Ethereum-Price-Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9edbac1f",
   "metadata": {},
   "source": [
    "# Ethereum Price Prediction\n",
    "\n",
    "Our goal of this notebook is to predict whether the current signal is **sell or buy** depending on the short term and long term price, using classification based models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "238d09e8",
   "metadata": {},
   "source": [
    "## The Problem\n",
    "\n",
    "- The problem of predicting a buy or sell signal for a trading strategy is defined in the classification framework, where the predicted variable has a value of 1 for buy and 0 for sell.\n",
    "- The buy or sell signal are decided on the basis on the comparison of short term and long term prices.\n",
    "- we get the data in terms of average daily volume traded—Bitstamp (https://www.bitstamp.com). Data can be found at: https://www.kaggle.com/datasets/prasoonkottarathil/ethereum-historical-dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "865d3dae",
   "metadata": {},
   "source": [
    "## Loading the python packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d7e7769a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load packages\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import read_csv, set_option\n",
    "from pandas.plotting import scatter_matrix\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.model_selection import GridSearchCV, train_test_split, KFold, cross_val_score\n",
    "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score\n",
    "from sklearn.ensemble import GradientBoostingClassifier, AdaBoostClassifier, ExtraTreesClassifier, RandomForestClassifier\n",
    "\n",
    "\n",
    "#Libraries for Deep Learning Models\n",
    "\n",
    "from keras.layers import Dense\n",
    "from keras.models import Sequential\n",
    "from keras.optimizers import SGD\n",
    "from keras.wrappers.scikit_learn import KerasClassifier"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95102aff",
   "metadata": {},
   "source": [
    "## Loading the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d2d6db7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading dataset\n",
    "dataset = pd.read_csv('ETH.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "abe1db06",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Disable the warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6fbb469",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "764c3a1f",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8baf0b20",
   "metadata": {},
   "source": [
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "671f5063",
   "metadata": {},
   "source": [
    "## Exploring the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "89e27f24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1048575, 6)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# shape\n",
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d75a2d07",
   "metadata": {},
   "outputs": [
    {
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       "      <th>volume</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>1048570</th>\n",
       "      <td>18/02/2018 04:13</td>\n",
       "      <td>954.12</td>\n",
       "      <td>955.92</td>\n",
       "      <td>954.12</td>\n",
       "      <td>955.42</td>\n",
       "      <td>4.158083</td>\n",
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       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>18/02/2018 04:12</td>\n",
       "      <td>957.87</td>\n",
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       "      <td>954.12</td>\n",
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       "      <td>18/02/2018 04:11</td>\n",
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       "      <td>955.93</td>\n",
       "      <td>957.87</td>\n",
       "      <td>10.583997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>18/02/2018 04:10</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
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       "      <th>1048574</th>\n",
       "      <td>18/02/2018 04:09</td>\n",
       "      <td>955.56</td>\n",
       "      <td>955.67</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.50</td>\n",
       "      <td>3.485150</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "                     date    open    high     low   close     volume\n",
       "1048570  18/02/2018 04:13  954.12  955.92  954.12  955.42   4.158083\n",
       "1048571  18/02/2018 04:12  957.87  957.87  953.78  954.12  27.260190\n",
       "1048572  18/02/2018 04:11  955.93  957.87  955.93  957.87  10.583997\n",
       "1048573  18/02/2018 04:10  955.50  955.93  955.50  955.93   0.105639\n",
       "1048574  18/02/2018 04:09  955.56  955.67  955.50  955.50   3.485150"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# peek at data\n",
    "set_option('display.width', 100)\n",
    "dataset.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "233eca55",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.048575e+06</td>\n",
       "      <td>1.048575e+06</td>\n",
       "      <td>1.048575e+06</td>\n",
       "      <td>1.048575e+06</td>\n",
