep 25, 2017",0.524449,0.566395,0.524449,0.556207,"10,506,400","1,457,720,000" 11 | "Sep 24, 2017",0.540538,0.541688,0.506966,0.521379,"9,199,830","1,502,440,000" 12 | "Sep 23, 2017",0.507613,0.551145,0.494903,0.541796,"8,486,720","1,410,930,000" 13 | "Sep 22, 2017",0.499185,0.517458,0.476075,0.506010,"8,860,800","1,387,500,000" 14 | "Sep 21, 2017",0.567586,0.569993,0.467953,0.500724,"18,553,300","1,577,620,000" 15 | "Sep 20, 2017",0.559849,0.585680,0.543853,0.566627,"8,802,430","1,556,120,000" 16 | "Sep 19, 2017",0.608275,0.614231,0.555303,0.565168,"12,972,000","1,690,720,000" 17 | "Sep 18, 2017",0.496796,0.612485,0.496796,0.606233,"28,609,000","1,380,860,000" 18 | "Sep 17, 2017",0.484758,0.505875,0.462614,0.497046,"7,574,760","1,347,400,000" 19 | "Sep 16, 2017",0.479385,0.510361,0.453232,0.487239,"13,452,000","1,332,470,000" 20 | "Sep 15, 2017",0.445700,0.509332,0.372595,0.480510,"41,983,100","1,238,840,000" 21 | "Sep 14, 2017",0.565841,0.573630,0.445019,0.445019,"25,946,400","1,572,770,000" 22 | "Sep 13, 2017",0.592512,0.595366,0.479349,0.556820,"31,807,500","1,646,910,000" 23 | "Sep 12, 2017",0.561696,0.647193,0.557297,0.591949,"43,345,900","1,561,250,000" 24 | "Sep 11, 2017",0.498380,0.558273,0.481498,0.558273,"23,660,500","1,385,260,000" 25 | "Sep 10, 2017",0.561304,0.567870,0.462834,0.495607,"32,733,100","1,560,160,000" 26 | "Sep 09, 2017",0.525939,0.583964,0.524823,0.560809,"15,317,400","1,461,860,000" 27 | "Sep 08, 2017",0.648249,0.660258,0.490346,0.540475,"48,691,600","1,801,830,000" 28 | "Sep 07, 2017",0.739668,0.739668,0.622366,0.645758,"31,377,000","2,055,930,000" 29 | "Sep 06, 2017",0.613529,0.749172,0.601484,0.741663,"33,093,300","1,705,320,000" 30 | "Sep 05, 2017",0.544132,0.646085,0.468949,0.613085,"45,817,500","1,512,430,000" 31 | "Sep 04, 2017",0.744257,0.744257,0.406795,0.566472,"74,601,300","2,068,680,000" 32 | "Sep 03, 2017",0.698855,0.775863,0.672850,0.743968,"29,504,600","1,942,490,000" 33 | "Sep 02, 2017",0.796560,0.802464,0.658006,0.695547,"39,333,900","2,214,060,000" 34 | "Sep 01, 2017",0.842867,0.879100,0.768119,0.807778,"28,047,000","2,342,770,000" 35 | "Aug 31, 2017",0.869553,0.902074,0.828224,0.842424,"15,194,300","2,416,950,000" 36 | "Aug 30, 2017",0.812777,0.878203,0.792339,0.869647,"17,428,100","2,259,140,000" 37 | "Aug 29, 2017",0.876892,0.877578,0.746405,0.811961,"28,538,500","2,437,350,000" 38 | "Aug 28, 2017",0.922464,0.927742,0.784779,0.875197,"24,288,200","2,564,020,000" 39 | "Aug 27, 2017",0.962058,0.979088,0.887365,0.920351,"17,816,000","2,674,070,000" 40 | "Aug 26, 2017",0.915926,0.970068,0.877886,0.962213,"16,623,100","2,545,840,000" 41 | "Aug 25, 2017",0.894733,0.934651,0.837866,0.919635,"18,226,300","2,486,940,000" 42 | "Aug 24, 2017",0.854043,0.895101,0.813880,0.895101,"17,132,900","2,373,840,000" 43 | "Aug 23, 2017",0.842517,0.940389,0.834667,0.850371,"27,418,300","2,341,800,000" 44 | "Aug 22, 2017",0.901778,0.901778,0.786259,0.843775,"26,333,800","2,506,520,000" 45 | "Aug 21, 2017",0.907423,0.939166,0.843577,0.906269,"32,558,600","2,522,210,000" 46 | "Aug 20, 2017",0.971222,1.02,0.939619,0.942205,"29,447,600","2,699,540,000" 47 | "Aug 19, 2017",0.871580,0.985748,0.778133,0.978521,"39,975,500","2,422,580,000" 48 | "Aug 18, 2017",1.01,1.03,0.774400,0.870147,"58,053,400","2,819,080,000" 49 | "Aug 17, 2017",1.04,1.10,0.998241,1.02,"58,209,300","2,904,020,000" 50 | "Aug 16, 2017",0.914727,1.05,0.878567,1.05,"52,081,500","2,542,510,000" 51 | "Aug 15, 2017",0.977320,0.995791,0.767236,0.917949,"84,698,300","2,716,490,000" 52 | "Aug 14, 2017",0.811738,0.976404,0.793682,0.976404,"54,630,900","2,256,250,000" 53 | "Aug 13, 2017",0.722169,0.829530,0.715382,0.807713,"41,198,400","2,007,290,000" 54 | "Aug 12, 2017",0.655191,0.727960,0.625521,0.721535,"20,358,000","1,821,120,000" 55 | "Aug 11, 2017",0.565525,0.710585,0.557827,0.654872,"43,618,800","1,571,890,000" 56 | "Aug 10, 2017",0.535805,0.588071,0.513250,0.566456,"16,602,500","1,489,290,000" 57 | "Aug 09, 2017",0.547121,0.555125,0.512566,0.543328,"13,294,400","1,520,740,000" 58 | "Aug 08, 2017",0.473874,0.550880,0.458992,0.547637,"21,988,500","1,317,150,000" 59 | "Aug 07, 2017",0.430804,0.491028,0.418088,0.474577,"14,717,700","1,197,430,000" 60 | "Aug 06, 2017",0.407690,0.440193,0.396851,0.431142,"6,276,510","1,133,190,000" 61 | "Aug 05, 2017",0.393176,0.427798,0.364083,0.407980,"9,091,140","1,092,850,000" 62 | "Aug 04, 2017",0.332239,0.420252,0.332239,0.391286,"20,179,000","923,468,000" 63 | "Aug 03, 2017",0.286578,0.336844,0.284765,0.332352,"8,239,810","796,552,000" 64 | "Aug 02, 2017",0.290135,0.293039,0.272032,0.286116,"3,439,800","806,440,000" 65 | "Aug 01, 2017",0.256665,0.296267,0.249623,0.290220,"5,169,910","713,408,000" 66 | "Jul 31, 2017",0.255064,0.259810,0.245768,0.254732,"2,563,820","708,959,000" 67 | "Jul 30, 2017",0.277339,0.279401,0.252831,0.254785,"3,165,840","770,872,000" 68 | "Jul 29, 2017",0.266567,0.277226,0.245848,0.275190,"2,788,270","740,931,000" 69 | "Jul 28, 2017",0.274876,0.278459,0.262736,0.265118,"2,884,740","764,026,000" 70 | "Jul 27, 2017",0.276850,0.285551,0.275467,0.275467,"3,343,540","769,512,000" 71 | "Jul 26, 2017",0.250571,0.283478,0.241237,0.274598,"4,626,790","696,469,000" 72 | "Jul 25, 2017",0.266827,0.269072,0.237998,0.250453,"2,917,500","741,654,000" 73 | "Jul 24, 2017",0.265136,0.273468,0.242731,0.266447,"4,502,060","736,952,000" 74 | "Jul 23, 2017",0.273693,0.280241,0.258485,0.269072,"3,065,860","760,738,000" 75 | "Jul 22, 2017",0.263390,0.278936,0.254406,0.273382,"4,107,430","732,099,000" 76 | "Jul 21, 2017",0.294760,0.305506,0.257626,0.264134,"6,344,870","819,295,000" 77 | "Jul 20, 2017",0.233503,0.298253,0.232192,0.292460,"10,332,500","649,028,000" 78 | "Jul 19, 2017",0.268162,0.284031,0.230686,0.232212,"6,339,730","745,365,000" 79 | "Jul 18, 2017",0.264569,0.309577,0.248754,0.267340,"11,433,600","735,378,000" 80 | "Jul 17, 2017",0.180717,0.278088,0.179114,0.263105,"15,254,300","502,309,000" 81 | "Jul 16, 2017",0.157961,0.185445,0.155173,0.180978,"4,178,170","439,057,000" 82 | "Jul 15, 2017",0.175237,0.176099,0.147933,0.158688,"3,913,220","487,076,000" 83 | "Jul 14, 2017",0.212999,0.214112,0.161877,0.175350,"3,347,860","592,038,000" 84 | "Jul 13, 2017",0.229099,0.238625,0.194249,0.214589,"4,129,150","636,787,000" 85 | "Jul 12, 2017",0.191125,0.237362,0.183955,0.228758,"4,646,480","531,237,000" 86 | "Jul 11, 2017",0.214742,0.231574,0.185681,0.187596,"6,946,200","596,881,000" 87 | "Jul 10, 2017",0.304476,0.304476,0.190539,0.217061,"8,233,640","846,301,000" 88 | "Jul 09, 2017",0.297377,0.312770,0.285475,0.302889,"2,474,500","826,569,000" 89 | "Jul 08, 2017",0.286164,0.320908,0.281393,0.305515,"3,273,950","795,402,000" 90 | "Jul 07, 2017",0.355803,0.355994,0.271859,0.284565,"8,804,780","988,966,000" 91 | "Jul 06, 2017",0.380253,0.382865,0.317295,0.353880,"8,218,370","1,056,920,000" 92 | "Jul 05, 2017",0.396273,0.400841,0.371809,0.380130,"3,061,100","1,101,450,000" 93 | "Jul 04, 2017",0.374900,0.410698,0.373865,0.396390,"3,933,710","1,042,050,000" 94 | "Jul 03, 2017",0.379055,0.384955,0.356024,0.376139,"3,873,180","1,053,600,000" 95 | "Jul 02, 2017",0.391880,0.396890,0.366798,0.382249,"2,971,770","1,089,240,000" 96 | "Jul 01, 2017",0.402295,0.414192,0.381489,0.389630,"2,334,640","1,118,190,000" 97 | "Jun 30, 2017",0.417167,0.453008,0.398195,0.401591,"5,044,270","1,159,530,000" 98 | "Jun 29, 2017",0.375767,0.459387,0.361568,0.417798,"5,324,020","1,044,460,000" 99 | "Jun 28, 2017",0.399874,0.399874,0.357338,0.379136,"4,704,400","1,111,460,000" 100 | "Jun 27, 2017",0.411989,0.420035,0.353549,0.392269,"4,411,090","1,145,140,000" 101 | "Jun 26, 2017",0.470192,0.473662,0.351156,0.402438,"9,101,080","1,306,910,000" 102 | "Jun 25, 2017",0.514185,0.525564,0.454951,0.470941,"5,012,890","1,429,190,000" 103 | "Jun 24, 2017",0.482769,0.635612,0.482769,0.512910,"19,215,500","1,341,870,000" 104 | "Jun 23, 2017",0.417769,0.480910,0.408405,0.480910,"3,768,560","1,161,200,000" 105 | "Jun 22, 2017",0.413371,0.427283,0.407261,0.417742,"2,343,320","1,148,980,000" 106 | "Jun 21, 2017",0.419439,0.437340,0.405037,0.413547,"3,999,810","1,165,840,000" 107 | "Jun 20, 2017",0.414299,0.422032,0.398649,0.418494,"3,755,470","1,151,560,000" 108 | "Jun 19, 2017",0.405456,0.420990,0.388231,0.412183,"3,543,640","1,126,980,000" 109 | "Jun 18, 2017",0.420597,0.426069,0.393790,0.405862,"2,514,450","1,169,060,000" 110 | "Jun 17, 2017",0.426762,0.444205,0.414139,0.419906,"3,100,660","1,186,200,000" 111 | "Jun 16, 2017",0.353285,0.448249,0.309852,0.410757,"6,920,690","981,966,000" 112 | "Jun 15, 2017",0.528284,0.543165,0.300365,0.363661,"10,300,400","1,468,380,000" 113 | "Jun 14, 2017",0.592347,0.606196,0.495745,0.528916,"14,194,900","1,646,450,000" 114 | "Jun 13, 2017",0.638503,0.652862,0.533910,0.590255,"25,425,600","1,774,740,000" 115 