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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/shinseitaro/9b9c96853a7b9ffbb4db98221616bd32/crypto-advent-calender-2021.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dAVhEe7LnSW6"
},
"source": [
"# [仮想通貨botter Advent Calendar 2021 13日目](https://qiita.com/advent-calendar/2021/botter)\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9QcysVugnckB"
},
"source": [
"## このノートでやること\n",
"\n",
"1. CCXT からデータをフェッチ\n",
"1. バックテスト用にデータ前処理\n",
"1. Backtesting.py を使ったバックテスト方法の解説\n",
"1. SuperTrend インディケータを backtesting.py でコーディング\n",
"1. Backtesting.py を使った最適化\n",
"1. 最適化したパラメータを使って out-of-sample テスト\n"
]
},
{
"cell_type": "markdown",
"source": [
"## 前提知識\n",
"\n",
"- Python の基本的な文法\n",
"- [Pandas](https://pandas.pydata.org/) の使い方\n",
"- Google Colab の使い方"
],
"metadata": {
"id": "hzhgBv9vfXND"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "HV4gZ7nRnczB"
},
"source": [
"## CCXTからデータを取得\n",
"- CCXT は、色々な暗号通貨取引所のAPIを共通のインターフェイスで使えるようにしてくれるライブラリです。\n",
"- レポジトリ：[ccxt/ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges](https://github.com/ccxt/ccxt)\n",
"- 今回はCCXT経由で[FTX](https://ftx.com/markets)のデータを取得します。CCXTの詳細については公式レポジトリを参照してください。\n",
"- 実行時に `timeout: The read operation timed out` エラーが発生することがあります。この場合は10秒くらい待って再度実行してください。\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "EI7vFqkpCn2_"
},
"source": [
"# インストール\n",
"!pip install ccxt"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "QTnl8IEpCuJa"
},
"source": [
"import pandas as pd\n",
"import ccxt\n",
"\n",
"\n",
"def data_to_df(data):\n",
" \"\"\"CCXTから取得したデータをDataFrameに変換\"\"\"\n",
"\n",
" df = pd.DataFrame(\n",
" data, columns=[\"Date Time\", \"Open\", \"High\", \"Low\", \"Close\", \"Volume\"]\n",
" )\n",
" df[\"Date Time\"] = pd.to_datetime(df[\"Date Time\"] / 1000, unit=\"s\")\n",
" df.set_index(\"Date Time\", inplace=True)\n",
" return df\n",
"\n",
"\n",
"def get_data(ticker, timeframe=\"5m\"):\n",
" # 取引所のリミットレート(アクセス制限)を超えないように設定\n",
" exchange = ccxt.ftx({\"enableRateLimit\": True})\n",
" df = data_to_df(\n",
" exchange.fetch_ohlcv(\n",
" ticker, \n",
" timeframe=timeframe, \n",
" params={\"reverse\": False})\n",
" )\n",
" return df\n"
],
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# データが取得できることを確認 \n",
"get_data(\"BTC-PERP\")"
],
"metadata": {
"id": "ugUKsZXQzbf0",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 455
},
"outputId": "ea527b6d-c0f1-4e2b-c288-f38e4f356a9b"
},
"execution_count": 3,
"outputs": [
{
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"<div>\n",
"<style scoped>\n",
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"\n",
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"\n",
" .dataframe thead th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date Time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2021-12-07 00:45:00</th>\n",
" <td>50727.0</td>\n",
" <td>50838.0</td>\n",
" <td>50672.0</td>\n",
" <td>50741.0</td>\n",
" <td>9.891512e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 00:50:00</th>\n",
" <td>50741.0</td>\n",
" <td>50780.0</td>\n",
" <td>50698.0</td>\n",
" <td>50717.0</td>\n",
" <td>8.618415e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 00:55:00</th>\n",
" <td>50717.0</td>\n",
" <td>50783.0</td>\n",
" <td>50670.0</td>\n",
" <td>50714.0</td>\n",
" <td>8.343132e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 01:00:00</th>\n",
" <td>50714.0</td>\n",
" <td>50754.0</td>\n",
" <td>50662.0</td>\n",
" <td>50720.0</td>\n",
" <td>9.115336e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 01:05:00</th>\n",
" <td>50720.0</td>\n",
" <td>50819.0</td>\n",
" <td>50720.0</td>\n",
" <td>50786.0</td>\n",
" <td>8.194111e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:25:00</th>\n",
" <td>49048.0</td>\n",
" <td>49048.0</td>\n",
" <td>48942.0</td>\n",
" <td>48979.0</td>\n",
" <td>2.558277e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:30:00</th>\n",
" <td>48979.0</td>\n",
" <td>49091.0</td>\n",
" <td>48963.0</td>\n",
" <td>49065.0</td>\n",
" <td>5.759390e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:35:00</th>\n",
" <td>49065.0</td>\n",
" <td>49083.0</td>\n",
" <td>49008.0</td>\n",
" <td>49037.0</td>\n",
" <td>3.450157e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:40:00</th>\n",
" <td>49037.0</td>\n",
" <td>49095.0</td>\n",
" <td>49005.0</td>\n",
" <td>49019.0</td>\n",
" <td>3.643253e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:45:00</th>\n",
" <td>49019.0</td>\n",
" <td>49044.0</td>\n",
" <td>48985.0</td>\n",
" <td>48996.0</td>\n",
" <td>1.145014e+06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1500 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume\n",
"Date Time \n",
"2021-12-07 00:45:00 50727.0 50838.0 50672.0 50741.0 9.891512e+06\n",
"2021-12-07 00:50:00 50741.0 50780.0 50698.0 50717.0 8.618415e+06\n",
"2021-12-07 00:55:00 50717.0 50783.0 50670.0 50714.0 8.343132e+06\n",
"2021-12-07 01:00:00 50714.0 50754.0 50662.0 50720.0 9.115336e+06\n",
"2021-12-07 01:05:00 50720.0 50819.0 50720.0 50786.0 8.194111e+06\n",
"... ... ... ... ... ...\n",
"2021-12-12 05:25:00 49048.0 49048.0 48942.0 48979.0 2.558277e+06\n",
"2021-12-12 05:30:00 48979.0 49091.0 48963.0 49065.0 5.759390e+06\n",
"2021-12-12 05:35:00 49065.0 49083.0 49008.0 49037.0 3.450157e+06\n",
"2021-12-12 05:40:00 49037.0 49095.0 49005.0 49019.0 3.643253e+06\n",
"2021-12-12 05:45:00 49019.0 49044.0 48985.0 48996.0 1.145014e+06\n",
"\n",
"[1500 rows x 5 columns]"
]
},
"metadata": {},
"execution_count": 3
}
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},
{
"cell_type": "markdown",
"metadata": {
"id": "_3SprhhundII"
},
"source": [
"## Backtesting.py について\n",
"- Backtesting.py は、取引ストラテジーのバックテストを行い、その有用性を評価するためのPythonフレームワークです(公式ドキュメント：[Backtesting.py - Backtest trading strategies in Python](https://kernc.github.io/backtesting.py/))。\n",
"- 今回、初めてBacktesting.pyを使ってみて、Pandasが得意な方にとってはとっつきやすいフレームワークという印象を受けました。そうでない方には難しく感じるかもしれません。\n",
"- ただ、 Pandas のことは知ってて損はないので、この機会に勉強してみたいという方には、このあたりがオススメです。\n",
" - [Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理](https://www.amazon.co.jp/dp/487311845X)\n",
" - [改訂版　Pythonユーザのための Jupyter［実践］入門 ](https://www.amazon.co.jp/dp/B08G1HYL9P)\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "1gyLgvqpS9Am"
},
"source": [
"# インストール \n",
"!pip install backtesting"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "w4Jcn0mVL3Z8"
},
"source": [
"### backtesting.py の勘所\n",
"\n",
"- ストラテジーの作り方\n",
" - `backtesting.Strategy` クラスを継承したクラスを作成\n",
" - `init` メソッドと `next` メソッドを上書きしてストラテジーを作成\n",
" - `init` メソッドで、シグナルを作るためのインディケータ等を記述\n",
" - `next` メソッドで、各バーごとにシグナルが発生しているかどうかを確かめてアクションをするコードを記述\n",
"- ポイント\n",
" - `init` メソッド内では、`I` メソッドを用いて、ストラテジーで使うインディケータを定義する。`I` メソッドの呼び出し時に渡すパラメータは、`インディケータ計算用関数`、ならびに、`インディケータ計算用のデータ`、 `関数に渡すパラメータ`\n",
" - インディケータ計算用のデータは pandas.Series型で渡す（例 `self.data[\"Close\"]` もしくは`self.data.Close`)\n",
" - なお、 `I` メソッドに渡されたデータは、その時点で `backtesting._util._Array` に変換される。**したがって、インディケータの計算時に pandas のメソッドを使いたい場合は、下記の`インディケータ計算用関数`の例 `SMA(values, n)` にあるように、いったん受け取った引数を Series や DataFrame に変換して扱う必要**がある。`インディケータ計算用関数`の返り値は pandas.Series のままで構わない。\n",
"- 例： [Quick Start User Guide](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html)を引用\n",
" - 移動平均クロスオーバー戦略\n",
" - 遅い移動平均(長期)と速い移動平均（短期）の2つの移動平均を使用\n",
" - 速い移動平均が遅い移動平均をうわ抜いたタイミングでロング、その逆でショートポジションを持つ\n",
"- メモ： [Backtesting.py のチュートリアル](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html)では、Pandas の SeriesのindexやDataframe のColumnsにアクセスするコードを `.` で記述していますが、これだと属性への記述との区別がわかりにくいので本稿では`[\"コラム名\"]` を使います\n",
" - 例：`self.data.Close` - > `self.data[\"Close\"]`\n",
"\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Kd4g5PJXO9I8"
},
"source": [
"import pandas as pd\n",
"from backtesting import Strategy\n",
"\n",
"\n",
"def SMA(values, n):\n",
" # I メソッド経由で渡ってくるデータはただの array なので、\n",
" # pandas.Series メソッドへ変換して移動平均を作る\n",
" return pd.Series(values).rolling(n).mean()\n",
"\n",
"\n",
"class SmaCross(Strategy):\n",
" n1 = 10\n",
" n2 = 20\n",
"\n",
" def init(self):\n",
" # まずは SMA を2本計算\n",
" self.sma1 = self.I(SMA, self.data[\"Close\"], self.n1) # 速い移動平均\n",
" self.sma2 = self.I(SMA, self.data[\"Close\"], self.n2) # 遅い移動平均\n",
"\n",
" def next(self):\n",
" # next メソッドは、バー毎に実行される\n",
" # 最新のバーは[-1]でアクセスできる。\n",
"\n",
" # 速い移動平均が遅い移動平均をうわ抜いたタイミングであれば、\n",
" if self.sma1[-2] < self.sma2[-2] and self.sma1[-1] > self.sma2[-1]:\n",
" # その時持っていたポジションをクローズして\n",
" self.position.close()\n",
" # ロングポジションを取る\n",
" self.buy()\n",
"\n",
" # その逆\n",
" elif self.sma1[-2] < self.sma2[-2] and self.sma1[-1] > self.sma2[-1]:\n",
" self.position.close()\n",
" self.sell()\n",
"\n"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
" なお、この crossover 戦略については、Backtesting.pyのライブラリのなかに、あらかじめ `crossover` 関数が用意されており以下のように書くこともできます\n",
"\n",
"\n",
"```python\n",
"from backtesting.lib import crossover\n",
"....\n",
"class SmaCross(Strategy):\n",
" ....\n",
" def next(self):\n",
" # 速い移動平均が遅い移動平均をうわ抜いたタイミングであれば、\n",
" if crossover(self.sma1, self.sma2):\n",
" self.position.close()\n",
" self.buy()\n",
"\n",
" # その逆\n",
" elif crossover(self.sma2, self.sma1):\n",
" self.position.close()\n",
" self.sell()\n",
"```"
],
"metadata": {
"id": "fzvM6qwXtiw8"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "kEYiHP3sVTuO"
},
"source": [
"### バックテストの実行\n",
"1. `Backtest` インスタンス（`bt`）を作成する\n",
"1. インスタンスの作成時に、データ、ストラテジー、初期投資額、手数料、シグナル発生時どのタイミングで取引をするか、などのオプションを渡す\n",
"1. `run` メソッドでバックテスト実行\n",
"1. 戻り値はバックテストの結果情報 (pandas.Series型)\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "IXwyEdwkVQ5g",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "aaee4291-17ab-4358-ef39-6371e35126c2"
},
"source": [
"from backtesting import Backtest\n",
"\n",
"df = get_data(\"ETH-PERP\")\n",
"bt = Backtest(\n",
" df, # データ\n",
" SmaCross, # ストラテジークラス\n",
" cash=10000, # 初期投資額\n",
" commission=0.002, # 取引手数料\n",
" trade_on_close = True, # False にするとシグナル発生後の次のバーのオープンで取引をする。default は False.\n",
")\n",
"# バックテスト実行\n",
"stats = bt.run() \n",
"# 結果を出力\n",
"print(stats)\n",
"\n"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Start 2021-12-07 00:45:00\n",
"End 2021-12-12 05:45:00\n",
"Duration 5 days 05:00:00\n",
"Exposure Time [%] 97.6\n",
"Equity Final [$] 8582.42\n",
"Equity Peak [$] 10090.4\n",
"Return [%] -14.1758\n",
"Buy & Hold Return [%] -7.36876\n",
"Return (Ann.) [%] -99.9621\n",
"Volatility (Ann.) [%] 0.0437179\n",
"Sharpe Ratio 0\n",
"Sortino Ratio 0\n",
"Calmar Ratio 0\n",
"Max. Drawdown [%] -16.464\n",
"Avg. Drawdown [%] -3.01793\n",
"Max. Drawdown Duration 4 days 20:55:00\n",
"Avg. Drawdown Duration 0 days 20:16:00\n",
"# Trades 49\n",
"Win Rate [%] 34.6939\n",
"Best Trade [%] 2.01236\n",
"Worst Trade [%] -5.34623\n",
"Avg. Trade [%] -0.343648\n",
"Max. Trade Duration 0 days 06:30:00\n",
"Avg. Trade Duration 0 days 02:30:00\n",
"Profit Factor 0.382343\n",
"Expectancy [%] -0.337338\n",
"SQN -2.12527\n",
"_strategy SmaCross\n",
"_equity_curve ...\n",
"_trades Size EntryB...\n",
"dtype: object\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "CDZGDu5TWUUK"
},
"source": [
"### バックテストの結果情報の確認\n",
"\n",
"- バックテストの評価結果は、`run` メソッドの返り値として得られます。この返り値は pandas.Seriesになっていて、項目名とその値の組み合わせが表の形で表されています。大部分の項目は、説明するまでもないかと思いますが、いくつか特徴的なものだけ以下に説明します。\n",
"\n",
" - `SQN `: シャープレシオから時間の概念を外して、代わりにトレードの回数の平方根を掛けたもの\n",
" - [ソースコード backtesting/_stats.py#L139](https://github.com/kernc/backtesting.py/blob/77f4c46b82169c2689e1c4ad5994765556179eb2/backtesting/_stats.py#L139)\n",
" ```\n",
" s.loc['SQN'] = np.sqrt(n_trades) * pl.mean() / (pl.std() or np.nan)\n",
" ```\n",
" - つまり\n",