       "      <td>1.048575e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.766138e+02</td>\n",
       "      <td>2.767168e+02</td>\n",
       "      <td>2.765052e+02</td>\n",
       "      <td>2.766132e+02</td>\n",
       "      <td>1.658664e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.853888e+02</td>\n",
       "      <td>1.854661e+02</td>\n",
       "      <td>1.853034e+02</td>\n",
       "      <td>1.853876e+02</td>\n",
       "      <td>1.034367e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.083000e+01</td>\n",
       "      <td>8.083000e+01</td>\n",
       "      <td>8.083000e+01</td>\n",
       "      <td>8.083000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.528000e+02</td>\n",
       "      <td>1.528800e+02</td>\n",
       "      <td>1.527600e+02</td>\n",
       "      <td>1.528000e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.007000e+02</td>\n",
       "      <td>2.007500e+02</td>\n",
       "      <td>2.006900e+02</td>\n",
       "      <td>2.007000e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.078000e+02</td>\n",
       "      <td>3.079500e+02</td>\n",
       "      <td>3.076300e+02</td>\n",
       "      <td>3.078000e+02</td>\n",
       "      <td>3.713994e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.580500e+02</td>\n",
       "      <td>9.590000e+02</td>\n",
       "      <td>9.580500e+02</td>\n",
       "      <td>9.580500e+02</td>\n",
       "      <td>1.926126e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "               open          high           low         close        volume\n",
       "count  1.048575e+06  1.048575e+06  1.048575e+06  1.048575e+06  1.048575e+06\n",
       "mean   2.766138e+02  2.767168e+02  2.765052e+02  2.766132e+02  1.658664e+01\n",
       "std    1.853888e+02  1.854661e+02  1.853034e+02  1.853876e+02  1.034367e+02\n",
       "min    8.083000e+01  8.083000e+01  8.083000e+01  8.083000e+01  0.000000e+00\n",
       "25%    1.528000e+02  1.528800e+02  1.527600e+02  1.528000e+02  0.000000e+00\n",
       "50%    2.007000e+02  2.007500e+02  2.006900e+02  2.007000e+02  0.000000e+00\n",
       "75%    3.078000e+02  3.079500e+02  3.076300e+02  3.078000e+02  3.713994e+00\n",
       "max    9.580500e+02  9.590000e+02  9.580500e+02  9.580500e+02  1.926126e+04"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# describe data\n",
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cdd27d1",
   "metadata": {},
   "source": [
    "## Preparing the Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3398c746",
   "metadata": {},
   "source": [
    "### Cleaning the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "82434fe2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Null Values = False\n"
     ]
    }
   ],
   "source": [
    "# Checking if there are any null values \n",
    "print('Null Values =',dataset.isnull().values.any())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "95cba6e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=dataset.drop(columns=['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5ad7fbdc",
   "metadata": {},
   "outputs": [
    {
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       "      <th>open</th>\n",
       "      <th>high</th>\n",
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       "      <th>1048570</th>\n",
       "      <td>954.12</td>\n",
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       "      <td>955.42</td>\n",
       "      <td>4.158083</td>\n",
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       "      <th>1048571</th>\n",
       "      <td>957.87</td>\n",
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       "      <td>954.12</td>\n",
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       "      <th>1048572</th>\n",
       "      <td>955.93</td>\n",
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       "      <th>1048573</th>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>0.105639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>955.56</td>\n",
       "      <td>955.67</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.50</td>\n",
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      "text/plain": [
       "           open    high     low   close     volume\n",
       "1048570  954.12  955.92  954.12  955.42   4.158083\n",
       "1048571  957.87  957.87  953.78  954.12  27.260190\n",
       "1048572  955.93  957.87  955.93  957.87  10.583997\n",
       "1048573  955.50  955.93  955.50  955.93   0.105639\n",
       "1048574  955.56  955.67  955.50  955.50   3.485150"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63e0352b",
   "metadata": {},
   "source": [
    "### Preparing the Data for Classification"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d0362fd",
   "metadata": {},
   "source": [
    "We attach a label to each movement: \n",
    "- **1** if the signal is that short term price will go up as compared to the long term. \n",
    "- **0** if the signal is that short term price will go down as compared to the long term."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "70b1ec1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create short simple moving average over a short 10-day-window\n",