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/neo_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",36.65,36.79,32.01,33.61,"74,199,600","1,832,530,000" 3 | "Oct 02, 2017",35.70,39.01,34.90,36.74,"116,098,000","1,785,160,000" 4 | "Oct 01, 2017",34.12,35.83,31.82,35.72,"72,169,500","1,705,880,000" 5 | "Sep 30, 2017",28.59,34.24,28.45,34.21,"82,181,600","1,429,500,000" 6 | "Sep 29, 2017",30.25,30.41,26.13,28.64,"72,558,300","1,512,530,000" 7 | "Sep 28, 2017",31.78,32.69,27.68,29.76,"101,195,000","1,589,170,000" 8 | "Sep 27, 2017",26.32,34.03,26.32,31.79,"163,163,000","1,316,040,000" 9 | "Sep 26, 2017",26.12,27.30,24.46,26.38,"65,868,600","1,305,990,000" 10 | "Sep 25, 2017",19.80,27.08,19.80,26.02,"81,225,500","989,892,000" 11 | "Sep 24, 2017",20.17,20.43,19.28,19.79,"11,967,200","1,008,660,000" 12 | "Sep 23, 2017",18.58,20.59,18.30,20.18,"17,216,800","929,086,000" 13 | "Sep 22, 2017",17.39,19.32,16.98,18.69,"22,480,200","869,657,000" 14 | "Sep 21, 2017",19.65,19.82,16.75,17.45,"21,587,400","982,515,000" 15 | "Sep 20, 2017",19.90,20.47,19.69,19.75,"14,058,200","995,012,000" 16 | "Sep 19, 2017",20.99,21.71,19.04,19.94,"30,451,900","1,049,420,000" 17 | "Sep 18, 2017",19.91,21.38,19.54,21.22,"27,647,600","995,579,000" 18 | "Sep 17, 2017",20.64,20.64,18.36,19.86,"18,695,100","1,031,920,000" 19 | "Sep 16, 2017",18.75,22.98,18.50,20.76,"50,210,000","937,288,000" 20 | "Sep 15, 2017",15.81,19.12,13.32,18.74,"50,811,700","790,612,000" 21 | "Sep 14, 2017",20.08,20.75,14.95,15.69,"42,221,500","1,004,180,000" 22 | "Sep 13, 2017",20.83,21.29,17.80,20.06,"37,258,400","1,041,450,000" 23 | "Sep 12, 2017",21.87,23.60,19.86,20.97,"40,702,300","1,093,590,000" 24 | "Sep 11, 2017",22.68,23.97,21.70,21.88,"27,835,300","1,133,790,000" 25 | "Sep 10, 2017",21.76,23.64,19.37,22.75,"54,002,500","1,088,180,000" 26 | "Sep 09, 2017",24.63,24.63,21.55,21.96,"47,199,500","1,231,580,000" 27 | "Sep 08, 2017",30.59,30.59,22.41,24.86,"112,252,000","1,529,630,000" 28 | "Sep 07, 2017",21.30,33.55,20.54,30.78,"214,001,000","1,065,110,000" 29 | "Sep 06, 2017",22.97,24.32,20.30,21.36,"77,746,300","1,148,320,000" 30 | "Sep 05, 2017",21.88,23.85,18.93,22.80,"91,402,300","1,093,860,000" 31 | "Sep 04, 2017",30.44,30.44,17.40,21.83,"189,917,000","1,522,090,000" 32 | "Sep 03, 2017",31.77,32.65,28.58,30.32,"43,232,300","1,588,690,000" 33 | "Sep 02, 2017",31.69,34.81,28.55,31.72,"92,722,600","1,584,390,000" 34 | "Sep 01, 2017",33.17,33.57,28.87,32.01,"75,418,900","1,658,680,000" 35 | "Aug 31, 2017",32.93,35.09,32.60,33.16,"49,957,300","1,646,720,000" 36 | "Aug 30, 2017",33.48,35.84,29.71,33.10,"97,289,600","1,673,910,000" 37 | "Aug 29, 2017",38.46,38.46,30.69,33.66,"168,534,000","1,922,840,000" 38 | "Aug 28, 2017",40.23,40.31,37.38,38.45,"41,401,000","2,011,600,000" 39 | "Aug 27, 2017",38.58,41.23,37.42,40.09,"50,649,600","1,928,770,000" 40 | "Aug 26, 2017",40.31,40.52,37.70,38.59,"41,017,800","2,015,360,000" 41 | "Aug 25, 2017",41.96,42.26,39.78,40.30,"47,772,200","2,098,230,000" 42 | "Aug 24, 2017",39.92,42.13,39.31,42.05,"63,875,500","1,996,230,000" 43 | "Aug 23, 2017",35.83,44.03,35.25,40.00,"131,763,000","1,791,670,000" 44 | "Aug 22, 2017",35.16,36.17,31.60,35.85,"68,265,300","1,758,180,000" 45 | "Aug 21, 2017",38.04,38.28,34.15,35.30,"85,955,000","1,902,060,000" 46 | "Aug 20, 2017",39.63,40.65,38.16,38.19,"85,862,200","1,981,640,000" 47 | "Aug 19, 2017",38.86,42.22,35.40,39.97,"168,358,000","1,943,180,000" 48 | "Aug 18, 2017",40.85,41.16,31.32,38.85,"209,845,000","2,042,450,000" 49 | "Aug 17, 2017",45.72,46.34,38.91,40.69,"191,410,000","2,286,130,000" 50 | "Aug 16, 2017",46.98,51.24,44.69,45.54,"170,273,000","2,349,050,000" 51 | "Aug 15, 2017",47.50,47.99,39.52,47.49,"262,801,000","2,375,010,000" 52 | "Aug 14, 2017",47.63,52.02,44.79,47.43,"343,705,000","2,381,360,000" 53 | "Aug 13, 2017",36.86,52.63,35.32,46.65,"448,654,000","1,843,040,000" 54 | "Aug 12, 2017",33.16,37.37,30.45,36.61,"177,772,000","1,657,810,000" 55 | "Aug 11, 2017",36.32,39.13,27.58,33.50,"382,070,000","1,815,780,000" 56 | "Aug 10, 2017",21.68,38.44,21.36,36.18,"360,125,000","1,084,180,000" 57 | "Aug 09, 2017",18.34,21.94,17.46,21.75,"116,795,000","917,009,000" 58 | "Aug 08, 2017",18.73,19.34,15.59,18.27,"124,589,000","936,705,000" 59 | "Aug 07, 2017",15.20,20.24,14.36,18.68,"166,514,000","759,959,000" 60 | "Aug 06, 2017",14.17,16.19,13.42,15.21,"81,450,800","708,471,000" 61 | "Aug 05, 2017",10.39,14.95,10.24,14.02,"82,680,400","519,506,000" 62 | "Aug 04, 2017",10.84,11.22,9.97,10.43,"56,285,500","541,832,000" 63 | "Aug 03, 2017",8.19,10.70,8.06,10.67,"49,848,800","409,434,000" 64 | "Aug 02, 2017",7.85,8.30,7.71,8.11,"17,559,000","392,732,000" 65 | "Aug 01, 2017",7.36,8.20,6.96,7.86,"18,527,900","368,123,000" 66 | "Jul 31, 2017",7.16,7.43,7.02,7.33,"10,856,600","358,222,000" 67 | "Jul 30, 2017",7.27,7.30,6.94,7.15,"9,006,030","363,345,000" 68 | "Jul 29, 2017",7.09,7.46,6.76,7.26,"10,518,400","354,258,000" 69 | "Jul 28, 2017",7.75,7.88,6.93,7.09,"15,725,800","387,410,000" 70 | "Jul 27, 2017",7.22,7.94,7.13,7.72,"15,251,100","360,772,000" 71 | "Jul 26, 2017",7.33,7.59,6.58,7.17,"16,765,600","366,562,000" 72 | "Jul 25, 2017",8.48,8.48,6.88,7.35,"19,480,400","423,876,000" 73 | "Jul 24, 2017",8.61,8.81,8.19,8.46,"21,283,700","430,471,000" 74 | "Jul 23, 2017",8.64,8.93,7.76,8.57,"29,915,100","431,881,000" 75 | "Jul 22, 2017",7.39,9.12,7.31,8.62,"32,890,800","369,727,000" 76 | "Jul 21, 2017",7.24,7.97,7.03,7.42,"21,298,000","361,826,000" 77 | "Jul 20, 2017",5.89,7.47,5.89,7.21,"25,476,100","294,317,000" 78 | "Jul 19, 2017",6.04,6.23,5.65,5.88,"14,255,500","301,935,000" 79 | "Jul 18, 2017",5.77,6.29,5.51,6.02,"18,101,700","288,470,000" 80 | "Jul 17, 2017",5.06,5.85,5.03,5.77,"15,013,000","253,054,000" 81 | "Jul 16, 2017",5.03,5.27,4.83,5.04,"9,498,420","251,399,000" 82 | "Jul 15, 2017",5.55,5.55,4.98,5.03,"11,294,200","277,400,000" 83 | "Jul 14, 2017",6.27,6.29,5.42,5.54,"12,351,000","313,433,000" 84 | "Jul 13, 2017",6.68,6.95,5.91,6.29,"17,824,000","334,240,000" 85 | "Jul 12, 2017",5.31,6.69,5.07,6.63,"23,337,300","265,564,000" 86 | "Jul 11, 2017",5.93,6.11,4.83,5.40,"20,182,900","296,309,000" 87 | "Jul 10, 2017",6.91,6.96,5.58,6.03,"11,395,300","345,719,000" 88 | "Jul 09, 2017",7.40,7.62,6.87,6.90,"10,422,500","370,072,000" 89 | "Jul 08, 2017",6.79,7.63,5.91,7.45,"24,138,500","339,382,000" 90 | "Jul 07, 2017",7.83,7.89,6.74,6.77,"16,409,500","391,569,000" 91 | "Jul 06, 2017",7.98,8.34,7.69,7.84,"17,932,500","399,093,000" 92 | "Jul 05, 2017",7.77,8.66,7.23,8.03,"29,368,100","388,453,000" 93 | "Jul 04, 2017",8.22,8.49,7.77,7.78,"15,781,600","410,831,000" 94 | "Jul 03, 2017",8.06,8.48,7.52,8.22,"28,820,400","402,786,000" 95 | "Jul 02, 2017",7.96,8.51,6.75,8.10,"47,478,700","397,988,000" 96 | "Jul 01, 2017",8.77,9.24,7.74,7.95,"33,128,400","438,293,000" 97 | "Jun 30, 2017",9.72,10.00,8.60,8.73,"43,355,500","485,988,000" 98 | "Jun 29, 2017",8.34,10.07,7.91,9.77,"77,050,000","416,970,000" 99 | "Jun 28, 2017",6.96,8.69,6.49,8.38,"72,982,300","347,826,000" 100 | "Jun 27, 2017",5.35,7.26,5.09,6.83,"71,029,700","267,538,000" 101 | "Jun 26, 2017",5.95,6.22,4.42,5.53,"27,615,900","297,587,000" 102 | "Jun 25, 2017",6.29,6.46,5.66,5.95,"24,890,900","314,543,000" 103 | "Jun 24, 2017",6.87,7.11,6.25,6.30,"33,359,500","343,738,000" 104 | "Jun 23, 2017",6.92,7.43,5.78,6.84,"67,033,300","346,025,000" 105 | "Jun 22, 2017",10.16,10.51,6.90,6.94,"115,249,000","507,921,000" 106 | "Jun 21, 2017",8.04,10.21,7.81,10.15,"88,374,400","401,956,000" 107 | "Jun 20, 2017",11.79,11.79,7.87,8.00,"126,661,000","589,390,000" 108 | "Jun 19, 2017",5.46,11.81,5.46,11.72,"281,341,000","273,011,000" 109 | "Jun 18, 2017",3.79,5.26,3.47,5.26,"61,381,000","189,717,000" 110 | "Jun 17, 2017",2.80,4.18,2.70,3.76,"82,601,000","139,894,000" 111 | "Jun 16, 2017",1.80,2.81,1.72,2.77,"45,782,200","90,202,000" 112 | "Jun 15, 2017",1.74,1.84,1.54,1.78,"9,550,940","86,947,000" 113 | "Jun 14, 2017",1.81,1.94,1.68,1.74,"10,497,200","90,657,000" 114 | "Jun 13, 2017",1.50,1.86,1.50,1.81,"10,456,500","75,221,500" 115 | "Jun 12, 2017",1.67,1.69,1.40,1.51,"7,492,490","83,716,000" 116 | "Jun 11, 2017",1.69,1.73,1.52,1.67,"6,479,410","84,426,000" 117 | "Jun 10, 2017",1.54,2.07,1.53,1.68,"17,295,300","77,129,000" 118 | "Jun 09, 2017",1.36,1.59,1.33,1.55,"9,728,020","67,874,000" 119 | "Jun 08, 2017",1.27,1.36,1.19,1.36,"7,118,290","63,677,000" 120 | "Jun 07, 2017",1.34,1.36,1.27,1.28,"2,994,510","66,929,500" 121 | "Jun 06, 2017",1.28,1.37,1.20,1.34,"5,234,170","63,757,000" 122 | "Jun 05, 2017",1.27,1.35,1.25,1.28,"3,876,920","63,267,500" 123 | "Jun 04, 2017",1.25,1.32,1.22,1.26,"2,572,220","62,425,500" 124 | "Jun 03, 2017",1.36,1.36,1.15,1.26,"4,049,740","68,122,000" 125 | "Jun 02, 2017",1.25,1.40,1.18,1.35,"7,157,890","62,290,500" 126 | "Jun 01, 2017",1.03,1.30,1.01,1.24,"8,061,920","51,383,000" 127 | "May 31, 2017",1.02,1.08,0.966531,1.03,"3,001,020","51,167,000" 