03-target.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suggested targets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "data_path = os.path.join(\"eDo\", \"data\", \"01.csv\")\n",
    "df = pd.read_csv(data_path, parse_dates=['DateTime'])\n",
    "df.sort_values(\"DateTime\", inplace=True)\n",
    "\n",
    "df[\"Return\"] = df[\"Close\"].pct_change()\n",
    "df[\"Return_next_10\"] = (df[\"Close\"].shift(-10) - df[\"Close\"]) / df[\"Close\"]\n",
    "df.dropna(subset=[\"Return\", \"Return_next_10\", \"fracdiff\"], inplace=True)\n",
    "\n",
    "df[\"ReturnBin\"] = pd.cut(\n",
    "    df[\"Return\"],\n",
    "    bins=[-np.inf, -0.05, -0.02, 0.02, 0.05, np.inf],\n",
    "    labels=[0, 1, 2, 3, 4]\n",
    ").astype(int)\n",
    "\n",
    "df[\"ReturnBin10\"] = pd.cut(\n",
    "    df[\"Return_next_10\"],\n",
    "    bins=[-np.inf, -0.05, -0.02, 0.02, 0.05, np.inf],\n",
    "    labels=[0, 1, 2, 3, 4]\n",
    ").astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReturnBin\n",
      "2    24822\n",
      "1      167\n",
      "3      162\n",
      "0        5\n",
      "4        5\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReturnBin10\n",
      "2    20768\n",
      "3     2029\n",
      "1     1738\n",
      "4      339\n",
      "0      287\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.countplot(x=df['ReturnBin'])\n",
    "plt.title(\"Distribution of Target Classes\")\n",
    "plt.show()\n",
    "\n",
    "print(df['ReturnBin'].value_counts())\n",
    "\n",
    "sns.countplot(x=df['ReturnBin10'])\n",
    "plt.title(\"Distribution of Target Classes (10 ahead)\")\n",
    "plt.show()\n",
    "\n",
    "print(df['ReturnBin10'].value_counts())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['Return_next_10'], bins=90, edgecolor='k', alpha=0.7)\n",
    "plt.title('Histogram of Log Returns (10)')\n",
    "plt.xlabel('Log Returns')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantile targets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.899540794825509 -0.19265939276745525 0.23280489576765825 0.990126421073035\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReturnBinQuantile\n",
      "<-0.90%          5033\n",
      "-0.90%–-0.19%    5032\n",
      "-0.19%–0.23%     5032\n",
      "0.23%–0.99%      5032\n",
      ">0.99%           5032\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "returns = df[\"Return_next_10\"].dropna()\n",
    "\n",
    "q20, q40, q60, q80 = np.quantile(returns, [0.2, 0.4, 0.6, 0.8])\n",
    "\n",
    "print(q20*100, q40*100, q60*100, q80*100)\n",
    "\n",
    "bins_pct = [-np.inf, q20, q40, q60, q80, np.inf]\n",
    "labels_pct = [f\"<{q20*100:.2f}%\", \n",