    "dataset['short_mvg'] = dataset['close'].rolling(window=10, min_periods=1, center=False).mean()\n",
    "\n",
    "# Create long simple moving average over a long 60-day-window\n",
    "dataset['long_mvg'] = dataset['close'].rolling(window=60, min_periods=1, center=False).mean()\n",
    "\n",
    "# Create the signals\n",
    "dataset['signal'] = np.where(dataset['short_mvg'] > dataset['long_mvg'], 1.0, 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "adf803fd",
   "metadata": {},
   "outputs": [
    {
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       "      <th>1048570</th>\n",
       "      <td>954.12</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>957.87</td>\n",
       "      <td>957.87</td>\n",
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       "      <td>954.12</td>\n",
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       "      <td>953.938</td>\n",
       "      <td>954.760833</td>\n",
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       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>955.93</td>\n",
       "      <td>957.87</td>\n",
       "      <td>955.93</td>\n",
       "      <td>957.87</td>\n",
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       "      <td>954.875333</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>0.105639</td>\n",
       "      <td>954.694</td>\n",
       "      <td>954.927000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>955.56</td>\n",
       "      <td>955.67</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.50</td>\n",
       "      <td>3.485150</td>\n",
       "      <td>954.932</td>\n",
       "      <td>954.960833</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           open    high     low   close     volume  short_mvg    long_mvg  signal\n",
       "1048570  954.12  955.92  954.12  955.42   4.158083    954.124  954.681333     0.0\n",
       "1048571  957.87  957.87  953.78  954.12  27.260190    953.938  954.760833     0.0\n",
       "1048572  955.93  957.87  955.93  957.87  10.583997    954.413  954.875333     0.0\n",
       "1048573  955.50  955.93  955.50  955.93   0.105639    954.694  954.927000     0.0\n",
       "1048574  955.56  955.67  955.50  955.50   3.485150    954.932  954.960833     0.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33fb64fa",
   "metadata": {},
   "source": [
    "### Feature Extraction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "631f90b5",
   "metadata": {},
   "source": [
    "We start by the constructing of the dataset that contains the predictors which will be used to make the predictions, and the output variable too.\n",
    "\n",
    "The current Data of the Ethereum consists of open, high, low, close and volume. by using this data we can calculate the following  technical indicators:\n",
    "* **Moving Average** : A moving average provides an indication of the trend of the price movement by cut down the amount of noise on a price chart. \n",
    "* **Stochastic Oscillator %K and %D** : A stochastic oscillator is a momentum indicator comparing a particular closing price of a security to a range of its prices over a certain period of time. %K and %D are slow and fast indicators.\n",
    "* **Relative Strength Index(RSI)** :It is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. \n",
    "* **Rate Of Change(ROC)**: It is a momentum oscillator, which measures the percentage change between the current price and the n period past price. \n",
    "* **Momentum (MOM)** : It is the rate of acceleration of a security's price or volume – that is, the speed at which the price is changing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c95f70e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculation of exponential moving average\n",
    "def EMA(df, n):\n",
    "    EMA = pd.Series(df['close'].ewm(span=n, min_periods=n).mean(), name='EMA_' + str(n))\n",
    "    return EMA\n",
    "dataset['EMA10'] = EMA(dataset, 10)\n",
    "dataset['EMA30'] = EMA(dataset, 30)\n",
    "dataset['EMA200'] = EMA(dataset, 200)\n",
    "dataset.head()\n",
    "\n",
    "#calculation of rate of change\n",
    "def ROC(df, n):  \n",
    "    M = df.diff(n - 1)  \n",
    "    N = df.shift(n - 1)  \n",
    "    ROC = pd.Series(((M / N) * 100), name = 'ROC_' + str(n))   \n",
    "    return ROC\n",
    "dataset['ROC10'] = ROC(dataset['close'], 10)\n",
    "dataset['ROC30'] = ROC(dataset['close'], 30)\n",
    "\n",
    "#Calculation of price momentum\n",
    "def MOM(df, n):   \n",
    "    MOM = pd.Series(df.diff(n), name='Momentum_' + str(n))   \n",
    "    return MOM\n",
    "dataset['MOM10'] = MOM(dataset['close'], 10)\n",
    "dataset['MOM30'] = MOM(dataset['close'], 30)\n",
    "\n",
    "#calculation of relative strength index\n",
    "def RSI(series, period):\n",
    " delta = series.diff().dropna()\n",
    " u = delta * 0\n",
    " d = u.copy()\n",
    " u[delta > 0] = delta[delta > 0]\n",
    " d[delta < 0] = -delta[delta < 0]\n",
    " u[u.index[period-1]] = np.mean( u[:period] ) #first value is sum of avg gains\n",
    " u = u.drop(u.index[:(period-1)])\n",
    " d[d.index[period-1]] = np.mean( d[:period] ) #first value is sum of avg losses\n",