128 | "May 30, 2017",0.975403,1.13,0.970573,1.02,"5,393,720","48,770,200" 129 | "May 29, 2017",0.921727,0.974728,0.873447,0.966765,"2,171,000","46,086,400" 130 | "May 28, 2017",0.989557,1.07,0.814832,0.930106,"5,133,830","49,477,900" 131 | "May 27, 2017",0.806824,1.03,0.598245,0.982348,"7,025,920","40,341,200" 132 | "May 26, 2017",1.11,1.22,0.694110,0.826549,"6,847,940","55,293,000" 133 | "May 25, 2017",1.74,1.74,1.01,1.11,"12,458,000","87,149,500" 134 | "May 24, 2017",0.878954,1.90,0.863444,1.76,"22,900,400","43,947,700" 135 | "May 23, 2017",0.721726,0.901805,0.695115,0.877157,"3,858,760","36,086,300" 136 | "May 22, 2017",0.682007,0.742591,0.669175,0.720486,"2,331,300","34,100,400" 137 | "May 21, 2017",0.665434,0.744667,0.618864,0.664141,"2,621,930","33,271,700" 138 | "May 20, 2017",0.638148,0.671513,0.612225,0.665485,"1,476,170","31,907,400" 139 | "May 19, 2017",0.539752,0.682251,0.539752,0.631860,"1,884,600","26,987,600" 140 | "May 18, 2017",0.533423,0.552265,0.514519,0.539481,"1,201,540","26,671,200" 141 | "May 17, 2017",0.464285,0.531643,0.454101,0.531643,"1,328,670","23,214,200" 142 | "May 16, 2017",0.474567,0.474567,0.452551,0.463667,"637,204","23,728,400" 143 | "May 15, 2017",0.477364,0.493300,0.454150,0.470057,"897,219","23,868,200" 144 | "May 14, 2017",0.483372,0.490861,0.473253,0.477543,"501,693","24,168,600" 145 | "May 13, 2017",0.487873,0.491284,0.451528,0.484544,"616,908","24,393,600" 146 | "May 12, 2017",0.480874,0.508175,0.469682,0.487684,"548,028","24,043,700" 147 | "May 11, 2017",0.504314,0.520573,0.431391,0.481077,"953,152","25,215,700" 148 | "May 10, 2017",0.449260,0.541055,0.449260,0.503894,"843,243","22,463,000" 149 | "May 09, 2017",0.496131,0.501255,0.407576,0.449370,"1,076,450","24,806,600" 150 | "May 08, 2017",0.530300,0.542761,0.486931,0.496572,"1,025,750","26,515,000" 151 | "May 07, 2017",0.585263,0.591143,0.516306,0.535792,"1,249,060","29,263,200" 152 | "May 06, 2017",0.572854,0.590350,0.537649,0.587670,"1,341,720","28,642,700" 153 | "May 05, 2017",0.493833,0.576426,0.470129,0.576426,"2,660,100","24,691,600" 154 | "May 04, 2017",0.345096,0.500403,0.334537,0.500309,"2,317,450","17,254,800" 155 | "May 03, 2017",0.314746,0.348589,0.309078,0.343782,"758,237","15,737,300" 156 | "May 02, 2017",0.319147,0.326074,0.280153,0.314833,"588,824","15,957,400" 157 | "May 01, 2017",0.361689,0.361689,0.269563,0.318838,"1,142,050","18,084,400" 158 | "Apr 30, 2017",0.271731,0.362409,0.268994,0.360099,"1,631,520","13,586,500" 159 | "Apr 29, 2017",0.229612,0.290570,0.221128,0.271729,"960,013","11,480,600" 160 | "Apr 28, 2017",0.202194,0.229271,0.201420,0.229255,"473,689","10,109,700" 161 | "Apr 27, 2017",0.184394,0.208510,0.181833,0.202092,"327,972","9,219,700" 162 | "Apr 26, 2017",0.183475,0.188085,0.179909,0.184577,"185,400","9,173,750" 163 | "Apr 25, 2017",0.173606,0.184094,0.166802,0.183504,"241,805","8,680,300" 164 | "Apr 24, 2017",0.177077,0.177153,0.163354,0.173758,"262,706","8,853,850" 165 | "Apr 23, 2017",0.180684,0.185985,0.169937,0.174960,"175,678","9,034,200" 166 | "Apr 22, 2017",0.178943,0.188524,0.173304,0.183058,"288,119","8,947,150" 167 | "Apr 21, 2017",0.184685,0.185694,0.174442,0.178122,"263,127","9,234,250" 168 | "Apr 20, 2017",0.189534,0.191015,0.178645,0.184725,"222,525","9,476,700" 169 | "Apr 19, 2017",0.180622,0.190709,0.178089,0.189408,"297,302","9,031,100" 170 | "Apr 18, 2017",0.191910,0.192224,0.176355,0.180479,"348,694","9,595,500" 171 | "Apr 17, 2017",0.191583,0.192535,0.179468,0.191489,"331,308","9,579,150" 172 | "Apr 16, 2017",0.193672,0.195650,0.188923,0.192076,"167,886","9,683,600" 173 | "Apr 15, 2017",0.192991,0.194574,0.190452,0.192164,"76,566","9,649,550" 174 | "Apr 14, 2017",0.191540,0.193960,0.190495,0.192958,"103,138","9,577,000" 175 | "Apr 13, 2017",0.193966,0.196013,0.190089,0.191686,"147,722","9,698,300" 176 | "Apr 12, 2017",0.198357,0.200199,0.191723,0.195553,"192,252","9,917,850" 177 | "Apr 11, 2017",0.209023,0.211772,0.189697,0.197826,"257,457","10,451,200" 178 | "Apr 10, 2017",0.188842,0.220733,0.186149,0.207874,"208,420","9,442,100" 179 | "Apr 09, 2017",0.189679,0.191026,0.186312,0.188861,"97,362","9,483,950" 180 | "Apr 08, 2017",0.189456,0.193674,0.188398,0.190221,"54,654","9,472,800" 181 | "Apr 07, 2017",0.187871,0.192661,0.184796,0.188531,"81,618","9,393,550" 182 | "Apr 06, 2017",0.184767,0.190455,0.184234,0.186430,"82,505","9,238,350" 183 | "Apr 05, 2017",0.185082,0.192548,0.182758,0.184719,"102,043","9,254,100" 184 | "Apr 04, 2017",0.199874,0.202591,0.181038,0.185002,"148,096","9,993,700" 185 | "Apr 03, 2017",0.205808,0.205959,0.196132,0.199703,"104,805","10,290,400" 186 | "Apr 02, 2017",0.203584,0.206776,0.200261,0.205480,"102,369","10,179,200" 187 | "Apr 01, 2017",0.203606,0.206153,0.194440,0.205017,"109,993","10,180,300" 188 | "Mar 31, 2017",0.210236,0.213953,0.196505,0.203541,"291,529","10,511,800" 189 | "Mar 30, 2017",0.212468,0.221930,0.206085,0.210556,"504,940","10,623,400" 190 | "Mar 29, 2017",0.220650,0.225506,0.205719,0.212428,"335,567","11,032,500" 191 | "Mar 28, 2017",0.186277,0.235749,0.180596,0.220632,"821,674","9,313,850" 192 | "Mar 27, 2017",0.161165,0.191642,0.160717,0.186426,"201,563","8,058,250" 193 | "Mar 26, 2017",0.167267,0.175043,0.158772,0.160384,"37,656","8,363,350" 194 | "Mar 25, 2017",0.166941,0.167388,0.157475,0.167305,"47,641","8,347,050" 195 | "Mar 24, 2017",0.166412,0.178022,0.159289,0.166465,"52,184","8,320,600" 196 | "Mar 23, 2017",0.173183,0.176421,0.156976,0.166412,"38,169","8,659,150" 197 | "Mar 22, 2017",0.164951,0.179551,0.159475,0.173143,"157,814","8,247,550" 198 | "Mar 21, 2017",0.153972,0.167727,0.150715,0.164934,"234,287","7,698,600" 199 | "Mar 20, 2017",0.157444,0.162542,0.149597,0.153898,"68,539","7,872,200" 200 | "Mar 19, 2017",0.159019,0.163016,0.149322,0.157560,"68,673","7,950,950" 201 | "Mar 18, 2017",0.140006,0.172281,0.140006,0.158987,"188,985","7,000,300" 202 | "Mar 17, 2017",0.131324,0.166127,0.122856,0.139902,"63,413","6,566,200" 203 | "Mar 16, 2017",0.128773,0.136685,0.125514,0.131867,"20,678","6,438,650" 204 | "Mar 15, 2017",0.133699,0.140774,0.128158,0.128653,"16,169","6,684,950" 205 | "Mar 14, 2017",0.136986,0.137204,0.127028,0.133681,"23,746","6,849,300" 206 | "Mar 13, 2017",0.140799,0.140823,0.127288,0.136979,"23,196","7,039,950" 207 | "Mar 12, 2017",0.142217,0.143570,0.131473,0.140575,"36,588","7,110,850" 208 | "Mar 11, 2017",0.131403,0.142793,0.129965,0.142142,"32,281","6,570,150" 209 | "Mar 10, 2017",0.132107,0.141972,0.120088,0.131476,"34,319","6,605,350" 210 | "Mar 09, 2017",0.116266,0.140766,0.114151,0.132026,"21,035","5,813,300" 211 | "Mar 08, 2017",0.122602,0.128715,0.116242,0.116242,"5,536","6,130,100" 212 | "Mar 07, 2017",0.123459,0.123531,0.116952,0.122573,"8,291","6,172,950" 213 | "Mar 06, 2017",0.121782,0.124417,0.118414,0.123450,"10,659","6,089,100" 214 | "Mar 05, 2017",0.119821,0.123680,0.116513,0.121757,"4,192","5,991,050" 215 | "Mar 04, 2017",0.122602,0.125583,0.117666,0.119901,"6,235","6,130,100" 216 | "Mar 03, 2017",0.119272,0.124929,0.118119,0.122444,"9,499","5,963,600" 217 | "Mar 02, 2017",0.135408,0.135475,0.115596,0.119301,"8,963","6,770,400" 218 | "Mar 01, 2017",0.117455,0.135197,0.113717,0.135197,"12,914","5,872,750" 219 | "Feb 28, 2017",0.115442,0.118271,0.113307,0.117443,"19,659","5,772,100" 220 | "Feb 27, 2017",0.115234,0.118632,0.109630,0.115376,"8,960","5,761,700" 221 | "Feb 26, 2017",0.114553,0.115582,0.104331,0.114986,"8,433","5,727,650" 222 | "Feb 25, 2017",0.120864,0.121660,0.110955,0.114526,"9,339","6,043,200" 223 | "Feb 24, 2017",0.119243,0.136124,0.086475,0.121185,"17,386","5,962,150" 224 | "Feb 23, 2017",0.121958,0.122226,0.114699,0.118724,"6,304","6,097,900" 225 | "Feb 22, 2017",0.124515,0.124515,0.115683,0.121959,"6,903","6,225,750" 226 | "Feb 21, 2017",0.121400,0.127322,0.114101,0.121561,"14,370","6,070,000" 227 | "Feb 20, 2017",0.123001,0.127204,0.116679,0.121475,"10,971","6,150,050" 228 | "Feb 19, 2017",0.124522,0.124827,0.117671,0.122905,"4,321","6,226,100" 229 | "Feb 18, 2017",0.122901,0.130873,0.119005,0.124431,"13,458","6,145,050" 230 | "Feb 17, 2017",0.125972,0.130485,0.115022,0.122661,"28,259","6,298,600" 231 | "Feb 16, 2017",0.112739,0.126088,0.112574,0.126088,"10,795","5,636,950" 232 | "Feb 15, 2017",0.116744,0.120698,0.111437,0.112729,"5,690","5,837,200" 233 | "Feb 14, 2017",0.118339,0.121985,0.114384,0.116603,"6,788","5,916,950" 234 | "Feb 13, 2017",0.121530,0.137720,0.118105,0.118286,"6,977","6,076,500" 235 | "Feb 12, 2017",0.125493,0.137479,0.117401,0.121566,"3,330","6,274,650" 236 | "Feb 11, 2017",0.125788,0.127159,0.122483,0.125607,743,"6,289,400" 237 | "Feb 10, 2017",0.127540,0.131710,0.117976,0.125761,"2,605","6,377,000" 238 | "Feb 09, 2017",0.129684,0.132791,0.118249,0.127476,"10,870","6,484,200" 239 | "Feb 08, 2017",0.133244,0.134031,0.121542,0.129568,"8,268","6,662,200" 240 | "Feb 07, 