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タートルズ・ブレイクアウト・システム(『タートルズの秘密』)
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TURTLE SECRETS (index)\n",
"\n",
"> 単純なタートルズ・ブレイクアウト・システム\n",
">\n",
"> 1. マーケットが過去20日間(チャート上の20本の足)の最高値(最安値)を取ったら、新規に買う(新規に売る)。\n",
"> 1. マーケットが自分の建玉に逆行して過去10日間(10本の足)の最安値(最高値)を取ったら、その玉を仕切る。\n",
"> 1. 新規に建玉した後、もしマーケットが逆行して引かされたなら、資金の2%を厳格な仕切りポイントとして用いて損切りしなさい。\n",
"> 1. 利益目標を置いてはいけない。利が乗った建玉を手仕舞う唯一の方法は、マーケットが逆行したときだけである。\n",
">\n",
"> <cite>タートルズの秘密 Part 1 基本 The Basics P.56</cite>\n",
"\n",
"> Nとは何か?そしてそれの使い方\n",
">\n",
"> Nはマーケット・ボラティリティの単位である。\n",
"> それは過去15日間の1日の値動きの平均である。\n",
">\n",
"> この数値を得るためには、まず、高値、安値に窓空け分を加えて、1日の真の値幅を算出する。\n",
"> そして過去15日の真の値幅を合計して、それを15で割るのである。\n",
">\n",
"> …略…\n",
">\n",
"> Nを使ってすべてのトレードにおける厳格な損切りポイントを決めるためには、次のことを心に留めておいて欲しい。\n",
"> 私たちはどのトレードにおいても、資金の2%以上の損失(もちろん1ユニット当たり)を被ることを望むことは決してない。\n",
"> したがって、私たちはすべてのトレードにおいて、建玉したときの価格から2Nを差し引く。\n",
"> あるいは売り玉の場合には2Nだけ上である。\n",
"> 覚えておいて欲しい。\n",
"> これらのポイントでは常にマルにするだけである。\n",
"> 決してドテンしたりしないのだ。\n",
"> この計算をするときは、単にNを15日間の値動きであると考えなさい。\n",
">\n",
"> <cite>タートルズの秘密 Part 1 基本 The Basics P.61</cite>\n",
"\n",
"> P/Lフィルター\n",
">\n",
"> タートルズが使っているトレード手法で最も重要な原則の1つは、P/Lフィルターとしても知られている「理論上の前回のトレード」を利用するやり方である。\n",
"> この強力な概念によって、あまり期待値が高くないトレードを避けることができる。\n",
">\n",
"> …略…\n",
">\n",
"> P/Lフィルターのルールは簡単である。\n",
"> それは利益の上がったトレードの次のトレードは利益になりにくいということである。\n",
"> なぜなら、マーケットでは、急上昇と暴落が続けて同時に起こることはまれだからである。\n",
">\n",
"> <cite>タートルズの秘密 Part 1 基本 The Basics P.65</cite>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import math\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The history saving thread hit an unexpected error (OperationalError('disk I/O error',)).History will not be written to the database.\n"
]
},
{
"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",
" </tr>\n",
" <tr>\n",
" <th>time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2018-09-18</th>\n",
" <td>2890.739990</td>\n",
" <td>2911.169922</td>\n",
" <td>2890.429932</td>\n",
" <td>2904.310059</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-09-19</th>\n",
" <td>2906.600098</td>\n",
" <td>2912.360107</td>\n",
" <td>2903.820068</td>\n",
" <td>2907.949951</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-09-20</th>\n",
" <td>2919.729980</td>\n",
" <td>2934.800049</td>\n",
" <td>2919.729980</td>\n",
" <td>2930.750000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-09-21</th>\n",
" <td>2936.760010</td>\n",
" <td>2940.909912</td>\n",
" <td>2927.110107</td>\n",
" <td>2929.669922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-09-24</th>\n",
" <td>2921.830078</td>\n",
" <td>2923.790039</td>\n",
" <td>2912.629883</td>\n",
" <td>2919.370117</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" open high low close\n",
"time \n",
"2018-09-18 2890.739990 2911.169922 2890.429932 2904.310059\n",
"2018-09-19 2906.600098 2912.360107 2903.820068 2907.949951\n",
"2018-09-20 2919.729980 2934.800049 2919.729980 2930.750000\n",