" - トレード回数が多いほうが信用できるよね、でも10回トレードしたストラテジーと100回トレードしたストラテジーを比べたとき、10倍信用できるか、というと、うーん？って感じだよね。とりあえず平方根にしとくか。というくらいの意味かな？たぶん。\n",
" - 大きければ大きいほどよい。\n",
"\n",
" - `_strategy` はストラテジー実行時の情報を保持するインスタンス（pandas.Seriesの値にインスタンスが埋め込まれています。以下同様）\n",
" - `_equity_curve` は資金の増減を保持するインスタンス(pandas.DataFrame)\n",
" - `_trades` は取引履歴を保持するインスタンス(pandas.DataFrame)"
]
},
{
"cell_type": "code",
"source": [
"print(stats[\"_strategy\"])\n",
"print(dir(stats[\"_strategy\"]))\n"
],
"metadata": {
"id": "W3ZrvtNq54G2",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "0777b879-2af8-4b25-fc01-802a10e6b92b"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"SmaCross\n",
"['I', '_FULL_EQUITY', '_Strategy__FULL_EQUITY', '__abstractmethods__', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_abc_impl', '_broker', '_check_params', '_data', '_indicators', '_params', 'buy', 'closed_trades', 'data', 'equity', 'init', 'n1', 'n2', 'next', 'orders', 'position', 'sell', 'sma1', 'sma2', 'trades']\n"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "uGzuJf8rWsR-",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 237
},
"outputId": "5983b62d-c17c-445f-82d6-dd55c827edb7"
},
"source": [
"# 資金の増減\n",
"stats[\"_equity_curve\"].tail()\n"
],
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Equity</th>\n",
" <th>DrawdownPct</th>\n",
" <th>DrawdownDuration</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date Time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2021-12-12 05:25:00</th>\n",
" <td>8591.1936</td>\n",
" <td>0.148580</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:30:00</th>\n",
" <td>8607.7936</td>\n",
" <td>0.146935</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:35:00</th>\n",
" <td>8600.7936</td>\n",
" <td>0.147629</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:40:00</th>\n",
" <td>8598.5936</td>\n",
" <td>0.147847</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-12 05:45:00</th>\n",
" <td>8582.4224</td>\n",
" <td>0.149450</td>\n",
" <td>4 days 20:55:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Equity DrawdownPct DrawdownDuration\n",
"Date Time \n",
"2021-12-12 05:25:00 8591.1936 0.148580 NaT\n",
"2021-12-12 05:30:00 8607.7936 0.146935 NaT\n",
"2021-12-12 05:35:00 8600.7936 0.147629 NaT\n",
"2021-12-12 05:40:00 8598.5936 0.147847 NaT\n",
"2021-12-12 05:45:00 8582.4224 0.149450 4 days 20:55:00"
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "is5WZ006WvcJ",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"outputId": "b157b23f-398a-44c9-a8cc-b56b5ad18223"
},
"source": [
"# 取引履歴\n",
"stats[\"_trades\"].head()"
],
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Size</th>\n",
" <th>EntryBar</th>\n",
" <th>ExitBar</th>\n",
" <th>EntryPrice</th>\n",
" <th>ExitPrice</th>\n",
" <th>PnL</th>\n",
" <th>ReturnPct</th>\n",
" <th>EntryTime</th>\n",
" <th>ExitTime</th>\n",
" <th>Duration</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2</td>\n",
" <td>35</td>\n",
" <td>58</td>\n",
" <td>4347.9786</td>\n",
" <td>4345.2</td>\n",
" <td>-5.5572</td>\n",
" <td>-0.000639</td>\n",
" <td>2021-12-07 03:40:00</td>\n",
" <td>2021-12-07 05:35:00</td>\n",
" <td>0 days 01:55:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>58</td>\n",
" <td>68</td>\n",
" <td>4353.8904</td>\n",
" <td>4367.7</td>\n",
" <td>27.6192</td>\n",
" <td>0.003172</td>\n",
" <td>2021-12-07 05:35:00</td>\n",
" <td>2021-12-07 06:25:00</td>\n",
" <td>0 days 00:50:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>68</td>\n",
" <td>91</td>\n",
" <td>4376.4354</td>\n",
" <td>4389.2</td>\n",
" <td>25.5292</td>\n",
" <td>0.002917</td>\n",
" <td>2021-12-07 06:25:00</td>\n",
" <td>2021-12-07 08:20:00</td>\n",
" <td>0 days 01:55:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2</td>\n",
" <td>91</td>\n",
" <td>123</td>\n",
" <td>4397.9784</td>\n",
" <td>4416.5</td>\n",
" <td>37.0432</td>\n",
" <td>0.004211</td>\n",
" <td>2021-12-07 08:20:00</td>\n",
" <td>2021-12-07 11:00:00</td>\n",
" <td>0 days 02:40:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2</td>\n",
" <td>123</td>\n",
" <td>167</td>\n",
" <td>4425.3330</td>\n",
" <td>4396.3</td>\n",
" <td>-58.0660</td>\n",
" <td>-0.006561</td>\n",
" <td>2021-12-07 11:00:00</td>\n",
" <td>2021-12-07 14:40:00</td>\n",
" <td>0 days 03:40:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Size EntryBar ... ExitTime Duration\n",
"0 2 35 ... 2021-12-07 05:35:00 0 days 01:55:00\n",
"1 2 58 ... 2021-12-07 06:25:00 0 days 00:50:00\n",
"2 2 68 ... 2021-12-07 08:20:00 0 days 01:55:00\n",
"3 2 91 ... 2021-12-07 11:00:00 0 days 02:40:00\n",
"4 2 123 ... 2021-12-07 14:40:00 0 days 03:40:00\n",
"\n",
"[5 rows x 10 columns]"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mx3albqYSC-z"
},
"source": [
"### バックテスト結果の描画\n",
"\n",
"- `bt.run()` でバックテストを実行すると、 `bt._results.values` に結果が格納されており、その結果を `bt.plot()` で描画できる。\n",
"- `Strategy` クラスの `init` メソッドの中で `I`メソッドに渡したインディケータも描画される\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "bDPSaz7Eb4Is",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "2c75f50a-8ca1-41fc-fd7d-e1f097495cf9"
},
"source": [
"# 結果は _results.values でアクセス可\n",
"bt._results.values"
],
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([Timestamp('2021-12-07 00:45:00'), Timestamp('2021-12-12 05:45:00'),\n",
" Timedelta('5 days 05:00:00'), 97.6, 8582.422399999996,\n",
" 10090.434399999998, -14.175776000000043, -7.368759030341952,\n",
" -99.96208721580571, 0.043717913952352944, 0.0, 0.0, 0.0,\n",
" -16.464020617387852, -3.017929143160218,\n",
" Timedelta('4 days 20:55:00'), Timedelta('0 days 20:16:00'), 49,\n",
" 34.69387755102041, 2.0123648881880563, -5.346226235118934,\n",
" -0.34364828330187835, Timedelta('0 days 06:30:00'),\n",
" Timedelta('0 days 02:30:00'), 0.3823430905685494,\n",
" -0.33733792154105335, -2.125267177481227, <Strategy SmaCross>,\n",
" Equity DrawdownPct DrawdownDuration\n",
"Date Time \n",
"2021-12-07 00:45:00 10000.0000 0.000000 NaT\n",
"2021-12-07 00:50:00 10000.0000 0.000000 NaT\n",
"2021-12-07 00:55:00 10000.0000 0.000000 NaT\n",
"2021-12-07 01:00:00 10000.0000 0.000000 NaT\n",
"2021-12-07 01:05:00 10000.0000 0.000000 NaT\n",
"... ... ... ...\n",
"2021-12-12 05:25:00 8591.1936 0.148580 NaT\n",
"2021-12-12 05:30:00 8607.7936 0.146935 NaT\n",
"2021-12-12 05:35:00 8600.7936 0.147629 NaT\n",
"2021-12-12 05:40:00 8598.5936 0.147847 NaT\n",
"2021-12-12 05:45:00 8582.4224 0.149450 4 days 20:55:00\n",
"\n",
"[1500 rows x 3 columns],\n",
" Size EntryBar ... ExitTime Duration\n",
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"8 2 271 ... 2021-12-07 23:35:00 0 days 00:15:00\n",
"9 2 274 ... 2021-12-08 02:45:00 0 days 03:10:00\n",
"10 2 312 ... 2021-12-08 04:45:00 0 days 02:00:00\n",
"11 2 336 ... 2021-12-08 08:15:00 0 days 03:30:00\n",
"12 2 378 ... 2021-12-08 13:00:00 0 days 04:45:00\n",
"13 2 435 ... 2021-12-08 18:40:00 0 days 05:40:00\n",
"14 2 503 ... 2021-12-08 20:40:00 0 days 02:00:00\n",
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"18 2 626 ... 2021-12-09 07:55:00 0 days 03:00:00\n",
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"22 2 738 ... 2021-12-09 16:35:00 0 days 02:20:00\n",
"23 2 766 ... 2021-12-09 19:40:00 0 days 03:05:00\n",
"24 2 803 ... 2021-12-09 21:20:00 0 days 01:40:00\n",
"25 2 823 ... 2021-12-09 23:40:00 0 days 02:20:00\n",
"26 2 851 ... 2021-12-10 01:10:00 0 days 01:30:00\n",
"27 2 869 ... 2021-12-10 01:40:00 0 days 00:30:00\n",
"28 2 875 ... 2021-12-10 04:40:00 0 days 03:00:00\n",
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"32 2 993 ... 2021-12-10 13:40:00 0 days 02:10:00\n",
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"36 2 1176 ... 2021-12-11 03:10:00 0 days 00:25:00\n",
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"\n",
"[49 rows x 10 columns]], dtype=object)"
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"# 結果を描画\n",
"# SmaCross の init メソッド内で定義した、sma 2つ描画されることを確認\n",
"bt.plot()"
],
"metadata": {
"id": "B3DI_3Cu8EtD",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 724
},
"outputId": "0bd5796c-28ed-42c5-e1d0-e25b7946fc94"
},
"execution_count": 11,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/javascript": [
"\n",
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
" if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" var JS_MIME_TYPE = 'application/javascript';\n",
" var HTML_MIME_TYPE = 'text/html';\n",
" var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
" var CLASS_NAME = 'output_bokeh rendered_html';\n",
"\n",
" /**\n",
" * Render data to the DOM node\n",
" */\n",
" function render(props, node) {\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(script);\n",
" }\n",
"\n",
" /**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
" function handleClearOutput(event, handle) {\n",
" var cell = handle.cell;\n",
"\n",
" var id = cell.output_area._bokeh_element_id;\n",
" var server_id = cell.output_area._bokeh_server_id;\n",
" // Clean up Bokeh references\n",
" if (id != null && id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
"\n",
" if (server_id !== undefined) {\n",
" // Clean up Bokeh references\n",
" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
" cell.notebook.kernel.execute(cmd, {\n",
" iopub: {\n",
" output: function(msg) {\n",
" var id = msg.content.text.trim();\n",
" if (id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
" }\n",
" }\n",
" });\n",
" // Destroy server and session\n",
" var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
" cell.notebook.kernel.execute(cmd);\n",
" }\n",
" }\n",
"\n",
" /**\n",
" * Handle when a new output is added\n",
" */\n",
" function handleAddOutput(event, handle) {\n",
" var output_area = handle.output_area;\n",
" var output = handle.output;\n",
"\n",
" // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
" if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
"\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
"\n",
" if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
" toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
" // store reference to embed id on output_area\n",
" output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" }\n",
" if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
" for (var i = 0; i < script_attrs.length; i++) {\n",
" toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
" }\n",
"\n",
" function register_renderer(events, OutputArea) {\n",
"\n",
" function append_mime(data, metadata, element) {\n",
" // create a DOM node to render to\n",
" var toinsert = this.create_output_subarea(\n",
" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
" );\n",
" this.keyboard_manager.register_events(toinsert);\n",
" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
" }\n",
"\n",
" /* Handle when an output is cleared or removed */\n",
" events.on('clear_output.CodeCell', handleClearOutput);\n",
" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
" events.on('output_added.OutputArea', handleAddOutput);\n",
"\n",
" /**\n",
" * Register the mime type and append_mime function with output_area\n",
" */\n",
" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
" /* Is output safe? */\n",
" safe: true,\n",
" /* Index of renderer in `output_area.display_order` */\n",
" index: 0\n",
" });\n",
" }\n",
"\n",
" // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
" if (root.Jupyter !== undefined) {\n",
" var events = require('base/js/events');\n",
" var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
"\n",
" if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
" register_renderer(events, OutputArea);\n",
" }\n",
" }\n",
"\n",
" \n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
"\n",
" function display_loaded() {\n",