2017",0.126972,0.136817,0.126972,0.133135,"5,302","6,348,600" 241 | "Feb 06, 2017",0.131717,0.138723,0.125146,0.126788,"10,498","6,585,850" 242 | "Feb 05, 2017",0.135944,0.143104,0.128306,0.131582,"2,685","6,797,200" 243 | "Feb 04, 2017",0.134385,0.147454,0.132960,0.135867,"10,217","6,719,250" 244 | "Feb 03, 2017",0.145650,0.145650,0.132985,0.134264,"9,702","7,282,500" 245 | "Feb 02, 2017",0.147206,0.147974,0.134287,0.145699,"2,973","7,360,300" 246 | "Feb 01, 2017",0.147034,0.150287,0.140878,0.147218,"4,496","7,351,700" 247 | "Jan 31, 2017",0.153713,0.153791,0.144326,0.147016,"17,416","7,685,650" 248 | "Jan 30, 2017",0.141147,0.153760,0.140489,0.153760,"9,285","7,057,350" 249 | "Jan 29, 2017",0.138097,0.141860,0.132053,0.141204,"11,695","6,904,850" 250 | "Jan 28, 2017",0.130334,0.137387,0.125774,0.134674,"7,066","6,516,700" 251 | "Jan 27, 2017",0.129894,0.135296,0.128775,0.130343,"9,238","6,494,700" 252 | "Jan 26, 2017",0.124319,0.135711,0.120759,0.133612,"7,694","6,215,950" 253 | "Jan 25, 2017",0.120212,0.129256,0.115434,0.124216,"6,427","6,010,600" 254 | "Jan 24, 2017",0.128569,0.128569,0.113295,0.120213,"7,139","6,428,450" 255 | "Jan 23, 2017",0.114416,0.130461,0.111428,0.129948,"7,175","5,720,800" 256 | "Jan 22, 2017",0.116306,0.119379,0.109804,0.114313,"6,468","5,815,300" 257 | "Jan 21, 2017",0.117955,0.127853,0.114241,0.116309,"15,335","5,897,750" 258 | "Jan 20, 2017",0.116596,0.124276,0.111754,0.117809,"16,255","5,829,800" 259 | "Jan 19, 2017",0.123035,0.123948,0.116102,0.116619,"14,984","6,151,750" 260 | "Jan 18, 2017",0.116816,0.123035,0.115687,0.123035,"7,457","5,840,800" 261 | "Jan 17, 2017",0.119675,0.122525,0.114662,0.116638,"7,960","5,983,750" 262 | "Jan 16, 2017",0.123730,0.123958,0.118628,0.119649,"5,112","6,186,500" 263 | "Jan 15, 2017",0.122904,0.132022,0.117124,0.123732,"6,954","6,145,200" 264 | "Jan 14, 2017",0.121337,0.123940,0.116299,0.122939,"9,262","6,066,850" 265 | "Jan 13, 2017",0.124106,0.124342,0.113803,0.121321,"50,365","6,205,300" 266 | "Jan 12, 2017",0.115137,0.124128,0.109263,0.124122,"59,945","5,756,850" 267 | "Jan 11, 2017",0.133970,0.134950,0.112802,0.115138,"120,522","6,698,500" 268 | "Jan 10, 2017",0.123761,0.139550,0.123113,0.133864,"126,915","6,188,050" 269 | "Jan 09, 2017",0.132630,0.133670,0.117667,0.123767,"90,000","6,631,500" 270 | "Jan 08, 2017",0.128325,0.134773,0.127755,0.132609,"69,033","6,416,250" 271 | "Jan 07, 2017",0.135505,0.135759,0.125106,0.131104,"53,818","6,775,250" 272 | "Jan 06, 2017",0.131087,0.139018,0.131087,0.135472,"54,666","6,554,350" 273 | "Jan 05, 2017",0.136797,0.143977,0.126582,0.131070,"206,224","6,839,850" 274 | "Jan 04, 2017",0.140294,0.142834,0.134433,0.136734,"94,045","7,014,700" 275 | "Jan 03, 2017",0.145645,0.147282,0.139653,0.140422,"90,544","7,282,250" 276 | "Jan 02, 2017",0.141841,0.147746,0.141841,0.145642,"75,921","7,092,050" 277 | "Jan 01, 2017",0.144763,0.147274,0.139742,0.141841,"63,512","7,238,150" 278 | "Dec 31, 2016",0.147526,0.148837,0.142705,0.144763,"61,000","7,376,300" 279 | "Dec 30, 2016",0.143599,0.148070,0.136893,0.147527,"69,464","7,179,950" 280 | "Dec 29, 2016",0.150688,0.151915,0.140106,0.140950,"100,992","7,534,400" 281 | "Dec 28, 2016",0.158032,0.162041,0.145990,0.150689,"118,030","7,901,600" 282 | "Dec 27, 2016",0.166600,0.177395,0.153932,0.158032,"265,268","8,330,000" 283 | "Dec 26, 2016",0.146785,0.182563,0.141148,0.166597,"579,250","7,339,250" 284 | "Dec 25, 2016",0.144213,0.153788,0.141296,0.146788,"239,670","7,210,650" 285 | "Dec 24, 2016",0.139545,0.151804,0.136822,0.146916,"132,934","6,977,250" 286 | "Dec 23, 2016",0.155059,0.157925,0.131227,0.137593,"187,645","7,752,950" 287 | "Dec 22, 2016",0.166441,0.184986,0.147481,0.155065,"544,880","8,322,050" 288 | "Dec 21, 2016",0.120868,0.168983,0.118599,0.167117,"635,204","6,043,400" 289 | "Dec 20, 2016",0.121536,0.124127,0.115108,0.120868,"73,913","6,076,800" 290 | "Dec 19, 2016",0.115260,0.121812,0.106848,0.121387,"55,326","5,763,000" 291 | "Dec 18, 2016",0.105842,0.117273,0.101063,0.115260,"37,746","5,292,100" 292 | "Dec 17, 2016",0.114445,0.115568,0.101740,0.105842,"62,650","5,722,250" 293 | "Dec 16, 2016",0.109869,0.118707,0.109327,0.114432,"49,515","5,493,450" 294 | "Dec 15, 2016",0.121012,0.123902,0.109819,0.109837,"38,086","6,050,600" 295 | "Dec 14, 2016",0.127930,0.127930,0.120364,0.121008,"50,948","6,396,500" 296 | "Dec 13, 2016",0.133035,0.136888,0.125618,0.127959,"30,845","6,651,750" 297 | "Dec 12, 2016",0.122082,0.140238,0.122082,0.129977,"57,019","6,104,100" 298 | "Dec 11, 2016",0.125352,0.128221,0.120730,0.122134,"41,967","6,267,600" 299 | "Dec 10, 2016",0.130952,0.132206,0.124770,0.125328,"37,027","6,547,600" 300 | "Dec 09, 2016",0.134409,0.136923,0.129699,0.130070,"54,783","6,720,450" 301 | "Dec 08, 2016",0.137448,0.138971,0.134429,0.134429,"31,065","6,872,400" 302 | "Dec 07, 2016",0.136196,0.142794,0.134726,0.137450,"51,152","6,809,800" 303 | "Dec 06, 2016",0.138960,0.141810,0.135703,0.136097,"54,376","6,948,000" 304 | "Dec 05, 2016",0.147270,0.147270,0.138194,0.141459,"71,656","7,363,500" 305 | "Dec 04, 2016",0.142444,0.157052,0.142444,0.147170,"109,462","7,122,200" 306 | "Dec 03, 2016",0.141987,0.144054,0.136455,0.142444,"121,437","7,099,350" 307 | "Dec 02, 2016",0.140119,0.145737,0.138452,0.141991,"69,742","7,005,950" 308 | "Dec 01, 2016",0.144522,0.144846,0.138559,0.140114,"62,769","7,226,100" 309 | "Nov 30, 2016",0.149963,0.150848,0.140499,0.144636,"63,418","7,498,150" 310 | "Nov 29, 2016",0.167861,0.167909,0.141612,0.149953,"121,979","8,393,050" 311 | "Nov 28, 2016",0.173073,0.175046,0.166608,0.167994,"92,873","8,653,650" 312 | "Nov 27, 2016",0.174134,0.179557,0.173007,0.173050,"34,618","8,706,700" 313 | "Nov 26, 2016",0.174608,0.185637,0.173892,0.174141,"53,456","8,730,400" 314 | "Nov 25, 2016",0.171903,0.191663,0.171885,0.174514,"148,809","8,595,150" 315 | "Nov 24, 2016",0.167006,0.186579,0.165703,0.171955,"252,878","8,350,300" 316 | "Nov 23, 2016",0.168883,0.172495,0.166940,0.167085,"18,866","8,444,150" 317 | "Nov 22, 2016",0.173474,0.174220,0.167397,0.168892,"30,457","8,673,700" 318 | "Nov 21, 2016",0.171000,0.174966,0.169408,0.173476,"13,977","8,550,000" 319 | "Nov 20, 2016",0.169929,0.171309,0.161549,0.170999,"6,888","8,496,450" 320 | "Nov 19, 2016",0.172135,0.176490,0.168427,0.169928,"20,977","8,606,750" 321 | "Nov 18, 2016",0.173267,0.196769,0.169420,0.172177,"170,258","8,663,350" 322 | "Nov 17, 2016",0.162654,0.177109,0.162560,0.173280,"115,600","8,132,700" 323 | "Nov 16, 2016",0.173875,0.177754,0.153992,0.162529,"52,767","8,693,750" 324 | "Nov 15, 2016",0.183863,0.183864,0.172835,0.173875,"58,217","9,193,150" 325 | "Nov 14, 2016",0.170347,0.196291,0.168508,0.183786,"161,342","8,517,350" 326 | "Nov 13, 2016",0.168699,0.172853,0.163703,0.169917,"47,661","8,434,950" 327 | "Nov 12, 2016",0.172603,0.179612,0.166288,0.168695,"38,920","8,630,150" 328 | "Nov 11, 2016",0.168293,0.181036,0.165815,0.176226,"92,296","8,414,650" 329 | "Nov 10, 2016",0.159342,0.179854,0.154536,0.168272,"226,859","7,967,100" 330 | "Nov 09, 2016",0.161599,0.166946,0.156541,0.159859,"51,101","8,079,950" 331 | "Nov 08, 2016",0.173073,0.173376,0.160523,0.161594,"64,487","8,653,650" 332 | "Nov 07, 2016",0.163957,0.174019,0.143322,0.173087,"264,007","8,197,850" 333 | "Nov 06, 2016",0.160800,0.168170,0.156750,0.164002,"52,679","8,040,000" 334 | "Nov 05, 2016",0.175934,0.181375,0.156657,0.160797,"165,265","8,796,700" 335 | "Nov 04, 2016",0.173574,0.183584,0.168351,0.175917,"123,337","8,678,700" 336 | "Nov 03, 2016",0.197962,0.198170,0.155788,0.173534,"265,799","9,898,100" 337 | "Nov 02, 2016",0.214646,0.219169,0.191732,0.197941,"242,163","10,732,300" 338 | "Nov 01, 2016",0.228232,0.239149,0.204285,0.211322,"411,699","11,411,600" 339 | "Oct 31, 2016",0.181610,0.229291,0.177568,0.228251,"917,488","9,080,500" 340 | "Oct 30, 2016",0.172946,0.183820,0.170264,0.181026,"377,793","8,647,300" 341 | "Oct 29, 2016",0.151237,0.176248,0.151237,0.170166,"714,101","7,561,850" 342 | "Oct 28, 2016",0.127447,0.159842,0.123780,0.151552,"545,958","6,372,350" 343 | "Oct 27, 2016",0.129608,0.140409,0.124055,0.127426,"169,528","6,480,400" 344 | "Oct 26, 2016",0.135700,0.169630,0.121312,0.129615,"494,772","6,785,000" 345 | "Oct 25, 2016",0.093621,0.322439,0.092699,0.135712,"365,986",- 346 | "Oct 24, 2016",0.081000,0.100103,0.076476,0.093762,"522,611",- 347 | "Oct 23, 2016",0.081487,0.085211,0.076681,0.082726,"107,073",- 348 | "Oct 22, 2016",0.080197,0.096001,0.080013,0.081484,"293,121",- 349 | "Oct 21, 2016",0.092487,0.093918,0.072287,0.080181,"269,793",- 350 | "Oct 20, 2016",0.117083,0.117172,0.085342,0.092682,"286,750",- 351 | "Oct 19, 2016",0.197446,0.205554,0.111325,0.117084,"228,476",- 352 | "Oct 18, 2016",0.192736,0.289527,0.179325,0.197440,"406,917",- 353 | "Oct 17, 2016",0.175871,0.192747,0.175284,0.192747,"12,989",- 354 | "Oct 16, 