"2018-09-21 2936.760010 2940.909912 2927.110107 2929.669922\n",
"2018-09-24 2921.830078 2923.790039 2912.629883 2919.370117"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def read(filepath):\n",
" names = ['time', 'open', 'high', 'low', 'close']\n",
" dtype = { 'time': str, 'open': float, 'high': float, 'low': float, 'close': float }\n",
" df = pd.read_csv(filepath, header=0, names=names, index_col='time', usecols=names, dtype=dtype, parse_dates=['time'])\n",
" return df\n",
"\n",
"df = read('~/Documents/1/historical-prices/^GSPC.csv')\n",
"df.head()\n",
"df.tail()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"time\n",
"2018-09-18 18.640106\n",
"2018-09-19 17.293431\n",
"2018-09-20 18.567653\n",
"2018-09-21 17.931940\n",
"2018-09-24 17.813020\n",
"Name: atr, dtype: float64"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def atr(df, periods=14):\n",
" close = df['close'].shift(1)\n",
" high = df['high']\n",
" low = df['low']\n",
" s1 = high - low\n",
" s2 = high - close\n",
" s3 = close - low\n",
" tr = pd.concat([s1, s2, s3], axis=1).max(axis=1)\n",
" atr_ = tr.ewm(span=periods).mean()\n",
" return atr_.rename('atr')\n",
"\n",
"atr(df).head()\n",
"atr(df).tail()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"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",
" </tr>\n",
" <tr>\n",
" <th>time</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-12-22</th>\n",
" <td>2684.219971</td>\n",
" <td>2685.350098</td>\n",
" <td>2678.129883</td>\n",
" <td>2683.340088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-12-26</th>\n",
" <td>2679.090088</td>\n",
" <td>2682.739990</td>\n",
" <td>2677.959961</td>\n",
" <td>2680.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-12-27</th>\n",
" <td>2682.100098</td>\n",
" <td>2685.639893</td>\n",
" <td>2678.909912</td>\n",
" <td>2682.620117</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-12-28</th>\n",
" <td>2686.100098</td>\n",
" <td>2687.659912</td>\n",
" <td>2682.689941</td>\n",
" <td>2687.540039</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-12-29</th>\n",
" <td>2689.149902</td>\n",
" <td>2692.120117</td>\n",
" <td>2673.610107</td>\n",
" <td>2673.610107</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" open high low close\n",
"time \n",
"2017-12-22 2684.219971 2685.350098 2678.129883 2683.340088\n",
"2017-12-26 2679.090088 2682.739990 2677.959961 2680.500000\n",
"2017-12-27 2682.100098 2685.639893 2678.909912 2682.620117\n",
"2017-12-28 2686.100098 2687.659912 2682.689941 2687.540039\n",
"2017-12-29 2689.149902 2692.120117 2673.610107 2673.610107"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def drop(df):\n",
" df2 = df.dropna()\n",
" df3 = df2[(2000 <= df2.index.year) & (df2.index.year <= 2017)]\n",
" s1 = df3['open'] == df3['high']\n",
" s2 = df3['open'] == df3['low']\n",
" s3 = df3['open'] == df3['close']\n",
" df4 = df3[~(s1 & s2 & s3)]\n",
" return df4\n",
"\n",
"df2 = drop(df)\n",
"df2.head()\n",
"df2.tail()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 328 ms, sys: 31.2 ms, total: 359 ms\n",