" var el = document.getElementById(null);\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS is loading...\";\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
"\n",
"\n",
" function run_callbacks() {\n",
" try {\n",
" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
" if (callback != null)\n",
" callback();\n",
" });\n",
" } finally {\n",
" delete root._bokeh_onload_callbacks\n",
" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, callback) {\n",
" if (css_urls == null) css_urls = [];\n",
" if (js_urls == null) js_urls = [];\n",
"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
"\n",
" function on_load() {\n",
" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
"\n",
" function on_error(url) {\n",
" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
" for (let i = 0; i < css_urls.length; i++) {\n",
" const url = css_urls[i];\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error.bind(null, url);\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n",
"\n",
" for (let i = 0; i < js_urls.length; i++) {\n",
" const url = js_urls[i];\n",
" const element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error.bind(null, url);\n",
" element.async = false;\n",
" element.src = url;\n",
" if (url in hashes) {\n",
" element.crossOrigin = \"anonymous\";\n",
" element.integrity = \"sha384-\" + hashes[url];\n",
" }\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" };\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" \n",
" var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n",
" var css_urls = [];\n",
" \n",
"\n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
" function(Bokeh) {\n",
" \n",
" \n",
" }\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" \n",
" if (root.Bokeh !== undefined || force === true) {\n",
" \n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
"\n",
" }\n",
"\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(css_urls, js_urls, function() {\n",
" console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(window));"
],
"application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"<div style='background-color: #fdd'>\\n\"+\n \"<p>\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"Volume\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"datetime\":{\"__ndarray__\":\"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b7j9spWMQUMjuPyLJ/yYMse4/3YGNLfzH7j9fxTWAr8/uP8PBMQ271u4/NMVvTEfn7j+kk/geJsjuP3I+yPR8tO4/cj7I9Hy07j9nEHIgHJruP8dzCcn6tO4/b4zwOD3W7j92JVUdasLuPwqQ9Ksxz+4/7G9cCGrf7j/y3TnWvfzuP/LdOda9/O4/WOjWrZYi7z8STE5QNw7vP8gPruNs+O4//Ra2yVXq7j/XyMdRLeDuP7XBooV44u4/4n1uy/QJ7z8902QpBgbvP4YBZEsD/e4/W3pNcjQF7z89TBSEn/buPz1MFISf9u4/V5PASUf37j+XyB4EkQPvP/oSQ9VcLO8/L/1k7zlu7z/9LoVq92nvP2mn/w8kre8/ggcfrd6f7z+grgf2DJ/vPwWrA4MYpu8/NE5c8YHb7z+PHAKqLMjvP+vqp2LXtO8/W+7loWPF7z/Z0VFxkM7vP4zj2UiG2u8/0bGc5/zS7z9GnGdPdvHvP0yue448zu8/gNyXlgXR7z8+IOk2VbXvPygSZdJTou8/UDk/KJyb7z9LABfH9a3vP44OYV9fqe8/0SpMQpbD7z+6oxiD+7/vP5c8tzPAw+8/Q1kRmPui7z8t0t3YYJ/vPzXykmL0mu8/gIDOB3iQ7z/3lSCGyn3vP49uneLlp+8/YQD64Cmi7z8Y0vq+LKvvP9oj7alJru8/V4AI1A+o7z8+mZiR7qXvP1zH0X+DtO8/sk6ujLqU7z9yGVDScIjvP9gVTF98j+8/Bf2eu9GF7z8/6zPKp4XvPxkklvfliu8/bzLDqYN67z/u7hpX0HLvP2vShib9e+8/CTbHHHhz7z/errBDqXvvP/cccSsxje8/MpJW322c7z+grgf2DJ/vP4on1DZym+8/6dwGGAqW7z818pJi9JrvPzQZp4TUq+8/9kBMPk2Y7z+1MgKm45zvP1T2fh/lku8/nSR+QeKJ7z8/b0tgSo/vP6/EJNiPf+8/OCiCtNaC7z/l8kDgWILvP/mgiMHTlu8/WmRc7Tiw7z8K75MfyKzvP6krwPNik+8/SGjsx/157z//spwAmnPvP/jyI/qMdu8/6bK55mV/7z/psrnmZX/vPx3h1e4ugu8/HeHV7i6C7z87Dw/dw5DvP2W9Odhyme8/bmQ/B22k7z8CSI7wzaHvPw5P0KJOq+8/QynvHRSY7z9f9+uIIqjvP0jpZyQhle8/XBBfYDWa7z+bRb0af6bvPzGJSIdmou8/8to6coOl7z8gwo3O2JvvPyEUKQeSe+8/K5QaFKx17z/TJbHeh4fvPyMiylFfmu8/Oan9EPqd7z/Pc9kiSKnvP08wMdCUoe8/Y1coDKmm7z+YXjDykZjvP3EQQnppju8/sh6MEtOJ7z/DbJdwx5/vP5g+S8JLke8/TbAPHcib7z/8YVtxN6nvP41svnx4t+8/hD5oqBed7z9GNJEEp1/vP5NJHU+RZO8/3HcccY5b7z8t+4WJzH3vP6j3ZDAMee8/XPB5MO+S7z8KG3Xf95DvP4BX238qj+8/UnCII9WY7z9kEC+6go7vPydwwu9ssO8/MWljVyCb7z+fDGUTJq3vP7p/j25Cqe8/EUrCMvTX7z+qdNrHyOHvP6W0YcG75O8/cf/0E4zS7z+I2MML4LXvP/KUOJ/4ue8/argraBjG7z84Y/s9b7LvPwD8ttT/we8/UtG7JffD7z9uGGjrnsTvPx/1OlbnoO8/SgOi1Byo7z/+P7HC64LvPyZnixg0fO8/+990P2WE7z9SnAa5SZTvP/imTN6+lu8/jurXSqaS7z+jcQsKQZbvP18Dhe5QnO8/hypfRJmV7z+TqlBRs4/vP0QOdGFie+8/bryeXBGE7z9Mp9hFj2fvP9lR/81Jd+8/R+dfP4Jq7z9Q4ACnNVXvP0jASx2iWe8/Yae7X8Nb7z9IR5zCCGnvP7N8wLC6Xe8/k/zriWxv7z+vHIQtNF/vP0CglpMOXu8/HTk1RNNh7z9Mp9hFj2fvPxlSqBvmU+8/XyBrulxM7z/NPBzR+07vP9lDXoN8WO8/bofp72NU7z9GOft3O0rvPwrrKebeS+8/1w6pFs8o7z9oGQwiEDfvP4Y5pMXXJu8//YOrsNdD7z9B8jHMxz3vPxdEB9EYNe8/yi57hi4w7z954MbanT3vP60O4+JmQO8/DyRSR4U57z9SueyEVUTvP6buLVnTRO8/JzLWq4ZM7z+vlTOIzU/vP2MH+OJJWu8/Ilmf9oQ67z8zIFqvEkHvPwSytq1WO+8/PBn7FsYr7z9AAIg/sznvP1aHu/5NPe8/lpUFl7c47z/vsdOTIkfvP3QupEd8PO8/99GIHbZC7z90LqRHfDzvP/1q7QHjLu8/FytJIiQg7z+sleiw6yzvPxIZNeNdQ+8/8BEQF6lF7z8kudt5CznvP6AV96PRMu8/m84t+F0m7z+lTh8FeCDvP4JuDlujM+8/JkAsH3JI7z82WYIQuS7vP8+DmqWNOO8/zvxJACcp7z9m8qwoTgPvP11yuxs0Ce8/yxW91zkb7z9kQNVsDiXvP1g5k7qNG+8/LGDhqAVE7z+fPAvGsUPvP4ZVm4OQQe8/u4O3i1lE7z+1wz6FTEfvP698ddnYOu8/GkwmG80Z7z8N5aflxRHvP8jv0CRvCO8/D5d/oQXw7j/NKPmFFfbuPzSFMZan++4/E34MyvL97j9Spck5b+vuP9/InxzD6+4/ofN95f/d7j81Xh10x+ruP4ATbTsr8e4/S14Ajvve7j/2KL+5fd7uP1e33Xg1yO4/Yb4fK7bR7j8hsNWSTNbuPzkQ9S8Hye4/o5e0VnKd7j+wd+LmEpbuP6plzqdMue4/TYmHpNSt7j8Rwga43r7uP8DsAWfnvO4/CJSw432k7j8SjVFLMY/uP0p75lkHj+4/mRfDSVij7j/BPp2foJzuPyDNu15Yhu4/6GV39eiV7j+/ZbHBgK3uP7qlOLtzsO4/EcIGuN6+7j8Z4rtBcrruP24X/RXwuu4/MskrhJO87j/eZuinUavuP4oKk7Hzme4/SHX4cyOP7j8gTh4e25XuP1Ic/qIdmu4/5dg4ap6G7j9L1TT3qY3uPwKnNdWslu4/frG1xrmw7j8Bzkn3jKfuP0acDJYDoO4/NqCccMhp7j/1P7efpY7uP5FRXF1npu4/hyMGiQaM7j9C3JOP9qLuPyOuWqFhlO4/QVVD6o+T7j9oozFiuJ3uP+MmYa5eqO4/n7jakm6u7j+EcS7Nxq3uP22VgX8hlu4/tsOAoR6N7j+JLsl9gnbuPzwZPTOYce4/iS7JfYJ27j9sYMwSdGbuP+aDv9uTcu4/e8dKSHtu7j/hSpd67YTuP2Xue1Ani+4/PaCN2P6A7j8rAOdBUYvuP53cEF/9iu4/ocOdh+qY7j/AQ3KuOIfuP+1R2Sxuju4/2aORS/N57j/7hlfM52DuP4TqtKguZO4/mjwz+xs47j+SHH5xiDzuP0xOu9IRRO4/xpw1sgof7j+6lfP/iRXuP6hu/MN1EO4/Vpn3cn4O7j8Ai8rA4B7uP8r8cTWRHe4/fjmBI2D47T/fa9ZTiqHtP+nrx2Ckm+0/rZ32zked7T+H1lj8haLtP7EL1Jybuu0/9Se/f9LU7T9ivR/xCsjtP32LHFwZ2O0/TQ/YD5Cz7T9sxGGji9HtP1H2ZDh9we0/GY8gzw3R7T8wdpARL9PtP9BgIa0Q2u0/cjI/cd/u7T/L1V0TsQzuPzv5wp5V6u0/BGtqEwbp7T/DXCB7nO3tP9k173Lw0O0/+GMoYYXf7T/V/MYRSuPtP48uBHPT6u0/lO58eeDn7T/UI9szKvTtP6aOIxCO3e0/BURW8SXY7T+aAJG4psTtPyedFvaTte0/RUT/PsK07T91i44enqntP+CZnupvje0/CyG1wz6F7T/l4GeW45ntP/vgSrAXju0/aP37xraQ7T+iPSwORnDtP1G6wvUHTu0/Dp7XEtEz7T+oT0BNDE3tP8/vyf3tNu0/qSgsKyw87T9h0xjnTjTtP+A91VviTO0/H+zicMVJ7T+svR0bYGrtP7W2voITVe0/ETPJAgVi7T8HOiibUXftP/+SImxXbO0/AnqvlER67T9Zln2Rr4jtP+7LZ7PJZe0/btxJ4c1c7T9PrhDzOE7tPzZAUAuxPO0/EctNcagh7T/4490uhx/tP/qVterG/ew/AhI0A+g57T/4490uhx/tP+zcm3wGFu0/n0C/jLUB7T+BICfp7RHtP3pSDZgT9uw/91yNiSAQ7T/nHCN2+RjtP8AD6mp+Pu0/cAfR96Yr7T9Ubon5RUvtP58j2cCpUe0/f6MEmltj7T9CzuJimFXtPyJCQ5zaW+0/4gzl4ZBP7T9VcF+ko17tP4hM4HOzge0/mIxKh9p47T82d9sivH/tPxKJKS4adO0/Ruz6opCm7T/KCI/TY53tP3HswNb4ju0/Kh7+N4KW7T/27+EvuZPtP+TI6vOkju0/OtcXpkJ+7T9ZV+zMkGztP03JWXWpU+0/VJdzxoNv7T8iUOTmp3rtP0RXCbNceO0/AcJudYxt7T8FqfudeXvtPwcwTEPgiu0/JV6FMXWZ7T8MdxXvU5ftP5RTIiY0i+0/8ghVB8yF7T+xc7rJ+3rtPyUp0MTHae0/KwNibedW7T/wBiwURDjtP+Fq+HGPAO0/WC6vtygO7T9AfPThtDvtP2PjVTHwN+0/CseHNIUp7T+vcZHWcy3tPyeVhJ+TOe0/9am+TkWF7T9QeGQH8HHtP8jfUb77Pu0/hOp6/aQ17T/TOC+pNSjtP7UK9rqgGe0/7erpfqn67D/F+MSVDjHtP2NqptZWR+0/ne1dxdpG7T8fMQYYjk7tP1sGKE9RXO0/4Vvk4MpA7T/BVL8UFkPtP2jmVd/xVO0/bzjJ4kBA7T/e28qeRlLtP1qxlSOmPO0/kp8qMnw87T8wfBqDkCTtP7zGBIjENe0/RLGyCXJI7T/3wjrhZ1TtP8OUHtmeUe0/FGojKpZT7T//aUA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Application\",\"version\":\"2.3.3\"}};\n",
" var render_items = [{\"docid\":\"13c41422-1359-48dd-8fc7-f3c85f417dbd\",\"root_ids\":[\"1433\"],\"roots\":{\"1433\":\"6d171a95-2795-4353-a143-7d898b6846c8\"}}];\n",
" root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
"\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (root.Bokeh !== undefined) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else {\n",
" attempts++;\n",
" if (attempts > 100) {\n",
" clearInterval(timer);\n",
" console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
" }\n",
" }\n",
" }, 10, root)\n",
" }\n",
"})(window);"
],
"application/vnd.bokehjs_exec.v0+json": ""
},
"metadata": {
"application/vnd.bokehjs_exec.v0+json": {
"id": "1433"
}
}
},
{
"output_type": "execute_result",
"data": {
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"Row(id='1433', ...)"
]
},
"metadata": {},
"execution_count": 11
}
]
},
{
"cell_type": "markdown",
"source": [
"### チャートの操作\n",
"\n",
"- ズームイン/アウトが可能\n",
"- 各チャートの左上にある指標名のクリックでプロットのON/OFF"
],
"metadata": {
"id": "d0he7MrjJtmv"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "ClD3k6VuX4uI"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TnCXAOZkFXNH"
},
"source": [
"## SuperTrendインディケータを用いた検討例\n",
"\n",
"- ここまで、簡単にBacktesting.py の使い方を説明しました。ここからは、もう少し踏み込んで、SuperTrendというインディケータを使ったストラテジーを書いてみます。今回このインディケータを選んだ理由は、[Quant Zone Rule Building Competition](https://help.ftx.com/hc/en-us/articles/360041935611-Quant-Zone-Rules-Examples)というFTX の大会で一番人気があったストラテジーがSuperTrendを使っていたからです。計算式は色々あるようですが、代表的なものは以下のような感じです。\n",
"\n",
"```\n",
"TrueRange(TR) = MAX(\n",
" (高値-安値), \n",
" abs(前日終値-高値),\n",
" abs(前日終値-安値)\n",
" )\n",
"ATR = EMA(TR, term)\n",
"HL = average(高値, 安値)\n",
"\n",
"BASIC_UPPERBAND = HL + ATR * multiplier\n",
"BASIC_LOWERBAND = HL - ATR * multiplier \n",
"\n",
"FINAL_UPPERBAND = \n",
" if (BASIC_UPPERBAND < PREV_FINAL_UPPERBAND) OR (PREV_FINAL_UPPERBAND < 前日終値): \n",
" BASIC_UPPERBAND \n",
" else: \n",
" PREV_FINAL_UPPERBAND\n",
"\n",
"FINAL_LOWERBAND = \n",
" if (前日終値 < PREV_FINAL_LOWERBAND ) OR (PREV_FINAL_LOWERBAND < BASIC_LOWERBAND): \n",
" BASIC_LOWERBAND \n",
" else: \n",
" PREV_FINAL_LOWERBAND\n",
"\n",
"SUPERTREND =\n",
" if PREV_SUPERTREND == PREV_FINAL_UPPERBAND: \n",
" if 終値 <= FINAL_UPPERBAND: \n",
" FINAL_UPPERBAND \n",
" else: \n",
" FINAL_LOWERBAND\n",
" elif PREV_SUPERTREND == PREV_FINAL_LOWERBAND: \n",
" if 終値 >= FINAL_LOWERBAND: \n",
" FINAL_LOWERBAND\n",
" else: \n",
" FINAL_UPPERBAND \n",
"\n",
"```\n",
"なんか、イライラしますね。ザックリ説明すると、\n",
"1. TrueRangeの指数平滑移動平均を作成(= ATR)\n",
"1. 高値安値の平均に、`1`を m倍した数値を上下に足してバンドを作る（= BASIC UPPERBANDとLOWERBAND）\n",
"1. `2`を前日の終値および前日のバンドと比べて最終的なバンドを決定（= FINAL UPPERBANDとLOWERBAND）\n",
"1. 最終的なバンドと、当日の終値および前日の最終バンドとの位置関係で、最終的なバンドの上下のうちの一つをSUPERTREND インディケータとする\n"
]
},
{
"cell_type": "markdown",
"source": [
"### SuperTrend テスト戦略\n",
"\n",
"- 以下のような前提で、バックテストをすることを考えます。\n",
" - ATRの term は 15 \n",
" - バンド幅 multiplier は 3\n",
" - 終値のEMAの term は 200\n",
" - シグナルは、SUPERTREND が 終値のEMA200より上だった場合ロングポジション、下だった場合はショートポジションをとってホールド\n"
],
"metadata": {
"id": "Gbyr8l3GCNJI"
}
},
{
"cell_type": "markdown",
"source": [
"### SuperTrendコード作成\n",
"\n",
"- 実際に Backtesting.py に SuperTrend を実装するときの、コーディング時のポイントを説明します。"
],
"metadata": {
"id": "DSW6eThw8eAD"
}
},
{
"cell_type": "markdown",
"source": [
"#### 【ポイント1】: インディケータで使うパラメータ等の計算は、あらかじめDataFrameで計算する\n",
"- Backtesting.py でインディケータの関数を書くよりも、pandas の DataFrame での操作のほうが1000倍クリアでラク\n",
"- 今回の場合は、`前日終値`、`High Lowの平均`、`TrueRange(TR) ` は、DataFrameの操作で用意\n"
],
"metadata": {
"id": "GRfr5VRh-uG0"
}
},
{
"cell_type": "code",
"metadata": {
"id": "6IBpA7-aSaAT"
},
"source": [
"def add_features(df):\n",
" df[\"Prev_Close\"] = df[\"Close\"].shift()\n",
" df[\"HL\"] = (df[\"High\"] + df[\"Low\"]) / 2\n",
" df[\"TR\"] = df.apply(\n",
" lambda row: max(\n",
" row[\"High\"] - row[\"Low\"],\n",
" abs(row[\"Prev_Close\"] - row[\"Low\"]),\n",
" abs(row[\"Prev_Close\"] - row[\"High\"]),\n",
" ),\n",
" axis=1,\n",
" )\n",
" return df\n"
],
"execution_count": 12,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# test\n",
"df = get_data(\"SOL-PERP\")\n",
"add_features(df).head()"
],
"metadata": {
"id": "vxArw5y3-kg-",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 237
},