2016",0.179883,0.190690,0.175885,0.175901,"16,019",- 355 | "Oct 15, 2016",0.191007,0.191007,0.179885,0.179885,596,- 356 | "Oct 14, 2016",0.185400,0.191090,0.176211,0.191014,"2,335",- 357 | "Oct 13, 2016",0.186072,0.186072,0.175498,0.185407,"1,318",- 358 | "Oct 12, 2016",0.193611,0.193611,0.175684,0.186052,"12,201",- 359 | "Oct 11, 2016",0.193114,0.195352,0.181615,0.193575,"5,949",- 360 | "Oct 10, 2016",0.186466,0.202517,0.180081,0.193108,"11,204",- 361 | "Oct 09, 2016",0.205045,0.205045,0.178857,0.186541,"30,052",- 362 | "Oct 08, 2016",0.202812,0.223037,0.185864,0.205229,"31,830",- 363 | "Oct 07, 2016",0.179898,0.202840,0.179898,0.202840,"5,785",- 364 | "Oct 06, 2016",0.289361,0.291334,0.180059,0.180059,"2,612",- 365 | "Oct 05, 2016",0.185765,0.289548,0.179917,0.289392,"1,864",- 366 | "Oct 04, 2016",0.178659,0.185843,0.178659,0.185843,506,- 367 | "Oct 03, 2016",0.177613,0.192425,0.177613,0.178713,913,- 368 | "Oct 02, 2016",0.202302,0.202303,0.177092,0.177279,"4,178",- 369 | "Oct 01, 2016",0.184979,0.216455,0.184979,0.202293,"2,748",- 370 | "Sep 30, 2016",0.191685,0.194601,0.180176,0.184939,"2,032",- 371 | "Sep 29, 2016",0.194845,0.208155,0.175516,0.191738,"11,050",- 372 | "Sep 28, 2016",0.197915,0.212750,0.184495,0.194798,"6,354",- 373 | "Sep 27, 2016",0.202473,0.202473,0.179976,0.197913,"19,806",- 374 | "Sep 26, 2016",0.199118,0.224506,0.193879,0.202491,"9,657",- 375 | "Sep 25, 2016",0.213843,0.224547,0.192797,0.198994,"3,075",- 376 | "Sep 24, 2016",0.243321,0.254850,0.213843,0.213843,"21,740",- 377 | "Sep 23, 2016",0.252745,0.277371,0.241462,0.243237,"16,845",- 378 | "Sep 22, 2016",0.303806,0.308768,0.252592,0.252723,"54,002",- 379 | "Sep 21, 2016",0.312539,0.318675,0.303564,0.303794,156,- 380 | "Sep 20, 2016",0.331291,0.336507,0.309502,0.312621,"1,171",- 381 | "Sep 19, 2016",0.384877,0.384881,0.331207,0.331296,"1,448",- 382 | "Sep 18, 2016",0.426591,0.427137,0.384916,0.384916,"105,159",- 383 | "Sep 17, 2016",0.388924,0.427314,0.388896,0.426568,"21,060",- 384 | "Sep 16, 2016",0.349726,0.389464,0.348948,0.388858,"15,105",- 385 | "Sep 15, 2016",0.325188,0.365124,0.325024,0.349832,"1,982",- 386 | "Sep 14, 2016",0.309516,0.337779,0.306223,0.325127,"4,129",- 387 | "Sep 13, 2016",0.374469,0.375092,0.301766,0.309509,"3,337",- 388 | "Sep 12, 2016",0.376312,0.376671,0.360443,0.374598,"1,116",- 389 | "Sep 11, 2016",0.390948,0.398459,0.372790,0.376150,879,- 390 | "Sep 10, 2016",0.558536,0.559143,0.370960,0.391001,811,- 391 | "Sep 09, 2016",0.181483,0.558951,0.181357,0.558478,"1,349",- 392 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/numeraire_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",14.95,15.10,13.39,13.81,"149,112","18,683,000" 3 | "Oct 02, 2017",16.36,16.92,13.96,14.79,"467,244","20,440,100" 4 | "Oct 01, 2017",14.72,17.08,13.45,16.36,"298,959","18,394,200" 5 | "Sep 30, 2017",14.73,15.57,14.54,14.56,"69,376","18,409,000" 6 | "Sep 29, 2017",15.41,15.42,14.08,14.73,"135,492","19,254,500" 7 | "Sep 28, 2017",17.02,17.05,14.99,15.42,"125,586","21,268,800" 8 | "Sep 27, 2017",15.03,17.19,14.70,16.91,"277,008","18,785,600" 9 | "Sep 26, 2017",15.38,15.73,14.77,15.15,"143,434","19,222,600" 10 | "Sep 25, 2017",15.53,16.09,14.24,15.34,"287,753","19,416,300" 11 | "Sep 24, 2017",13.73,16.62,13.20,15.53,"686,526","17,157,200" 12 | "Sep 23, 2017",13.00,14.00,12.79,13.73,"124,841","16,252,500" 13 | "Sep 22, 2017",13.15,13.91,12.73,13.16,"55,768","16,441,500" 14 | "Sep 21, 2017",15.15,15.15,12.78,13.17,"170,853","18,936,100" 15 | "Sep 20, 2017",15.58,16.12,14.75,15.22,"160,192","19,478,000" 16 | "Sep 19, 2017",17.00,17.00,15.31,15.60,"149,142","21,252,800" 17 | "Sep 18, 2017",16.56,17.95,15.42,16.96,"219,636","20,703,500" 18 | "Sep 17, 2017",15.52,16.81,14.72,16.59,"74,804","19,409,800" 19 | "Sep 16, 2017",17.03,17.03,14.92,15.54,"106,754","21,290,500" 20 | "Sep 15, 2017",13.53,17.18,12.28,17.07,"229,961","16,919,700" 21 | "Sep 14, 2017",17.15,17.49,13.43,13.43,"208,388","21,435,700" 22 | "Sep 13, 2017",18.93,18.93,15.94,17.12,"311,553","23,673,000" 23 | "Sep 12, 2017",19.24,20.09,17.44,19.09,"398,928","24,063,900" 24 | "Sep 11, 2017",21.48,21.48,18.04,18.98,"335,702","26,868,700" 25 | "Sep 10, 2017",23.04,27.28,19.26,21.24,"1,448,320","28,821,700" 26 | "Sep 09, 2017",19.17,25.34,17.42,22.97,"1,345,530","23,977,600" 27 | "Sep 08, 2017",21.53,23.25,18.28,19.13,"305,855","26,935,100" 28 | "Sep 07, 2017",22.34,23.16,20.41,21.53,"262,532","27,947,600" 29 | "Sep 06, 2017",21.64,26.31,20.75,22.38,"473,273","27,076,900" 30 | "Sep 05, 2017",20.87,23.62,18.91,21.53,"349,885","26,115,800" 31 | "Sep 04, 2017",26.91,27.34,17.99,20.74,"716,231","33,673,500" 32 | "Sep 03, 2017",27.70,29.36,24.99,26.90,"493,926","34,662,300" 33 | "Sep 02, 2017",32.49,33.01,26.79,27.24,"633,861","40,658,600" 34 | "Sep 01, 2017",35.67,35.90,31.35,32.45,"1,024,920","44,636,600" 35 | "Aug 31, 2017",35.78,36.60,34.27,35.62,"452,411","44,776,600" 36 | "Aug 30, 2017",34.89,38.40,34.61,35.84,"549,569","43,694,000" 37 | "Aug 29, 2017",36.12,36.84,34.43,34.92,"489,247","45,236,000" 38 | "Aug 28, 2017",35.56,36.20,34.11,36.07,"402,594","44,537,800" 39 | "Aug 27, 2017",35.16,36.33,34.05,35.53,"372,296","44,033,500" 40 | "Aug 26, 2017",35.31,37.01,33.54,34.93,"363,769","44,220,200" 41 | "Aug 25, 2017",35.51,37.67,32.94,35.24,"845,188","44,468,400" 42 | "Aug 24, 2017",35.60,37.29,34.84,35.39,"466,415","44,577,800" 43 | "Aug 23, 2017",35.53,38.34,34.85,36.49,"443,443","44,506,600" 44 | "Aug 22, 2017",34.75,37.23,31.91,35.61,"561,611","43,526,300" 45 | "Aug 21, 2017",42.41,48.73,33.48,34.58,"2,145,180","53,121,100" 46 | "Aug 20, 2017",34.73,43.36,32.52,42.53,"1,894,140","43,499,200" 47 | "Aug 19, 2017",35.56,37.01,31.60,34.84,"582,704","44,542,600" 48 | "Aug 18, 2017",34.17,39.43,31.88,35.03,"1,612,640","42,797,100" 49 | "Aug 17, 2017",33.79,36.14,31.85,33.92,"739,864","42,325,000" 50 | "Aug 16, 2017",31.27,37.92,30.37,33.62,"864,797","39,176,900" 51 | "Aug 15, 2017",34.85,36.10,30.67,31.23,"763,238","43,659,400" 52 | "Aug 14, 2017",36.80,38.09,32.76,34.65,"763,860","46,104,500" 53 | "Aug 13, 2017",43.83,46.78,33.13,36.78,"1,431,600","54,913,000" 54 | "Aug 12, 2017",34.64,47.85,32.80,43.37,"2,680,510","43,392,300" 55 | "Aug 11, 2017",26.46,41.47,26.06,33.64,"3,202,390","33,143,700" 56 | "Aug 10, 2017",28.84,29.21,26.46,26.46,"748,370","36,136,200" 57 | "Aug 09, 2017",27.96,33.04,26.79,29.24,"1,128,830","35,034,100" 58 | "Aug 08, 2017",27.86,28.34,25.22,27.97,"521,900","34,067,900" 59 | "Aug 07, 2017",28.32,30.01,26.70,27.93,"456,117","34,625,700" 60 | "Aug 06, 2017",29.42,29.76,27.60,28.38,"386,351","35,980,100" 61 | "Aug 05, 2017",26.66,30.41,26.59,29.25,"558,040","32,606,100" 62 | "Aug 04, 2017",26.80,28.27,26.47,26.63,"403,184","32,772,500" 63 | "Aug 03, 2017",26.26,28.38,25.59,27.17,"320,060","32,107,700" 64 | "Aug 02, 2017",26.15,29.96,24.75,26.23,"551,211","31,986,000" 65 | "Aug 01, 2017",25.65,30.04,24.18,26.17,"305,623","31,374,200" 66 | "Jul 31, 2017",26.01,26.47,24.69,25.28,"166,615","31,810,000" 67 | "Jul 30, 2017",25.88,27.32,24.76,26.51,"116,912","31,649,900" 68 | "Jul 29, 2017",25.28,26.29,24.13,25.87,"120,964","30,920,300" 69 | "Jul 28, 2017",27.72,28.26,24.15,25.37,"214,957","33,899,000" 70 | "Jul 27, 2017",27.48,28.43,26.25,27.64,"163,616","33,610,800" 71 | "Jul 26, 2017",27.65,28.93,24.75,26.97,"323,792","33,814,100" 72 | "Jul 25, 2017",33.69,33.89,25.92,27.29,"460,800","41,210,000" 73 | "Jul 24, 2017",33.01,36.16,32.04,33.69,"551,830","40,370,800" 74 | "Jul 23, 2017",36.59,37.54,32.41,32.89,"515,553","44,748,100" 75 | "Jul 22, 2017",34.14,41.15,33.96,36.59,"909,922","41,751,100" 76 | "Jul 21, 2017",35.87,38.40,33.27,34.14,"320,166","43,866,500" 77 | "Jul 20, 2017",27.93,39.44,26.73,35.54,"1,116,080","34,174,900" 78 | "Jul 19, 2017",25.08,35.93,23.53,28.23,"1,959,790","30,689,100" 79 | "Jul 18, 2017",23.11,29.48,20.47,25.31,"550,981","28,272,600" 80 | "Jul 17, 2017",17.46,22.79,17.46,22.69,"272,026","21,363,400" 81 | "Jul 16, 2017",18.99,20.06,16.54,17.49,"213,544","23,236,900" 82 | "Jul 15, 2017",23.20,23.24,18.69,19.05,"269,653","28,383,800" 83 | "Jul 14, 2017",26.80,27.67,21.18,23.24,"424,550","32,787,700" 84 | "Jul 13, 2017",30.83,31.24,25.64,26.82,"453,602","37,715,200" 85 | "Jul 12, 2017",20.32,32.90,18.75,30.71,"1,538,890","24,856,500" 86 | "Jul 11, 2017",23.53,26.49,18.33,20.73,"613,446","28,787,300" 87 | "Jul 10, 2017",28.65,31.54,20.99,24.04,"678,731","35,055,400" 88 | "Jul 09, 2017",27.54,30.14,26.83,28.29,"576,144","33,695,700" 89 | "Jul 08, 2017",28.99,30.77,23.66,27.51,"860,141","35,465,600" 90 | "Jul 07, 2017",36.08,36.88,25.44,29.39,"1,277,090","44,138,900" 91 | "Jul 06, 2017",38.60,39.21,32.20,35.79,"1,538,390","47,227,600" 92 | "Jul 05, 2017",39.39,41.59,37.64,39.03,"829,545","48,195,200" 93 | "Jul 04, 2017",41.60,43.46,37.38,39.42,"1,917,540","50,895,200" 94 | "Jul 03, 2017",43.17,46.92,41.41,41.69,"1,348,590","52,810,600" 