"Wall time: 369 ms\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f226219c630>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def test(df, periods1=20, periods2=10, periods3=15, unit=1.0, spread=0.3):\n",
" sp = unit * spread\n",
"# last = lambda x: pd.concat([pd.Series([0.0]), x]).dropna().tail(1).item()\n",
"# last = lambda x: np.concatenate([np.zeros(1), x.dropna().values])[-1]\n",
" last = lambda x: ([0.0] + x.dropna().values.tolist())[-1]\n",
" l = [\n",
" df,\n",
" df['close'].shift(1),\n",
" df['high'].rolling(periods1).max().shift(2),\n",
" df['high'].rolling(periods2).max().shift(2),\n",
" df['low'].rolling(periods1).min().shift(2),\n",
" df['low'].rolling(periods2).min().shift(2),\n",
" atr(df, periods=periods3).shift(2),\n",
" ]\n",
" df2 = pd.concat(l, axis=1)\n",
" pl1 = pd.Series(np.full(df2.index.size, np.nan), index=df2.index, name='pl1')\n",
" pl2 = pd.Series(np.full(df2.index.size, np.nan), index=df2.index, name='pl2')\n",
" ls = entry = stop = np.nan\n",
" for row in df2.itertuples():\n",
" time, open_, high, low, close, close2, high2, high3, low2, low3, atr_ = row\n",
" if np.isnan([close2, high2, high3, low2, low3, atr_]).any():\n",
" continue\n",
" if (0 < ls and close2 < low3) or (ls < 0 and high3 < close2):\n",
" # exit\n",
" p = (open_ - entry) * unit * ls - sp\n",
" if last(pl2) <= 0.0:\n",
" pl1[time] = p\n",
" pl2[time] = p\n",
" ls = entry = stop = np.nan\n",
" if np.isnan(ls) and (high2 < close2 or close2 < low2):\n",
" # entry\n",
" ls = 1 if high2 < close2 else -1\n",
" entry = open_\n",
" stop = open_ - (atr_ * 2.0 * ls)\n",
" if (0 < ls and low <= stop) or (ls < 0 and stop <= high):\n",
" # stop\n",
" p = (stop - entry) * unit * ls - sp\n",
" if last(pl2) <= 0.0:\n",
" pl1[time] = p\n",
" pl2[time] = p\n",
" ls = entry = stop = np.nan\n",
" if not np.isnan(ls):\n",
" p = (close - entry) * unit * ls - sp\n",
" if last(pl2) <= 0.0:\n",
" pl1[time] = p\n",
" pl2[time] = p\n",
" ls = entry = stop = np.nan\n",
" return pd.concat([pl1, pl2], axis=1)\n",
"\n",
"%time result = test(df2)\n",
"result.dropna(how='all').cumsum().fillna(method='ffill').plot()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'トレード数': 114,\n",
" '勝率(%)': 35.09,\n",
" '平均利益': 43.28,\n",
" '平均損失': 26.8,\n",
" '平均利益÷平均損失': 1.61,\n",
" '1トレード当たりの平均損益': -2.21,\n",
" '最大損失額': -432.31,\n",
" '総損益': -252.04,\n",
" '期待値': -0.08}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def mdd(s):\n",
" s2 = s.dropna()\n",
" s3 = s2.cumsum()\n",
" s4 = s3.cummax()\n",
" s5 = s4 - s3\n",
" r = s5.max()\n",
" return r\n",
"\n",
"def stat(s):\n",
" r = lambda x: round(x, 2)\n",
" p = lambda x: r(x * 100)\n",
" s2 = s.dropna()\n",
" s3 = s2[0 < s2]\n",
" s4 = s2[s2 < 0]\n",
" profit_probability = s3.count() / s2.count()\n",
" risk_reward_ratio = abs(s3.mean() / s4.mean())\n",
" expected_value = (profit_probability * risk_reward_ratio) - (1 - profit_probability)\n",
" d = {\n",
" 'トレード数': s2.count(),\n",