    "              f\"{q20*100:.2f}%–{q40*100:.2f}%\", \n",
    "              f\"{q40*100:.2f}%–{q60*100:.2f}%\", \n",
    "              f\"{q60*100:.2f}%–{q80*100:.2f}%\", \n",
    "              f\">{q80*100:.2f}%\"]\n",
    "\n",
    "df[\"ReturnBinQuantile\"] = pd.cut(df[\"Return_next_10\"], bins=bins_pct, labels=labels_pct)\n",
    "\n",
    "\n",
    "sns.countplot(x=df['ReturnBinQuantile'])\n",
    "plt.title(\"Distribution of Target Classes (10 ahead)\")\n",
    "plt.show()\n",
    "\n",
    "print(df['ReturnBinQuantile'].value_counts())\n",
    "\n",
    "df[\"ReturnBinQuantile\"] = pd.cut(df[\"Return_next_10\"], bins=bins_pct, labels=[0, 1, 2, 3, 4])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Manual rebalance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReturnBin10_manual\n",
      "2    10411\n",
      "3    10357\n",
      "4     2029\n",
      "1     1738\n",
      "5      339\n",
      "0      287\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df[\"ReturnBin10_manual\"] = pd.cut(\n",
    "    df[\"Return_next_10\"],\n",
    "    bins=[-np.inf, -0.05, -0.02, 0.00, 0.02, 0.05, np.inf],\n",
    "    labels=[0, 1, 2, 3, 4, 5]\n",
    ").astype(int)\n",
    "\n",
    "\n",
    "sns.countplot(x=df['ReturnBin10_manual'])\n",
    "plt.title(\"Distribution of Target Classes (10 ahead)\")\n",
    "plt.show()\n",
    "\n",
    "print(df['ReturnBin10_manual'].value_counts())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jRjA2NkZERITeAubKvOadnZ1x8eJFREVFYefOnfjpp5+wfPlyBAcHY9asWeJjOmLECHh7e5dZT8mVgY8bqzwl69QeF8Ar0qhRIxQVFSEjIwO2trZie35+Pu7cuQN7e/sK7/+kr6vH/Z8puc+GDRug0WhK9Xv47OS7776Lw4cPY+rUqejQoQMsLCxQXFyM/v37P9XHaZQ8ng0bNqzyGFR5DERUJ2zYsAEAyj11XMLAwAB9+/ZF3759sXDhQsybNw+ffvop9u7dC3d392r/S6rkr8QSgiDg8uXLepeW169fH5mZmaXue+3aNbzwwgvi7SepzdHREbt378b9+/f1zhJduHBB3F8dHB0dcfr0aRQXF+udJaru4zxs69at8Pb2xoIFC8S23NzcMh/DspTUdPnyZfTu3VtsLywsxNWrV/Wem+bNm+OPP/5A3759H/v4P8nz8+abb+L777/Hxo0bERQUVOn7lfjpp59gYmKCmJgYqFQqsT0iIqJU38e95gHA3Nwc7733Ht577z3k5+dj8ODBmDt3LoKCgmBjY4N69eqhqKhI7F+RisYyMTEp8z6tW7cGAKSkpDzxY1Gi5LO5Tpw4gddff11sP3HiBIqLix/7uWJP+7p6VMlb0La2thU+bvfu3UNcXBxmzZqF4OBgsf3Rnx02NjYwNTUt1Q4AFy9eLHPsksez5Iwt1Sy+ZUaS27NnD+bMmQMnJycMHz683H5lXXpa8kOy5BLqks+oqeoPwUetX79e762RrVu34tatWxgwYIDY1rx5cxw5ckTvdH9UVFSpy/OfpLbXX38dRUVF+Oabb/Taw8LCoFAo9I7/NF5//XWkpaXpXVlTWFiIpUuXwsLCAq+++mq1HOdhhoaGpc5cLV26FEVFRZW6f6dOnWBtbY1vv/0WhYWFYvt3331X6gzFu+++ixs3buDbb78tNU5OTo541Rrw3/NT2dfNO++8A1dXV8ydOxcJCQml9t+/fx+ffvppufc3NDSEQqHQm/PVq1dLfVJ2ZV7zj17arVQq4eLiAkEQUFBQAENDQ3h5eeGnn37C2bNnS4338KXmjxurPI0bN4aDg8NTfR1Gnz590KBBA4SHh+u1h4eHw8zMTLzyrjxP+7p6lIeHBywtLTFv3rwy517yuJWcaXr02IsWLSpVn4eHB7Zv347U1FSx/fz584iJiSmzhsTERCgUCmi12irNgZ4MzxBRrdqxYwcuXLiAwsJCpKenY8+ePYiNjYWjoyN+