95 | "Jul 02, 2017",43.12,54.01,39.95,42.87,"3,610,660","52,749,500" 96 | "Jul 01, 2017",34.19,68.93,33.29,45.26,"12,854,500","41,835,200" 97 | "Jun 30, 2017",42.26,43.96,29.13,34.20,"4,824,820","51,703,800" 98 | "Jun 29, 2017",53.26,53.26,38.82,42.89,"3,130,230","65,159,400" 99 | "Jun 28, 2017",51.92,58.38,46.21,53.07,"4,397,750","63,517,500" 100 | "Jun 27, 2017",59.82,62.31,36.29,53.05,"6,824,330","73,191,200" 101 | "Jun 26, 2017",88.17,98.78,49.70,59.90,"9,639,820","107,875,000" 102 | "Jun 25, 2017",103.21,168.49,72.49,86.55,"34,331,400","126,269,000" 103 | "Jun 24, 2017",44.48,116.40,42.04,101.83,"17,322,100","54,422,400" 104 | "Jun 23, 2017",35.05,48.58,17.67,45.63,"4,354,180",- 105 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/omisego_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",9.19,9.27,8.53,9.24,"35,595,500","903,903,000" 3 | "Oct 02, 2017",9.82,9.99,9.07,9.20,"36,673,900","965,225,000" 4 | "Oct 01, 2017",10.11,10.15,9.57,9.82,"21,494,500","994,233,000" 5 | "Sep 30, 2017",9.74,10.27,9.68,10.12,"26,871,400","957,899,000" 6 | "Sep 29, 2017",10.47,10.58,9.19,9.75,"51,306,900","1,029,050,000" 7 | "Sep 28, 2017",10.35,11.48,10.07,10.49,"66,693,200","1,017,090,000" 8 | "Sep 27, 2017",9.78,10.52,9.77,10.34,"38,915,800","961,863,000" 9 | "Sep 26, 2017",10.01,10.27,9.69,9.76,"26,920,700","984,356,000" 10 | "Sep 25, 2017",8.66,10.38,8.63,10.00,"59,857,600","851,863,000" 11 | "Sep 24, 2017",9.01,9.12,8.53,8.66,"19,730,500","885,388,000" 12 | "Sep 23, 2017",8.66,9.36,8.43,9.03,"28,436,100","851,587,000" 13 | "Sep 22, 2017",8.13,8.96,7.93,8.65,"42,277,500","799,239,000" 14 | "Sep 21, 2017",9.12,9.39,7.75,8.12,"51,911,500","897,056,000" 15 | "Sep 20, 2017",9.92,9.95,9.11,9.11,"36,072,700","975,691,000" 16 | "Sep 19, 2017",11.00,11.03,9.68,9.92,"38,392,200","1,081,420,000" 17 | "Sep 18, 2017",9.88,11.34,9.88,10.98,"54,086,300","971,499,000" 18 | "Sep 17, 2017",9.90,10.31,8.98,9.87,"40,154,600","973,696,000" 19 | "Sep 16, 2017",9.96,10.65,9.34,9.93,"66,155,100","979,204,000" 20 | "Sep 15, 2017",8.13,10.39,6.57,9.95,"156,528,000","798,813,000" 21 | "Sep 14, 2017",10.58,11.06,7.67,8.08,"95,558,500","1,040,220,000" 22 | "Sep 13, 2017",11.68,11.70,9.55,10.61,"85,896,500","1,148,450,000" 23 | "Sep 12, 2017",11.37,13.45,11.21,11.59,"130,591,000","1,117,370,000" 24 | "Sep 11, 2017",11.42,11.98,11.09,11.33,"37,733,800","1,122,960,000" 25 | "Sep 10, 2017",12.29,12.29,10.76,11.40,"53,265,800","1,207,860,000" 26 | "Sep 09, 2017",11.38,12.22,10.88,12.22,"63,245,300","1,118,990,000" 27 | "Sep 08, 2017",12.91,13.39,10.66,11.45,"99,091,800","1,268,790,000" 28 | "Sep 07, 2017",11.65,13.53,10.77,12.87,"153,192,000","1,145,440,000" 29 | "Sep 06, 2017",10.96,11.79,10.49,11.64,"95,001,000","1,077,300,000" 30 | "Sep 05, 2017",8.68,11.28,7.60,10.98,"111,430,000","852,870,000" 31 | "Sep 04, 2017",10.55,10.55,7.31,8.78,"159,979,000","1,037,440,000" 32 | "Sep 03, 2017",10.79,11.37,9.64,10.57,"68,616,800","1,060,760,000" 33 | "Sep 02, 2017",11.99,11.99,9.96,10.80,"93,561,000","1,178,610,000" 34 | "Sep 01, 2017",11.73,12.52,11.63,11.97,"91,962,400","1,153,390,000" 35 | "Aug 31, 2017",11.17,12.08,10.78,11.74,"89,710,200","1,098,470,000" 36 | "Aug 30, 2017",9.49,11.67,9.30,11.07,"194,613,000","932,958,000" 37 | "Aug 29, 2017",8.58,9.62,8.45,9.46,"86,155,000","843,249,000" 38 | "Aug 28, 2017",8.33,8.93,8.15,8.59,"52,390,300","819,005,000" 39 | "Aug 27, 2017",8.29,8.37,8.03,8.33,"22,915,000","815,412,000" 40 | "Aug 26, 2017",8.26,8.33,7.85,8.28,"25,661,900","812,289,000" 41 | "Aug 25, 2017",8.38,8.46,8.04,8.27,"24,205,300","823,620,000" 42 | "Aug 24, 2017",8.20,8.39,7.97,8.37,"31,284,200","806,267,000" 43 | "Aug 23, 2017",7.61,8.66,7.58,8.24,"64,455,600","748,515,000" 44 | "Aug 22, 2017",7.67,7.76,6.96,7.62,"41,423,400","753,880,000" 45 | "Aug 21, 2017",8.45,8.60,7.34,7.67,"71,569,400","830,536,000" 46 | "Aug 20, 2017",7.76,8.84,7.17,8.44,"74,687,700","762,542,000" 47 | "Aug 19, 2017",7.31,7.93,6.42,7.80,"70,997,400","718,510,000" 48 | "Aug 18, 2017",8.40,8.45,6.32,7.34,"104,224,000","825,591,000" 49 | "Aug 17, 2017",8.89,9.47,8.29,8.40,"131,488,000","873,548,000" 50 | "Aug 16, 2017",6.67,9.02,6.67,8.87,"204,580,000","655,537,000" 51 | "Aug 15, 2017",6.94,7.05,6.16,6.69,"67,045,700","682,506,000" 52 | "Aug 14, 2017",6.88,7.38,6.25,7.02,"85,191,300","676,804,000" 53 | "Aug 13, 2017",6.18,7.53,5.36,6.94,"128,909,000","607,772,000" 54 | "Aug 12, 2017",7.20,7.40,5.83,6.19,"87,590,300","707,779,000" 55 | "Aug 11, 2017",5.96,7.81,5.41,7.23,"200,287,000","586,021,000" 56 | "Aug 10, 2017",3.41,6.36,3.38,5.93,"234,693,000","335,183,000" 57 | "Aug 09, 2017",3.62,3.68,3.26,3.45,"24,783,900","355,440,000" 58 | "Aug 08, 2017",3.15,3.76,3.07,3.61,"49,778,700","309,766,000" 59 | "Aug 07, 2017",2.70,3.25,2.63,3.15,"34,417,900","265,138,000" 60 | "Aug 06, 2017",3.62,3.62,2.59,2.75,"39,669,900","356,183,000" 61 | "Aug 05, 2017",2.79,3.73,2.74,3.61,"95,593,700","274,109,000" 62 | "Aug 04, 2017",1.95,2.79,1.94,2.76,"44,051,500","192,003,000" 63 | "Aug 03, 2017",1.38,2.03,1.37,1.96,"18,348,800","135,528,000" 64 | "Aug 02, 2017",1.34,1.39,1.29,1.38,"3,708,080","131,707,000" 65 | "Aug 01, 2017",1.22,1.37,1.18,1.33,"4,360,060","120,415,000" 66 | "Jul 31, 2017",1.20,1.26,1.17,1.23,"2,153,100","118,309,000" 67 | "Jul 30, 2017",1.27,1.31,1.19,1.21,"1,749,290","124,645,000" 68 | "Jul 29, 2017",1.19,1.29,1.11,1.28,"2,651,230","116,968,000" 69 | "Jul 28, 2017",1.38,1.39,1.12,1.19,"5,438,700","135,475,000" 70 | "Jul 27, 2017",1.21,1.41,1.20,1.38,"5,379,280","118,718,000" 71 | "Jul 26, 2017",1.23,1.29,1.10,1.21,"4,740,910","121,110,000" 72 | "Jul 25, 2017",1.53,1.55,1.12,1.23,"8,132,390","150,667,000" 73 | "Jul 24, 2017",1.51,1.61,1.31,1.52,"12,526,000","148,581,000" 74 | "Jul 23, 2017",0.878973,1.59,0.850754,1.53,"15,198,100","86,413,600" 75 | "Jul 22, 2017",0.742038,0.886832,0.739422,0.878662,"3,596,130","72,951,200" 76 | "Jul 21, 2017",0.669754,0.786582,0.632858,0.753032,"2,140,420","65,844,800" 77 | "Jul 20, 2017",0.596119,0.717632,0.596119,0.659447,"3,376,440","58,605,700" 78 | "Jul 19, 2017",0.759290,0.797288,0.568905,0.583911,"4,236,020","74,647,300" 79 | "Jul 18, 2017",0.574224,0.894874,0.565539,0.759819,"8,394,650","56,453,100" 80 | "Jul 17, 2017",0.381684,0.598633,0.379345,0.582786,"4,273,090","37,524,100" 81 | "Jul 16, 2017",0.431081,0.494342,0.319695,0.384906,"1,743,630","42,380,400" 82 | "Jul 15, 2017",0.586446,0.652156,0.433351,0.433351,"1,552,730",- 83 | "Jul 14, 2017",0.534731,0.775406,0.500232,0.582480,"750,698",- 84 | -------------------------------------------------------------------------------- /simulator/environment/crptocurrencypricehistory/qtum_price.csv: -------------------------------------------------------------------------------- 1 | Date,Open,High,Low,Close,Volume,Market Cap 2 | "Oct 03, 2017",11.91,12.12,10.78,12.12,"95,756,400","702,872,000" 3 | "Oct 02, 2017",12.36,12.38,11.43,11.88,"69,789,000","729,062,000" 4 | "Oct 01, 2017",11.59,12.61,11.58,12.34,"162,762,000","683,566,000" 5 | "Sep 30, 2017",9.77,11.65,9.75,11.59,"141,320,000","576,371,000" 6 | "Sep 29, 2017",9.96,10.00,9.15,9.77,"79,526,300","587,845,000" 7 | "Sep 28, 2017",9.95,10.10,9.06,9.93,"95,333,300","586,983,000" 8 | "Sep 27, 2017",9.37,9.90,9.35,9.90,"59,847,700","552,811,000" 9 | "Sep 26, 2017",9.38,10.30,9.17,9.34,"104,988,000","553,598,000" 10 | "Sep 25, 2017",8.03,9.60,8.03,9.36,"82,385,100","473,818,000" 11 | "Sep 24, 2017",8.10,8.28,7.79,8.04,"28,266,800","477,945,000" 12 | "Sep 23, 2017",7.70,8.21,7.48,8.11,"40,760,800","454,162,000" 13 | "Sep 22, 2017",7.34,7.91,7.27,7.68,"42,861,600","433,000,000" 14 | "Sep 21, 2017",8.77,8.81,7.34,7.38,"38,239,000","517,612,000" 15 | "Sep 20, 2017",8.92,9.05,8.47,8.79,"38,916,900","526,414,000" 16 | "Sep 19, 2017",9.65,9.70,8.75,8.91,"66,250,600","569,633,000" 17 | "Sep 18, 2017",8.31,10.51,8.31,9.62,"167,586,000","490,417,000" 18 | "Sep 17, 2017",8.19,8.79,7.59,8.27,"69,847,200","482,927,000" 19 | "Sep 16, 2017",8.49,8.97,7.44,8.25,"97,992,200","500,809,000" 20 | "Sep 15, 2017",7.72,9.31,5.91,8.47,"242,984,000","455,212,000" 21 | "Sep 14, 2017",11.94,12.18,7.60,7.60,"137,040,000","704,415,000" 22 | "Sep 13, 2017",13.45,13.53,11.60,11.94,"185,348,000","793,825,000" 23 | "Sep 12, 2017",14.38,15.31,12.86,13.51,"156,187,000","848,364,000" 24 | "Sep 11, 2017",12.64,14.79,12.55,14.28,"165,283,000","745,787,000" 25 | "Sep 10, 2017",13.27,13.34,11.38,12.78,"172,687,000","783,150,000" 26 | "Sep 09, 2017",13.40,13.63,12.46,13.32,"99,008,100","790,322,000" 27 | "Sep 08, 2017",14.74,16.07,12.44,13.50,"294,169,000","869,878,000" 28 | "Sep 07, 2017",11.40,14.77,10.69,14.74,"195,986,000","672,888,000" 29 | "Sep 06, 2017",11.73,12.49,10.34,11.40,"141,347,000","691,921,000" 30 | "Sep 05, 2017",11.07,12.07,8.77,11.71,"218,917,000","653,177,000" 31 | "Sep 04, 