    " d = d.drop(d.index[:(period-1)])\n",
    " rs = u.ewm(com=period-1, adjust=False).mean() / \\\n",
    " d.ewm(com=period-1, adjust=False).mean()\n",
    " return 100 - 100 / (1 + rs)\n",
    "dataset['RSI10'] = RSI(dataset['close'], 10)\n",
    "dataset['RSI30'] = RSI(dataset['close'], 30)\n",
    "dataset['RSI200'] = RSI(dataset['close'], 200)\n",
    "\n",
    "#calculation of stochastic osillator.\n",
    "\n",
    "def STOK(close, low, high, n): \n",
    " STOK = ((close - low.rolling(n).min()) / (high.rolling(n).max() - low.rolling(n).min())) * 100\n",
    " return STOK\n",
    "\n",
    "def STOD(close, low, high, n):\n",
    " STOK = ((close - low.rolling(n).min()) / (high.rolling(n).max() - low.rolling(n).min())) * 100\n",
    " STOD = STOK.rolling(3).mean()\n",
    " return STOD\n",
    "\n",
    "dataset['%K10'] = STOK(dataset['close'], dataset['low'], dataset['high'], 10)\n",
    "dataset['%D10'] = STOD(dataset['close'], dataset['low'], dataset['high'], 10)\n",
    "dataset['%K30'] = STOK(dataset['close'], dataset['low'], dataset['high'], 30)\n",
    "dataset['%D30'] = STOD(dataset['close'], dataset['low'], dataset['high'], 30)\n",
    "dataset['%K200'] = STOK(dataset['close'], dataset['low'], dataset['high'], 200)\n",
    "dataset['%D200'] = STOD(dataset['close'], dataset['low'], dataset['high'], 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "eb7bc4f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculation of moving average\n",
    "def MA(df, n):\n",
    "    MA = pd.Series(df['close'].rolling(n, min_periods=n).mean(), name='MA_' + str(n))\n",
    "    return MA\n",
    "dataset['MA21'] = MA(dataset, 10)\n",
    "dataset['MA63'] = MA(dataset, 30)\n",
    "dataset['MA252'] = MA(dataset, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7db66936",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>short_mvg</th>\n",
       "      <th>long_mvg</th>\n",
       "      <th>signal</th>\n",
       "      <th>EMA10</th>\n",
       "      <th>EMA30</th>\n",
       "      <th>...</th>\n",
       "      <th>RSI200</th>\n",
       "      <th>%K10</th>\n",
       "      <th>%D10</th>\n",
       "      <th>%K30</th>\n",
       "      <th>%D30</th>\n",
       "      <th>%K200</th>\n",
       "      <th>%D200</th>\n",
       "      <th>MA21</th>\n",
       "      <th>MA63</th>\n",
       "      <th>MA252</th>\n",
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       "      <td>954.875333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>955.090643</td>\n",
       "      <td>954.772709</td>\n",
       "      <td>...</td>\n",
       "      <td>55.498702</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>73.451903</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>74.936864</td>\n",
       "      <td>99.500788</td>\n",
       "      <td>94.070765</td>\n",
       "      <td>954.413</td>\n",
       "      <td>955.255333</td>\n",
       "      <td>939.8123</td>\n",
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       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.93</td>\n",
       "      <td>0.105639</td>\n",
       "      <td>954.694</td>\n",
       "      <td>954.927000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>955.243254</td>\n",
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       "      <td>66.377816</td>\n",
       "      <td>67.128827</td>\n",
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       "      <td>75.900042</td>\n",
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       "      <td>955.289000</td>\n",
       "      <td>939.9407</td>\n",
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       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>955.56</td>\n",
       "      <td>955.67</td>\n",
       "      <td>955.50</td>\n",
       "      <td>955.50</td>\n",
       "      <td>3.485150</td>\n",
       "      <td>954.932</td>\n",
       "      <td>954.960833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>955.289935</td>\n",
       "      <td>954.889478</td>\n",
       "      <td>...</td>\n",
       "      <td>54.787108</td>\n",
       "      <td>55.198488</td>\n",
       "      <td>73.858768</td>\n",
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       "<p>5 rows × 27 columns</p>\n",
       "</div>"
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       "           open    high     low   close     volume  short_mvg    long_mvg  signal       EMA10  \\\n",
       "1048570  954.12  955.92  954.12  955.42   4.158083    954.124  954.681333     0.0  954.551455   \n",
       "1048571  957.87  957.87  953.78  954.12  27.260190    953.938  954.760833     0.0  954.473009   \n",
       "1048572  955.93  957.87  955.93  957.87  10.583997    954.413  954.875333     0.0  955.090643   \n",
       "1048573  955.50  955.93  955.50  955.93   0.105639    954.694  954.927000     0.0  955.243254   \n",
       "1048574  955.56  955.67  955.50  955.50   3.485150    954.932  954.960833     0.0  955.289935   \n",
       "\n",
       "              EMA30  ...     RSI200        %K10       %D10        %K30       %D30      %K200  \\\n",
       "1048570  954.589385  ...  54.966008   85.347044  53.727825   72.459893  61.051693  93.063584   \n",
