{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["## \u5e01\u5b89\u671f\u8d27\u591a\u5e01\u79cd\u5bf9\u51b2\u7b56\u7565\u6700\u8fd1\u7684\u590d\u76d8\u548c\u5206\u949f\u7ea7K\u7ebf\u56de\u6d4b\u7684\u7ed3\u679c\n", "\n", "\u5e01\u5b89\u591a\u5e01\u79cd\u5bf9\u51b2\u7b56\u7565\u7684\u7814\u7a76\u62a5\u544a\u5df2\u7ecf\u53d1\u4e863\u7bc7\uff0c\u8fd9\u91cc\u662f\u7b2c4\u7bc7\u3002\u524d\u4e09\u7bc7\u7684\u8fde\u63a5\uff0c\u6ca1\u770b\u7684\u4e00\u5b9a\u8981\u518d\u770b\u4e00\u904d\uff0c\u53ef\u4ee5\u4e86\u89e3\u7b56\u7565\u7684\u6210\u578b\u601d\u8def\uff0c\u5177\u4f53\u53c2\u6570\u7684\u8bbe\u7f6e\u548c\u7b56\u7565\u903b\u8f91\u3002\n", "\n", "- [\u5343\u56e2\u5927\u6218]\u5e01\u5b89\u671f\u8d27\u591a\u5e01\u79cd\u5bf9\u51b2\u7b56\u7565\u7814\u7a76\uff08\u7b2c1\u7bc7\uff09\uff1ahttps://www.fmz.com/digest-topic/5294\n", "- [\u5343\u56e2\u5927\u6218]\u5e01\u5b89\u671f\u8d27\u505a\u7a7a\u8d85\u6da8\u505a\u591a\u8d85\u8dcc\u7b56\u7565\u91cd\u8981\u4f18\u5316\uff08\u7b2c2\u7bc7\uff09https://www.fmz.com/digest-topic/5364\n", "- [\u5343\u56e2\u5927\u6218]\u5e01\u5b89\u671f\u8d27\u505a\u7a7a\u8d85\u6da8\u505a\u591a\u8d85\u8dcc\u7b56\u7565\u98ce\u9669\u5206\u6790\uff08\u7b2c3\u7bc7\uff09https://www.fmz.com/digest-topic/5400\n", "\n", "\u5f88\u591a\u4eba\u8fd8\u4e0d\u4f1a\u4f7f\u7528\u7814\u7a76\u73af\u5883\uff0c\u8fd9\u91cc\u6709\u4e00\u7bc7\u7b80\u5355\u7684\u5165\u95e8\u4ecb\u7ecd:https://www.fmz.com/bbs-topic/4388\n", "\n", "\u672c\u7bc7\u6587\u7ae0\u8981\u590d\u76d8\u4ee5\u4e0b\u6700\u8fd11\u5468\u7684\u5b9e\u76d8\u60c5\u51b5\uff0c\u603b\u7ed3\u4e00\u4e0b\u5f97\u5931\u3002\u7531\u4e8e\u722c\u53d6\u4e86\u6700\u8fd1\u4e24\u4e2a\u6708\u7684\u5e01\u5b89\u671f\u8d27\u5206\u949f\u7ebf\u6570\u636e\uff0c\u53ef\u4ee5\u66f4\u65b0\u4e0b\u539f\u67651hK\u7ebf\u7684\u56de\u6d4b\u7ed3\u679c\uff0c\u66f4\u80fd\u8bf4\u660e\u4e00\u4e9b\u53c2\u6570\u8bbe\u7f6e\u7684\u542b\u4e49\u3002"]}, {"cell_type": "code", "execution_count": 1, "metadata": {"collapsed": true}, "outputs": [], "source": ["# \u9700\u8981\u5bfc\u5165\u7684\u5e93\n", "import pandas as pd\n", "import requests\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "%matplotlib inline"]}, {"cell_type": "code", "execution_count": 91, "metadata": {"collapsed": true}, "outputs": [], "source": ["symbols = ['BTC','ETH', 'BCH', 'XRP', 'EOS', 'LTC', 'TRX', 'ETC', 'LINK', 'XLM', 'ADA', 'XMR', 'DASH', 'ZEC', 'XTZ', 'BNB', 'ATOM', 'ONT', 'IOTA', 'BAT', 'VET', 'NEO', 'QTUM', 'IOST']"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u5206\u949f\u7ebf\u6570\u636e\n", "\n", "\u6570\u636e\u4ece2\u670821\u65e5\u52304\u670815\u4e0b\u5348\u4e24\u70b9\uff0c\u517177160\\*24\u6761\uff0c\u8fd9\u5927\u5927\u964d\u4f4e\u4e86\u6211\u4eec\u7684\u56de\u6d4b\u901f\u5ea6\uff0c\u56de\u6d4b\u5f15\u64ce\u4e5f\u4e0d\u591f\u9ad8\u6548\uff0c\u53ef\u4ee5\u81ea\u884c\u4f18\u5316\u3002\u4ee5\u540e\u6709\u9700\u8981\uff0c\u6211\u4f1a\u5b9a\u671f\u8ffd\u8e2a\u4e00\u4e0b\u6700\u65b0\u6570\u636e\u3002"]}, {"cell_type": "code", "execution_count": 306, "metadata": {}, "outputs": [{"data": {"text/plain": ["(77160, 24)"]}, "execution_count": 306, "metadata": {}, "output_type": "execute_result"}], "source": ["price_usdt = pd.read_csv('https://www.fmz.com/upload/asset/2b1fa7ab641385067ad.csv',index_col = 0)\n", "price_usdt.shape"]}, {"cell_type": "code", "execution_count": 309, "metadata": {"collapsed": true}, "outputs": [], "source": ["price_usdt.index = pd.to_datetime(price_usdt.index,unit='ms')\n", "price_usdt_norm = price_usdt/price_usdt.fillna(method='bfill').iloc[0,]\n", "price_usdt_btc = price_usdt.divide(price_usdt['BTC'],axis=0)\n", "price_usdt_btc_norm = price_usdt_btc/price_usdt_btc.fillna(method='bfill').iloc[0,]"]}, {"cell_type": "code", "execution_count": 252, "metadata": {"collapsed": true}, "outputs": [], "source": ["class Exchange:\n", "    \n", "    def __init__(self, trade_symbols, leverage=20, commission=0.00005,  initial_balance=10000, log=False):\n", "        self.initial_balance = initial_balance #\u521d\u59cb\u7684\u8d44\u4ea7\n", "        self.commission = commission\n", "        self.leverage = leverage\n", "        self.trade_symbols = trade_symbols\n", "        self.date = ''\n", "        self.log = log\n", "        self.df = pd.DataFrame(columns=['margin','total','leverage','realised_profit','unrealised_profit'])\n", "        self.account = {'USDT':{'realised_profit':0, 'margin':0, 'unrealised_profit':0, 'total':initial_balance, 'leverage':0, 'fee':0}}\n", "        for symbol in trade_symbols:\n", "            self.account[symbol] = {'amount':0, 'hold_price':0, 'value':0, 'price':0, 'realised_profit':0, 'margin':0, 'unrealised_profit':0,'fee':0}\n", "            \n", "    def Trade(self, symbol, direction, price, amount, msg=''):\n", "        if self.date and self.log:\n", "            print('%-20s%-5s%-5s%-10.8s%-8.6s %s'%(str(self.date), symbol, 'buy' if direction == 1 else 'sell', price, amount, msg))\n", "            \n", "        cover_amount = 0 if direction*self.account[symbol]['amount'] >=0 else min(abs(self.account[symbol]['amount']), amount)\n", "        open_amount = amount - cover_amount\n", "        \n", "        self.account['USDT']['realised_profit'] -= price*amount*self.commission #\u6263\u9664\u624b\u7eed\u8d39\n", "        self.account['USDT']['fee'] += price*amount*self.commission\n", "        self.account[symbol]['fee'] += price*amount*self.commission\n", "        \n", "        if cover_amount > 0: #\u5148\u5e73\u4ed3\n", "            self.account['USDT']['realised_profit'] += -direction*(price - self.account[symbol]['hold_price'])*cover_amount  #\u5229\u6da6\n", "            self.account['USDT']['margin'] -= cover_amount*self.account[symbol]['hold_price']/self.leverage #\u91ca\u653e\u4fdd\u8bc1\u91d1\n", "            \n", "            self.account[symbol]['realised_profit'] += -direction*(price - self.account[symbol]['hold_price'])*cover_amount\n", "            self.account[symbol]['amount'] -= -direction*cover_amount\n", "            self.account[symbol]['margin'] -=  cover_amount*self.account[symbol]['hold_price']/self.leverage\n", "            self.account[symbol]['hold_price'] = 0 if self.account[symbol]['amount'] == 0 else self.account[symbol]['hold_price']\n", "            \n", "        if open_amount > 0:\n", "            total_cost = self.account[symbol]['hold_price']*direction*self.account[symbol]['amount'] + price*open_amount\n", "            total_amount = direction*self.account[symbol]['amount']+open_amount\n", "            \n", "            self.account['USDT']['margin'] +=  open_amount*price/self.leverage            \n", "            self.account[symbol]['hold_price'] = total_cost/total_amount\n", "            self.account[symbol]['amount'] += direction*open_amount\n", "            self.account[symbol]['margin'] +=  open_amount*price/self.leverage\n", "            \n", "        self.account[symbol]['unrealised_profit'] = (price - self.account[symbol]['hold_price'])*self.account[symbol]['amount']\n", "        self.account[symbol]['price'] = price\n", "        self.account[symbol]['value'] = abs(self.account[symbol]['amount'])*price\n", "        \n", "        return True\n", "    \n", "    