2017",15.29,15.44,10.22,10.98,"161,203,000","902,407,000" 32 | "Sep 03, 2017",16.41,16.74,14.19,15.29,"98,105,400","967,971,000" 33 | "Sep 02, 2017",18.26,19.06,15.51,16.39,"123,479,000","1,077,370,000" 34 | "Sep 01, 2017",17.30,18.47,16.94,18.26,"73,618,500","1,020,980,000" 35 | "Aug 31, 2017",16.72,18.08,16.69,17.30,"76,872,500","986,295,000" 36 | "Aug 30, 2017",19.05,19.05,14.58,16.84,"145,512,000","1,124,200,000" 37 | "Aug 29, 2017",16.28,20.04,16.28,19.15,"216,784,000","960,486,000" 38 | "Aug 28, 2017",15.66,16.35,14.86,16.24,"82,850,200","923,722,000" 39 | "Aug 27, 2017",15.42,15.86,14.74,15.70,"56,474,400","909,788,000" 40 | "Aug 26, 2017",13.26,15.89,12.97,15.41,"88,172,500","782,374,000" 41 | "Aug 25, 2017",13.75,13.85,12.85,13.32,"26,327,100","811,035,000" 42 | "Aug 24, 2017",11.87,14.13,11.64,13.78,"72,955,500","700,167,000" 43 | "Aug 23, 2017",11.05,12.47,11.04,11.90,"36,722,000","651,839,000" 44 | "Aug 22, 2017",11.20,11.41,10.17,11.06,"25,086,300","660,585,000" 45 | "Aug 21, 2017",11.80,11.87,10.82,11.23,"29,380,800","696,434,000" 46 | "Aug 20, 2017",11.54,12.35,10.82,11.79,"40,638,800","680,885,000" 47 | "Aug 19, 2017",11.62,12.36,9.69,11.64,"54,327,300","685,316,000" 48 | "Aug 18, 2017",13.09,13.09,11.00,11.63,"43,226,400","772,302,000" 49 | "Aug 17, 2017",14.36,14.37,12.82,13.06,"50,489,100","847,017,000" 50 | "Aug 16, 2017",14.67,15.42,14.15,14.35,"59,126,000","865,463,000" 51 | "Aug 15, 2017",15.01,15.30,13.83,14.68,"62,353,100","885,415,000" 52 | "Aug 14, 2017",15.10,17.16,14.36,15.06,"103,750,000","890,836,000" 53 | "Aug 13, 2017",13.92,15.84,12.79,15.17,"75,650,500","821,280,000" 54 | "Aug 12, 2017",14.73,15.47,12.85,13.90,"59,321,200","868,962,000" 55 | "Aug 11, 2017",15.63,16.36,14.33,14.73,"91,215,900","922,433,000" 56 | "Aug 10, 2017",12.55,16.99,12.42,15.77,"133,259,000","740,715,000" 57 | "Aug 09, 2017",11.49,12.63,11.07,12.55,"52,016,000","677,866,000" 58 | "Aug 08, 2017",12.64,12.74,10.84,11.50,"63,155,600","746,010,000" 59 | "Aug 07, 2017",10.03,12.84,9.88,12.65,"95,630,200","591,790,000" 60 | "Aug 06, 2017",9.34,10.83,9.08,10.07,"54,977,800","550,855,000" 61 | "Aug 05, 2017",8.22,9.52,7.80,9.38,"42,482,900","484,803,000" 62 | "Aug 04, 2017",7.68,8.71,7.68,8.22,"31,879,600","452,969,000" 63 | "Aug 03, 2017",6.42,7.86,6.17,7.65,"30,278,900","378,741,000" 64 | "Aug 02, 2017",6.56,6.69,6.32,6.43,"11,978,000","387,234,000" 65 | "Aug 01, 2017",6.12,6.67,5.74,6.49,"20,864,300","361,165,000" 66 | "Jul 31, 2017",5.53,6.36,5.43,6.12,"13,123,400","326,029,000" 67 | "Jul 30, 2017",5.77,5.84,5.46,5.53,"3,168,030","340,554,000" 68 | "Jul 29, 2017",5.80,5.86,5.38,5.78,"5,188,990","342,217,000" 69 | "Jul 28, 2017",6.23,6.31,5.74,5.75,"7,599,310","367,403,000" 70 | "Jul 27, 2017",6.29,6.42,6.02,6.21,"10,757,800","370,867,000" 71 | "Jul 26, 2017",6.14,6.49,5.28,6.26,"20,824,500","362,203,000" 72 | "Jul 25, 2017",7.31,7.61,5.68,6.13,"22,782,500","372,639,000" 73 | "Jul 24, 2017",6.67,7.30,6.46,7.26,"12,601,300","339,927,000" 74 | "Jul 23, 2017",7.55,7.62,6.14,6.64,"23,752,700","385,277,000" 75 | "Jul 22, 2017",7.81,7.99,7.48,7.52,"16,650,500","398,441,000" 76 | "Jul 21, 2017",7.84,9.15,7.01,7.84,"48,210,600","399,824,000" 77 | "Jul 20, 2017",5.69,7.68,5.69,7.59,"33,148,900","289,993,000" 78 | "Jul 19, 2017",5.18,6.62,4.79,5.62,"29,526,300","264,087,000" 79 | "Jul 18, 2017",4.41,5.35,4.27,5.18,"16,788,400","224,792,000" 80 | "Jul 17, 2017",3.91,4.47,3.91,4.38,"7,531,300","199,276,000" 81 | "Jul 16, 2017",3.93,4.24,3.71,3.93,"5,467,430","200,412,000" 82 | "Jul 15, 2017",4.54,4.55,3.86,3.88,"6,403,170","231,785,000" 83 | "Jul 14, 2017",5.11,5.18,4.47,4.53,"6,385,700","260,726,000" 84 | "Jul 13, 2017",5.65,6.12,5.02,5.11,"8,076,010","288,266,000" 85 | "Jul 12, 2017",4.67,5.69,4.36,5.59,"11,808,500",- 86 | "Jul 11, 2017",5.23,5.42,3.89,4.82,"11,515,200",- 87 | "Jul 10, 2017",6.42,6.75,5.03,5.38,"5,648,270",- 88 | "Jul 09, 2017",6.91,7.58,6.35,6.36,"6,985,260",- 89 | "Jul 08, 2017",6.90,7.11,5.64,6.86,"12,481,200",- 90 | "Jul 07, 2017",8.73,8.75,6.67,6.87,"7,176,910",- 91 | "Jul 06, 2017",8.44,9.35,7.95,8.75,"13,670,300",- 92 | "Jul 05, 2017",9.33,9.33,7.96,8.30,"8,151,290",- 93 | "Jul 04, 2017",9.24,9.94,8.92,9.27,"8,178,690",- 94 | "Jul 03, 2017",9.33,10.08,8.56,9.19,"15,403,500",- 95 | "Jul 02, 2017",10.41,10.41,8.18,9.45,"23,967,300",- 96 | "Jul 01, 2017",11.96,12.12,10.37,10.39,"10,832,000",- 97 | "Jun 30, 2017",12.46,12.57,11.66,12.03,"14,022,600",- 98 | "Jun 29, 2017",14.09,14.09,12.33,12.48,"18,516,000",- 99 | "Jun 28, 2017",14.68,15.68,12.97,13.83,"40,650,500",- 100 | "Jun 27, 2017",12.27,15.19,11.94,14.47,"42,563,100",- 101 | "Jun 26, 2017",14.96,14.96,10.64,12.61,"25,803,900",- 102 | "Jun 25, 2017",16.34,16.70,14.36,14.92,"22,702,400",- 103 | "Jun 24, 2017",16.80,18.85,16.02,16.35,"34,660,100",- 104 | "Jun 23, 2017",12.13,18.58,11.97,16.99,"66,737,400",- 105 | "Jun 22, 2017",11.92,12.45,11.74,12.10,"16,740,600",- 106 | "Jun 21, 2017",11.40,12.55,11.38,11.83,"10,464,200",- 107 | "Jun 20, 2017",10.57,12.88,10.44,11.49,"22,123,200",- 108 | "Jun 19, 2017",10.49,11.30,10.26,10.59,"12,893,100",- 109 | "Jun 18, 2017",11.25,11.29,10.40,10.58,"5,475,110",- 110 | "Jun 17, 2017",11.24,11.45,11.02,11.25,"6,961,310",- 111 | "Jun 16, 2017",11.11,11.73,10.69,11.29,"7,179,610",- 112 | "Jun 15, 2017",11.80,11.80,9.80,11.11,"13,740,900",- 113 | "Jun 14, 2017",12.40,13.01,11.29,11.77,"18,671,800",- 114 | "Jun 13, 2017",11.06,12.52,10.97,12.42,"16,198,200",- 115 | "Jun 12, 2017",11.77,11.82,10.87,10.96,"8,663,550",- 116 | "Jun 11, 2017",11.36,12.23,11.10,11.76,"11,384,700",- 117 | "Jun 10, 2017",11.75,12.10,11.12,11.33,"14,370,200",- 118 | "Jun 09, 2017",12.35,13.12,11.30,11.74,"14,694,100",- 119 | "Jun 08, 2017",10.92,12.54,10.26,12.35,"12,978,300",- 120 | "Jun 07, 2017",11.57,11.86,10.93,10.97,"6,104,140",- 121 | "Jun 06, 2017",10.98,12.02,10.17,11.50,"11,135,000",- 122 | "Jun 05, 2017",12.13,12.58,10.88,11.17,"10,290,000",- 123 | "Jun 04, 2017",12.73,12.78,11.34,12.15,"15,253,900",- 124 | "Jun 03, 2017",13.17,13.70,11.39,12.54,"39,565,100",- 125 | "Jun 02, 2017",7.86,13.60,7.86,13.46,"54,232,400",- 126 | "Jun 01, 2017",4.86,8.37,4.78,7.79,"28,193,200",- 127 | "May 31, 2017",4.61,4.88,4.50,4.86,"3,011,070",- 128 | "May 30, 2017",4.62,5.07,4.53,4.65,"2,836,480",- 129 | "May 29, 2017",4.64,4.88,4.36,4.60,"2,205,420",- 130 | "May 28, 2017",4.86,5.06,4.19,4.62,"4,353,380",- 131 | "May 27, 2017",4.05,4.53,3.19,4.53,"7,046,840",- 132 | "May 26, 2017",4.66,5.33,3.39,4.10,"5,116,020",- 133 | "May 25, 2017",6.19,6.29,4.57,4.66,"6,211,020",- 134 | "May 24, 2017",6.42,6.76,5.68,6.19,"11,221,600",- 135 | -------------------------------------------------------------------------------- /simulator/environment/env.py: -------------------------------------------------------------------------------- 1 | ## to do: add side coin information! 2 | 3 | import os 4 | import pandas as pd 5 | import numpy as np 6 | 7 | 8 | available_coins = ["bitcoin_cash", "bitcoin", "bitconnect", "dash_price", "ethereum_classic", "ethereum", "iota", "litecoin", "monero", "nem", "neo", "numeraire", "omisego", "qtum", "ripple", "stratis", "waves"] 9 | 10 | 11 | class Coin: 12 | def __init__(self, coin_name="ethereum"): 13 | if coin_name not in available_coins: 14 | raise Exception("Bad coin name!") 15 | self.coin_name = coin_name 16 | self.series = pd.read_csv("%s/cryptocurrencypricehistory/%s_price.csv" % (os.path.dirname(os.path.abspath(__file__)), self.coin_name), parse_dates=["Date"]) 17 | ## reorder so that date increases 18 | self.series.index = self.series.sort_values(by=["Date"]).index 19 | self.series = self.series.sort_index() 20 | self.length = len(self.series.index) 21 | self.current_index = 0 22 | 23 | # stats 24 | self.rolling_mean = self.series["Close"].rolling(window=20,center=False).mean() 25 | self.rolling_std = self.series["Close"].rolling(window=20,center=False).std() 26 | self.upper_band = self.rolling_mean + 2*self.rolling_std 27 | self.lower_band = self.rolling_mean - 2*self.rolling_std 28 | 29 | 30 | def advance(self): 31 | if self.current_index+1 < self.length: 32 | self.current_index += 1 33 | data = self.series.loc[self.current_index] 34 | return data 35 | else: 36 | return None 37 | 38 | def advance_n_step(self, step): 39 | if self.current_index+step < self.length: 40 | self.current_index += step 41 | data = self.series.loc[self.current_index] 42 | return data 43 | else: 44 | return None 45 | 46 | def getCurrentValue(self): 47 | return self.series.loc[self.current_index]["Close"] 48 | 49 | def getCurrentRollingMean(self): 50 | return self.rolling_mean[self.current_index] 51 | 52 | def getCurrentRollingMean(self): 53 | return self.rolling_mean[self.current_index] 54 | 55 | 56 | def getCurrentBollingerBand(self): 57 | return self.upper_band[self.current_index], self.lower_band[self.current_index] 58 | 59 | -------------------------------------------------------------------------------- /simulator/environment/portfolio.