"outputId": "c19f6904-7d30-4f07-edc2-907c4951147f"
},
"execution_count": 13,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>Prev_Close</th>\n",
" <th>HL</th>\n",
" <th>TR</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date Time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2021-12-07 00:45:00</th>\n",
" <td>195.3150</td>\n",
" <td>196.5025</td>\n",
" <td>195.1075</td>\n",
" <td>196.2225</td>\n",
" <td>4.778858e+06</td>\n",
" <td>NaN</td>\n",
" <td>195.80500</td>\n",
" <td>1.3950</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 00:50:00</th>\n",
" <td>196.2275</td>\n",
" <td>196.6075</td>\n",
" <td>195.7850</td>\n",
" <td>195.9600</td>\n",
" <td>1.788943e+06</td>\n",
" <td>196.2225</td>\n",
" <td>196.19625</td>\n",
" <td>0.8225</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 00:55:00</th>\n",
" <td>195.9600</td>\n",
" <td>196.9925</td>\n",
" <td>195.8250</td>\n",
" <td>196.8725</td>\n",
" <td>1.723634e+06</td>\n",
" <td>195.9600</td>\n",
" <td>196.40875</td>\n",
" <td>1.1675</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 01:00:00</th>\n",
" <td>196.8725</td>\n",
" <td>197.8000</td>\n",
" <td>196.6100</td>\n",
" <td>197.2475</td>\n",
" <td>1.410775e+07</td>\n",
" <td>196.8725</td>\n",
" <td>197.20500</td>\n",
" <td>1.1900</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021-12-07 01:05:00</th>\n",
" <td>197.2475</td>\n",
" <td>197.5475</td>\n",
" <td>196.0625</td>\n",
" <td>196.3950</td>\n",
" <td>2.264333e+06</td>\n",
" <td>197.2475</td>\n",
" <td>196.80500</td>\n",
" <td>1.4850</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High ... HL TR\n",
"Date Time ... \n",
"2021-12-07 00:45:00 195.3150 196.5025 ... 195.80500 1.3950\n",
"2021-12-07 00:50:00 196.2275 196.6075 ... 196.19625 0.8225\n",
"2021-12-07 00:55:00 195.9600 196.9925 ... 196.40875 1.1675\n",
"2021-12-07 01:00:00 196.8725 197.8000 ... 197.20500 1.1900\n",
"2021-12-07 01:05:00 197.2475 197.5475 ... 196.80500 1.4850\n",
"\n",
"[5 rows x 8 columns]"
]
},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "markdown",
"source": [
"#### 【ポイント2】: バックテスト結果のチャートに載せたいインディケータは、関数化してIメソッドで渡す\n",
"- `FINAL_UPPER_BAND`, `FINAL_LOWER_BAND`, `SUPERTREND_BAND` はバックテストの結果と一緒に描画してほしいので、`init`メソッドのなかで`I`メソッドを使って定義しておく\n"
],
"metadata": {
"id": "PeonOuse_TpP"
}
},
{
"cell_type": "code",
"source": [
"# SuperTrendを算出するための関数群\n",
"\n",
"def ATR(value_tr, period):\n",
" s = pd.Series(value_tr)\n",
" return s.ewm(alpha=1 / period, min_periods=period).mean()\n",
"\n",
"\n",
"def EMA(value, period):\n",
" s = pd.Series(value)\n",
" return s.ewm(alpha=1 / period, min_periods=period).mean()\n",
"\n",
"\n",
"def BASIC_BANDS(value_hl, value_atr, multiplier):\n",
" s_hl = pd.Series(value_hl)\n",
" s_atr = pd.Series(value_atr)\n",
"\n",
" basic_upper_band = s_hl + s_atr * multiplier\n",
" basic_lower_band = s_hl - s_atr * multiplier\n",
"\n",
" return basic_upper_band, basic_lower_band\n",
"\n",
"\n",
"def get_final_ub(basic_ub, prev_close, prev_final_ub):\n",
" if basic_ub < prev_final_ub or prev_final_ub < prev_close:\n",
" return basic_ub\n",
" else:\n",
" return prev_final_ub\n",
"\n",
"\n",
"def get_final_lb(basic_lb, prev_close, prev_final_lb):\n",
" if prev_close < prev_final_lb or prev_final_lb < basic_lb:\n",
" return basic_lb\n",
" else:\n",
" return prev_final_lb\n",
"\n",
"\n",
"def FINAL_UPPER_BAND(basic_ub, prev_close, period):\n",
" s_basic_ub = pd.Series(basic_ub)\n",
" s_prev_close = pd.Series(prev_close)\n",
" s_prev_final_ub = s_basic_ub.copy()\n",
"\n",
" for i in range(len(s_basic_ub)):\n",
" if i <= period:\n",
" continue # s_prev_final_ub.iloc[i] = s_basic_ub.iloc[i]\n",
" else:\n",
" s_prev_final_ub.iloc[i] = get_final_ub(\n",
" s_basic_ub.iloc[i], s_prev_close.iloc[i], s_prev_final_ub.iloc[i - 1]\n",
" )\n",
" return s_prev_final_ub\n",
"\n",
"\n",
"def FINAL_LOWER_BAND(basic_lb, prev_close, period):\n",
" s_basic_lb = pd.Series(basic_lb)\n",
" s_prev_close = pd.Series(prev_close)\n",
" s_prev_final_lb = s_basic_lb.copy()\n",
"\n",
" for i in range(len(s_basic_lb)):\n",
" if i <= period:\n",
" continue\n",
" s_prev_final_lb.iloc[i] = get_final_lb(\n",
" s_basic_lb.iloc[i], s_prev_close.iloc[i], s_prev_final_lb.iloc[i - 1]\n",
" )\n",
"\n",
" return s_prev_final_lb\n",
"\n",
"\n",
"def get_supertrend(close, prev_st, final_ub, prev_final_ub, final_lb, prev_final_lb):\n",
"\n",
" if prev_st == prev_final_ub:\n",
" if close <= final_ub:\n",
" st = final_ub\n",
" else:\n",
" return final_lb\n",
" elif prev_st == prev_final_lb:\n",
" if close >= final_lb:\n",
" st = final_lb\n",
" else:\n",
" st = final_ub\n",
" else:\n",
" st = None\n",
" return st\n",
"\n",
"\n",
"def SUPERTREND_BAND(close, final_ub, final_lb, period):\n",
" s_close = pd.Series(close)\n",
" s_final_ub = pd.Series(final_ub)\n",
" s_final_lb = pd.Series(final_lb)\n",
" s_supertrend = s_final_ub.copy() # 初期値としてUpperを渡すのがいいかどうかは悩ましいけど\n",
"\n",
" for i in range(len(s_close)):\n",
" if i <= period:\n",
" continue\n",
" close = s_close.iloc[i]\n",
" prev_st = s_supertrend.iloc[i - 1]\n",
" final_ub = s_final_ub.iloc[i]\n",
" prev_final_ub = s_final_ub.iloc[i - 1]\n",
" final_lb = s_final_lb.iloc[i]\n",
" prev_final_lb = s_final_lb.iloc[i - 1]\n",
"\n",
" s_supertrend.iloc[i] = get_supertrend(\n",
" close, prev_st, final_ub, prev_final_ub, final_lb, prev_final_lb\n",
" )\n",
" return s_supertrend\n"
],
"metadata": {
"id": "wFOecNX2Bnlp"
},
"execution_count": 14,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# SuperTrendストラテジーを作成\n",
"class SuperTrend(Strategy):\n",
" period = 15\n",
" ema_period = 200\n",
" multiplier = 3\n",
"\n",
" switch_position = 0\n",
"\n",
" def init(self):\n",
" self.atr = self.I(ATR, self.data.TR, self.period)\n",
" self.basic_ub, self.basic_lb = self.I(\n",
" BASIC_BANDS, self.data.HL, self.atr, self.multiplier\n",
" )\n",
" self.close_ema = self.I(EMA, self.data.Close, self.ema_period)\n",
"\n",
" self.final_ub = self.I(\n",
" FINAL_UPPER_BAND,\n",
" self.basic_ub,\n",
" self.data.Prev_Close,\n",
" self.period,\n",
" )\n",
"\n",
" self.final_lb = self.I(\n",
" FINAL_LOWER_BAND,\n",
" self.basic_lb,\n",
" self.data.Prev_Close,\n",
" self.period,\n",
" )\n",
"\n",
" self.supertrend = self.I(\n",
" SUPERTREND_BAND,\n",
" self.data.Close,\n",
" self.final_ub,\n",
" self.final_lb,\n",
" self.period,\n",
" )\n",
"\n",
" # シグナル確認 check_box\n",
" self.check_box = self.close_ema.copy()\n",
"\n",
" def next(self):\n",
" self.check_box[-1] = 0\n",
"\n",
" if self.switch_position:\n",
" self.switch_position = 0\n",
"\n",
" # simulation\n",
" if not self.position:\n",
" if self.supertrend[-1] > self.close_ema[-1]:\n",
" self.buy()\n",
" self.check_box[-1] = 1\n",
" self.switch_position = 1\n",
"\n",
" elif self.supertrend[-1] < self.close_ema[-1]:\n",
" self.sell()\n",
" self.check_box[-1] = 2\n",
" self.switch_position = 2\n",
" if (\n",
" self.supertrend[-2] > self.close_ema[-2]\n",
" and self.supertrend[-1] < self.close_ema[-1]\n",
" ):\n",
" self.position.close()\n",
" self.buy()\n",
" self.check_box[-1] = 3\n",
" self.switch_position = 3\n",
"\n",
" elif (\n",
" self.supertrend[-2] < self.close_ema[-2]\n",
" and self.supertrend[-1] > self.close_ema[-1]\n",
" ):\n",
" self.position.close()\n",
" self.sell()\n",
" self.check_box[-1] = 4\n",
" self.switch_position = 4\n"
],
"metadata": {
"id": "IkHkMRTzB586"
},
"execution_count": 15,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### テスト戦略の実行"
],
"metadata": {
"id": "6n9lrB4SkQHz"
}
},
{
"cell_type": "code",
"source": [
"def supertrend_test(df):\n",
" bt = Backtest(df, SuperTrend, trade_on_close = True, cash=100000, commission=0.001)\n",
" stats = bt.run()\n",
"\n",
" return (bt, stats)"
],
"metadata": {
"id": "j9KhbBoZFUok"
},
"execution_count": 16,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df = get_data(\"SOL-PERP\")\n",
"df = add_features(df)\n",
"bt, stats = supertrend_test(df)"
],
"metadata": {
"id": "nGXDld0fFqzV"
},
"execution_count": 17,
"outputs": []
},
{
"cell_type": "code",
"source": [
"stats"
],
"metadata": {
"id": "dQVH1J66Zc0s",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "085645d4-a62e-43ee-f36d-376bc41c0680"
},
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Start 2021-12-07 00:45:00\n",
"End 2021-12-12 05:45:00\n",
"Duration 5 days 05:00:00\n",
"Exposure Time [%] 86.6\n",
"Equity Final [$] 88824.9\n",
"Equity Peak [$] 105256\n",
"Return [%] -11.1751\n",
"Buy & Hold Return [%] -14.0262\n",
"Return (Ann.) [%] -99.9809\n",
"Volatility (Ann.) [%] 0.0161355\n",
"Sharpe Ratio 0\n",
"Sortino Ratio 0\n",
"Calmar Ratio 0\n",
"Max. Drawdown [%] -19.3816\n",
"Avg. Drawdown [%] -2.64611\n",
"Max. Drawdown Duration 3 days 19:00:00\n",
"Avg. Drawdown Duration 0 days 09:46:00\n",
"# Trades 17\n",
"Win Rate [%] 23.5294\n",
"Best Trade [%] 2.66019\n",
"Worst Trade [%] -6.25534\n",
"Avg. Trade [%] -0.695262\n",
"Max. Trade Duration 1 days 06:05:00\n",
"Avg. Trade Duration 0 days 06:23:00\n",
"Profit Factor 0.264948\n",
"Expectancy [%] -0.67828\n",
"SQN -1.48873\n",
"_strategy SuperTrend\n",
"_equity_curve ...\n",
"_trades Size EntryB...\n",
"dtype: object"
]
},
"metadata": {},
"execution_count": 18
}
]
},
{
"cell_type": "markdown",
"source": [
"### テスト戦略の描画\n",
"\n"
],
"metadata": {
"id": "LE9-GbwLkaOf"
}
},
{
"cell_type": "code",
"source": [
"bt.plot()"
],
"metadata": {
"id": "_Dp32E6oF7Dc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 814
},
"outputId": "ede873fd-acaf-453d-fda4-4d1e06aa3436"
},
"execution_count": 19,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/javascript": [
"\n",
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
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" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" var JS_MIME_TYPE = 'application/javascript';\n",
" var HTML_MIME_TYPE = 'text/html';\n",
" var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
" var CLASS_NAME = 'output_bokeh rendered_html';\n",
"\n",
" /**\n",
" * Render data to the DOM node\n",
" */\n",
" function render(props, node) {\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(script);\n",
" }\n",
"\n",
" /**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
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" var cell = handle.cell;\n",
"\n",
" var id = cell.output_area._bokeh_element_id;\n",
" var server_id = cell.output_area._bokeh_server_id;\n",
" // Clean up Bokeh references\n",
" if (id != null && id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
"\n",
" if (server_id !== undefined) {\n",
" // Clean up Bokeh references\n",
" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
" cell.notebook.kernel.execute(cmd, {\n",
" iopub: {\n",
" output: function(msg) {\n",
" var id = msg.content.text.trim();\n",
" if (id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
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" var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
" cell.notebook.kernel.execute(cmd);\n",
" }\n",
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"\n",
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"\n",
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" if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
"\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
"\n",
" if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
" toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
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" output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" }\n",
" if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
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" toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
" }\n",
"\n",