" '勝率(%)': p(profit_probability),\n",
" '平均利益': r(s3.mean()),\n",
" '平均損失': r(abs(s4.mean())),\n",
" '平均利益÷平均損失': r(risk_reward_ratio),\n",
" '1トレード当たりの平均損益': r(s2.mean()),\n",
" '最大損失額': r(-mdd(s2)),\n",
" '総損益': r(s2.sum()),\n",
" '期待値': r(expected_value),\n",
" }\n",
" return d\n",
"\n",
"stat(result['pl1'])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'トレード数': 164,\n",
" '勝率(%)': 31.1,\n",
" '平均利益': 50.4,\n",
" '平均損失': 27.98,\n",
" '平均利益÷平均損失': 1.8,\n",
" '1トレード当たりの平均損益': -3.6,\n",
" '最大損失額': -782.51,\n",
" '総損益': -591.1,\n",
" '期待値': -0.13}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stat(result['pl2'])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# 0: symbol\n",
"# 1: quotation\n",
"# 2: unit\n",
"# 3: spread\n",
"data = [\n",
" ('^DJI', 1.0, 0.1, 2.0),\n",
" ('^GSPC', 0.1, 1.0, 0.3),\n",
" ('^IXIC', 0.1, 1.0, 0.6),\n",
" ('^N225', 1.0, 10.0, 4.0),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"d = { x[0]: read(f'~/Documents/1/historical-prices/{x[0]}.csv') for x in data }\n",
"d2 = { x[0]: drop(d[x[0]]) for x in data }\n",
"d3 = { x[0]: test(d2[x[0]], unit=x[2], spread=x[3]) for x in data }\n",
"d4 = { x[0]: [stat(d3[x[0]]['pl1']), stat(d3[x[0]]['pl2'])] for x in data }"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def plot(s):\n",
" df = d3[s]\n",
" l = [\n",
" df['pl1'].rename('pl1 (P/L Filter)'),\n",
" df['pl2']\n",
" ]\n",
" df2 = pd.concat(l, axis=1)\n",
" df2.dropna(how='all').cumsum().fillna(method='ffill').plot(title=s)\n",
" return None\n",
"\n",
"plot('^DJI')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot('^GSPC')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot('^IXIC')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot('^N225')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"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>トレード数</th>\n",
" <th>勝率(%)</th>\n",
" <th>平均利益</th>\n",
" <th>平均損失</th>\n",
" <th>平均利益÷平均損失</th>\n",
" <th>1トレード当たりの平均損益</th>\n",
" <th>最大損失額</th>\n",
" <th>総損益</th>\n",
" <th>期待値</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>^DJI pl1 (P/L Filter)</th>\n",
" <td>103</td>\n",
" <td>38.83</td>\n",
" <td>43.27</td>\n",
" <td>23.68</td>\n",
" <td>1.83</td>\n",
" <td>2.32</td>\n",
" <td>-462.46</td>\n",
" <td>238.72</td>\n",
" <td>0.10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^DJI pl2</th>\n",
" <td>157</td>\n",
" <td>35.03</td>\n",
" <td>46.81</td>\n",
" <td>25.24</td>\n",
" <td>1.85</td>\n",
" <td>0.00</td>\n",
" <td>-498.86</td>\n",
" <td>0.07</td>\n",
" <td>0.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^GSPC pl1 (P/L Filter)</th>\n",
" <td>114</td>\n",
" <td>35.09</td>\n",
" <td>43.28</td>\n",
" <td>26.80</td>\n",
" <td>1.61</td>\n",
" <td>-2.21</td>\n",
" <td>-432.31</td>\n",
" <td>-252.04</td>\n",
" <td>-0.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^GSPC pl2</th>\n",
" <td>164</td>\n",
" <td>31.10</td>\n",
" <td>50.40</td>\n",
" <td>27.98</td>\n",
" <td>1.80</td>\n",
" <td>-3.60</td>\n",