       "1048571  954.559102  ...  54.570589   35.008666  52.757975   52.350699  60.052728  89.647924   \n",
       "1048572  954.772709  ...  55.498702  100.000000  73.451903  100.000000  74.936864  99.500788   \n",
       "1048573  954.847373  ...  54.915384   66.377816  67.128827   75.349428  75.900042  94.403573   \n",
       "1048574  954.889478  ...  54.787108   55.198488  73.858768   58.925477  78.091635  93.273778   \n",
       "\n",
       "             %D200     MA21        MA63     MA252  \n",
       "1048570  90.821510  954.124  955.016000  939.5506  \n",
       "1048571  90.803994  953.938  955.070000  939.6742  \n",
       "1048572  94.070765  954.413  955.255333  939.8123  \n",
       "1048573  94.517429  954.694  955.289000  939.9407  \n",
       "1048574  95.726047  954.932  955.307667  940.0657  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7ef56920",
   "metadata": {},
   "outputs": [],
   "source": [
    "#excluding columns that are not needed for our prediction.\n",
    "dataset=dataset.drop(['high','low','open','short_mvg','long_mvg'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "29872273",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = dataset.dropna(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b32f4473",
   "metadata": {},
   "outputs": [
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       "      <td>...</td>\n",
       "      <td>54.915384</td>\n",
       "      <td>66.377816</td>\n",
       "      <td>67.128827</td>\n",
       "      <td>75.349428</td>\n",
       "      <td>75.900042</td>\n",
       "      <td>94.403573</td>\n",
       "      <td>94.517429</td>\n",
       "      <td>954.694</td>\n",
       "      <td>955.289000</td>\n",
       "      <td>939.9407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>955.50</td>\n",
       "      <td>3.485150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>955.289935</td>\n",
       "      <td>954.889478</td>\n",
       "      <td>943.392453</td>\n",
       "      <td>0.249706</td>\n",
       "      <td>0.007327</td>\n",
       "      <td>2.38</td>\n",
       "      <td>0.56</td>\n",
       "      <td>...</td>\n",
       "      <td>54.787108</td>\n",
       "      <td>55.198488</td>\n",
       "      <td>73.858768</td>\n",
       "      <td>58.925477</td>\n",
       "      <td>78.091635</td>\n",
       "      <td>93.273778</td>\n",
       "      <td>95.726047</td>\n",
       "      <td>954.932</td>\n",
       "      <td>955.307667</td>\n",
       "      <td>940.0657</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          close     volume  signal       EMA10       EMA30      EMA200     ROC10     ROC30  MOM10  \\\n",
       "1048570  955.42   4.158083     0.0  954.551455  954.589385  942.883732 -0.058579  0.306562  -1.08   \n",
       "1048571  954.12  27.260190     0.0  954.473009  954.559102  942.995536  0.104919  0.190064  -1.86   \n",
       "1048572  957.87  10.583997     0.0  955.090643  954.772709  943.143540  0.498363  0.308926   4.75   \n",
       "1048573  955.93   0.105639     0.0  955.243254  954.847373  943.270769  0.294821  0.103671   2.81   \n",
       "1048574  955.50   3.485150     0.0  955.289935  954.889478  943.392453  0.249706  0.007327   2.38   \n",
       "\n",
       "         MOM30  ...     RSI200        %K10       %D10        %K30       %D30      %K200  \\\n",
       "1048570   1.18  ...  54.966008   85.347044  53.727825   72.459893  61.051693  93.063584   \n",
       "1048571   1.62  ...  54.570589   35.008666  52.757975   52.350699  60.052728  89.647924   \n",
       "1048572   5.56  ...  55.498702  100.000000  73.451903  100.000000  74.936864  99.500788   \n",
       "1048573   1.01  ...  54.915384   66.377816  67.128827   75.349428  75.900042  94.403573   \n",
       "1048574   0.56  ...  54.787108   55.198488  73.858768   58.925477  78.091635  93.273778   \n",
       "\n",
       "             %D200     MA21        MA63     MA252  \n",
       "1048570  90.821510  954.124  955.016000  939.5506  \n",
       "1048571  90.803994  953.938  955.070000  939.6742  \n",
       "1048572  94.070765  954.413  955.255333  939.8123  \n",
       "1048573  94.517429  954.694  955.289000  939.9407  \n",
       "1048574  95.726047  954.932  955.307667  940.0657  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9a7e0cc",
   "metadata": {},
   "source": [
    "### Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2d19563d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset[['volume']].plot(grid=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb302c2c",
   "metadata": {},
   "source": [
    "#### Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ad8ed78a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histograms\n",