/fXXcv8CBf77lOv9+/fD09MTjo6OyMjIwPLly9GkSRPxs2CaN28OKysrrFixAvXq1YO5uTm6dOlSah1KZTVo0ADdu3fHmDFjkJ6ejkWLFqFFixZ6Hw0wbtw4bN26Ff3798e7776Lv/76Cxs3bix12faT1Pbmm2+id+/e+PTTT3H16lW0b98eu3btwi+//AJ/f/8KLwl/EhMmTMDKlSsxevRoJCYmolmzZti6dSsOHTqERYsWPfXC4bK88cYb2LBhA9RqNVxcXJCQkIDdu3dX+PEAD1MqlZg5cyY++OAD9OnTB++++y6uXr2KyMhING/eXO9Mz8iRI7F582ZMnDgRe/fuRbdu3VBUVIQLFy5g8+bNiImJES/zdnNzw+7du7Fw4ULY29vDyckJXbp0KbMGY2Nj/Pzzz3B3d0fPnj3x7rvvolu3bjA2NkZycjI2bdqE+vXrl/tZRJ6enli4cCH69++P999/HxkZGVi2bBlatGiB06dPi/0q85rv168fNBoNunXrBjs7O5w/fx7ffPMNPD09xefviy++wN69e9GlSxeMHz8eLi4uuHv3Lk6ePIndu3eLwasyY5Vn4MCB2LZtGwRB0HsOrl27Jp4BLglMn3/+OYD/zvaVfHSBqakp5syZA19fXwwZMgQeHh44cOAANm7ciLlz56JBgwYVHv9pX1ePsrS0RHh4OEaOHImOHTti6NChsLGxQWpqKqKjo9GtWzd88803sLS0RM+ePTF//nwUFBSgcePG2LVrV5lny2bNmoWdO3eiR48emDx5svjHR5s2bfSe9xKxsbHo1q1bledAT0iKS9tIfkoudS3ZlEqloNFohNdee01YvHix3uXdJR697D4uLk4YOHCgYG9vLyiVSsHe3l4YNmyY8Oeff+rd75dffhFcXFwEIyMjvcvcX3311XIvKS7vsvvvv/9eCAoKEmxtbQVTU1PB09NT75LZEgsWLBAaN24sqFQqoVu3bsKJEydKjVlRbWVdln3//n0hICBAsLe3F4yNjYWWLVsKX331ld6lwoLw32X3vr6+pWoq7+MAHpWeni6MGTNGaNiwoaBUKgVXV9cyPxqgui67v3fvnng8CwsLwcPDQ7hw4UKpeh/3UQ1LliwRHB0dBZVKJXTu3Fk4dOiQ4ObmJvTv31+vX35+vvDll18Kbdq0EVQqlVC/fn3Bzc1NmDVrlpCVlSX2u3DhgtCzZ0/B1NRUAFCpx+7evXtCcHCw4OrqKpiZmQkmJiZC27ZthaCgIOHWrVtiv7Ke3zVr1ggtW7YUVCqV0Lp1ayEiIqJKr/mVK1cKPXv2FKytrQWVSiU0b95cmDp1qt7cBOG/59nX11dwcHAQjI2NBY1GI/Tt21dYtWrVE49VlpMnTwoASn3EQcn/pbK2R/9/CIIgrFq1SmjVqpWgVCqF5s2bC2FhYaVe82V52tdVSZ179+4t1e7h4SGo1WrBxMREaN68uTB69GjhxIkTYp+///5bePvttwUrKytBrVYLQ4YMES+Zf/i1LwiCEB8fL7i5uQlKpVJ44YUXhBUrVpR63gVBEDIzMwWlUimsXr36sXOn6qEQhDq46pKI6AkVFxfDxsYGgwcPLvMtMqp5ffv2hb29vXhGiKpu0aJFmD9/Pv76668auRiESuMaIiJ65uTm5pZas7F+/XrcvXu3zK9godoxb948/PjjjzXycQ1yUlBQgIULF2LGjBkMQ7WIZ4iI6Jmzb98+BAQEYMiQIbC2tsbJkyexZs0aODs7IzExUfIv6yWiZw8XVRPRM6dZs2ZwcHDAkiVLcPfuXTRo0ACjRo3CF198wTBERFXCM0REREQke1xDRERERLLHQERERESyxzVElVBcXIybN2+iXr16/JI9IiKiZ4QgCLh//z7s7e1LfYn1oxiIKuHmzZtV/hJIIiIiktb169fRpEmTCvswEFVCyUfWX79+HZaWlhJXQ0RERJWh0+ng4OBQqa8hYiCqhJK3ySwtLRmIiIiInjGVWe7CRdVEREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7kgaiZs2aQaFQlNp8fX0BALm5ufD19YW1tTUsLCzg5eWF9PR0vTFSU1Ph6ekJMzMz2NraYurUqSgsLNTrs2/fPnTs2BEqlQotWrRAZGRkbU2RiIiIngGSBqLjx4/j1q1b4hYbGwsAGDJkCAAgICAAv/32G7Zs2YL4+HjcvHkTgwcPFu9fVFQET09P5Ofn4/Dhw1i3bh0iIyMRHBws9klJSYGnpyd69+6NpKQk+Pv7Y9y4cYiJiandyRIREVGdpRAEQZC6iBL+/v6IiorCpUuXoNPpYGNjg02bNuGdd94BAFy4cAHOzs5ISEhA165dsWPHDrzxxhu4efMm7OzsAAArVqzA9OnTcfv2bSiVSkyfPh3R0dE4e/aseJyhQ4ciMzMTO3furFRdOp0OarUaWVlZ/GBGIiKiZ8ST/P6uM2uI8vPzsXHjRowdOxYKhQKJiYkoKCiAu7u72Kd169Zo2rQpEhISAAAJCQlwdXUVwxAAeHh4QKfTITk5Wezz8BglfUrGKEteXh50Op3eRkRERM+vOhOItm/fjszMTIwePRoAkJaWBqVSCSsrK71+dnZ2SEtLE/s8HIZK9pfsq6iPTqdDTk5OmbWEhoZCrVaLG7/YlYiI6PlWZwLRmjVrMGDAANjb20tdCoKCgpCVlSVu169fl7okIiIiqkF14stdr127ht27d+Pnn38W2zQaDfLz85GZmal3lig9PR0ajUbsc+zYMb2xSq5Ce7jPo1empaenw9LSEqampmXWo1KpoFKpnnpeRERE9GyoE2eIIiIiYGtrC09PT7HNzc0NxsbGiIuLE9suXryI1NRUaLVaAIBWq8WZM2eQkZEh9omNjYWlpSVcXFzEPg+PUdKnZAwiIiIiyQNRcXExIiIi4O3tDSOj/3/CSq1Ww8fHB4GBgdi7dy8SExMxZswYaLVadO3aFQDQr18/uLi4YOTIkfjjjz8QExODGTNmwNfXVzzDM3HiRFy5cgXTpk3DhQsXsHz5cmzevBkBAQGSzJeIiIjqHsnfMtu9ezdSU1MxduzYUvvCwsJgYGAALy8v5OXlwcPDA8uXLxf3GxoaIioqCpMmTYJWq4W5uTm8vb0xe/ZssY+TkxOio6MREBCAxYsXo0mTJli9ejU8PDxqZX5Ezwu3qeulLuGpJX41SuoSiKiOqlOfQ1RX8XOIiBiIiOjZ80x+DhERERGRVBiIiIiISPYYiIiIiEj2JF9UTURUl3HtFJE88AwRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJnuSB6MaNGxgxYgSsra1hamoKV1dXnDhxQtwvCAKCg4PRqFEjmJqawt3dHZcuXdIb4+7duxg+fDgsLS1hZWUFHx8fPHjwQK/P6dOn0aNHD5iYmMDBwQHz58+vlfkRERFR3SdpILp37x66desGY2Nj7NixA+fOncOCBQtQv359sc/8+fOxZMkSrFixAkePHoW5uTk8PDyQm5sr9hk+fDiSk5MRGxuLqKgo7N+/HxMmTBD363Q69OvXD46OjkhMTMRXX32FmTNnYtWqVbU6XyIiIqqbjKQ8+JdffgkHBwdERESIbU5OTuK/BUHAokWLMGPGDAwcOBAAsH79etjZ2WH79u0YOnQozp8/j507d+L48ePo1KkTAGDp0qV4/fXX8fXXX8Pe3h7fffcd8vPzsXbtWiiVSrRp0wZJSUlYuHChXnAiIiIieZL0DNGvv/6KTp06YciQIbC1tcVLL72Eb7/9VtyfkpKCtLQ0uLu7i21qtRpdunRBQkICACAhIQFWVlZiGAIAd3d3GBgY4OjRo2Kfnj17QqlUin08PDxw8eJF3Lt3r1RdeXl50Ol0ehsRERE9vyQNRFeuXEF4eDhatmyJmJgYTJo0CR9++CHWrVsHAEhLSwMA2NnZ6d3Pzs5O3JeWlgZbW1u9/UZGRmjQoIFen7LGePgYDwsNDYVarRY3BweHapgtERER1VWSBqLi4mJ07NgR8+bNw0svvYQJEyZg/PjxWLFihZRlISgoCFlZWeJ2/fp1SeshIiKimiVpIGrUqBFcXFz02pydnZGamgoA0Gg0AID09HS9Punp6eI+jUaDjIwMvf2FhYW4e/euXp+yxnj4GA9TqVSwtLTU24iIiOj5JWkg6tatGy5evKjX9ueff8LR0RHAfwusNRoN4uLixP06nQ5Hjx6FVqsFAGi1WmRmZiIxMVHss2fPHhQXF6NLly5in/3796OgoEDsExsbi1atWuld0UZERETyJGkgCggIwJEjRzBv3jxcvnwZmzZtwqpVq+Dr6wsAUCgU8Pf3x+eff45ff/0VZ86cwahRo2Bvb49BgwYB+O+MUv/+/TF+/HgcO3YMhw4dgp+fH4YOHQp7e3sAwPvvvw+lUgkfHx8kJyfjxx9/xOLFixEYGCjV1ImIiKgOkfSy+5dffhnbtm1DUFAQZs+eDScnJyxatAjDhw8X+0ybNg3Z2dmYMGECMjMz0b17d+zcuRMmJiZin++++w5+fn7o27cvDAwM4OXlhSVLloj71Wo1du3aBV9fX7i5uaFhw4YIDg7mJfdEREQEAFAIgiBIXURdp9PpoFarkZWVxfVEJFtuU9dLXcJTS/xq1BPfR67zJnoePMnvb8m/uoOIiIhIagxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQke5IGopkzZ0KhUOhtrVu3Fvfn5ubC19cX1tbWsLCwgJeXF9LT0/XGSE1NhaenJ8zMzGBra4upU6eisLBQr8++ffvQsWNHqFQqtGjRApGRkbUxPSIiInpGSH6GqE2bNrh165a4HTx4UNwXEBCA3377DVu2bEF8fDxu3ryJwYMHi/uLiorg6emJ/Px8HD58GOvWrUNkZCSCg4PFPikpKfD09ETv3r2RlJQEf39/jBs3DjExMbU6TyIiIqq7jCQvwMgIGo2mVHtWVhbWrFmDTZs2oU+fPgCAiIgIODs748iRI+jatSt27dqFc+fOYffu3bCzs0OHDh0wZ84cTJ8+HTNnzoRSqcSKFSvg5OSEBQsWAACcnZ1x8OBBhIWFwcPDo1bnSkRERHWT5GeILl26BHt7e7zwwgsYPnw4UlNTAQCJiYkoKCiAu7u72Ld169Zo2rQpEhISAAAJCQlwdXWFnZ2d2MfDwwM6nQ7Jyclin4fHKOlTMkZZ8vLyoNPp9DYiIiJ6fkkaiLp06YLIyEjs3LkT4eHhSElJQY8ePXD//n2kpaVBqVTCyspK7z52dnZIS0sDAKSlpemFoZL9Jfsq6qPT6ZCTk1NmXaGhoVCr1eLm4OBQHdMlIiKiOkrSt8wGDBgg/rtdu3bo0qULHB0dsXnzZpiamkpWV1BQEAIDA8XbOp2OoYiIiOg5JvlbZg+zsrLCiy++iMuXL0Oj0SA/Px+ZmZl6fdLT08U1RxqNptRVZyW3H9fH0tKy3NClUqlgaWmptxEREdHzq04FogcPHuCvv/5Co0aN4ObmBmNjY8TFxYn7L168iNTUVGi1WgCAVqvFmTNnkJGRIfaJjY2FpaUlXFxcxD4Pj1HSp2QMIiIiIkkD0ccff4z4+HhcvXoVhw8fxttvvw1DQ0MMGzYMarUaPj4+CAwMxN69e5GYmIgxY8ZAq9Wia9euAIB+/frBxcUFI0eOxB9//IGYmBjMmDEDvr6+UKlUAICJEyfiypUrmDZtGi5cuIDly5dj8+bNCAgIkHLqREREVIdIuobo77//xrBhw3Dnzh3Y2Nige/fuOHLkCGxsbAAAYWFhMDAwgJeXF/Ly8uDh4YHly5eL9zc0NERUVBQmTZoErVYLc3NzeHt7Y/bs2WIfJycnREdHIyAgAIsXL0aTJk2wevVqXnJPREREIoUgCILURdR1Op0OarUaWVlZXE9EsuU2db3UJTy1xK9GPfF95DpvoufBk/z+rlNriIiIiIikwEBEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyV2cC0RdffAGFQgF/f3+xLTc3F76+vrC2toaFhQW8vLyQnp6ud7/U1FR4enrCzMwMtra2mDp1KgoLC/X67Nu3Dx07doRKpUKLFi0QGRlZCzMiIiKiZ0WdCETHjx/HypUr0a5dO732gIAA/Pbbb9iyZQvi4+Nx8+ZNDB48WNxfVFQET09P5Ofn4/Dhw1i3bh0iIyMRHBws9klJSYGnpyd69+6NpKQk+Pv7Y9y4cYiJiam1+REREVHdJnkgevDgAYYPH45vv/0W9evXF9uzsrKwZs0aLFy4EH369IGbmxsiIiJw+PBhHDlyBACwa9cunDt3Dhs3bkSHDh0wYMAAzJkzB8uWLUN+fj4AYMWKFXBycsKCBQvg7OwMPz8/vPPOOwgLC5NkvkRERFT3SB6IfH194enpCXd3d732xMREFBQU6LW3bt0aTZs2RUJCAgAgISEBrq6usLOzE/t4eHhAp9MhOTlZ7PPo2B4eHuIYZcnLy4NOp9PbiIiI6PllJOXBf/jhB5w8eRLHjx8vtS8tLQ1KpRJWVlZ67XZ2dkhLSxP7PByGSvaX7Kuoj06nQ05ODkxNTUsdOzQ0FLNmzaryvIiIiOjZItkZouvXr2PKlCn47rvvYGJiIlUZZQoKCkJWVpa4Xb9+XeqSiIiIqAZVKRD16dMHmZmZpdp1Oh369OlTqTESExORkZGBjh07wsjICEZGRoiPj8eSJUtgZGQEOzs75OfnlzpOeno6NBoNAECj0ZS66qzk9uP6WFpalnl2CABUKhUsLS31NiIiInp+VSkQ7du3T1y0/LDc3FwcOHCgUmP07dsXZ86cQVJSkrh16tQJw4cPF/9tbGyMuLg48T4XL15EamoqtFotAECr1eLMmTPIyMgQ+8TGxsLS0hIuLi5in4fHKOlTMgYRERHRE60hOn36tPjvc+fOiet0gP8ugd+5cycaN25cqbHq1auHtm3b6rWZm5vD2tpabPfx8UFgYCAaNGgAS0tLfPDBB9BqtejatSsAoF+/fnBxccHIkSMxf/58pKWlYcaMGfD19YVKpQIATJw4Ed988w2mTZuGsWPHYs+ePdi8eTOio6OfZOpERET0HHuiQNShQwcoFAooFIoy3xozNTXF0qVLq624sLAwGBgYwMvLC3l5efDw8MDy5cvF/YaGhoiKisKkSZOg1Wphbm4Ob29vzJ49W+zj5OSE6OhoBAQEYPHixWjSpAlWr14NDw+PaquTiIiInm0KQRCEyna+du0aBEHACy+8gGPHjsHGxkbcp1QqYWtrC0NDwxopVEo6nQ5qtRpZWVlcT0Sy5TZ1vdQlPLXEr0Y98X3kOm+i58GT/P5+ojNEjo6OAIDi4uKqV0dERERUx1T5c4guXbqEvXv3IiMjo1RAevirM4iIiIjquioFom+//RaTJk1Cw4YNodFooFAoxH0KhYKBiIiIiJ4pVQpEn3/+OebOnYvp06dXdz1EREREta5Kn0N07949DBkypLprISIiIpJElQLRkCFDsGvXruquhYiIiEgSVXrLrEWLFvjss89w5MgRuLq6wtjYWG//hx9+WC3FEREREdWGKgWiVatWwcLCAvHx8YiPj9fbp1AoGIiIiIjomVKlQJSSklLddRARERFJpkpriIiIiIieJ1U6QzR27NgK969du7ZKxRARERFJoUqB6N69e3q3CwoKcPbsWWRmZpb5pa9EREREdVmVAtG2bdtKtRUXF2PSpElo3rz5UxdFREREVJuqbQ2RgYEBAgMDERYWVl1DEhEREdWKal1U/ddff6GwsLA6hyQiIiKqcVV6yywwMFD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1KvPtMgBQqVSwtLTU24iIiOj5JWkgevDgAZKSkpCUlATgv4XUSUlJSE1NhUKhgL+/Pz7//HP8+uuvOHPmDEaNGgV7e3sMGjQIAODs7Iz+/ftj/PjxOHbsGA4dOgQ/Pz8MHToU9vb2AID3338fSqUSPj4+SE5Oxo8//ojFixcjMDBQolkTERFRXSPpouoTJ06gd+/e