" function register_renderer(events, OutputArea) {\n",
"\n",
" function append_mime(data, metadata, element) {\n",
" // create a DOM node to render to\n",
" var toinsert = this.create_output_subarea(\n",
" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
" );\n",
" this.keyboard_manager.register_events(toinsert);\n",
" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
" }\n",
"\n",
" /* Handle when an output is cleared or removed */\n",
" events.on('clear_output.CodeCell', handleClearOutput);\n",
" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
" events.on('output_added.OutputArea', handleAddOutput);\n",
"\n",
" /**\n",
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" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
" /* Is output safe? */\n",
" safe: true,\n",
" /* Index of renderer in `output_area.display_order` */\n",
" index: 0\n",
" });\n",
" }\n",
"\n",
" // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
" if (root.Jupyter !== undefined) {\n",
" var events = require('base/js/events');\n",
" var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
"\n",
" if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
" register_renderer(events, OutputArea);\n",
" }\n",
" }\n",
"\n",
" \n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
"\n",
" function display_loaded() {\n",
" var el = document.getElementById(null);\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS is loading...\";\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
"\n",
"\n",
" function run_callbacks() {\n",
" try {\n",
" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
" if (callback != null)\n",
" callback();\n",
" });\n",
" } finally {\n",
" delete root._bokeh_onload_callbacks\n",
" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, callback) {\n",
" if (css_urls == null) css_urls = [];\n",
" if (js_urls == null) js_urls = [];\n",
"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
"\n",
" function on_load() {\n",
" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
"\n",
" function on_error(url) {\n",
" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
" for (let i = 0; i < css_urls.length; i++) {\n",
" const url = css_urls[i];\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error.bind(null, url);\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n",
"\n",
" for (let i = 0; i < js_urls.length; i++) {\n",
" const url = js_urls[i];\n",
" const element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error.bind(null, url);\n",
" element.async = false;\n",
" element.src = url;\n",
" if (url in hashes) {\n",
" element.crossOrigin = \"anonymous\";\n",
" element.integrity = \"sha384-\" + hashes[url];\n",
" }\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" };\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" \n",
" var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n",
" var css_urls = [];\n",
" \n",
"\n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
" function(Bokeh) {\n",
" \n",
" \n",
" }\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" \n",
" if (root.Bokeh !== undefined || force === true) {\n",
" \n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
"\n",
" }\n",
"\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(css_urls, js_urls, function() {\n",
" console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(window));"
],
"application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"<div style='background-color: #fdd'>\\n\"+\n \"<p>\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"</p>\\n\"+\n \"<ul>\\n\"+\n \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n \"<li>use INLINE resources instead, as so:</li>\\n\"+\n \"</ul>\\n\"+\n \"<code>\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"</code>\\n\"+\n \"</div>\"}};\n\n function display_loaded() {\n var el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/html": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" <div class=\"bk-root\" id=\"fe52edbc-da23-448e-abdf-cc4a6698a288\" data-root-id=\"2294\"></div>\n"
]
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"metadata": {}
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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"BASIC_BAN\\u2026(HL,ATR(TR,15),3)_1_2\":{\"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I9oQK7yo2dUj2hArvKjZ1SPaECu8qNnVI9oQK7yo2dUj2hArvKjZ1SPaECu8qNnVI9oQK7yo2dUj2hArvKjZ1SPaECu8qNnVI9oQK7yo2dUj2hArvKjZ1SPaEBN2kknzqFoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAylW3Tw6ZoQDKVbdPDpmhAMpVt08OmaEAXbrQFKhJoQFoCZUabH2hAWgJlRpsfaEBaAmVGmx9oQFoCZUabH2hAWgJlRpsfaEBaAmVGmx9oQOW0yQarMGhA5bTJBqswaEDltMkGqzBoQOW0yQarMGhA5bTJBqswaEDltMkGqzBoQOW0yQarMGhA5bTJBqswaEDltMkGqzBoQOW0yQarMGhA5bTJBqswaEDltMkGqzBoQA5mCwHHNWhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQDsHUdkTOmhAOwdR2RM6aEA7B1HZEzpoQID3Gm4Kv2dAgPcabgq/Z0CA9xpuCr9nQID3Gm4Kv2dAgPcabgq/Z0CA9xpuCr9nQID3Gm4Kv2dAgPcabgq/Z0CA9xpuCr9nQMR03Ge40mdAgKxvPVzaZ0CArG89XNpnQICsbz1c2mdAgKxvPVzaZ0CArG89XNpnQICsbz1c2mdAgKxvPVzaZ0CArG89XNpnQICsbz1c2mdAgKxvPVzaZ0CArG89XNpnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQP9BSqR+gWdA/0FKpH6BZ0D/QUqkfoFnQONTMrSBhGdAMKf180mLZ0C0x/vvJKtnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQFcCsWHXtmdAVwKxYde2Z0BXArFh17ZnQKFatlcfSmdAoVq2Vx9KZ0AhDGxY9EtnQFRNFOqWYGdAq5G780lkZ0CrkbvzSWRnQKuRu/NJZGdAq5G780lkZ0CrkbvzSWRnQKuRu/NJZGdAq5G780lkZ0CrkbvzSWRnQAOE+Oqk/WZAhd+r3PoFZ0Ak+GJuaBxnQFAm7xvSLWdACIclVlw3Z0AIhyVWXDdnQAiHJVZcN2dACIclVlw3Z0AIhyVWXDdnQAiHJVZcN2dACIclVlw3Z0AIhyVWXDdnQAiHJVZcN2dACIclVlw3Z0AIhyVWXDdnQAiHJVZcN2dAKoQ5DS44Z0BzeGWAFkFnQNYvc65cTWdA1i9zrlxNZ0DWL3OuXE1nQNYvc65cTWdA1i9zrlxNZ0DWL3OuXE1nQNYvc65cTWdA1i9zrlxNZ0DWL3OuXE1nQMk50dzHV2dAsmmecihqZ0BzCXEpcHlnQHMJcSlweWdAw/J2kj97Z0DD8naSP3tnQMPydpI/e2dAv1f0Ui2EZ0C/V/RSLYRnQL9X9FIthGdAv1f0Ui2EZ0C/V/RSLYRnQL9X9FIthGdAv1f0Ui2EZ0C/V/RSLYRnQL9X9FIthGdAv1f0Ui2EZ0C/V/RSLYRnQL9X9FIthGdAv1f0Ui2EZ0C/V/RSLYRnQL9X9FIthGdAv1f0Ui2EZ0C/V/RSLYRnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0AgWaM5AZFnQCBZozkBkWdAIFmjOQGRZ0B5CTMfwkNnQHkJMx/CQ2dAeQkzH8JDZ0ArbWeUuE1nQNjxYwUFZGdA2PFjBQVkZ0DY8WMFBWRnQNjxYwUFZGdA2PFjBQVkZ0DY8WMFBWRnQJhcWcdJ0WZAmFxZx0nRZkCYXFnHSdFmQJhcWcdJ0WZAmFxZx0nRZkCYXFnHSdFmQJhcWcdJ0WZAmFxZx0nRZkCdke9ZGNZmQJ2R71kY1mZAnZHvWRjWZkCdke9ZGNZmQJ2R71kY1mZAnZHvWRjWZkCdke9ZGNZmQMWiR5dC12ZA6frHiQftZkDp+seJB+1mQOn6x4kH7WZA6frHiQftZkDp+seJB+1mQOn6x4kH7WZA6frHiQftZkDp+seJB+1mQOn6x4kH7WZA68kqyCH7ZkDQ2QcZDRlnQNXFtnslG2dArtaY3OQjZ0AkojhqhjhnQCSiOGqGOGdAJKI4aoY4Z0AkojhqhjhnQCSiOGqGOGdAJKI4aoY4Z0AkojhqhjhnQCSiOGqGOGdAJKI4aoY4Z0AkojhqhjhnQCSiOGqGOGdAJKI4aoY4Z0AkojhqhjhnQCSiOGqGOGdAjEpRz3tKZ0A4KJ+4QVdnQFsB4eA3b2dAP6vDkxt8Z0A/q8OTG3xnQKpn9KtGfmdAO7z+NTCfZ0A1Dd4bh7xnQIbNHy26v2dA0zHe9LXHZ0CcXXka0s9nQN3BPlok32dA3cE+WiTfZ0DHDgKM4/1nQMcOAozj/WdAxw4CjOP9Z0DHDgKM4/1nQMcOAozj/WdAxw4CjOP9Z0DHDgKM4/1nQMcOAozj/WdAxw4CjOP9Z0DHDgKM4/1nQMcOAozj/WdAxw4CjOP9Z0DHDgKM4/1nQMcOAozj/WdAdbRLhBl4Z0B1tEuEGXhnQHW0S4QZeGdAimihMIF6Z0DtNz214YdnQO03PbXhh2dATnV5M3aKZ0Bxlt42hqVnQL9vQjWXrGdAv29CNZesZ0C/b0I1l6xnQL9vQjWXrGdA7pG7y0+vZ0DukbvLT69nQO6Ru8tPr2dA7pG7y0+vZ0DukbvLT69nQCxnePJevmdALGd48l6+Z0AsZ3jyXr5nQCxnePJevmdA+mmlTrzLZ0C2L2dJONVnQHWpfTUK22dAV3vvFRPhZ0BXe+8VE+FnQFd77xUT4WdAV3vvFRPhZ0DBrtgp0uhnQC/fyHDQ7GdADeLaHtvwZ0BsV4cfSvFnQGxXhx9K8WdAbFeHH0rxZ0BsV4cfSvFnQGxXhx9K8WdAq6a/d7TyZ0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAT2YQYAn4Z0BPZhBgCfhnQE9mEGAJ+GdAKkb4K7OjZ0ADn3EBrKxnQHDOXzuFtWdAcM5fO4W1Z0Bwzl87hbVnQHDOXzuFtWdAcM5fO4W1Z0DgHpC6lbxnQOAekLqVvGdA4B6QupW8Z0DgHpC6lbxnQDLD9LlExGdAf/yXEr3LZ0DiLbgSvNRnQGOmvQ5U4GdAY6a9DlTgZ0Bjpr0OVOBnQGOmvQ5U4GdAY6a9DlTgZ0Bjpr0OVOBnQLMgfwJt6WdAC8MXsar6Z0ALwxexqvpnQAvDF7Gq+mdAC8MXsar6Z0ALwxexqvpnQAvDF7Gq+mdApoT6hf4AaEDUQ1LspwVoQHlUKy8wD2hAeVQrLzAPaEAwfFShXiloQMBegcyzQWhAwF6BzLNBaEDAXoHMs0FoQMBegcyzQWhAwF6BzLNBaEDAXoHMs0FoQMBegcyzQWhAwF6BzLNBaEDAXoHMs0FoQMBegcyzQWhAwF6BzLNBaEDAXoHMs0FoQHcnLv+V1GdAocaBtX/WZ0DX2nueXuRnQGf9rvt05mdAZ/2u+3TmZ0Bn/a77dOZnQDzzmP9n52dAPPOY/2fnZ0A885j/Z+dnQDzzmP9n52dAPPOY/2fnZ0A885j/Z+dnQDzzmP9n52dAPPOY/2fnZ0A885j/Z+dnQGndre2NgGdAad2t7Y2AZ0AHhe8t6IZnQMIVaLPYiWdAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAOmYIpJOLZ0A6Zgikk4tnQDpmCKSTi2dAaQ9JUveWZ0CSpB4FfZxnQOkmtMgxpmdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKkWNDaHsGdAqRY0NoewZ0CpFjQ2h7BnQKk/U2YQU2dAgKL18jhrZ0DYArCmWGtnQNgCsKZYa2dAwHDRf050Z0BrRtfjY3dnQApBZXQRhWdACkFldBGFZ0AShQ3BNo5nQBKFDcE2jmdAEoUNwTaOZ0AShQ3BNo5nQBKFDcE2jmdAEoUNwTaOZ0AShQ3BNo5nQBKFDcE2jmdAEoUNwTaOZ0AShQ3BNo5nQBKFDcE2jmdAEoUNwTaOZ0AShQ3BNo5nQBKFDcE2jmdAEoUNwTaOZ0AShQ3BNo5nQBKFDcE2jmdA6eKTSmE0Z0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQHJ+Aaw4Q2dAcn4BrDhDZ0ByfgGsOENnQCMo+PA1R2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQDep6QtCS2dAN6npC0JLZ0A3qekLQktnQMPmLrI7XWdAw+YusjtdZ0DD5i6yO11nQMPmLrI7XWdAw+YusjtdZ0CFC1P9wl5nQIULU/3CXmdAhQtT/cJeZ0CFC1P9wl5nQIULU/3CXmdAhQtT/cJeZ0AudGhsuuVmQNNgBzQM52ZA02AHNAznZkDTYAc0DOdmQNNgBzQM52ZA02AHNAznZkBws57rIOpmQK8F11iA62ZArwXXWIDrZkCvBddYgOtmQK8F11iA62ZArwXXWIDrZkCXEqzPzYBmQDlhpZ0dgWZA5f1RcC+fZkCFy0n8ZqtmQIXLSfxmq2ZA6e5KNuy8ZkDp7ko27LxmQOnuSjbsvGZA6e5KNuy8ZkDp7ko27LxmQOnuSjbsvGZA6e5KNuy8ZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQAmQqG9pyWZACZCob2nJZkAJkKhvaclmQK6IfeICT2ZAroh94gJPZkCuiH3iAk9mQK6IfeICT2ZAroh94gJPZkCuiH3iAk9mQK6IfeICT2ZAroh94gJPZkCuiH3iAk9mQK6IfeICT2ZAroh94gJPZkCuiH3iAk9mQKvho8crUmZAnHxor3ZXZkASTtgMl2lmQBJO2AyXaWZAEk7YDJdpZkByobn7/G5mQHKhufv8bmZAcqG5+/xuZkByobn7/G5mQHKhufv8bmZAcqG5+/xuZkByobn7/G5mQHKhufv8bmZAcqG5+/xuZkByobn7/G5mQNxMB+hOAmZA3bDIjEUEZkAi0sLLdA1mQPiSnImDGmZAjW7JK5o3ZkClJcKHR0FmQML2qqdaR2ZAwvaqp1pHZkAml/KClFJmQH4CUTeWU2ZAHqT3+pBYZkAepPf6kFhmQFSzxVTlZGZAMMq1BFVxZkA3Uv7ku39mQDdS/uS7f2ZA5Nq0fqOBZkBO9y/ztZNmQE73L/O1k2ZATvcv87WTZkCnBP9GWZlmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZA+rtTmnumZkD6u1Oae6ZmQPq7U5p7pmZAksy6MjZeZkDVjzfGgWdmQD6G3pbwdmZALmpgwYWDZkAuamDBhYNmQC5qYMGFg2ZACt2iOgOVZkAhY++U8JZmQCFj75TwlmZAIWPvlPCWZkAhY++U8JZmQCFj75TwlmZAIWPvlPCWZkCcJ4lJxzVmQC3KhDHCU2ZAUdd3HNpoZkD58+X9+XxmQPnz5f35fGZA+fPl/fl8ZkD58+X9+XxmQMrAJ2Y7gGZAysAnZjuAZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAeAoA0P2LZkB4CgDQ/YtmQHgKAND9i2ZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQJlFmDRXQmZAmUWYNFdCZkCZRZg0V0JmQKVSgZNe7WVApVKBk17tZUClUoGTXu1lQKVSgZNe7WVAjdcu17/xZUCzbWZEPPJlQO/SE5E3+WVA79ITkTf5ZUB6SrXQwwVmQINFurGlB2ZAZLq211sNZkA78hCFIhFmQDvyEIUiEWZAO/IQhSIRZkA78hCFIhFmQDvyEIUiEWZAO/IQhSIRZkA78hCFIhFmQDvyEIUiEWZAO/IQhSIRZkA78hCFIhFmQGc6F2gHumVAZzoXaAe6ZUBnOhdoB7plQCxOKk/XvmVA/63oEdzEZUD/regR3MRlQP+t6BHcxGVA/63oEdzEZUD/regR3MRlQP+t6BHcxGVA/63oEdzEZUD/regR3MRlQP+t6BHcxGVA/63oEdzEZUD/regR3MRlQP+t6BHcxGVA/63oEdzEZUDS8HrQfM5lQNLwetB8zmVA0vB60HzOZUBWJAvondplQFYkC+id2mVAViQL6J3aZUBWJAvondplQFYkC+id2mVAViQL6J3aZUBWJAvondplQFYkC+id2mVAViQL6J3aZUBWJAvondplQFYkC+id2mVAViQL6J3aZUBWJAvondplQMAw4eKO4mVAwDDh4o7iZUDAMOHijuJlQDFjH5l/42VAd9dCgXrkZUB/djOCsullQHGEtoEw7WVAdB89cibvZUBXOeuhNfNlQG6j36iE+GVA2wmlkI37ZUDbCaWQjftlQNsJpZCN+2VA2wmlkI37ZUCTSyISUARmQJNLIhJQBGZAk0siElAEZkCTSyISUARmQJNLIhJQBGZAk0siElAEZkCTSyISUARmQJNLIhJQBGZAk0siElAEZkAvv2gSgQpmQC+/aBKBCmZA45REymgiZkCeURT02UNmQMgQiS1PRmZAyBCJLU9GZkDIEIktT0ZmQMgQiS1PRmZAyBCJLU9GZkDIEIktT0ZmQMgQiS1PRmZAyBCJLU9GZkDIEIktT0ZmQMgQiS1PRmZAyBCJLU9GZkDIEIktT0ZmQMgQiS1PRmZAyBCJLU9GZkDIEIktT0ZmQMgQiS1PRmZAyBCJLU9GZkDfup0uK0xmQBohc0V8amZAGiFzRXxqZkAaIXNFfGpmQGLLE/mjeWZAhltGbht+ZkAM4sr9m4lmQAziyv2biWZADOLK/ZuJZkAM4sr9m4lmQAziyv2biWZADOLK/ZuJZkAM4sr9m4lmQAziyv2biWZADOLK/ZuJZkDtC3YJE7hlQO0LdgkTuGVA7Qt2CRO4ZUDtC3YJE7hlQO0LdgkTuGVA7Qt2CRO4ZUDtC3YJE7hlQO0LdgkTuGVA7Qt2CRO4ZUDtC3YJE7hlQO0LdgkTuGVA7Qt2CRO4ZUDtC3YJE7hlQO0LdgkTuGVA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDvNbucwBNlQO81u5zAE2VA7zW7nMATZUDO4FrRTy1lQNIYfVU1R2VAIiSFUp5SZUAiJIVSnlJlQCIkhVKeUmVAIiSFUp5SZUAiJIVSnlJlQCIkhVKeUmVAIiSFUp5SZUAiJIVSnlJlQCIkhVKeUmVAIiSFUp5SZUAiJIVSnlJlQCIkhVKeUmVAIiSFUp5SZUAiJIVSnlJlQCIkhVKeUmVAIiSFUp5SZUCFiprLElRlQOdwfFFdV2VA2Qu3hIVXZUBFaZjFZmJlQANY2VgAZGVAI+CS7sRqZUDcCUBpfHdlQFbkeSVnf2VAVuR5JWd/ZUAhMN09SoVlQCEw3T1KhWVAITDdPUqFZUAhMN09SoVlQCEw3T1KhWVAITDdPUqFZUB3Kxi+eIplQHayqi33kWVAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAAisn+g6TZUACKyf6DpNlQAIrJ/oOk2VAQGRyqYExZUBAZHKpgTFlQKXlmfxpO2VAs9c0mxw/ZUCz1zSbHD9lQLPXNJscP2VAs9c0mxw/ZUCz1zSbHD9lQLPXNJscP2VAs9c0mxw/ZUCz1zSbHD9lQLPXNJscP2VAs9c0mxw/ZUCz1zSbHD9lQLPXNJscP2VAs9c0mxw/ZUCz1zSbHD9lQDfzFurUmGRAN/MW6tSYZEA38xbq1JhkQDfzFurUmGRAPibFzirDY0Bga7sZ58ljQJM6EdNAImRAFYH30TtHZEBdZSKSZWVkQF1lIpJlZWRAXWUikmVlZEBdZSKSZWVkQF1lIpJlZWRAXWUikmVlZEBdZSKSZWVkQF1lIpJlZWRAXWUikmVlZEBdZSKSZWVkQF1lIpJlZWRAXWUikmVlZEDwPmxR44JkQMjKE7MVimRAyMoTsxWKZEDIyhOzFYpkQMjKE7MVimRAyMoTsxWKZEBv/BA5UpNkQG/8EDlSk2RAb/wQOVKTZEBv/BA5UpNkQG/8EDlSk2RAb/wQOVKTZEBv/BA5UpNkQG/8EDlSk2RAb/wQOVKTZEBv/BA5UpNkQG/8EDlSk2RAJXXLsseTZEBIskMpBrVkQMqabQZ10GRAS94MwTznZEBB1OdEbfJkQBX+gEhW/mRAFf6ASFb+ZEAV/oBIVv5kQBX+gEhW/mRAFf6ASFb+ZEAV/oBIVv5kQBX+gEhW/mRAFf6ASFb+ZEAV/oBIVv5kQBX+gEhW/mRAFf6ASFb+ZEAV/oBIVv5kQBX+gEhW/mRAFf6ASFb+ZEAV/oBIVv5kQBX+gEhW/mRAFf6ASFb+ZEDie3+d+AFlQOnGGFCeBmVA6cYYUJ4GZUDpxhhQngZlQOnGGFCeBmVA6cYYUJ4GZUDpxhhQngZlQHXni76XFmVA/iuqRikeZUD+K6pGKR5lQOFOFeU7JWVA4U4V5TslZUDhThXlOyVlQOFOFeU7JWVA4U4V5TslZUDhThXlOyVlQOFOFeU7JWVA4U4V5TslZUDhThXlOyVlQOFOFeU7JWVA4U4V5TslZUDhThXlOyVlQOFOFeU7JWVAgPXVy2vFZECA9dXLa8VkQID11ctrxWRAgPXVy2vFZECA9dXLa8VkQJtkoiUQ1GRAm2SiJRDUZECbZKIlENRkQJtkoiUQ1GRAm2SiJRDUZECbZKIlENRkQBgc4xBP12RAGBzjEE/XZEAYHOMQT9dkQCBjReOd2mRAIGNF453aZEAgY0XjndpkQEOj/yZ442RATofdm+f1ZEAcWj35Fg1lQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQMVwpPdyJWVAxXCk93IlZUDFcKT3ciVlQCXkiNwuJmVACwRurv4vZUALBG6u/i9lQAsEbq7+L2VACwRurv4vZUALBG6u/i9lQAsEbq7+L2VACwRurv4vZUALBG6u/i9lQAsEbq7+L2VA44Mb5Wc6ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAYc4QtY46ZUBhzhC1jjplQGHOELWOOmVAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQKnsYgV34WRAqexiBXfhZECp7GIFd+FkQFSHcRbk4mRA0veUE5blZEDS95QTluVkQLpdrCTx8WRAul2sJPHxZEC6Xawk8fFkQLpdrCTx8WRAul2sJPHxZEBGaXBg6fpkQHVO68e7BWVApb7SmXYOZUCFPHjSHhBlQIU8eNIeEGVAqp1OdnUXZUByn36q0htlQHKffqrSG2VARgjeGUckZUBGCN4ZRyRlQGiCDd0COmVALMbayFxPZUDlYBvljWhlQOVgG+WNaGVA5WAb5Y1oZUDlYBvljWhlQOVgG+WNaGVA5WAb5Y1oZUDlYBvljWhlQOVgG+WNaGVA5WAb5Y1oZUDlYBvljWhlQOVgG+WNaGVA5WAb5Y1oZUDlYBvljWhlQOVgG+WNaGVA5WAb5Y1oZUBTGW8o4xxlQFMZbyjjHGVAUxlvKOMcZUBTGW8o4xxlQFMZbyjjHGVAUxlvKOMcZUBTGW8o4xxlQFMZbyjjHGVAUxlvKOMcZUBTGW8o4xxlQFMZbyjjHGVAUxlvKOMcZUBTGW8o4xxlQFMZbyjjHGVAUxlvKOMcZUDXXyd8JtdkQNdfJ3wm12RA118nfCbXZEDXXyd8JtdkQNdfJ3wm12RA118nfCbXZEDXXyd8JtdkQNdfJ3wm12RA118nfCbXZEDXXyd8JtdkQNdfJ3wm12RA118nfCbXZEDXXyd8JtdkQNdfJ3wm12RA118nfCbXZED8NPC+R+BkQHK/MKMY6WRAH367xtTqZEBpExYMWuxkQMou5rPT8mRAKt0QBGb+ZECGttXazwFlQIa21drPAWVAhrbV2s8BZUCGttXazwFlQIa21drPAWVAhrbV2s8BZUCGttXazwFlQIa21drPAWVAhrbV2s8BZUCGttXazwFlQIa21drPAWVANITjeJrFZECcduesbMlkQCKBwT9B1WRAsriAgrrhZEBqEfVj9O9kQGhBQvgz+GRAaEFC+DP4ZEDbs5yp1fhkQJPiHsHV+2RAk+IewdX7ZECT4h7B1ftkQJPiHsHV+2RAaeK5m5oJZUCDlIa1IRxlQIOUhrUhHGVA6jSotJ0mZUDqNKi0nSZlQOo0qLSdJmVAgj3efoQtZUCCPd5+hC1lQII93n6ELWVAdDSmunkzZUCg21bQpDxlQESuh3DQRWVARK6HcNBFZUBErodw0EVlQESuh3DQRWVARK6HcNBFZUBErodw0EVlQESuh3DQRWVARK6HcNBFZUBErodw0EVlQESuh3DQRWVA/AdXmAFJZUD8B1eYAUllQPwHV5gBSWVANC7xwcv/ZEBdNclHpgJlQF01yUemAmVAXTXJR6YCZUBy4cw5BgtlQHLhzDkGC2VAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUBgc8SB/xllQGBzxIH/GWVAYHPEgf8ZZUDgIwqQ1d1kQFr/kagc4GRAV9KR7vfsZEAsvrHRo/RkQClcHSrd9WRAKVwdKt31ZEApXB0q3fVkQClcHSrd9WRAKVwdKt31ZEApXB0q3fVkQClcHSrd9WRAKVwdKt31ZEApXB0q3fVkQClcHSrd9WRAKVwdKt31ZEApXB0q3fVkQClcHSrd9WRAKVwdKt31ZEApXB0q3fVkQClcHSrd9WRA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"FINAL_UPP\\u2026(BASIC_BAN\\u2026,Prev_Close,15)_3_1\":{\"__ndarray__\":\"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etRuB5fZ0DXo3A9Cl1nQOF6FK5HU2dAj8L1KFxbZ0AUrkfhek5nQOxRuB6FMWdAj8L1KFxHZ0CuR+F6FFJnQMP1KFyPWGdAj8L1KFxvZ0BI4XoUrmlnQClcj8L1XGdAUrgehetXZ0AAAAAAAFBnQHE9CtejPGdAFK5H4XpkZ0CF61G4HmFnQDMzMzMza2dArkfhehSQZ0BI4XoUrpNnQArXo3A9mGdA4XoUrke3Z0D2KFyPwrVnQAAAAAAArmdArkfhehSeZ0CuR+F6FJBnQClcj8L1iGdA7FG4HoWpZ0DXo3A9CqVnQPYoXI/CmWdAhetRuB6lZ0AzMzMzM51nQJqZmZmZiWdA4XoUrkeFZ0DsUbgehYFnQB+F61G4pGdAw/UoXI/QZ0B7FK5H4dRnQFK4HoXrEWhASOF6FK4VaEAAAAAAAAZoQGZmZmZmCmhAhetRuB5TaEAK16NwPWRoQArXo3A9XGhAPQrXo3BjaEAzMzMzM2VoQGZmZmZmZmhAw/UoXI9waEBxPQrXo5hoQM3MzMzMiGhAmpmZmZlraEA9CtejcF1oQHsUrkfhOGhA9ihcj8IjaEDNzMzMzB5oQB+F61G4JGhAzczMzMxGaEDNzMzMzD5oQClcj8L1OmhApHA9CtcxaEAK16NwPRZoQKRwPQrXB2hAmpmZmZn5Z0AK16NwPeJnQOF6FK5H8WdAPQrXo3D3Z0CkcD0K1wVoQOF6FK5HBWhAUrgehesJaEC4HoXrUShoQBSuR+F6JmhAj8L1KFwdaEBSuB6F6xFoQHE9CtejHmhAcT0K16MgaEC4HoXrURRoQLgehetREGhAKVyPwvUOaEDD9ShcjxxoQMP1KFyPMGhAKVyPwvU0aEBSuB6F6yVoQLgehetRNGhAj8L1KFw1aEDD9Shcjz5oQLgehetRRGhAPQrXo3BXaED2KFyPwkloQIXrUbgeR2hAuB6F61FCaEAUrkfhelBoQGZmZmZmUGhACtejcD1WaEAzMzMzM1NoQOF6FK5HTWhAKVyPwvVOaEBxPQrXo05oQI/C9ShcS2hAMzMzMzNdaEBmZmZmZl5oQFyPwvUoUGhAZmZmZmY0aEAzMzMzMxloQOxRuB6FJ2hArkfhehQ2aEDsUbgehTdoQK5H4XoUOGhArkfhehQ8aEB7FK5H4SZoQJqZmZmZN2hAZmZmZmZGaEDXo3A9CkloQJqZmZmZPWhAH4XrUbg2aEBmZmZmZkRoQOF6FK5HO2hApHA9CtczaEAzMzMzMzVoQI/C9ShcN2hA16NwPQodaECkcD0K1xVoQNejcD0KD2hAAAAAAAD8Z0DNzMzMzAJoQGZmZmZmDmhAMzMzMzMLaECuR+F6FARoQClcj8L1AGhAUrgehesNaEApXI/C9RJoQOF6FK5H/WdAhetRuB4FaEAfhetRuApoQGZmZmZmDmhAcT0K16MWaEBmZmZmZhpoQHsUrkfhImhAMzMzMzMraEDhehSuRx9oQMP1KFyPLmhAKVyPwvU8aEDhehSuRz1oQI/C9ShcQWhAZmZmZmZcaEDNzMzMzFxoQIXrUbgeQ2hAuB6F61FEaEAK16NwPURoQHsUrkfhRGhAMzMzMzNTaED2KFyPwlVoQK5H4XoUXGhAexSuR+FoaEA9CtejcJVoQM3MzMzMoGhApHA9CteZaEApXI/C9ZZoQAAAAAAAbmhAexSuR+F6aEBI4XoUroFoQJqZmZmZfWhAUrgeheuHaEDXo3A9Cn1oQIXrUbgedWhAMzMzMzNbaEBxPQrXo1poQK5H4XoURGhAmpmZmZlDaEDD9Shcj1JoQOF6FK5HT2hAuB6F61FGaEAzMzMzM0loQBSuR+F6TGhAPQrXo3BLaECF61G4HkdoQNejcD0KMWhApHA9CtcxaECkcD0K1zFoQFK4HoXrJ2hAmpmZmZkvaEDNzMzMzBZoQI/C9Shc72dAmpmZmZnnZ0DNzMzMzPRnQBSuR+F69mdA7FG4HoX3Z0CamZmZmfdnQPYoXI/C72dApHA9CtflZ0AfhetRuOpnQB+F61G44mdAzczMzMzaZ0AK16NwPdZnQD0K16NwyWdA7FG4HoXJZ0CF61G4HsFnQHsUrkfhsmdAzczMzMysZ0AfhetRuL5nQB+F61G4vGdAj8L1KFzRZ0AAAAAAANpnQBSuR+F64mdAcT0K16PWZ0BxPQrXo+ZnQGZmZmZm5mdA7FG4HoXjZ0CkcD0K1+VnQJqZmZmZ42dACtejcD3uZ0DNzMzMzPBnQOxRuB6F9WdArkfhehQIaEAfhetRuPxnQJqZmZmZ92dA9ihcj8LtZ0AfhetRuOxnQB+F61G49mdAZmZmZmbsZ0D2KFyPwvtnQB+F61G48mdAH4XrUbjwZ0DNzMzMzOhnQFyPwvUo7GdA16NwPQrZZ0ApXI/C9eRnQEjhehSu+2dA9ihcj8LxZ0BI4XoUru9nQLgehetR5GdAUrgehevZZ0C4HoXrUcZnQDMzMzMzzWdAcT0K16PmZ0BSuB6F6+VnQOxRuB6F4WdAzczMzMzeZ0Bcj8L1KMxnQB+F61G4tmdAFK5H4XrGZ0C4HoXrUcpnQDMzMzMzzWdApHA9Ctf5Z0CF61G4HulnQDMzMzMz7WdAhetRuB7pZ0AAAAAAAPJnQBSuR+F66mdAexSuR+HiZ0DXo3A9CtFnQOxRuB6FxWdA7FG4HoXRZ0DXo3A9CsFnQI/C9ShcxWdApHA9CtfRZ0DNzMzMzMRnQB+F61G4qmdASOF6FK61Z0BI4XoUrqVnQNejcD0KsWdAFK5H4XqmZ0BSuB6F66FnQNejcD0KnWdAUrgeheuXZ0DhehSuR6NnQClcj8L1lGdAj8L1KFyBZ0DXo3A9CntnQM3MzMzMjGdASOF6FK6NZ0CkcD0K15FnQEjhehSugWdAMzMzMzOLZ0AK16NwPXZnQDMzMzMzd2dAAAAAAACAZ0AAAAAAAIBnQClcj8L1fmdAuB6F61F4Z0C4HoXrUXxnQEjhehSuhWdAPQrXo3CJZ0BSuB6F649nQAAAAAAAoGdAUrgeheufZ0BmZmZmZppnQIXrUbgem2dA7FG4HoWXZ0BmZmZmZppnQJqZmZmZiWdAzczMzMyIZ0AfhetRuHxnQBSuR+F6iGdAKVyPwvWSZ0A9CtejcJNnQAAAAAAAimdAH4XrUbh6Z0AAAAAAAIRnQK5H4XoUhmdAj8L1KFybZ0ApXI/C9ZRnQAAAAAAAkGdAH4XrUbh8Z0AfhetRuH5nQDMzMzMzj2dAMzMzMzOVZ0D2KFyPwpFnQM3MzMzMmmdArkfhehSUZ0CF61G4Ho1nQJqZmZmZiWdAFK5H4XqQZ0AK16NwPZBnQBSuR+F6jmdAexSuR+GQZ0AfhetRuK5nQFyPwvUouGdAMzMzMzOxZ0BxPQrXo6hnQLgehetRpmdAMzMzMzO3Z0DhehSuR7NnQD0K16Nwq2dAUrgeheu1Z0DhehSuR5lnQFK4HoXrd2dAmpmZmZlzZ0CkcD0K10lnQFK4HoXrR2dA16NwPQpDZ0BxPQrXozhnQLgehetRJmdArkfhehQ8Z0AK16NwPVpnQHE9CtejVmdA9ihcj8JVZ0DD9ShcjzxnQHE9CtejMGdAFK5H4XoCZ0CamZmZmQFnQOxRuB6FAWdAKVyPwvUeZ0AzMzMzMyNnQFK4HoXrJWdAexSuR+FSZ0BmZmZmZkhnQDMzMzMzP2dAXI/C9SggZ0DNzMzMzBxnQKRwPQrXKWdAmpmZmZkzZ0AzMzMzM0NnQIXrUbgeS2dAZmZmZmYeZ0AAAAAAACBnQAAAAAAAIGdAH4XrUbgcZ0CamZmZmR1nQK5H4XoUGmdAexSuR+EYZ0CuR+F6FBRnQKRwPQrXE2dACtejcD0GZ0DNzMzMzAxnQAAAAAAABmdAH4XrUbj0ZkCamZmZmQFnQNejcD0K8WZAcT0K16PiZkDsUbgeheFmQLgehetR4mZAXI/C9SjcZkAfhetRuNJmQFyPwvUoxmZACtejcD22ZkBmZmZmZqZmQOF6FK5Ho2ZAUrgeheubZkBcj8L1KHpmQM3MzMzMmGZA9ihcj8KtZkAAAAAAAMBmQKRwPQrXs2ZAmpmZmZm/ZkAAAAAAAL5mQMP1KFyPvGZAhetRuB7FZkAzMzMzM9NmQClcj8L12GZASOF6FK7bZkAAAAAAAOBmQIXrUbgeyWZAhetRuB6/ZkDhehSuR6FmQLgehetRlGZAw/UoXI+gZkDNzMzMzKJmQOxRuB6Fm2ZAAAAAAACgZkAUrkfhepBmQIXrUbgec2ZAzczMzMyGZkDNzMzMzIRmQK5H4XoUnmZAFK5H4XqsZkAzMzMzM8FmQGZmZmZmxmZA9ihcj8K9ZkA9CtejcMVmQEjhehSu0WZACtejcD3KZkBmZmZmZsJmQDMzMzMz12ZAXI/C9SjgZkDhehSuR+tmQLgehetR5mZArkfhehT6ZkBI4XoUrv9mQLgehetR/mZAAAAAAAAAZ0BmZmZmZgBnQNejcD0KBWdAXI/C9SgCZ0BmZmZmZu5mQJqZmZmZ22ZAexSuR+HYZkCkcD0K1+NmQNejcD0K72ZAzczMzMzyZkBmZmZmZvpmQOxRuB6FAWdAcT0K16MAZ0DD9Shcj/RmQLgehetR9mZAMzMzMzP5ZkDsUbgehelmQGZmZmZm4GZAAAAAAADcZkBI4XoUrttmQArXo3A9ymZAuB6F61HIZkBSuB6F69tmQEjhehSu52ZAH4XrUbjyZkCPwvUoXOVmQK5H4XoU5GZAuB6F61EUZ0CF61G4HhFnQDMzMzMz7WZAKVyPwvXmZkA9CtejcN1mQLgehetRymZAuB6F61HAZkDXo3A9Cq9mQM3MzMzMyGZAMzMzMzPfZkC4HoXrUeZmQMP1KFyP6mZA4XoUrkfnZkCF61G4HuNmQFyPwvUo7mZAcT0K16PoZkDhehSuR/FmQK5H4XoU7GZA7FG4HoXZZkAAAAAAAMBmQFyPwvUosmZAMzMzMzPJZkDhehSuR8NmQKRwPQrXxWZAw/UoXI/EZkAK16NwPcpmQB+F61G4zGZAAAAAAADMZkDsUbgehblmQAAAAAAAwGZA7FG4HoXNZkDXo3A9Cr1mQJqZmZmZs2ZAzczMzMymZkAzMzMzM51mQLgehetRomZAUrgeheudZkAUrkfhepxmQFK4HoXrk2ZAZmZmZmaMZkBSuB6F64dmQOF6FK5Hg2ZAZmZmZmaKZkCkcD0K13lmQJqZmZmZb2ZA9ihcj8J3ZkAUrkfheoxmQFyPwvUohGZAZmZmZmaGZkBSuB6F639mQM3MzMzMaGZAMzMzMzN7ZkCPwvUoXHtmQKRwPQrXdWZAFK5H4XpkZkDhehSuR2VmQPYoXI/CcWZAZmZmZmZ2ZkDD9Shcj3RmQJqZmZmZR2ZAAAAAAABIZkAAAAAAADpmQAAAAAAAQGZAKVyPwvVIZkA9CtejcEdmQEjhehSuU2ZAXI/C9ShcZkDNzMzMzF5mQEjhehSuW2ZAH4XrUbhsZkBmZmZmZmpmQAAAAAAAXGZAFK5H4XpOZkBSuB6F609mQGZmZmZmTmZAXI/C9ShUZkCuR+F6FEhmQEjhehSuOWZA7FG4HoUpZkC4HoXrUSZmQLgehetRFGZAKVyPwvUOZkA9CtejcAVmQD0K16NwE2ZArkfhehQiZkBSuB6F6x1mQClcj8L1AGZAhetRuB4JZkBmZmZmZvplQKRwPQrXC2ZApHA9CtcHZkCkcD0K1xdmQClcj8L1FGZAuB6F61EKZkC4HoXrURBmQB+F61G4FGZA7FG4HoUTZkAAAAAAACBmQMP1KFyPGmZAhetRuB4ZZkAzMzMzMylmQGZmZmZmJGZAZmZmZmYmZkAAAAAAACRmQD0K16NwKWZAzczMzMwWZkC4HoXrUQ5mQHsUrkfhCGZAmpmZmZkDZkCF61G4HgtmQAAAAAAAEGZAAAAAAAAQZkAAAAAAABxmQM3MzMzMJGZAcT0K16MqZkApXI/C9R5mQGZmZmZmKmZAw/UoXI8mZkDhehSuR0NmQNejcD0KNWZAj8L1KFw5ZkBxPQrXozhmQAAAAAAAQmZA9ihcj8JBZkAzMzMzMzNmQBSuR+F6MmZAmpmZmZk9ZkCF61G4Hk1mQFK4HoXrP2ZA9ihcj8I3ZkAzMzMzMyNmQPYoXI/CKWZApHA9CtchZkAzMzMzMydmQM3MzMzMMGZAUrgehetVZkD2KFyPwltmQK5H4XoUVmZAUrgeheuVZkDsUbgehZtmQLgehetRpmZACtejcD2uZkDXo3A9CodmQFK4HoXrj2ZAFK5H4XqMZkAfhetRuIBmQPYoXI/CgWZAhetRuB51ZkCF61G4HoNmQOxRuB6FkWZA16NwPQqPZkBcj8L1KIJmQLgehetRhGZAH4XrUbh6ZkDD9Shcj2pmQJqZmZmZW2ZAAAAAAACgZkAfhetRuNZmQGZmZmZmzmZAH4XrUbjOZkBSuB6F68dmQDMzMzMz42ZAzczMzMzsZkAzMzMzM/NmQMP1KFyP6GZA9ihcj8LTZkDsUbgehctmQB+F61G4yGZAexSuR+G+ZkBcj8L1KNBmQHE9CtejzmZArkfhehS2ZkBI4XoUrlNmQFK4HoXrHWZAmpmZmZkVZkCF61G4Hj1mQFK4HoXrOWZAH4XrUbguZkDXo3A9CiVmQDMzMzMzM2ZAexSuR+EuZkCkcD0K1xFmQIXrUbgeF2ZAUrgehesLZkDNzMzMzN5lQIXrUbge12VAFK5H4Xq2ZUD2KFyPwpVlQEjhehSuiWVA7FG4HoV3ZUCuR+F6FGxlQOF6FK5HYWVAZmZmZmaGZUAAAAAAAJBlQPYoXI/CgWVAMzMzMzObZUCuR+F6FJZlQLgehetRhmVASOF6FK5/ZUDD9Shcj4JlQHsUrkfhhmVAPQrXo3CPZUCF61G4HoVlQD0K16NwhWVAZmZmZmZoZUCamZmZmVllQOxRuB6FVWVA16NwPQpdZUA9CtejcGtlQD0K16Nwf2VACtejcD2aZUCuR+F6FKhlQOF6FK5HzWVA16NwPQrfZUBcj8L1KLxlQAAAAAAAvmVAj8L1KFy1ZUD2KFyPwqllQJqZmZmZt2VAj8L1KFyjZUCPwvUoXJ1lQI/C9ShcgWVAzczMzMx8ZUAUrkfhenRlQOxRuB6Fg2VAAAAAAACQZUBI4XoUrqVlQClcj8L1qGVAexSuR+GyZUDsUbgehb1lQD0K16NwvWVAPQrXo3C7ZUCamZmZmcFlQLgehetRxGVAw/UoXI/OZUBSuB6F689lQClcj8L12GVA16NwPQrfZUAAAAAAAOBlQK5H4XoU3mVAcT0K16PeZUBxPQrXo9ZlQB+F61G4xGVA7FG4HoXJZUDXo3A9Cu9lQFyPwvUo9GVAhetRuB7tZUB7FK5H4eZlQOF6FK5H6WVAKVyPwvXkZUC4HoXrUeZlQNejcD0K12VAmpmZmZnnZUDD9Shcj+ZlQFyPwvUo2GVA16NwPQrTZUDXo3A9Cs9lQEjhehSu22VAAAAAAAC6ZUAAAAAAAKZlQAAAAAAApmVAFK5H4Xq0ZUDD9Shcj6RlQLgehetRnmVAZmZmZmaKZUA9CtejcH1lQNejcD0Kj2VAAAAAAACQZUBxPQrXo4ZlQKRwPQrXe2VA4XoUrkd5ZUCamZmZmX9lQAAAAAAAiGVAhetRuB6RZUDsUbgehZ1lQMP1KFyPoGVAuB6F61GOZUAfhetRuHZlQJqZmZmZaWVAmpmZmZllZUA9CtejcFtlQArXo3A9KmVAw/UoXI8EZUDXo3A9CutkQAAAAAAAsGRAhetRuB5vZECuR+F6FJ5kQEjhehSuCWVA16NwPQoHZUCuR+F6FDRlQGZmZmZmHmVAPQrXo3AHZUAAAAAAAOJkQFyPwvUovmRAw/UoXI/UZEBmZmZmZupkQLgehetR1GRAUrgehevjZEDD9Shcj+JkQB+F61G45GRAcT0K16P8ZEAzMzMzM2dlQAAAAAAAUGVAAAAAAAAsZUApXI/C9RJlQKRwPQrXK2VApHA9CtcjZUD2KFyPwjFlQOxRuB6FKWVA16NwPQojZUDNzMzMzBZlQDMzMzMzE2VAzczMzMwMZUD2KFyPwv1kQB+F61G4BGVACtejcD0KZUBmZmZmZgZlQJqZmZmZ/WRA7FG4HoUdZUBxPQrXozRlQEjhehSuU2VAzczMzMxeZUCamZmZmWdlQArXo3A9emVA16NwPQphZUAfhetRuGBlQB+F61G4ZmVA7FG4HoVRZUApXI/C9VJlQDMzMzMzVWVAzczMzMxiZUBSuB6F63NlQK5H4XoUTmVA9ihcj8JFZUDNzMzMzDxlQClcj8L1QGVAhetRuB5RZUAK16NwPUZlQMP1KFyPSGVAPQrXo3BTZUCF61G4Hl1lQM3MzMzMZGVAH4XrUbhaZUCuR+F6FFJlQIXrUbgeU2VAPQrXo3BbZUAAAAAAAGBlQFK4HoXrb2VAPQrXo3BxZUApXI/C9WxlQNejcD0KeWVAFK5H4Xp2ZUAAAAAAAEplQAAAAAAASmVACtejcD1oZUBxPQrXo4plQMP1KFyPhmVAMzMzMzNzZUB7FK5H4V5lQClcj8L1UGVA7FG4HoVHZUDD9Shcj1ZlQHsUrkfhRGVACtejcD0qZUBI4XoUriFlQIXrUbgeHWVA7FG4HoUhZUBmZmZmZi5lQMP1KFyPOGVAKVyPwvUmZUC4HoXrUSZlQOxRuB6FG2VAPQrXo3AdZUAfhetRuChlQIXrUbgeMWVA7FG4HoUvZUBmZmZmZjJlQAAAAAAAQGVAcT0K16MkZUDD9ShcjzRlQLgehetRPmVAXI/C9ShWZUBxPQrXo3plQM3MzMzMimVAexSuR+GOZUCF61G4Hn9lQNejcD0KfWVA7FG4HoVpZUBmZmZmZl5lQGZmZmZmaGVA4XoUrkddZUBI4XoUrldlQAAAAAAAaGVAMzMzMzNvZUAzMzMzM29lQArXo3A9emVA16NwPQp9ZUDsUbgehXllQAAAAAAAeGVAmpmZmZlpZUAfhetRuH5lQDMzMzMzf2VAzczMzMyAZUBI4XoUrndlQBSuR+F6mGVAw/UoXI98ZUB7FK5H4XplQB+F61G4emVA4XoUrkd3ZUAAAAAAAHRlQBSuR+F6fGVAKVyPwvWOZUAUrkfheoxlQM3MzMzMiGVAUrgeheuJZUCamZmZmYtlQB+F61G4hGVAMzMzMzN3ZUAAAAAAAFplQClcj8L1VGVA16NwPQpRZUBcj8L1KF5lQFyPwvUoXmVAuB6F61FSZUCF61G4Hk9lQFyPwvUoVGVAj8L1KFxZZUDsUbgehV9lQD0K16NwU2VAw/UoXI9oZUCamZmZmWdlQLgehetRVmVAFK5H4XpeZUAAAAAAAGhlQKRwPQrXW2VAUrgehetXZUAUrkfhelplQFK4HoXrW2VAhetRuB49ZUDsUbgehVNlQI/C9ShcKWVArkfhehQ6ZUAAAAAAADplQArXo3A9MGVAMzMzMzMvZUD2KFyPwillQFK4HoXrF2VAPQrXo3AXZUCamZmZmRllQMP1KFyPGmVAzczMzMwMZUApXI/C9RJlQClcj8L1EmVAmpmZmZkhZUC4HoXrURZlQPYoXI/CI2VAPQrXo3AbZUCamZmZmR9lQB+F61G4LmVAAAAAAAAwZUBcj8L1KC5lQClcj8L1QGVA7FG4HoU3ZUAzMzMzMzVlQFyPwvUoNmVAMzMzMzM5ZUBcj8L1KD5lQD0K16NwTWVAPQrXo3BVZUAfhetRuFJlQIXrUbgeT2VA7FG4HoVXZUApXI/C9WRlQKRwPQrXZWVAUrgehetvZUApXI/C9XZlQM3MzMzMimVAAAAAAACoZUDNzMzMzLhlQOF6FK5HtWVAmpmZmZmxZUApXI/C9bJlQI/C9Shcp2VAMzMzMzOZZUB7FK5H4ZZlQArXo3A9lGVAMzMzMzOFZUDsUbgehYdlQD0K16NwgWVArkfhehSEZUAAAAAAAH5lQI/C9Shcg2VA9ihcj8JxZUAUrkfhemRlQArXo3A9XmVAmpmZmZlJZUC4HoXrUU5lQIXrUbgeU2VAUrgehetXZUAAAAAAAExlQPYoXI/CP2VArkfhehQ8ZUC4HoXrUTplQK5H4XoUPGVAexSuR+E8ZUAzMzMzMzdlQKRwPQrXMWVA4XoUrkcvZUCuR+F6FBhlQHsUrkfhFGVAKVyPwvUQZUAfhetRuAxlQOxRuB6FC2VASOF6FK4XZUAAAAAAABZlQOxRuB6FE2VAUrgehesJZUCuR+F6FA5lQM3MzMzMEGVAH4XrUbgQZUDD9ShcjwhlQOxRuB6FCWVArkfhehQOZUC4HoXrUSJlQClcj8L1JGVAXI/C9SgkZUCF61G4HillQI/C9ShcN2VAFK5H4Xo6ZUCF61G4HjtlQD0K16NwOWVApHA9CtcxZUBxPQrXozhlQJqZmZmZN2VA7FG4HoUdZUDNzMzMzBJlQLgehetRJGVArkfhehQmZUAK16NwPSZlQB+F61G4HGVA9ihcj8IHZUCamZmZmQdlQB+F61G4IGVAj8L1KFwnZUCkcD0K1zFlQOxRuB6FO2VAFK5H4Xo6ZUDNzMzMzDplQAAAAAAAOmVA7FG4HoUzZUBI4XoUritlQBSuR+F6NmVAMzMzMzNJZUAAAAAAAGBlQClcj8L1WGVAXI/C9ShiZUCkcD0K111lQOF6FK5HY2VAAAAAAABwZUAUrkfhenhlQPYoXI/CdWVA4XoUrkd/ZUAUrkfheoJlQMP1KFyPimVAAAAAAACSZUDXo3A9CndlQOF6FK5He2VAexSuR+GCZUDhehSuR4llQPYoXI/CiWVA4XoUrkeLZUBxPQrXo4BlQD0K16Nwk2VAKVyPwvWWZUCkcD0K149lQM3MzMzMdmVA9ihcj8JTZUBSuB6F61llQIXrUbgeVWVAH4XrUbhMZUApXI/C9VxlQArXo3A9XmVAH4XrUbhsZUCF61G4HmVlQArXo3A9aGVAMzMzMzNhZUA9CtejcDtlQClcj8L1OmVApHA9Ctc5ZUA9CtejcDVlQFK4HoXrP2VAZmZmZmY8ZUBSuB6F6zdlQPYoXI/CM2VAZmZmZmYyZUCamZmZmS1lQGZmZmZmLGVApHA9CtcrZUC4HoXrUS5lQB+F61G4MGVAH4XrUbgwZUCkcD0K1zllQIXrUbgeO2VAFK5H4XoyZUB7FK5H4SJlQM3MzMzMImVAUrgehesjZUBmZmZmZiZlQMP1KFyPKmVAcT0K16MwZUApXI/C9ThlQI/C9ShcO2VAMzMzMzNBZUBSuB6F60tlQGZmZmZmRmVAXI/C9ShEZUAzMzMzM0FlQJqZmZmZQ2VAzczMzMwiZUDNzMzMzBplQFyPwvUoImVAw/UoXI8oZUAfhetRuDBlQDMzMzMzNWVArkfhehQwZUAzMzMzMzFlQLgehetRKGVAUrgehesTZUAzMzMzMxdlQM3MzMzMKmVAhetRuB4rZUCuR+F6FChlQMP1KFyPKGVAmpmZmZkvZUCPwvUoXCtlQDMzMzMzL2VAUrgehesfZUC4HoXrUSZlQClcj8L1JGVA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"Low\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"Volume\":{\"__ndarra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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"datetime\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1500]},\"ohlc_low\":{\"__ndarray__\":\"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tributes\":{},\"id\":\"2070\",\"type\":\"Title\"},{\"attributes\":{\"label\":{\"value\":\"FINAL_UPP\\u2026(BASIC_BAN\\u2026,Prev_Close,15)\"},\"renderers\":[{\"id\":\"2147\"}]},\"id\":\"2163\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1905\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1779\",\"type\":\"RedoTool\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1964\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"2046\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1956\"},\"ticker\":null},\"id\":\"1959\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"1751\"},\"glyph\":{\"id\":\"1982\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1983\"},\"view\":{\"id\":\"1985\"}},\"id\":\"1984\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1751\"}},\"id\":\"2089\",\"type\":\"CDSView\"},{\"attributes\":{\"border_line_color\":\"#333333\",\"click_policy\":\"hide\",\"items\":[{\"id\":\"2032\"},{\"id\":\"2104\"},{\"id\":\"2143\"},{\"id\":\"2163\"},{\"id\":\"2183\"},{\"id\":\"2203\"}],\"label_text_font_size\":\"8pt\",\"location\":\"top_left\",\"margin\":0,\"padding\":5,\"spacing\":0},\"id\":\"2031\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"1903\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"1782\"}},\"id\":\"1777\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"2020\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"2074\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1921\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2021\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"Profit / Loss\",\"formatter\":{\"id\":\"1946\"},\"major_label_policy\":{\"id\":\"2242\"},\"minor_tick_line_color\":null,\"ticker\":{\"id\":\"1912\"}},\"id\":\"1911\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"Volume\",\"formatter\":{\"id\":\"1988\"},\"major_label_policy\":{\"id\":\"2270\"},\"minor_tick_line_color\":null,\"ticker\":{\"id\":\"1961\"}},\"id\":\"1960\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2023\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"2073\",\"type\":\"AllLabels\"},{\"attributes\":{\"data_source\":{\"id\":\"1751\"},\"glyph\":{\"id\":\"2106\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2107\"},\"view\":{\"id\":\"2109\"}},\"id\":\"2108\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1780\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1920\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"red\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"value\":1.052557298875}},\"id\":\"1875\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"2024\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"2025\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"label\":{\"value\":\"Max Dd Dur. (3 days 19:00:00)\"},\"renderers\":[{\"id\":\"1876\"}]},\"id\":\"1898\",\"type\":\"LegendItem\"},{\"attributes\":{\"fill_color\":\"#ffffea\",\"line_color\":\"#ffcb66\",\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"equity_dd\"}},\"id\":\"1793\",\"type\":\"Patch\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":1.3,\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"BASIC_BAN\\u2026(HL,ATR(TR,15),3)_1_2\"}},\"id\":\"2107\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1751\"}},\"id\":\"1985\",\"type\":\"CDSView\"},{\"attributes\":{\"below\":[{\"id\":\"1907\"}],\"center\":[{\"id\":\"1910\"},{\"id\":\"1914\"},{\"id\":\"1931\"}],\"height\":90,\"left\":[{\"id\":\"1911\"}],\"min_border_bottom\":6,\"min_border_left\":0,\"min_border_right\":10,\"min_border_top\":3,\"outline_line_color\":\"#666666\",\"renderers\":[{\"id\":\"1935\"},{\"id\":\"1940\"}],\"sizing_mode\":\"stretch_width\",\"title\":{\"id\":\"2239\"},\"toolbar\":{\"id\":\"1923\"},\"toolbar_location\":null,\"width\":null,\"x_range\":{\"id\":\"1718\"},\"x_scale\":{\"id\":\"1903\"},\"y_range\":{\"id\":\"1901\"},\"y_scale\":{\"id\":\"1905\"}},\"id\":\"1899\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"border_line_color\":\"#333333\",\"click_policy\":\"hide\",\"items\":[{\"id\":\"1826\"},{\"id\":\"1848\"},{\"id\":\"1872\"},{\"id\":\"1898\"}],\"label_text_font_size\":\"8pt\",\"location\":\"top_left\",\"margin\":0,\"padding\":5,\"spacing\":0},\"id\":\"1825\",\"type\":\"Legend\"},{\"attributes\":{\"axis\":{\"id\":\"2041\"},\"ticker\":null},\"id\":\"2044\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":\"#ff7f0e\",\"line_width\":1.3,\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"EMA(C,200)_2_1\"}},\"id\":\"2125\",\"type\":\"Line\"},{\"attributes\":{\"fill_color\":{\"field\":\"inc\",\"transform\":{\"id\":\"1753\"}},\"line_color\":{\"field\":\"inc\",\"transform\":{\"id\":\"1753\"}},\"top\":{\"field\":\"Volume\"},\"width\":{\"value\":0.8},\"x\":{\"field\":\"index\"}},\"id\":\"1982\",\"type\":\"VBar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1742\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data_source\":{\"id\":\"1752\"},\"glyph\":{\"id\":\"1933\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1934\"},\"view\":{\"id\":\"1936\"}},\"id\":\"1935\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1912\",\"type\":\"BasicTicker\"},{\"attributes\":{\"source\":{\"id\":\"1751\"}},\"id\":\"2109\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1819\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"active_drag\":{\"id\":\"1915\"},\"active_multi\":null,\"active_scroll\":{\"id\":\"1916\"},\"tools\":[{\"id\":\"1915\"},{\"id\":\"1916\"},{\"id\":\"1917\"},{\"id\":\"1918\"},{\"id\":\"1919\"},{\"id\":\"1920\"},{\"id\":\"1921\"},{\"id\":\"1942\"},{\"id\":\"1944\"},{\"id\":\"2207\"}]},\"id\":\"1923\",\"type\":\"Toolbar\"},{\"attributes\":{\"formatter\":{\"id\":\"2245\"},\"major_label_policy\":{\"id\":\"2244\"},\"ticker\":{\"id\":\"1908\"},\"visible\":false},\"id\":\"1907\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1873\"},\"glyph\":{\"id\":\"1874\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1875\"},\"view\":{\"id\":\"1877\"}},\"id\":\"1876\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1919\",\"type\":\"RedoTool\"},{\"attributes\":{\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"High\"},\"y1\":{\"field\":\"Low\"}},\"id\":\"2003\",\"type\":\"Segment\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":1.3,\"x\":{\"field\":\"index\"},\"y\":{\"field\":\"ATR(TR,15)_0_1\"}},\"id\":\"2067\",\"type\":\"Line\"},{\"attributes\":{\"dimensions\":\"width\",\"maintain_focus\":false},\"id\":\"1916\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"source\":{\"id\":\"1806\"}},\"id\":\"1810\",\"type\":\"CDSView\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1915\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1950\",\"type\":\"DataRange1d\"}],\"root_ids\":[\"2294\"]},\"title\":\"Bokeh Application\",\"version\":\"2.3.3\"}};\n",
" var render_items = [{\"docid\":\"937c78e0-0e54-4bb7-a901-eb8a786af460\",\"root_ids\":[\"2294\"],\"roots\":{\"2294\":\"fe52edbc-da23-448e-abdf-cc4a6698a288\"}}];\n",
" root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
"\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (root.Bokeh !== undefined) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else {\n",
" attempts++;\n",
" if (attempts > 100) {\n",
" clearInterval(timer);\n",
" console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
" }\n",
" }\n",
" }, 10, root)\n",
" }\n",
"})(window);"
],
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"Row(id='2294', ...)"