    "dataset.hist(sharex=False, sharey=False, xlabelsize=1, ylabelsize=1, figsize=(12,12))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c8f10c33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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11FP3+JoxY8bsNn7u3Llx0kknRf/+/Ss2VwCgb6rqR2MzZsyIBx54IB566KFYuXJlTJ8+PdasWRNTpkyJiE8+1rr88suL46dMmRKrV6+OGTNmxMqVK+Ohhx6KBx98MK677rpq/REAgF6sah+NRURcfPHF8e6778btt98eGzZsiBEjRsQzzzwThx12WEREbNiwoeSeQsOGDYtnnnkmpk+fHvfee280NzfHPffcExdeeGG1/ggAQC9W1fsIVYP7CAFAhbiPEABA7yGEAIBsCSEAIFtCCADIlhACALIlhACAbAkhACBbQggAyJYQAgCyJYQAgGwJIQAgW0IIAMiWEAIAsiWEAIBsCSEAIFtCCADIlhACALIlhACAbAkhACBbQggAyJYQAgCyJYQAgGwJIQAgW0IIAMiWEAIAsiWEAIBsCSEAIFtCCADIlhACALIlhACAbAkhACBbQggAyJYQAgCyJYQAgGwJIQAgW0IIAMiWEAIAsiWEAIBsCSEAIFu11Z5A1XR2RjQ0VHsWAEAVOSIEAGRLCAEA2RJCAEC2hBAAkC0hBABkSwgBANkSQgBAtoQQAJAtIQQAZEsIAQDZEkIAQLaEEACQLSEEAGRLCAEA2RJCAEC2hBAAkC0hBABkSwgBANkSQgBAtoQQAJAtIQQAZEsIAQDZEkIAQLaEEACQLSEEAGRLCAEA2RJCAEC2hBAAkC0hBABkSwgBANkSQgBAtoQQAJAtIQQAZEsIAQDZEkIAQLaEEACQLSEEAGRLCAEA2RJCAEC2hBAAkC0hBABkSwgBANkSQgBAtoQQAJCt2mpPoKellCIioqurq8ozAQD21q737V3v4+WSXQi9++67ERExdOjQKs8EAPhvbdmyJQqFQtm+X3YhdMABB0RExJo1a8q6kOy9rq6uGDp0aKxduzYaGhqqPZ3sWP/qsv7VZf2r6/Osf0optmzZEs3NzWWdU3Yh1K/fJ6dFFQoFfwmqrKGhwT6oIutfXda/uqx/dXV3/StxAMPJ0gBAtoQQAJCt7EKorq4ubr311qirq6v2VLJlH1SX9a8u619d1r+6vojrX5PKfR0aAEAvkd0RIQCAXYQQAJAtIQQAZEsIAQDZyi6E7rvvvhg2bFgMHDgwWlpa4sUXX6z2lL5Q5s+fH+edd140NzdHTU1NPPnkkyXPp5Titttui+bm5th3333jm9/8Zrz66qslY7Zu3RpXX311DB48OAYNGhTnn39+vP322yVjNm3aFJdddlkUCoUoFApx2WWXxebNm0vGrFmzJs4777wYNGhQDB48OKZNmxbbtm0rGbNixYo4/fTTY999941DDjkkbr/99rL/HpqeNHPmzPj6178e9fX1cdBBB8XEiRPj9ddfLxljH1TO/fffH8cff3zxZm9jxoyJP/7xj8XnrX3PmjlzZtTU1MS1115b3GYfVNZtt90WNTU1JY+mpqbi831y/VNGHnvssdS/f/80e/bs9Nprr6VrrrkmDRo0KK1evbraU/vCeOaZZ9JNN92U5syZkyIiPfHEEyXP33HHHam+vj7NmTMnrVixIl188cXp4IMPTl1dXcUxU6ZMSYccckhqbW1NbW1tady4cWnUqFFp+/btxTHf+c530ogRI9KCBQvSggUL0ogRI9K5555bfH779u1pxIgRady4camtrS21tram5ubmNHXq1OKYzs7O1NjYmC655JK0YsWKNGfOnFRfX5/uvPPOyi1QhU2YMCE9/PDD6ZVXXknLly9P55xzTjr00EPTe++9VxxjH1TOU089lZ5++un0+uuvp9dffz3deOONqX///umVV15JKVn7nrR48eJ0+OGHp+OPPz5dc801xe32QWXdeuut6atf/WrasGFD8dHR0VF8vi+uf1YhdPLJJ6cpU6aUbDvmmGPSj370oyrN6Ivt0yG0c+fO1NTUlO64447ito8++igVCoU0a9aslFJKmzdvTv3790+PPfZYccy6detSv3790p/+9KeUUkqvvfZaioi0aNGi4piFCxemiEj/+Mc/UkqfBFm/fv3SunXrimN++9vfprq6utTZ2ZlSSum+++5LhUIhffTRR8UxM2fOTM3NzWnnzp1lXInq6ejoSBGR5s2bl1KyD6ph//33Tw888IC170FbtmxJRx11VGptbU2nn356MYTsg8q79dZb06hRo/b4XF9d/2w+Gtu2bVssXbo0xo8fX7J9/PjxsWDBgirNqndZtWpVtLe3l6xhXV1dnH766cU1XLp0aXz88cclY5qbm2PEiBHFMQsXLoxCoRCnnHJKcczo0aOjUCiUjBkxYkTJL9ebMGFCbN26NZYuXVocc/rpp5fcmGvChAmxfv36eOutt8q/AFXQ2dkZEf//lwXbBz1nx44d8dhjj8X7778fY8aMsfY96Ac/+EGcc845ceaZZ5Zstw96xhtvvBHNzc0xbNiwuOSSS+LNN9+MiL67/tmE0MaNG2PHjh3R2NhYsr2xsTHa29urNKveZdc6fdYatre3x4ABA2L//ff/zDEHHXTQbt//oIMOKhnz6Z+z//77x4ABAz5zzK6v+8I+TSnFjBkz4hvf+EaMGDEiIuyDnrBixYrYb7/9oq6uLqZMmRJPPPFEHHfccda+hzz22GPR1tYWM2fO3O05+6DyTjnllHj00Ufj2WefjdmzZ0d7e3uceuqp8e677/bZ9c/ut8/X1NSUfJ1S2m0bn607a/jpMXsaX44x6f+dJNcX9unUqVPj5Zdfjpdeemm35+yDyjn66KNj+fLlsXnz5pgzZ05cccUVMW/evOLz1r5y1q5dG9dcc03MnTs3Bg4c+B/H2QeVc9ZZZxX/e+TIkTFmzJg48sgj41e/+lWMHj06Ivre+mdzRGjw4MGxzz777FaJHR0duxUle7bryoHPWsOmpqbYtm1bbNq06TPH/Otf/9rt+7/zzjslYz79czZt2hQff/zxZ47p6OiIiN3/xdLbXH311fHUU0/F888/H0OGDClutw8qb8CAATF8+PA46aSTYubMmTFq1Kj4xS9+Ye17wNKlS6OjoyNaWlqitrY2amtrY968eXHPPfdEbW3tf/zXvn1QOYMGDYqRI0fGG2+80Wf/DmQTQgMGDIiWlpZobW0t2d7a2hqnnnpqlWbVuwwbNiyamppK1nDbtm0xb9684hq2tLRE//79S8Zs2LAhXnnlleKYMWPGRGdnZyxevLg45q9//Wt0dnaWjHnllVdiw4YNxTFz586Nurq6aGlpKY6ZP39+yeWUc+fOjebm5jj88MPLvwA9IKUUU6dOjccffzz+8pe/xLBhw0qetw96Xkoptm7dau17wBlnnBErVqyI5cuXFx8nnXRSXHrppbF8+fI44ogj7IMetnXr1li5cmUcfPDBfffvwF6fVt0H7Lp8/sEHH0yvvfZauvbaa9OgQYPSW2+9Ve2pfWFs2bIlLVu2LC1btixFRLrrrrvSsmXLircYuOOOO1KhUEiPP/54WrFiRZo8efIeL50cMmRIeu6551JbW1v61re+tcdLJ48//vi0cOHCtHDhwjRy5Mg9Xjp5xhlnpLa2tvTcc8+lIUOGlFw6uXnz5tTY2JgmT56cVqxYkR5//PHU0NDQqy9dveqqq1KhUEgvvPBCyeWrH3zwQXGMfVA5N9xwQ5o/f35atWpVevnll9ONN96Y+vXrl+bOnZtSsvbV8L+vGkvJPqi0H/7wh+mFF15Ib775Zlq0aFE699xzU319ffF9si+uf1YhlFJK9957bzrssMPSgAED0oknnli8LJlPPP/88ykidntcccUVKaVPLp+89dZbU1NTU6qrq0unnXZaWrFiRcn3+PDDD9PUqVPTAQcckPbdd9907rnnpjVr1pSMeffdd9Oll16a6uvrU319fbr00kvTpk2bSsasXr06nXPOOWnfffdNBxxwQJo6dWrJZZIppfTyyy+nsWPHprq6utTU1JRuu+22XnvZakppj2sfEenhhx8ujrEPKufKK68s/v/hy1/+cjrjjDOKEZSSta+GT4eQfVBZu+4L1L9//9Tc3JwmTZqUXn311eLzfXH9a1LqxbfABAD4HLI5RwgA4NOEEACQLSEEAGRLCAEA2RJCAEC2hBAAkC0hBABkSwgBANkSQgBAtoQQAJAtIQQAZEsIAQDZ+h8oWRS7I7AGfQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plot = dataset.groupby(['signal']).size().plot(kind='barh', color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa4e8482",
   "metadata": {},
   "source": [
    "- The predicted variable is around 50% out of total data-size, meaning that number of the buy signals were nearly as the same as the number of sell signals. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "47c7c822",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Correlation Matrix'}>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# correlation\n",
    "correlation = dataset.corr()\n",
    "plt.figure(figsize=(20,20))\n",
    "plt.title('Correlation Matrix')\n",
    "sns.heatmap(correlation, vmax=1, square=True,annot=True,cmap='cubehelix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41dc736c",
   "metadata": {},
   "source": [
    "## Models and Algorithms"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd5dd8be",
   "metadata": {},
   "source": [
    "### Train-Test-Split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5855229",
   "metadata": {},
   "source": [
    "We split the dataset into 80% training set and 20% test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c6af5618",
   "metadata": {},
   "outputs": [],