4u2SkOLt7Y3IyEhMmzYN2dnZmDBhAjIzM9G9e3fs3LkTJiYm4n2+++47+Pn5oW/fvjAwMICXlxeWLFki7ler1di1axd8fX3h5uaGhg0bIjg4mJfcExERkUjSQNSrVy8IglDufoVCgdmzZ2P27Nnl9mnQoAE2bdpU4XHatWuHAwcOVLlOIiIier7V2TVERERERLWFgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZM9I6gKIiIhIWm5T10tdwlNL/GrUU92fZ4iIiIhI9hiIiIiISPb4llk14KlGIiKiZxvPEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkezJKhAtW7YMzZo1g4mJCbp06YJjx45JXRIRERHVAbIJRD/++CMCAwMREhKCkydPon379vDw8EBGRobUpREREZHEZBOIFi5ciPHjx2PMmDFwcXHBihUrYGZmhrVr10pdGhEREUlMFoEoPz8fiYmJcHd3F9sMDAzg7u6OhIQECSsjIiKiukAW33b/zz//oKioCHZ2dnrtdnZ2uHDhQqn+eXl5yMvLE29nZWUBAHQ6XZnjF+XlVGO10ihvbhXhvJ9dnHflcd7PLs678p7XeZe0CYLw+AEEGbhx44YAQDh8+LBe+9SpU4XOnTuX6h8SEiIA4MaNGzdu3Lg9B9v169cfmxVkcYaoYcOGMDQ0RHp6ul57eno6NBpNqf5BQUEIDAwUbxcXF+Pu3buwtraGQqGo8XofptPp4ODggOvXr8PS0rJWjy0lzpvzlgPOm/OWAynnLQgC7t+/D3t7+8f2lUUgUiqVcHNzQ1xcHAYNGgTgv5ATFxcHPz+/Uv1VKhVUKpVem5WVVS1UWj5LS0tZ/QcqwXnLC+ctL5y3vEg1b7VaXal+sghEABAYGAhvb2906tQJnTt3xqJFi5CdnY0xY8ZIXRoRERFJTDaB6L333sPt27cRHByMtLQ0dOjQATt37iy10JqIiIjkRzaBCAD8/PzKfIusLlOpVAgJCSn1Ft7zjvPmvOWA8+a85eBZmbdCECpzLRoRERHR80sWH8xIREREVBEGIiIiIpI9BiIiIiKSPQYiIiIikj0Gojpu2bJlaNasGUxMTNClSxccO3ZM6pJq3P79+/Hmm2/C3t4eCoUC27dvl7qkGhcaGoqXX34Z9erVg62tLQYNGoSLFy9KXVaNCw8PR7t27cQPbNNqtdixY4fUZdW6L774AgqFAv7+/lKXUqNmzpwJhUKht7Vu3VrqsmrFjRs3MGLECFhbW8PU1BSurq44ceKE1GXVqGbNmpV6vhUKBXx9faUurUwMRHXYjz/+iMDAQISEhODkyZNo3749PDw8kJGRIXVpNSo7Oxvt27fHsmXLpC6l1sTHx8PX1xdHjhxBbGwsCgoK0K9fP2RnZ0tdWo1q0qQJvvjiCyQmJuLEiRPo06cPBg4ciOTkZKlLqzXHjx/HypUr0a5dO6lLqRVt2rTBrVu3xO3gwYNSl1Tj7t27h27dusHY2Bg7duzAuXPnsGDBAtSvX1/q0mrU8ePH9Z7r2NhYAMCQIUMkrqwc1fP1qVQTOnfuLPj6+oq3i4qKBHt7eyE0NFTCqmoXAGHbtm1Sl1HrMjIyBABCfHy81KXUuvr16wurV6+Wuoxacf/+faFly5ZCbGys8OqrrwpTpkyRuqQaFRISIrRv317qMmrd9OnThe7du0tdhuSmTJkiNG/eXCguLpa6lDLxDFEdlZ+fj8TERLi7u4ttBgYGcHd3R0JCgoSVUW3IysoCADRo0EDiSmpPUVERfvjhB2RnZ0Or1UpdTq3w9fWFp6en3v/z592lS5dgb2+PF154AcOHD0dqaqrUJdW4X3/9FZ06dcKQIUNga2uLl156Cd9++63UZdWq/Px8bNy4EWPHjq31L0mvLAaiOuqff/5BUVFRqa8WsbOzQ1pamkRVUW0oLi6Gv78/unXrhrZt20pdTo07c+YMLCwsoFKpMHHiRGzbtg0uLi5Sl1XjfvjhB5w8eRKhoaFSl1JrunTpgsjISOzcuRPh4eFISUlBjx49cP/+falLq1FXrlxBeHg4WrZsiZiYGEyaNAkffvgh1q1bJ3VptWb79u3IzMzE6NGjpS6lXLL66g6iZ4Gvry/Onj0ri7UVANCqVSskJSUhKysLW7duhbe3N+Lj45/rUHT9+nVMmTIFsbGxMDExkbqcWjNgwADx3+3atUOXLl3g6OiIzZs3w8fHR8LKalZxcTE6deqEefPmAQBeeuklnD17FitWrIC3t7fE1dWONWvWYMCAAbC3t5e6lHLxDFEd1bBhQxgaGiI9PV2vPT09HRqNRqKqqKb5+fkhKioKe/fuRZMmTaQup1YolUq0aNECbm5uCA0NRfv27bF48WKpy6pRiYmJyMjIQMeOHWFkZAQjIyPEx8djyZIlMDIyQlFRkdQl1gorKyu8+OKLuHz5stSl1KhGjRqVCvjOzs6yeLsQAK5du4bdu3dj3LhxUpdSIQaiOkqpVMLNzQ1xcXFiW3FxMeLi4mSzvkJOBEGAn58ftm3bhj179sDJyUnqkiRTXFyMvLw8qcuoUX379sWZM2eQlJQkbp06dcLw4cORlJQEQ0NDqUusFQ8ePMBff/2FRo0aSV1KjerWrVupj9H4888/4ejoKFFFtSsiIgK2trbw9PSUupQK8S