def Buy(self, symbol, price, amount, msg=''):\n", "        self.Trade(symbol, 1, price, amount, msg)\n", "        \n", "    def Sell(self, symbol, price, amount, msg=''):\n", "        self.Trade(symbol, -1, price, amount, msg)\n", "        \n", "    def Update(self, date, close_price): #\u5bf9\u8d44\u4ea7\u8fdb\u884c\u66f4\u65b0\n", "        self.date = date\n", "        self.close = close_price\n", "        self.account['USDT']['unrealised_profit'] = 0\n", "        for symbol in self.trade_symbols:\n", "            if np.isnan(close_price[symbol]):\n", "                continue\n", "            self.account[symbol]['unrealised_profit'] = (close_price[symbol] - self.account[symbol]['hold_price'])*self.account[symbol]['amount']\n", "            self.account[symbol]['price'] = close_price[symbol]\n", "            self.account[symbol]['value'] = abs(self.account[symbol]['amount'])*close_price[symbol]\n", "            self.account['USDT']['unrealised_profit'] += self.account[symbol]['unrealised_profit']\n", "        \n", "        self.account['USDT']['total'] = round(self.account['USDT']['realised_profit'] + self.initial_balance + self.account['USDT']['unrealised_profit'],6)\n", "        self.account['USDT']['leverage'] = round(self.account['USDT']['margin']/self.account['USDT']['total'],4)*self.leverage\n", "        self.df.loc[self.date] = [self.account['USDT']['margin'],self.account['USDT']['total'],self.account['USDT']['leverage'],self.account['USDT']['realised_profit'],self.account['USDT']['unrealised_profit']]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u8fc7\u53bb\u4e00\u5468\u590d\u76d8\n", "\n", "\u7b56\u7565\u4ee3\u78014\u670810\u53f7\u5728\u5fae\u4fe1\u7fa4\u653e\u51fa\uff0c\u521a\u5f00\u59cb\u5c31\u6709\u4e00\u6279\u4eba\u8dd1\u8d77\u4e86\u7b56\u75652\u2014\u2014\u505a\u7a7a\u8d85\u6da8\u505a\u591a\u8d85\u8dcc\uff0c\u5f00\u59cb\u7684\u4e09\u5929\uff0c\u6536\u76ca\u5f88\u597d\uff0c\u56de\u64a4\u5f88\u4f4e\uff0c\u8fc5\u901f\u6fc0\u53d1\u4e86\u5927\u5bb6\u7684\u70ed\u60c5\u3002\u90e8\u5206\u4eba\u653e\u5927\u4e86\u6760\u6746\uff0c\u751a\u81f3\u662f\u6ee1\u6760\u6746\u64cd\u4f5c\uff0c\u6536\u76ca\u4e00\u5929\u5c31\u5e72\u5230\u4e8610%\u3002\u7b56\u7565\u5e7f\u573a\u4e5f\u516c\u5f00\u4e86\u5927\u91cf\u7684\u5b9e\u76d8\uff0c\u5f88\u591a\u4eba\u5f00\u59cb\u4e0d\u6ee1\u8db3\u4e0e\u4fdd\u5b88\u7684\u63a8\u8350\u53c2\u6570\uff0c\u7eb7\u7eb7\u653e\u5927\u4e86\u4ea4\u6613\u91cf\u30024\u670813\u540e\u4f46\u7531\u4e8eBNB\u7684\u72ec\u7acb\u884c\u60c5\uff0c\u7b56\u7565\u5f00\u59cb\u56de\u64a4\u548c\u6a2a\u76d8\uff0c\u5982\u679c\u6309\u9ed8\u8ba43%\u7684trade_value\u6765\u770b\uff0c\u5927\u6982\u56de\u64a4\u4e861%\u3002\u4f46\u5f88\u591a\u4eba\u7531\u4e8e\u653e\u5927\u7684\u53c2\u6570\uff0c\u5bfc\u81f4\u8d5a\u7684\u5c11\uff0c\u4e8f\u5f97\u591a\u3002\u8fd9\u4e00\u6ce2\u56de\u64a4\u8fd8\u7b97\u53ca\u65f6\uff0c\u8ba9\u5927\u5bb6\u51b7\u9759\u4e86\u4e00\u4e9b\u3002\n", "<img src='https://www.fmz.com/upload/asset/29cd534a29206ac4bbd.png'>\n", "\n", "\u9996\u5148\u770b\u4e00\u4e0b\u7b56\u7565\u4e8c\u7684\u5168\u5e01\u79cd\u56de\u6d4b\uff0c\u8fd9\u91cc\u7531\u4e8e\u662f\u5206\u949f\u66f4\u65b0\uff0cAlpha\u53c2\u6570\u9700\u8981\u8c03\u6574\u3002\u4ece\u5b9e\u76d8\u6765\u770b\uff0c\u66f2\u7ebf\u8d70\u52bf\u76f8\u7b26\uff0c\u8bf4\u660e\u6211\u4eec\u7684\u56de\u6d4b\u53ef\u4ee5\u4f5c\u4e3a\u5f88\u5f3a\u7684\u53c2\u8003\uff0c\u51c0\u503c\u4ece4.13\u65e5\u5230\u8fbe\u51c0\u503c\u9876\u70b9\u4e00\u76f4\u5904\u4e8e\u56de\u64a4\u548c\u6a2a\u76d8\u9636\u6bb5\u3002"]}, {"cell_type": "code", "execution_count": 