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VisualizePL.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "provenance": [], | |
| "authorship_tag": "ABX9TyNHpBIaQvWYItv9i1bvUWMV", | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| }, | |
| "language_info": { | |
| "name": "python" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/KatsuyaITO/f477e428d70f3e797ec2e024a3267d8d/visuzalizepl.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "WBi7e9yXwgyI", | |
| "outputId": "b1999f84-58d0-4092-a877-94cc1c2129cf" | |
| }, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Requirement already satisfied: japanize-matplotlib in /usr/local/lib/python3.10/dist-packages (1.1.3)\n", | |
| "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from japanize-matplotlib) (3.7.1)\n", | |
| "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (1.1.1)\n", | |
| "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (0.12.1)\n", | |
| "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (4.43.1)\n", | |
| "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (1.4.5)\n", | |
| "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (1.23.5)\n", | |
| "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (23.2)\n", | |
| "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (9.4.0)\n", | |
| "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (3.1.1)\n", | |
| "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize-matplotlib) (2.8.2)\n", | |
| "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->japanize-matplotlib) (1.16.0)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "!pip install japanize-matplotlib" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "import pandas as pd\n", | |
| "import japanize_matplotlib\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "# GMOクリック用 FXネオ>精算表 からcsvでダウンロード\n", | |
| "# https://kabu.click-sec.com/sec1/mypage/tradeHistoryList.do\n", | |
| "file_gmo=\"path/to/csv\"\n", | |
| "\n", | |
| "# 楽天FX用 口座(タブ)>口座情報>証拠金履歴から csvでダウンロード\n", | |
| "# https://fx.rakuten-sec.co.jp/websetting/paymentHistAction~~\n", | |
| "file_rak=\"path/to/csv\"\n", | |
| "\n", | |
| "summarize_days = 7 #7日間で合計したグラフを生成\n", | |
| "invested_capital = 123456789 #年初投資額(円)" | |
| ], | |
| "metadata": { | |
| "id": "IXtzS0Cz0P3y" | |
| }, | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# 楽天用\n", | |
| "df_rak=pd.read_csv(file_rak,encoding=\"cp932\")\n", | |
| "df_rak=df_rak[df_rak[\"取引\"]!=\"振替\"]\n", | |
| "df_rak[\"発生日時\"]=pd.to_datetime(df_rak[\"発生日時\"])\n", | |
| "df_rak=df_rak.sort_values(\"発生日時\")\n", | |
| "df_rak[\"金額\"]=df_rak[\"金額\"].str.replace(\",\",\"\").astype(float)" | |
| ], | |
| "metadata": { | |
| "id": "TwJjhqp80R3X" | |
| }, | |
| "execution_count": 3, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# GMOクリック用\n", | |
| "df_gmo=pd.read_csv(file_gmo,encoding=\"cp932\")\n", | |
| "df_gmo[\"金額\"]=df_gmo[\"受渡金額(円貨)\"].values\n", | |
| "df_gmo[\"発生日時\"] = pd.to_datetime(df_gmo[\"約定日時\"])\n", | |
| "df_gmo=df_gmo.sort_values(\"発生日時\")\n", | |
| "df_gmo=df_gmo[~df_gmo[\"取引区分\"].str.contains(\"振替入金\")]" | |
| ], | |
| "metadata": { | |
| "id": "fqMYA-xA0adW" | |
| }, | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# 2つを連結して週次のPLを計算する\n", | |
| "df=pd.concat([df_rak[[\"発生日時\", \"金額\"]],df_gmo[[\"発生日時\", \"金額\"]]])\n", | |
| "df=df.sort_values(\"発生日時\")\n", | |
| "df.index=df[\"発生日時\"].values\n", | |
| "df[\"week\"]=((df[\"発生日時\"]-df[\"発生日時\"].values[0]).dt.days).astype(int)//summarize_days\n", | |
| "df_sum=df.groupby(\"week\")[[\"金額\"]].sum().cumsum()\n", | |
| "df_sum.index=df.groupby(\"week\")[\"発生日時\"].min().values\n", | |
| "df_sum[\"利回(%)\"]=(df_sum[[\"金額\"]]/invested_capital)*100" | |
| ], | |
| "metadata": { | |
| "id": "rjWAf2K608IR" | |
| }, | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# 発生日ごとのPLを計算して年SRを計算する\n", | |
| "df[\"発生日\"]=df[\"発生日時\"].dt.strftime(\"%Y-%m-%d\").values\n", | |
| "ret=df.groupby(\"発生日\")[\"金額\"].sum()\n", | |
| "sharpe=str(ret.mean()/ret.std()*(252**0.5))[:5]" | |
| ], | |
| "metadata": { | |
| "id": "57FCERF_4_me" | |
| }, | |
| "execution_count": 6, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "df_sum[[\"利回(%)\"]].plot(figsize=(10,5),title=\"年累積利回り(%) 年Sharpe Ratio = {}\".format(sharpe))\n", | |
| "plt.show()" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 449 | |
| }, | |
| "id": "rXH3IQYa2Mur", | |
| "outputId": "46cbded7-b898-4506-cf01-c219b6f62529" | |
| }, | |
| "execution_count": 7, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 1000x500 with 1 Axes>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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