   "source": [
    "# split out validation dataset for the end\n",
    "subset_dataset= dataset.iloc[-100000:]\n",
    "Y= subset_dataset[\"signal\"]\n",
    "X = subset_dataset.loc[:, dataset.columns != 'signal']\n",
    "validation_size = 0.2\n",
    "seed = 1\n",
    "X_train, X_validation, Y_train, Y_validation = train_test_split(X, Y, test_size=validation_size, random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66272cc1",
   "metadata": {},
   "source": [
    "### Evaluation Metrics and Test Options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e59aac66",
   "metadata": {},
   "outputs": [],
   "source": [
    "# test options for classification\n",
    "num_folds = 10\n",
    "seed = 7\n",
    "scoring = 'accuracy'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ba84322",
   "metadata": {},
   "source": [
    "### Compare Algorithms and Models\n",
    "\n",
    "- In order to know which algorithm technic is the best for our strategy, we evaluate the following non linear different methods:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "361903e5",
   "metadata": {},
   "source": [
    "#### The Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b128dd11",
   "metadata": {},
   "outputs": [],
   "source": [
    "# spot check the algorithms\n",
    "models = []\n",
    "models.append(('LR', LogisticRegression(n_jobs=-1)))\n",
    "models.append(('LDA', LinearDiscriminantAnalysis()))\n",
    "models.append(('KNN', KNeighborsClassifier()))\n",
    "models.append(('CART', DecisionTreeClassifier()))\n",
    "models.append(('NB', GaussianNB()))\n",
    "# Neural Network\n",
    "models.append(('NN', MLPClassifier()))\n",
    "# Ensable Models \n",
    "# Boosting methods\n",
    "models.append(('AB', AdaBoostClassifier()))\n",
    "models.append(('GBM', GradientBoostingClassifier()))\n",
    "# Bagging methods\n",
    "models.append(('RF', RandomForestClassifier(n_jobs=-1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46bbdbf5",
   "metadata": {},
   "source": [
    "#### K-folds cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "15c74bdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR: 0.902200 (0.002196)\n",
      "LDA: 0.913513 (0.001942)\n",
      "KNN: 0.862725 (0.004572)\n",
      "CART: 0.902363 (0.002592)\n",
      "NB: 0.805300 (0.003953)\n",
      "NN: 0.886825 (0.019926)\n",
      "AB: 0.901387 (0.003893)\n",
      "GBM: 0.914350 (0.003490)\n",
      "RF: 0.936588 (0.002428)\n"
     ]
    }
   ],
   "source": [
    "results = []\n",
    "names = []\n",
    "for name, model in models:\n",
    "    kfold = KFold(n_splits=num_folds)\n",
    "    cv_results = cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)\n",
    "    results.append(cv_results)\n",
    "    names.append(name)\n",
    "    msg = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
    "    print(msg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f21bf2ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare algorithms\n",
    "fig = plt.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.boxplot(results)\n",
    "ax.set_xticklabels(names)\n",
    "fig.set_size_inches(15,8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3de8ef2",
   "metadata": {},
   "source": [
    "## Tuning the Model and the Grid Search"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5ef8246",
   "metadata": {},
   "source": [
    "- Random forest is selected for the grid search as it is one of the best models out of them all."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8ef7675b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best: 0.914075 using {'criterion': 'gini', 'max_depth': 10, 'n_estimators': 80}\n",
      "#6 0.882337 (0.004265) with: {'criterion': 'gini', 'max_depth': 5, 'n_estimators': 20}\n",
      "#7 0.882225 (0.004048) with: {'criterion': 'gini', 'max_depth': 5, 'n_estimators': 80}\n",
      "#2 0.913287 (0.004392) with: {'criterion': 'gini', 'max_depth': 10, 'n_estimators': 20}\n",
      "#1 0.914075 (0.003455) with: {'criterion': 'gini', 'max_depth': 10, 'n_estimators': 80}\n",
      "#8 0.881050 (0.004437) with: {'criterion': 'entropy', 'max_depth': 5, 'n_estimators': 20}\n",
      "#5 0.882962 (0.003811) with: {'criterion': 'entropy', 'max_depth': 5, 'n_estimators': 80}\n",
      "#4 0.910763 (0.003815) with: {'criterion': 'entropy', 'max_depth': 10, 'n_estimators': 20}\n",
      "#3 0.912862 (0.003003) with: {'criterion': 'entropy', 'max_depth': 10, 'n_estimators': 80}\n"
     ]
    }
   ],
   "source": [
    "# Grid Search: Random Forest Classifier\n",
    "'''\n",
    "n_estimators : int (default=100)\n",
    "    The number of boosting stages to perform. \n",
    "    Gradient boosting is fairly robust to over-fitting so a large number usually results in better performance.\n",
    "max_depth : integer, optional (default=3)\n",
    "    maximum depth of the individual regression estimators. \n",
    "    The maximum depth limits the number of nodes in the tree. \n",
    "    Tune this parameter for best performance; the best value depends on the interaction of the input variables    \n",
    "criterion : string, optional (default=”gini”)\n",
    "    The function to measure the quality of a split. \n",