358, "metadata": {"collapsed": true, "scrolled": true}, "outputs": [], "source": ["Alpha = 0.001\n", "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = list(set(symbols))\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 300\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 0.5*trade_value:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < -0.5*trade_value:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2a = e"]}, {"cell_type": "code", "execution_count": 359, "metadata": {}, "outputs": [{"data": {"image/png": 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3Ytri/bj1k23K/leWHrF576vFOpzMkNeTX61S0T4qyNPumEyV/UNraJdHRM7FwJyIiIjI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8yToA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\ndj5esp3/6QAAAABJRU5ErkJggg==\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2a.df['total']/stragey_2d.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u7b56\u75651\uff0c\u505a\u7a7a\u5c71\u5be8\u5e01\u7b56\u7565\u5b9e\u73b0\u4e86\u6b63\u6536\u76ca"]}, {"cell_type": "code", "execution_count": 346, "metadata": {"scrolled": true}, "outputs": [], "source": ["trade_symbols = list(set(symbols)-set(['LINK','BTC','XTZ','BCH', 'ETH'])) #\u505a\u7a7a\u7684\u5e01\u79cd\n", "e = Exchange(trade_symbols+['BTC'],initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 2000\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    empty_value = 0\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        if e.account[symbol]['value'] - trade_value  < -120 :\n", "            e.Sell(symbol, price, round((trade_value-e.account[symbol]['value'])/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if e.account[symbol]['value'] - trade_value > 120 :\n", "            e.Buy(symbol, price, round((e.account[symbol]['value']-trade_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        empty_value += e.account[symbol]['value']\n", "    price = row[1]['BTC']\n", "    if e.account['BTC']['value'] - empty_value < -120:\n", "        e.Buy('BTC', price, round((empty_value-e.account['BTC']['value'])/price,6),round(e.account['BTC']['realised_profit']+e.account['BTC']['unrealised_profit'],2))\n", "    if e.account['BTC']['value'] - empty_value > 120:\n", "        e.Sell('BTC', price, round((e.account['BTC']['value']-empty_value)/price,6),round(e.account['BTC']['realised_profit']+e.account['BTC']['unrealised_profit'],2))\n", "stragey_1 = e"]}, {"cell_type": "code", "execution_count": 360, "metadata": {}, "outputs": [{"data": {"image/png": 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wfpyIiMgX+VRZFoEMPCKiuoRdNaJQud2TCh6p4BswrnLbHE7NiLFnf/HsPMdZLSiyOVAv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\nUL8uqTOts6rWq36d83XKiNjWsqaiHkW5euWG44LKLgFAUzkj4OWu7wa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S0x9uUW1d6tWd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"text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_1.df['total']/stragey_1.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u7b56\u75652\u505a\u591a\u8d85\u8dcc\u505a\u7a7a\u8d85\u6da8\u76c8\u5229\u5206\u6790\n", "\n", "\u628a\u6700\u540e\u8d26\u6237\u4fe1\u606f\u6253\u5370\u51fa\u6765\uff0c\u53ef\u89c1\u5927\u90e8\u5206\u5e01\u79cd\u90fd\u5e26\u6765\u4e86\u5229\u6da6\uff0cBNB\u4e8f\u635f\u6700\u591a\uff0c\u8fd9\u4e5f\u662f\u4e3b\u8981\u56e0\u4e3aBNB\u8d70\u51fa\u4e86\u4e00\u6ce2\u72ec\u7acb\u884c\u60c5\uff0c\u4e0a\u6da8\u4e0d\u5c11,\u6700\u5927\u504f\u79bb\u4e860.06\u3002"]}, {"cell_type": "code", "execution_count": 367, "metadata": {"scrolled": true}, "outputs": [{"data": {"text/html": ["<div>\n", "<style>\n", "    .dataframe thead tr:only-child th {\n", "        text-align: right;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: left;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>amount</th>\n", "      <th>fee</th>\n", "      <th>hold_price</th>\n", "      <th>leverage</th>\n", "      <th>margin</th>\n", "      <th>price</th>\n", "      <th>realised_profit</th>\n", "      <th>total</th>\n", "      <th>unrealised_profit</th>\n", "      <th>value</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>BNB</th>\n", "      <td>-24.871</td>\n", "      <td>17.459</td>\n", "      <td>15.527</td>\n", "      <td>NaN</td>\n", "      <td>19.308</td>\n", "      <td>15.701</td>\n", "      <td>-98.445</td>\n", "      <td>NaN</td>\n", "      <td>-4.336</td>\n", "      <td>390.497</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ONT</th>\n", "      <td>-304.260</td>\n", "      <td>6.416</td>\n", "      <td>0.394</td>\n", "      <td>NaN</td>\n", "      <td>6.000</td>\n", "      <td>0.397</td>\n", "      <td>-23.734</td>\n", "      <td>NaN</td>\n", "      <td>-0.913</td>\n", "      <td>120.913</td>\n", "    </tr>\n", "    <tr>\n", "      <th>IOST</th>\n", "      <td>0.000</td>\n", "      <td>6.066</td>\n", "      <td>0.003</td>\n", "      <td>NaN</td>\n", "      <td>0.000</td>\n", "      <td>0.003</td>\n", "      <td>-23.349</td>\n", "      <td>NaN</td>\n", "      <td>0.000</td>\n", "      <td>0.000</td>\n", "    </tr>\n", "    <tr>\n", "      <th>BCH</th>\n", "      <td>1.353</td>\n", "      <td>12.002</td>\n", "      <td>222.789</td>\n", "      <td>NaN</td>\n", "      <td>15.073</td>\n", "      <td>223.920</td>\n", "      <td>-21.968</td>\n", "      <td>NaN</td>\n", "      <td>1.530</td>\n", "      <td>302.990</td>\n", "    </tr>\n", "    <tr>\n", "      <th>VET</th>\n", "      <td>-104305.964</td>\n", "      <td>13.095</td>\n", "      <td>0.004</td>\n", "      <td>NaN</td>\n", "      <td>19.295</td>\n", "      <td>0.004</td>\n", "      <td>-17.984</td>\n", "      <td>NaN</td>\n", "      <td>-4.197</td>\n", "      <td>390.104</td>\n", "    </tr>\n", "    <tr>\n", "      <th>LTC</th>\n", "      <td>2.180</td>\n", "      <td>4.727</td>\n", "      <td>40.800</td>\n", "      <td>NaN</td>\n", "      <td>4.448</td>\n", "      <td>41.540</td>\n", "      <td>-11.820</td>\n", "      <td>NaN</td>\n", "      <td>1.613</td>\n", "      <td>90.567</td>\n", "    </tr>\n", "    <tr>\n", "      <th>TRX</th>\n", "      <td>9584.665</td>\n", "      <td>8.066</td>\n", "      <td>0.012</td>\n", "      <td>NaN</td>\n", "      <td>5.952</td>\n", "      <td>0.013</td>\n", "      <td>-5.932</td>\n", "      <td>NaN</td>\n", "      <td>1.250</td>\n", "      <td>120.288</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ADA</th>\n", "      <td>-3573.556</td>\n", "      <td>7.060</td>\n", "      <td>0.034</td>\n", "      <td>NaN</td>\n", "      <td>6.000</td>\n", "      <td>0.034</td>\n", "      <td>-3.283</td>\n", "      <td>NaN</td>\n", "      <td>0.143</td>\n", "      <td>119.857</td>\n", "    </tr>\n", "    <tr>\n", "      <th>NEO</th>\n", "      <td>0.000</td>\n", "      <td>3.961</td>\n", "      <td>7.312</td>\n", "      <td>NaN</td>\n", "      <td>0.000</td>\n", "      <td>7.345</td>\n", "      <td>4.201</td>\n", "      <td>NaN</td>\n", "      <td>0.000</td>\n", "      <td>0.000</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ETH</th>\n", "      <td>-0.190</td>\n", "      <td>6.102</td>\n", "      <td>160.908</td>\n", "      <td>NaN</td>\n", "      <td>1.529</td>\n", "      <td>160.600</td>\n", "      <td>5.217</td>\n", "      <td>NaN</td>\n", "      <td>0.059</td>\n", "      <td>30.525</td>\n", "    </tr>\n", "    <tr>\n", "      <th>BTC</th>\n", "      <td>0.022</td>\n", "      <td>8.264</td>\n", "      <td>6886.980</td>\n", "      <td>NaN</td>\n", "      <td>7.500</td>\n", "      <td>6901.600</td>\n", "      <td>5.682</td>\n", "      <td>NaN</td>\n", "      <td>0.318</td>\n", "      <td>150.317</td>\n", "    </tr>\n", "    <tr>\n", "      <th>EOS</th>\n", "      <td>-36.526</td>\n", "      <td>6.573</td>\n", "      <td>2.464</td>\n", "      <td>NaN</td>\n", "      <td>4.500</td>\n", "      <td>2.488</td>\n", "      <td>13.441</td>\n", "      <td>NaN</td>\n", "      <td>-0.877</td>\n", "      <td>90.877</td>\n", "    </tr>\n", "    <tr>\n", "      <th>XRP</th>\n", "      <td>-318.302</td>\n", "      <td>7.951</td>\n", "      <td>0.188</td>\n", "      <td>NaN</td>\n", "      <td>3.000</td>\n", "      <td>0.189</td>\n", "      <td>15.581</td>\n", "      <td>NaN</td>\n", "      <td>-0.255</td>\n", "      <td>60.255</td>\n", "    </tr>\n", "    <tr>\n", "      <th>QTUM</th>\n", "      <td>-111.029</td>\n", "      <td>6.296</td>\n", "      <td>1.351</td>\n", "      <td>NaN</td>\n", "      <td>7.500</td>\n", "      <td>1.359</td>\n", "      <td>18.775</td>\n", "      <td>NaN</td>\n", "      <td>-0.888</td>\n", "      <td>150.888</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ATOM</th>\n", "      <td>-225.094</td>\n", "      <td>16.758</td>\n", "      <td>2.377</td>\n", "      <td>NaN</td>\n", "      <td>26.753</td>\n", "      <td>2.419</td>\n", "      <td>23.894</td>\n", "      <td>NaN</td>\n", "      <td>-9.451</td>\n", "      <td>544.502</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ZEC</th>\n", "      <td>3.378</td>\n", "      <td>15.476</td>\n", "      <td>35.786</td>\n", "      <td>NaN</td>\n", "      <td>6.045</td>\n", "      <td>35.960</td>\n", "      <td>35.389</td>\n", "      <td>NaN</td>\n", "      <td>0.589</td>\n", "      <td>121.486</td>\n", "    </tr>\n", "    <tr>\n", "      <th>IOTA</th>\n", "      <td>2294.455</td>\n", "      <td>7.898</td>\n", "      <td>0.159</td>\n", "      <td>NaN</td>\n", "      <td>18.185</td>\n", "      <td>0.158</td>\n", "      <td>43.010</td>\n", "      <td>NaN</td>\n", "      <td>-0.490</td>\n", "      <td>363.212</td>\n", "    </tr>\n", "    <tr>\n", "      <th>BAT</th>\n", "      <td>-1083.685</td>\n", "      <td>17.144</td>\n", "      <td>0.166</td>\n", "      <td>NaN</td>\n", "      <td>8.990</td>\n", "      <td>0.166</td>\n", "      <td>45.001</td>\n", "      <td>NaN</td>\n", "      <td>-0.526</td>\n", "      <td>180.325</td>\n", "    </tr>\n", "    <tr>\n", "      <th>XMR</th>\n", "      <td>-3.887</td>\n", "      <td>7.198</td>\n", "      <td>54.172</td>\n", "      <td>NaN</td>\n", "      <td>10.530</td>\n", "      <td>54.800</td>\n", "      <td>49.430</td>\n", "      <td>NaN</td>\n", "      <td>-2.441</td>\n", "      <td>213.032</td>\n", "    </tr>\n", "    <tr>\n", "      <th>XLM</th>\n", "      <td>2488.594</td>\n", "      <td>9.248</td>\n", "      <td>0.048</td>\n", "      <td>NaN</td>\n", "      <td>5.963</td>\n", "      <td>0.048</td>\n", "      <td>64.774</td>\n", "      <td>NaN</td>\n", "      <td>0.938</td>\n", "      <td>120.199</td>\n", "    </tr>\n", "    <tr>\n", "      <th>ETC</th>\n", "      <td>-22.629</td>\n", "      <td>11.372</td>\n", "      <td>5.329</td>\n", "      <td>NaN</td>\n", "      <td>6.029</td>\n", "      <td>5.334</td>\n", "      <td>65.262</td>\n", "      <td>NaN</td>\n", "      <td>-0.122</td>\n", "      <td>120.701</td>\n", "    </tr>\n", "    <tr>\n", "      <th>LINK</th>\n", "      <td>218.778</td>\n", "      <td>47.897</td>\n", "      <td>3.254</td>\n", "      <td>NaN</td>\n", "      <td>35.592</td>\n", "      <td>3.280</td>\n", "      <td>84.681</td>\n", "      <td>NaN</td>\n", "      <td>5.759</td>\n", "      <td>717.593</td>\n", "    </tr>\n", "    <tr>\n", "      <th>XTZ</th>\n", "      <td>45.616</td>\n", "      <td>26.661</td>\n", "      <td>1.973</td>\n", "      <td>NaN</td>\n", "      <td>4.500</td>\n", "      <td>1.968</td>\n", "      <td>146.921</td>\n", "      <td>NaN</td>\n", "      <td>-0.228</td>\n", "      <td>89.772</td>\n", "    </tr>\n", "    <tr>\n", "      <th>DASH</th>\n", "      <td>3.721</td>\n", "      <td>20.171</td>\n", "      <td>72.810</td>\n", "      <td>NaN</td>\n", "      <td>13.545</td>\n", "      <td>73.320</td>\n", "      <td>160.891</td>\n", "      <td>NaN</td>\n", "      <td>1.896</td>\n", "      <td>272.790</td>\n", "    </tr>\n", "    <tr>\n", "      <th>USDT</th>\n", "      <td>NaN</td>\n", "      <td>293.860</td>\n", "      <td>NaN</td>\n", "      <td>0.46</td>\n", "      <td>236.236</td>\n", "      <td>NaN</td>\n", "      <td>281.775</td>\n", "      <td>10271.146</td>\n", "      <td>-10.628</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["          amount      fee  hold_price  leverage   margin     price  \\\n", "BNB      -24.871   17.459      15.527       NaN   19.308    15.701   \n", "ONT     -304.260    6.416       0.394       NaN    6.000     0.397   \n", "IOST       0.000    6.066       0.003       NaN    0.000     0.003   \n", "BCH        1.353   12.002     222.789       NaN   15.073   223.920   \n", "VET  -104305.964   13.095       0.004       NaN   19.295     0.004   \n", "LTC        2.180    4.727      40.800       NaN    4.448    41.540   \n", "TRX     9584.665    8.066       0.012       NaN    5.952     0.013   \n", "ADA    -3573.556    7.060       0.034       NaN    6.000     0.034   \n", "NEO        0.000    3.961       7.312       NaN    0.000     7.345   \n", "ETH       -0.190    6.102     160.908       NaN    1.529   160.600   \n", "BTC        0.022    8.264    6886.980       NaN    7.500  6901.600   \n", "EOS      -36.526    6.573       2.464       NaN    4.500     2.488   \n", "XRP     -318.302    7.951       0.188       NaN    3.000     0.189   \n", "QTUM    -111.029    6.296       1.351       NaN    7.500     1.359   \n", "ATOM    -225.094   16.758       2.377       NaN   26.753     2.419   \n", "ZEC        3.378   15.476      35.786       NaN    6.045    35.960   \n", "IOTA    2294.455    7.898       0.159       NaN   18.185     0.158   \n", "BAT    -1083.685   17.144       0.166       NaN    8.990     0.166   \n", "XMR       -3.887    7.198      54.172       NaN   10.530    54.800   \n", "XLM     2488.594    9.248       0.048       NaN    5.963     0.048   \n", "ETC      -22.629   11.372       5.329       NaN    6.029     5.334   \n", "LINK     218.778   47.897       3.254       NaN   35.592     3.280   \n", "XTZ       45.616   26.661       1.973       NaN    4.500     1.968   \n", "DASH       3.721   20.171      72.810       NaN   13.545    73.320   \n", "USDT         NaN  293.860         NaN      0.46  236.236       NaN   \n", "\n", "      realised_profit      total  unrealised_profit    value  \n", "BNB           -98.445        NaN             -4.336  390.497  \n", "ONT           -23.734        NaN             -0.913  120.913  \n", "IOST          -23.349        NaN              0.000    0.000  \n", "BCH           -21.968        NaN              1.530  302.990  \n", "VET           -17.984        NaN             -4.197  