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{
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"source": [
"#### 【ポイント3】想定通り動作したかの確認\n",
"\n",
"- `Backtest`インスタンスには、バックテストの過程で使った値が保管されている。この例では、`bt._results[\"_strategy\"].変数名` でバックテストの実行時に使った値にアクセスできる。この値と、価格データを比較するなどして、適切な処理がされているか確認できる（下記の例のように、pandas.DataFrameのマージなどで比較すると便利）。\n",
"> **注意**： `Backtest` のインスタンスを作るとき、 defalut 設定である `trade_on_close = False` のままにすると、取引時刻がインディケータよりも「一つ後のバーの時刻」になる。この場合は、下記の `merge_results` 関数はそのままでは使えない。`df.shift()` メソッド等で合わせるなど修正が必要。\n",
"- この例では、ポジションを保持した時にフラグが残るように `init`メソッドのなかで`check_box`という変数を仕込ませたのでそれを使って確認できる。このあたりは色々工夫の余地があると思う。"
],
"metadata": {
"id": "okCGLdU6GE0b"
}
},
{
"cell_type": "code",
"source": [
"def merge_results(df, bt):\n",
" _df = df.copy()\n",
"\n",
" _df = _df.merge(\n",
" bt._results[\"_trades\"], right_on=\"EntryTime\", left_index=True, how=\"outer\"\n",
" )\n",
" _df = _df.set_index(\"EntryTime\")\n",
"\n",
" _df[\"BASIC_UPPERBAND\"] = bt._results[\"_strategy\"].basic_ub\n",
" _df[\"BASIC_LOWERBAND\"] = bt._results[\"_strategy\"].basic_lb\n",
" _df[\"FINAL_UPPERBAND\"] = bt._results[\"_strategy\"].final_ub\n",
" _df[\"FINAL_LOWERBAND\"] = bt._results[\"_strategy\"].final_lb\n",
" _df[\"SUPERTREND\"] = bt._results[\"_strategy\"].supertrend\n",
" _df[\"EMA\"] = bt._results[\"_strategy\"].close_ema\n",
" _df[\"CHECKBOX\"] = bt._results[\"_strategy\"].check_box\n",
"\n",
" return _df\n"
],
"metadata": {
"id": "ACmCEYrURLwr"
},
"execution_count": 20,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# マージしたデータを確認\n",
"df_merged = merge_results(df, bt)\n",
"df_merged.info()"
],
"metadata": {
"id": "OIBLeJTiRTkN",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "fb73c5ad-91ba-43d6-a5f0-ace8ed513cb2"
},
"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"DatetimeIndex: 1500 entries, 2021-12-07 00:45:00 to 2021-12-12 05:45:00\n",
"Data columns (total 24 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Open 1500 non-null float64 \n",
" 1 High 1500 non-null float64 \n",
" 2 Low 1500 non-null float64 \n",
" 3 Close 1500 non-null float64 \n",
" 4 Volume 1500 non-null float64 \n",
" 5 Prev_Close 1499 non-null float64 \n",
" 6 HL 1500 non-null float64 \n",
" 7 TR 1500 non-null float64 \n",
" 8 Size 17 non-null float64 \n",
" 9 EntryBar 17 non-null float64 \n",
" 10 ExitBar 17 non-null float64 \n",
" 11 EntryPrice 17 non-null float64 \n",
" 12 ExitPrice 17 non-null float64 \n",
" 13 PnL 17 non-null float64 \n",
" 14 ReturnPct 17 non-null float64 \n",
" 15 ExitTime 17 non-null datetime64[ns] \n",
" 16 Duration 17 non-null timedelta64[ns]\n",
" 17 BASIC_UPPERBAND 1486 non-null float64 \n",
" 18 BASIC_LOWERBAND 1486 non-null float64 \n",
" 19 FINAL_UPPERBAND 1486 non-null float64 \n",
" 20 FINAL_LOWERBAND 1486 non-null float64 \n",
" 21 SUPERTREND 1486 non-null float64 \n",
" 22 EMA 1301 non-null float64 \n",
" 23 CHECKBOX 1301 non-null float64 \n",
"dtypes: datetime64[ns](1), float64(22), timedelta64[ns](1)\n",
"memory usage: 293.0 KB\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# ポジションの確認\n",
"# flag 3 は Supertrend が Close より小さくなるタイミングでロングポジションを持つ時のフラグ\n",
"df_merged[df_merged[\"CHECKBOX\"]==3].index"
],
"metadata": {
"id": "3ymuGKR5Sjgu",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "ba5e7f23-3335-45a1-feee-ddd330e01e03"
},
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"DatetimeIndex(['2021-12-08 18:50:00', '2021-12-08 23:15:00',\n",
" '2021-12-09 03:35:00', '2021-12-09 07:10:00',\n",
" '2021-12-09 08:40:00', '2021-12-10 14:50:00',\n",
" '2021-12-11 17:40:00', '2021-12-12 01:35:00'],\n",
" dtype='datetime64[ns]', name='EntryTime', freq=None)"
]
},
"metadata": {},
"execution_count": 22
}
]
},
{
"cell_type": "code",
"source": [
"# 個別データの確認\n",
"# インディケータを描画してコード通りのタイミングであることを確認\n",
"i = df_merged[df_merged[\"CHECKBOX\"]==3].index[1]\n",
"df_merged.loc[i- pd.DateOffset(minutes=10) : i + pd.DateOffset(minutes=10)][[\"SUPERTREND\",\"EMA\", \"CHECKBOX\"]].plot(secondary_y=\"CHECKBOX\")"
],
"metadata": {
"id": "BINS9n-4U5Uh",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 298
},
"outputId": "08609858-42e7-453f-fe4a-306457797441"
},
"execution_count": 23,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f24bb8b9890>"
]
},
"metadata": {},
"execution_count": 23
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"# 同タイミングのストラテジーデータを確認。\n",
"df_merged.loc[i]"
],
"metadata": {
"id": "-J8jl4bqWwKw",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "a7f24ab5-47d9-41ae-a65a-2e9951f5d4f6"
},
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Open 193.745\n",
"High 194.887\n",
"Low 193.745\n",
"Close 194.685\n",
"Volume 3.2482e+06\n",
"Prev_Close 193.745\n",
"HL 194.316\n",
"TR 1.1425\n",
"Size 496\n",
"EntryBar 558\n",
"ExitBar 566\n",
"EntryPrice 194.88\n",
"ExitPrice 194.83\n",
"PnL -24.6438\n",
"ReturnPct -0.000254952\n",
"ExitTime 2021-12-08 23:55:00\n",
"Duration 0 days 00:40:00\n",
"BASIC_UPPERBAND 196.799\n",
"BASIC_LOWERBAND 191.833\n",
"FINAL_UPPERBAND 193.935\n",
"FINAL_LOWERBAND 191.833\n",
"SUPERTREND 191.833\n",
"EMA 192.107\n",
"CHECKBOX 3\n",
"Name: 2021-12-08 23:15:00, dtype: object"
]
},
"metadata": {},
"execution_count": 24
}
]
},
{
"cell_type": "markdown",
"source": [
"## 最適化\n",
"\n",
"- Backtesting.py では、パラメータの値に選択肢として渡された値を総当りで試し、最もよい組み合わせを探してくれます。\n",
"- [Backtest.optimize](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.optimize)\n",
"- 制約条件なども追加できます。詳しくはこちら：[Backtest.optimize](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.optimize)\n"
],
"metadata": {
"id": "Sh5YVkb8dxFa"
}
},
{
"cell_type": "markdown",
"source": [
"### パラメータ\n",
"\n",
"- Supertrend の例では、その定義で以下の3つのパラメータを使用しています。\n",
" ```python\n",
" class SuperTrend(Strategy):\n",
" period = 15\n",
" ema_period = 200\n",
" multiplier = 3\n",
" :\n",
" :\n",
"\n",
" ``` \n",
"- 最適化の機能では、これらのパラメータに様々な値を渡して、全ての組み合わせを横断的に実行し、最も成績のよいパラメータの組み合わせを得ることができます。\n"
],
"metadata": {
"id": "VoNhU4W1d2tf"
}
},
{
"cell_type": "markdown",
"source": [
"### 最適化の実行\n",
"\n",
"- `Backtest` インスタンスを作成し、`optimize` メソッドを呼び出す\n",
"- その際、`Strategy`クラスで使ったパラメータと同じ名前の変数に、最適化の候補として試したい値をリストで渡す\n",
"- `maximize=` オプションで、最大の値にしたい評価指標の名前を渡す\n",
"- `return_heatmap=True,` とすると、全ての組み合わせによる評価結果を返す\n"
],
"metadata": {
"id": "MXegRld5ml6J"
}
},
{
"cell_type": "code",
"source": [
"periods = [5,15,20]\n",
"multipliers = [3,5,7]\n",
"ema_periods = [100,200,300]\n",
"\n",
"df = get_data(\"ETH-PERP\")\n",
"df = add_features(df)\n",
"\n",
"# インスタンス作成\n",
"bt = Backtest(\n",
" df,\n",
" SuperTrend,\n",
" cash=10000,\n",
" commission=0.001,\n",
" trade_on_close=True,\n",
" )\n",
"\n",
"# optimize メソッド呼び出し\n",
"stats, heatmap = bt.optimize(\n",
" period=periods,\n",
" multiplier=multipliers,\n",
" ema_period=ema_periods,\n",
" maximize=\"SQN\",\n",
" return_heatmap=True, # False にした場合は返り値は stats のみ\n",
" )"
],
"metadata": {
"id": "m0-E0wJ2nD-s",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17,
"referenced_widgets": [
"d6d5c9fb4c4a46fabade393cf581f35a",
"86f48a263a3440abbad4c68b7abd344b",
"6ca306654b5f43e7b8d11c9d2a0bfba7",
"e2c5d3ac1a7c45ad90237981ea776fc6",
"770aed7e21374d3090080072e386b218",
"3f1dbe1eeb294e60b3eb1eb37ce81411",
"c719a16244f746cc997d4d5a69c77a13",
"f4f6107ca9ec4244ace33eed05fcfcb2",
"3ceafbe790634ef482cc97afd7985786",
"5d5c4de9ede945c59dd63b79f592fc93",
"0691f7fcc7554b6ca7add9ba33b695a6"
]
},
"outputId": "c7ee686b-8a69-4711-c734-4865f31c4b92"
},
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d6d5c9fb4c4a46fabade393cf581f35a",
"version_minor": 0,
"version_major": 2
},
"text/plain": [
"Backtest.optimize: 0%| | 0/3 [00:00<?, ?it/s]"
]
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"### 結果を確認\n",
"\n",
"- `stats` は、`maximize=` オプションで指定した評価指標が最大になった時のパラメータの組み合わせで得られた結果\n",
"- `heatmap` は、全ての組み合わせで得られた結果\n"
],
"metadata": {
"id": "UM6z_zOGIBZO"
}
},
{
"cell_type": "code",
"source": [
"stats"
],
"metadata": {
"id": "EyWvkroEvJ_c",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "f14488e8-385b-4eda-9f00-f622b4b5fc0d"
},
"execution_count": 26,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Start 2021-12-07 00:45:00\n",
"End 2021-12-12 05:45:00\n",
"Duration 5 days 05:00:00\n",
"Exposure Time [%] 93.2667\n",
"Equity Final [$] 10963.3\n",
"Equity Peak [$] 11042.4\n",
"Return [%] 9.63297\n",
"Buy & Hold Return [%] -7.34812\n",
"Return (Ann.) [%] 36779.3\n",
"Volatility (Ann.) [%] 42995.3\n",
"Sharpe Ratio 0.855426\n",
"Sortino Ratio 964.971\n",
"Calmar Ratio 4722.83\n",
"Max. Drawdown [%] -7.78755\n",
"Avg. Drawdown [%] -0.868639\n",
"Max. Drawdown Duration 2 days 01:00:00\n",
"Avg. Drawdown Duration 0 days 04:25:00\n",
"# Trades 24\n",
"Win Rate [%] 58.3333\n",
"Best Trade [%] 3.8786\n",
"Worst Trade [%] -2.87957\n",
"Avg. Trade [%] 0.48325\n",
"Max. Trade Duration 1 days 05:00:00\n",
"Avg. Trade Duration 0 days 04:52:00\n",
"Profit Factor 2.28931\n",
"Expectancy [%] 0.494942\n",
"SQN 1.49054\n",
"_strategy SuperTrend(perio...\n",
"_equity_curve ...\n",
"_trades Size EntryB...\n",
"dtype: object"
]
},
"metadata": {},
"execution_count": 26
}
]
},
{
"cell_type": "code",
"source": [
"# この結果を得た時のパラメータの組み合わせ\n",
"stats[\"_strategy\"]"
],
"metadata": {
"id": "RKTHrrA0v2Ey",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "47159286-2512-46d7-c1e0-da1ce58f77d9"
},
"execution_count": 27,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<Strategy SuperTrend(period=20,multiplier=3,ema_period=100)>"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "code",
"source": [
"# 全組み合わせの結果を確認\n",
"heatmap.sort_values(ascending=False)"
],
"metadata": {
"id": "o4ruxNjLvoNI",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "aa4b016c-7b1d-47b7-e6a4-9011a2b3f5ef"
},
"execution_count": 28,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"period multiplier ema_period\n",
"20 3 100 1.490539\n",
"15 3 100 1.439943\n",
"20 7 100 0.942516\n",
" 200 0.865489\n",
"5 3 100 0.836626\n",
"15 7 300 0.725751\n",
"20 5 300 0.478590\n",
" 7 300 0.412610\n",
"5 3 200 0.348824\n",
"20 5 200 0.330198\n",
"5 3 300 0.281553\n",
"20 3 200 0.152286\n",
"15 3 200 0.069169\n",
" 5 300 -0.036690\n",
" 7 200 -0.138844\n",
"20 5 100 -0.228266\n",
"5 7 300 -0.260988\n",
"15 5 100 -0.286525\n",
" 3 300 -0.392973\n",
" 5 200 -0.434455\n",
"20 3 300 -0.528871\n",
"5 7 100 -0.552672\n",
"15 7 100 -0.703433\n",
"5 7 200 -0.953487\n",
" 5 300 -1.040886\n",
" 200 -1.364656\n",
" 100 -1.525202\n",
"Name: SQN, dtype: float64"
]
},
"metadata": {},
"execution_count": 28
}
]
},
{
"cell_type": "code",
"source": [
"# bt は最も良かったパラメータのストラテジーを保持しているので\n",
"# plot すると、その結果を描画する\n",
"print(bt._results[\"_strategy\"])\n",
"bt.plot()"
],
"metadata": {
"id": "dBkhJlxbGncm",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 832
},
"outputId": "128a8559-d196-40ef-80e6-695b5676a94f"
},
"execution_count": 29,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"SuperTrend(period=20,multiplier=3,ema_period=100)\n"
]
},
{
"output_type": "display_data",
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" var JS_MIME_TYPE = 'application/javascript';\n",
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" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
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" toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
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" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
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" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
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"\n",
" /* Handle when an output is cleared or removed */\n",
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" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
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"\n",
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" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
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" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
"\n",
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" }\n",
"\n",
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" }\n",
"\n",
" \n",
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"\n",
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" },\n",
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