    "    Supported criteria are “gini” for the Gini impurity and “entropy” for the information gain. \n",
    "    \n",
    "'''   \n",
    "scaler = StandardScaler().fit(X_train)\n",
    "rescaledX = scaler.transform(X_train)\n",
    "n_estimators = [20,80]\n",
    "max_depth= [5,10]\n",
    "criterion = [\"gini\",\"entropy\"]\n",
    "param_grid = dict(n_estimators=n_estimators, max_depth=max_depth, criterion = criterion )\n",
    "model = RandomForestClassifier(n_jobs=-1)\n",
    "kfold = KFold(n_splits=num_folds)\n",
    "grid = GridSearchCV(estimator=model, param_grid=param_grid, scoring=scoring, cv=kfold)\n",
    "grid_result = grid.fit(rescaledX, Y_train)\n",
    "\n",
    "#Print Results\n",
    "print(\"Best: %f using %s\" % (grid_result.best_score_, grid_result.best_params_))\n",
    "means = grid_result.cv_results_['mean_test_score']\n",
    "stds = grid_result.cv_results_['std_test_score']\n",
    "params = grid_result.cv_results_['params']\n",
    "ranks = grid_result.cv_results_['rank_test_score']\n",
    "for mean, stdev, param, rank in zip(means, stds, params, ranks):\n",
    "    print(\"#%d %f (%f) with: %r\" % (rank, mean, stdev, param))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ac3cf8d",
   "metadata": {},
   "source": [
    "## Finalize the Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0138bf3",
   "metadata": {},
   "source": [
    "Finalizing the model with best parameters found during tuning step."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f65d584f",
   "metadata": {},
   "source": [
    "###  Results on the Test Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "78d7b2c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=10, n_estimators=80, n_jobs=-1)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# prepare model\n",
    "model = RandomForestClassifier(criterion='gini', n_estimators=80,max_depth=10,n_jobs=-1) # rbf is default kernel\n",
    "#model = LogisticRegression() \n",
    "model.fit(X_train, Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0f166012",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9144\n",
      "[[9463  864]\n",
      " [ 848 8825]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.92      0.92     10327\n",
      "         1.0       0.91      0.91      0.91      9673\n",
      "\n",
      "    accuracy                           0.91     20000\n",
      "   macro avg       0.91      0.91      0.91     20000\n",
      "weighted avg       0.91      0.91      0.91     20000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# estimate accuracy on validation set\n",
    "predictions = model.predict(X_validation)\n",
    "print(accuracy_score(Y_validation, predictions))\n",
    "print(confusion_matrix(Y_validation, predictions))\n",
    "print(classification_report(Y_validation, predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "80dd4a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Predicted', ylabel='Actual'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_cm = pd.DataFrame(confusion_matrix(Y_validation, predictions), columns=np.unique(Y_validation), index = np.unique(Y_validation))\n",
    "df_cm.index.name = 'Actual'\n",
    "df_cm.columns.name = 'Predicted'\n",
    "sns.heatmap(df_cm, cmap=\"Blues\", annot=True,annot_kws={\"size\": 16})# font sizes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e786a5",
   "metadata": {},
   "source": [
    "### Feature Importance of the model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b4abe71",
   "metadata": {},
   "source": [
    "- Let's look into the Feature Importance of the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "24accdc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Variable Importance')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Importance = pd.DataFrame({'Importance':model.feature_importances_*100}, index=X.columns)\n",
    "Importance.sort_values('Importance', axis=0, ascending=True).plot(kind='barh', color='r' )\n",
    "plt.xlabel('Variable Importance')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "addab483",
   "metadata": {},
   "source": [
    "### The Backtesting Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e9e8d79f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create column for Strategy Returns by multiplying the daily returns by the position that was held at close\n",
    "#of business the previous day\n",
    "backtestdata = pd.DataFrame(index=X_validation.index)\n",
    "#backtestdata = pd.DataFrame()\n",
    "backtestdata['signal_pred'] = predictions\n",
    "backtestdata['signal_actual'] = Y_validation\n",
    "backtestdata['Market Returns'] = X_validation['close'].pct_change()\n",
    "backtestdata['Actual Returns'] = backtestdata['Market Returns'] * backtestdata['signal_actual'].shift(1)\n",
    "backtestdata['Strategy Returns'] = backtestdata['Market Returns'] * backtestdata['signal_pred'].shift(1)\n",
    "backtestdata=backtestdata.reset_index()\n",
    "backtestdata.head()\n",
    "backtestdata[['Strategy Returns','Actual Returns']].cumsum().hist()\n",
    "backtestdata[['Strategy Returns','Actual Returns']].cumsum().plot()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}