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import numpy as np 3 | 4 | 5 | class Portfolio: 6 | def __init__(self, portfolio_cash=1000.0, coin=None): 7 | self.starting_cash = portfolio_cash 8 | self.coin = coin # note this is a coin obj 9 | self.portfolio_coin = 0 10 | self.portfolio_cash = portfolio_cash 11 | self.latest_coin_value = self.coin.getCurrentValue() 12 | 13 | def getCurrentValue(self): 14 | return self.portfolio_coin * self.coin.getCurrentValue() + self.portfolio_cash 15 | 16 | def getReturnsPercent(self): 17 | return 100 * (self.getCurrentValue() - self.starting_cash) / self.starting_cash 18 | 19 | def getCurrentHoldings(self): 20 | return "%.2f coins, %.2f cash, %.2f current value, %.2f percent returns" % (self.portfolio_coin, self.portfolio_cash, self.getCurrentValue(), self.getReturnsPercent()) 21 | 22 | def buy(self, coins_to_buy=0): 23 | current_price = self.coin.getCurrentValue() 24 | if not current_price: 25 | return 0 26 | amount_to_buy = min(self.portfolio_cash / current_price, coins_to_buy) 27 | self.portfolio_coin += amount_to_buy 28 | self.portfolio_cash -= amount_to_buy * current_price 29 | return amount_to_buy 30 | 31 | def sell(self, coins_to_sell=0): 32 | current_price = self.coin.getCurrentValue() 33 | if not current_price: 34 | return 0 35 | coin_to_sell = min(coins_to_sell, self.portfolio_coin) 36 | self.portfolio_coin -= coin_to_sell 37 | self.portfolio_cash += coin_to_sell * current_price 38 | return coin_to_sell 39 | 40 | coin_to_buy = min(self.portfolio_cash / current_price, coins_to_buy) 41 | self.portfolio_coin += coin_to_buy 42 | self.portfolio_cash -= coin_to_buy * current_price 43 | return coin_to_buy 44 | -------------------------------------------------------------------------------- /simulator/trade.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "## Coin" 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": 1, 13 | "metadata": { 14 | "collapsed": false 15 | }, 16 | "outputs": [], 17 | "source": [ 18 | "from environment.env import Coin\n", 19 | "from environment.portfolio import Portfolio" 20 | ] 21 | }, 22 | { 23 | "cell_type": "code", 24 | "execution_count": 2, 25 | "metadata": { 26 | "collapsed": false 27 | }, 28 | "outputs": [], 29 | "source": [ 30 | "coin = Coin(\"ethereum\")" 31 | ] 32 | }, 33 | { 34 | "cell_type": "code", 35 | "execution_count": 3, 36 | "metadata": { 37 | "collapsed": false 38 | }, 39 | "outputs": [ 40 | { 41 | "name": "stdout", 42 | "output_type": "stream", 43 | "text": [ 44 | "Date 2015-08-08 00:00:00\n", 45 | "Open 2.79\n", 46 | "High 2.8\n", 47 | "Low 0.714725\n", 48 | "Close 0.753325\n", 49 | "Volume 674,188\n", 50 | "Market Cap 167,911,000\n", 51 | "Name: 1, dtype: object\n", 52 | "Date 2015-08-09 00:00:00\n", 53 | "Open 0.706136\n", 54 | "High 0.87981\n", 55 | "Low 0.629191\n", 56 | "Close 0.701897\n", 57 | "Volume 532,170\n", 58 | "Market Cap 42,637,600\n", 59 | "Name: 2, dtype: object\n", 60 | "Date 2015-08-10 00:00:00\n", 61 | "Open 0.713989\n", 62 | "High 0.729854\n", 63 | "Low 0.636546\n", 64 | "Close 0.708448\n", 65 | "Volume 405,283\n", 66 | "Market Cap 43,130,000\n", 67 | "Name: 3, dtype: object\n" 68 | ] 69 | } 70 | ], 71 | "source": [ 72 | "print coin.advance()\n", 73 | "print coin.advance()\n", 74 | "print coin.advance()" 75 | ] 76 | }, 77 | { 78 | "cell_type": "code", 79 | "execution_count": 4, 80 | "metadata": { 81 | "collapsed": false 82 | }, 83 | "outputs": [ 84 | { 85 | "name": "stdout", 86 | "output_type": "stream", 87 | "text": [ 88 | "Date 2015-11-18 00:00:00\n", 89 | "Open 0.993214\n", 90 | "High 1.01\n", 91 | "Low 0.940516\n", 92 | "Close 0.993319\n", 93 | "Volume 681,104\n", 94 | "Market Cap 74,287,700\n", 95 | "Name: 103, dtype: object\n" 96 | ] 97 | } 98 | ], 99 | "source": [ 100 | "print coin.advance_n_step(100)" 101 | ] 102 | }, 103 | { 104 | "cell_type": "code", 105 | "execution_count": 5, 106 | "metadata": { 107 | "collapsed": false 108 | }, 109 | "outputs": [ 110 | { 111 | "name": "stdout", 112 | "output_type": "stream", 113 | "text": [ 114 | "0.993319\n" 115 | ] 116 | } 117 | ], 118 | "source": [ 119 | "print coin.getCurrentValue()" 120 | ] 121 | }, 122 | { 123 | "cell_type": "code", 124 | "execution_count": 6, 125 | "metadata": { 126 | "collapsed": false 127 | }, 128 | "outputs": [ 129 | { 130 | "name": "stdout", 131 | "output_type": "stream", 132 | "text": [ 133 | "0.9473916\n" 134 | ] 135 | } 136 | ], 137 | "source": [ 138 | "print coin.getCurrentRollingMean()" 139 | ] 140 | }, 141 | { 142 | "cell_type": "code", 143 | "execution_count": 7, 144 | "metadata": { 145 | "collapsed": false 146 | }, 147 | "outputs": [ 148 | { 149 | "name": "stdout", 150 | "output_type": "stream", 151 | "text": [ 152 | "(1.0801235379698135, 0.81465966203018547)\n" 153 | ] 154 | } 155 | ], 156 | "source": [ 157 | "print coin.getCurrentBollingerBand()" 158 | ] 159 | }, 160 | { 161 | "cell_type": "markdown", 162 | "metadata": {}, 163 | "source": [ 164 | "## Portfolio" 165 | ] 166 | }, 167 | { 168 | "cell_type": "code", 169 | "execution_count": 8, 170 | "metadata": { 171 | "collapsed": false 172 | }, 173 | "outputs": [], 174 | "source": [ 175 | "coin = Coin(\"ethereum\")\n", 176 | "portfolio = Portfolio(portfolio_cash=1000, coin=coin)" 177 | ] 178 | }, 179 | { 180 | "cell_type": "code", 181 | "execution_count": 9, 182 | "metadata": { 183 | "collapsed": false 184 | }, 185 | "outputs": [ 186 | { 187 | "name": "stdout", 188 | "output_type": "stream", 189 | "text": [ 190 | "0.00 coins, 1000.00 cash, 1000.00 current value, 0.00 percent returns\n" 191 | ] 192 | } 193 | ], 194 | "source": [ 195 | "print portfolio.getCurrentHoldings()" 196 | ] 197 | }, 198 | { 199 | "cell_type": "code", 200 | "execution_count": 10, 201 | "metadata": { 202 | "collapsed": false 203 | }, 204 | "outputs": [ 205 | { 206 | "name": "stdout", 207 | "output_type": "stream", 208 | "text": [ 209 | "100.00 coins, 723.00 cash, 1000.00 current value, 0.00 percent returns\n" 210 | ] 211 | } 212 | ], 213 | "source": [ 214 | "portfolio.buy(100)\n", 215 | "print portfolio.getCurrentHoldings()\n", 216 | "new_state = coin.advance()" 217 | ] 218 | }, 219 | { 220 | "cell_type": "code", 221 | "execution_count": 11, 222 | "metadata": { 223 | "collapsed": false 224 | }, 225 | "outputs": [ 226 | { 227 | "name": "stdout", 228 | "output_type": "stream", 229 | "text": [ 230 | "10.00 coins, 790.80 cash, 798.33 current value, -20.17 percent returns\n" 231 | ] 232 | } 233 | ], 234 | "source": [ 235 | "portfolio.sell(90)\n", 236 | "print portfolio.getCurrentHoldings()\n", 237 | "new_state = coin.advance()" 238 | ] 239 | }, 240 | { 241 | "cell_type": "markdown", 242 | "metadata": {}, 243 | "source": [ 244 | "## Naive Model" 245 | ] 246 | }, 247 | { 248 | "cell_type": "markdown", 249 | "metadata": {}, 250 | "source": [ 251 | "Naive moedl to trade based on bollinger band only" 252 | ] 253 | }, 254 | { 255 | "cell_type": "code", 256 | "execution_count": 12, 257 | "metadata": { 258 | "collapsed": false 259 | }, 260 | "outputs": [], 261 | "source": [ 262 | "coin = Coin(\"ethereum\")\n", 263 | "portfolio = Portfolio(portfolio_cash=1000, coin=coin)" 264 | ] 265 | }, 266 | { 267 | "cell_type": "code", 268 | "execution_count": 13, 269 | "metadata": { 270 | "collapsed": false 271 | }, 272 | "outputs": [ 273 | { 274 | "name": "stdout", 275 | "output_type": "stream", 276 | "text": [ 277 | "7.21 coins, 0.00 cash, 2107.61 current value, 110.76 percent returns\n" 278 | ] 279 | } 280 | ], 281 | "source": [ 282 | "## if we continue to hold and not sell\n", 283 | "while new_state is not None:\n", 284 | " upper_band, lower_band = coin.getCurrentBollingerBand()\n", 285 | " if coin.getCurrentValue() < lower_band:\n", 286 | " portfolio.buy(100)\n", 287 | " \n", 288 | " if coin.getCurrentValue() > upper_band:\n", 289 | " portfolio.sell(100)\n", 290 | "\n", 291 | " new_state = coin.advance()\n", 292 | "\n", 293 | "print portfolio.getCurrentHoldings()" 294 | ] 295 | }, 296 | { 297 | "cell_type": "code", 298 | "execution_count": null, 299 | "metadata": { 300 | "collapsed": true 301 | }, 302 | "outputs": [], 303 | "source": [] 304 | } 305 | ], 306 | "metadata": { 307 | "anaconda-cloud": {}, 308 | "kernelspec": { 309 | "display_name": "Python [default]", 310 | "language": "python", 311 | "name": "python2" 312 | }, 313 | "language_info": { 314 | "codemirror_mode": { 315 | "name": "ipython", 316 | "version": 2 317 | }, 318 | "file_extension": ".py", 319 | "mimetype": "text/x-python", 320 | "name": "python", 321 | "nbconvert_exporter": "python", 322 | "pygments_lexer": "ipython2", 323 | "version": "2.7.12" 324 | } 325 | }, 326 | "nbformat": 4, 327 | "nbformat_minor": 2 328 | } 329 | --------------------------------------------------------------------------------