2zOiwwMBDe3t7o1KkTOnfujEWLFiE7OxtjxoyRurQa9eDBA72/GFNSUpCUlIQGDRqgadOmElZWc3x9fbFp0yb88ssvqFevnrhOTK1Ww9TUVOLqak5QUBAGDBiApk2b4v79+9i0aRP27duHmJgYqUurUfXq1Su1Pszc3BzW1tbP9bqxjz/+GG+++SYcHR1x8+ZNhISEwNDQEMOGDZO6tBoVEBCAV155BfPmzcO7776LY8eOYdWqVVi1apXUpdW44uJiREREwNvbG0ZGdTxySH2ZG1Vs6dKlQtOmTQWlUil07txZOHLkiNQl1bi9e/cKAEpt3t7eUpdWY8qaLwAhIiJC6tJq1NixYwVHR0dBqVQKNjY2Qt++fYVdu3ZJXZYk5HDZ/XvvvSc0atRIUCqVQuPGjYX33ntPuHz5stRl1YrffvtNaNu2raBSqYTWrVsLq1atkrqkWhETEyMAEC5evCh1KY+lEARBkCaKEREREdUNXENEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARESSunr1KhQKBZKSkqQu5bkyevRoDBo0qFJ9e/XqBX9//6c6XmRkJKysrMTbM2fORIcOHZ5qTKLaxEBE9IwYPXo0FAoFFAoFjI2N4eTkhGnTpiE3N7dS99+3bx8UCgUyMzNrttCHPFyzQqGAtbU1+vfvj9OnT4t9HBwccOvWrSf6yopbt27h/fffx4svvggDA4Nyf5lv2bIFrVu3homJCVxdXfH7778/7ZSI6DnFQET0DOnfvz9u3bqFK1euICwsDCtXrkRISEit11FQUFDpviU137p1C3FxcTAyMsIbb7wh7jc0NIRGo3mi7znKy8uDjY0NZsyYgfbt25fZ5/Dhwxg2bBh8fHxw6tQpDBo0CIMGDcLZs2crfRwikg8GIqJniEqlgkajgYODAwYNGgR3d3fExsYC+O9LFENDQ+Hk5ARTU1O0b98eW7duBfDf21K9e/cGANSvXx8KhQKjR48GADRr1gyLFi3SO06HDh0wc+ZM8bZCoUB4eDjeeustmJubY+7cueJbIhs2bECzZs2gVqsxdOhQ3L9/v8yaNRoNOnTogP/973+4fv06bt++Ldb28FtmJWey4uLi0KlTJ5iZmeGVV17R+7bwZs2aYfHixRg1ahTUanWZj9XixYvRv39/TJ06Fc7OzpgzZw46duyIb775plKPdbNmzfD5559j1KhRsLCwgKOjI3799Vfcvn0bAwcOhIWFBdq1a4cTJ06I97lz5w6GDRuGxo0bw8zMDK6urvj+++/1xu3Vqxc+/PBDTJs2DQ0aNIBGo9F7rMt6CzEzMxMKhQL79u0DABQVFcHHx0d8rlu1aoXFixdXal7lKSwshJ+fH9RqNRo2bIjPPvsMD3+zU15eHj7++GM0btwY5ubm6NKli1gP0fOAgYjoGXX27FkcPnwYSqUSABAaGor169djxYoVSE5ORkBAAEaMGIH4+Hg4ODjgp59+AgBcvHgRt27deuJfoDNnzsTbb7+NM2fOYOzYsQCAv/76C9u3b0dUVBSioqIQHx+PL774otwxHjx4gI0bN6JFixawtrau8HiffvopFixYgBMnTsDIyEg8ZmUlJCTA3d1dr83DwwMJCQmVHiMsLAzdunXDqVOn4OnpiZEjR2LUqFEYMWIETp48iebNm2PUqFFicMjNzYWbmxuio6Nx9uxZTJgwASNHjsSxY8f0xl23bh3Mzc1x9OhRzJ8/H7NnzxaDbWUUFxejSZMm2LJlC86dO4fg4GB88skn2Lx5c6XHeNS6detgZGSEY8eOYfHixVi4cCFWr14t7vfz80NCQgJ++OEHnD59GkOGDEH//v1x6dKlKh+TqE6R9rtliaiyvL29BUNDQ8Hc3FxQqVQCAMHAwEDYunWrkJubK5iZmQmHDx/Wu4+Pj48wbNgwQRAEYe/evQIA4d69e3p9HB0dhbCwML229u3bCyEhIeJtAIK/v79en5CQEMHMzEzQ6XRi29SpU4UuXbqUWbO5ubkAQGjUqJGQmJgo9klJSREACKdOndKrc/fu3WKf6OhoAYCQk5NT6nEp71vijY2NhU2bNum1LVu2TLC1tS3VtyyOjo7CiBEjxNu3bt0SAAifffaZ2JaQkCAAEG7dulXuOJ6ensJHH32kV2/37t31+rz88svC9OnTBUEo/XgIgiDcu3dPACDs3bu33OP4+voKXl5e4m1vb29h4MCBj5umWJOzs7NQXFwstk2fPl1wdnYWBEEQrl27JhgaGgo3btzQu1/fvn2FoKAgQRAEISIiQlCr1eK+kJAQoX379pU6PlFdUPk37YlIcr1790Z4eDiys7MRFhYGIyMjeHl5ITk5Gf/++y9ee+01vf75+fl46aWXquXYnTp1KtXWrFkz1KtXT7zdqFEjZGRklFkzANy7dw/Lly/HgAEDcOzYMTg6OpZ7vHbt2umNCwAZGRlo2rTpU83jSTxcg52dHQDA1dW1VFtGRgY0Gg2Kioowb948bN68GTdu3EB+fj7y8vJgZmZW7rhA2Y/b4yxbtgxr165FamoqcnJykJ+f/1RXdXXt2hUKhUK8rdVqsWDBAhQVFeHMmTMoKirCiy++qHefvLy8x57pI3pWMBARPUPMzc3RokULAMDatWvRvn17rFmzRrxCKzo6Go0bN9a7j0qlqnBMAwMDvbUiQNmLps3NzUu1GRsb691WKBQoLi4ut2YAWL16NdRqNb799lt8/vnn5db18Nglv6gfHbsiGo0G6enpem3p6enQaDSVHqOsGiqq66uvvsLixYuxaNEiuLq6wtzcHP7+/sjPzy933JJxSsYwMPhvJcPDz8mjz8cPP/yAjz/+GAsWLIBWq0W9evXw1Vdf4ejRo5We25N48OABDA0NkZiYCENDQ719FhYWNXJMotrGQET0jDIwMMAnn3yCwMBA/Pnnn1CpVEhNTcWrr75aZv+StUZFRUV67TY2Nrh165Z4W6fTISUlpcbqVigUMDAwQE5OTo0dA/jvDEdcXJzeJfmxsbHQarU1dsxDhw5h4MCBGDFiBID/gtKff/4JFxeXSo9hY2MD4L+PFig5u/foZzQdOnQIr7zyCiZPniy2/fXXX09V+6Nh6siRI2jZsiUMDQ3x0ksvoaioCBkZGejRo8dTHYeoruKiaqJn2JAhQ2BoaIiVK1fi448/RkBAANatW4e//voLJ0+exNKlS7Fu3ToAgKOjIxQKBaKionD79m08ePAAANCnTx9s2LABBw4cwJkzZ+Dt7V3qLMDTyMvLQ1paGtLS0nD+/Hl88MEHePDgAd58882nGjcpKQlJSUl48OABbt++jaSkJJw7d07cP2XKFOzcuRMLFizAhQsXMHPmTJw4cQJ+fn5PO6VytWzZErGxsTh8+DDOnz+P//u//yt1lupxTE1N0bVrV3zxxRc4f/484uPjMWPGjFLHOXHiBGJiYvDnn3/is88+w/Hjx5+q9tTUVAQGBuLixYv4/vvvsXTpUkyZMgUA8OKLL2L48OEYNWoUfv75Z6SkpODYsWMIDQ1FdHT0Ux2XqK7gGSKiZ5iRkRH8/Pwwf/58pKSkwMbGBqGhobhy5QqsrKzQsWNHfPLJJwCAxo0bY9asWfjf//6HMWPGYNSoUYiMjERQUBBSUlLwxhtvQK1WY86cOdV6hmjnzp3iGqB69eqhdevW2LJlC3r16vVU4z68NioxMRGbNm2Co6Mjrl69CgB45ZVXsGnTJsyYMQOffPIJWrZsie3btz/RB0A+qRkzZuDKlSvw8PCAmZkZJkyYgEGDBiErK+uJxlm7di18fHzg5uaGVq1aYf78+ejXr5+4///+7/9w6tQpvPfee1AoFBg2bBgmT56MHTt2VLn2UaNGIScnB507d4ahoSGmTJmCCRMmiPsjIiLw+eef46OPPsKNGzfQsGFDdO3aVe8zpYieZQrh0cUDRERERDLDt8yIiIhI9hiIiEh2Dhw4AAsLi3K350lqamqFc01NTZW6RKI6gW+ZEZHs5OTk4MaNG+Xuf/hjAp51hYWF4rqqsjRr1uyJvkeO6HnFQERERESyx7fMiIiISPYYiIiIiEj2GIiIiIhI9hiIiIiISPYYiIiIiEj2GIiIiIhI9hiIiIiISPYYiIiIiEj2/h/R68ZBa35GwwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReturnBin10_manual_bell\n",
      "3    6910\n",
      "4    6796\n",
      "5    3561\n",
      "2    3501\n",
      "6    2029\n",
      "1    1738\n",
      "7     339\n",
      "0     287\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df[\"ReturnBin10_manual_bell\"] = pd.cut(\n",
    "    df[\"Return_next_10\"],\n",
    "    bins=[-np.inf, -0.05, -0.02, -0.008, 0.00, 0.008, 0.02, 0.05, np.inf],\n",
    "    labels=[0, 1, 2, 3, 4, 5, 6, 7]\n",
    ").astype(int)\n",
    "\n",
    "\n",
    "sns.countplot(x=df['ReturnBin10_manual_bell'])\n",
    "plt.title(\"Distribution of Target Classes (10 ahead)\")\n",
    "plt.show()\n",
    "\n",
    "print(df['ReturnBin10_manual_bell'].value_counts())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = [\n",
    "    \"DateTime\",\n",
    "    \"Open\",\n",
    "    \"High\",\n",
    "    \"Low\",\n",
    "    \"Close\",\n",
    "    \"Volume\",\n",
    "    \"fracdiff\",\n",
    "    \"ReturnBin10\",\n",
    "    \"ReturnBinQuantile\",\n",
    "    \"ReturnBin10_manual_bell\"\n",
    "]\n",
    "\n",
    "df[columns].to_csv(os.path.join(\"eDo\", 'data', '03.csv'), index=False) "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}