" <td>-782.51</td>\n",
" <td>-591.10</td>\n",
" <td>-0.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^IXIC pl1 (P/L Filter)</th>\n",
" <td>105</td>\n",
" <td>40.00</td>\n",
" <td>159.59</td>\n",
" <td>69.52</td>\n",
" <td>2.30</td>\n",
" <td>22.12</td>\n",
" <td>-1014.90</td>\n",
" <td>2322.87</td>\n",
" <td>0.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^IXIC pl2</th>\n",
" <td>162</td>\n",
" <td>35.80</td>\n",
" <td>146.43</td>\n",
" <td>73.95</td>\n",
" <td>1.98</td>\n",
" <td>4.95</td>\n",
" <td>-1746.38</td>\n",
" <td>802.48</td>\n",
" <td>0.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^N225 pl1 (P/L Filter)</th>\n",
" <td>100</td>\n",
" <td>32.00</td>\n",
" <td>7138.61</td>\n",
" <td>3019.04</td>\n",
" <td>2.36</td>\n",
" <td>231.41</td>\n",
" <td>-38850.55</td>\n",
" <td>23140.96</td>\n",
" <td>0.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>^N225 pl2</th>\n",
" <td>158</td>\n",
" <td>37.34</td>\n",
" <td>7097.03</td>\n",
" <td>3344.11</td>\n",
" <td>2.12</td>\n",
" <td>554.80</td>\n",
" <td>-51447.14</td>\n",
" <td>87658.12</td>\n",
" <td>0.17</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" トレード数 勝率(%) 平均利益 平均損失 平均利益÷平均損失 \\\n",
"^DJI pl1 (P/L Filter) 103 38.83 43.27 23.68 1.83 \n",
"^DJI pl2 157 35.03 46.81 25.24 1.85 \n",
"^GSPC pl1 (P/L Filter) 114 35.09 43.28 26.80 1.61 \n",
"^GSPC pl2 164 31.10 50.40 27.98 1.80 \n",
"^IXIC pl1 (P/L Filter) 105 40.00 159.59 69.52 2.30 \n",
"^IXIC pl2 162 35.80 146.43 73.95 1.98 \n",
"^N225 pl1 (P/L Filter) 100 32.00 7138.61 3019.04 2.36 \n",
"^N225 pl2 158 37.34 7097.03 3344.11 2.12 \n",
"\n",
" 1トレード当たりの平均損益 最大損失額 総損益 期待値 \n",
"^DJI pl1 (P/L Filter) 2.32 -462.46 238.72 0.10 \n",
"^DJI pl2 0.00 -498.86 0.07 0.00 \n",
"^GSPC pl1 (P/L Filter) -2.21 -432.31 -252.04 -0.08 \n",
"^GSPC pl2 -3.60 -782.51 -591.10 -0.13 \n",
"^IXIC pl1 (P/L Filter) 22.12 -1014.90 2322.87 0.32 \n",
"^IXIC pl2 4.95 -1746.38 802.48 0.07 \n",
"^N225 pl1 (P/L Filter) 231.41 -38850.55 23140.96 0.08 \n",
"^N225 pl2 554.80 -51447.14 87658.12 0.17 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.concat([\n",
" pd.DataFrame([y[0] for x, y in d4.items()], index=[f'{x} pl1 (P/L Filter)' for x in d4.keys()], columns=d4['^DJI'][0]),\n",
" pd.DataFrame([y[1] for x, y in d4.items()], index=[f'{x} pl2' for x in d4.keys()], columns=d4['^DJI'][1]),\n",
"]).sort_index()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 株価"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def plot2(d):\n",
" l = [y['close'].rename(x) for x, y in d.items()]\n",
" df = pd.concat(l, axis=1)\n",
" df2 = df.fillna(method='ffill').fillna(method='backfill')\n",
" row = df2.iloc[0].values.tolist()\n",
" data = [row for i in range(df2.index.size)]\n",
" df3 = pd.DataFrame(data=data, index=df2.index, columns=df2.columns)\n",
" df4 = ((df2 - df3) / df3)\n",
" df4.plot(title='index')\n",
" return None\n",
"\n",
"plot2(d2)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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