390.104  \n", "LTC           -11.820        NaN              1.613   90.567  \n", "TRX            -5.932        NaN              1.250  120.288  \n", "ADA            -3.283        NaN              0.143  119.857  \n", "NEO             4.201        NaN              0.000    0.000  \n", "ETH             5.217        NaN              0.059   30.525  \n", "BTC             5.682        NaN              0.318  150.317  \n", "EOS            13.441        NaN             -0.877   90.877  \n", "XRP            15.581        NaN             -0.255   60.255  \n", "QTUM           18.775        NaN             -0.888  150.888  \n", "ATOM           23.894        NaN             -9.451  544.502  \n", "ZEC            35.389        NaN              0.589  121.486  \n", "IOTA           43.010        NaN             -0.490  363.212  \n", "BAT            45.001        NaN             -0.526  180.325  \n", "XMR            49.430        NaN             -2.441  213.032  \n", "XLM            64.774        NaN              0.938  120.199  \n", "ETC            65.262        NaN             -0.122  120.701  \n", "LINK           84.681        NaN              5.759  717.593  \n", "XTZ           146.921        NaN             -0.228   89.772  \n", "DASH          160.891        NaN              1.896  272.790  \n", "USDT          281.775  10271.146            -10.628      NaN  "]}, "execution_count": 367, "metadata": {}, "output_type": "execute_result"}], "source": ["pd.DataFrame(stragey_2a.account).T.apply(lambda x:round(x,3)).sort_values(by='realised_profit')"]}, {"cell_type": "code", "execution_count": 355, "metadata": {}, "outputs": [{"data": {"image/png": 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t8Oe/8Pxif3+A5UtCnlfl64EMW1PE97MvW4TzRvfByn3hM/s5GTbAZsPwQX1Q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\nQmCC\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# BNB\u7684\u504f\u79bb\u60c5\u51b5\n", "(price_usdt_btc_norm2.iloc[-7500:].BNB-price_usdt_btc_norm_mean[-7500:]).plot(figsize=(17,6),grid = True);\n", "#price_usdt_btc_norm_mean[-7500:].plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u5982\u679c\u628aBNB\uff0cATOM\u4e8f\u635f\u5927\u6237\u53bb\u6389\u7684\u7ed3\u679c\u5982\u4f55\uff0c\u8868\u73b0\u597d\u4e86\u4e00\u4e9b\uff0c\u4f46\u6700\u8fd1\u4f9d\u7136\u662f\u4f1a\u56de\u64a4\u9636\u6bb5\u3002"]}, {"cell_type": "code", "execution_count": 363, "metadata": {"collapsed": true}, "outputs": [], "source": ["Alpha = 0.001\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = list(set(symbols)-set(['BNB','ATOM']))\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 300\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 0.5*trade_value:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < -0.5*trade_value:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2b = e"]}, {"cell_type": "code", "execution_count": 364, "metadata": {}, "outputs": [{"data": {"image/png": 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y84s4dLSAqGD3bOe3fbbM4zVvz9vK83/tTnZ+kSMoB88llU6Uv48XNwxpXW2B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\nf/Kq43TLmRO8CgkRFOQmbJF/AAAAAN1QqyPmZvaYpCJJfcysWNItktI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"text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2b.df['total']/stragey_2b.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6700\u8fd1\u4e24\u5929\u6d41\u884c\u8dd1\u4e3b\u6d41\u5e01\u7b56\u7565\uff0c\u6211\u4eec\u4e5f\u56de\u6d4b\u4e00\u4e0b\u8fd9\u79cd\u7b56\u7565\u3002\u7531\u4e8e\u5e01\u79cd\u51cf\u5c11\uff0ctrade_value\u9002\u5f53\u589e\u52a04\u500d\u4ee5\u5bf9\u6bd4,\u7ed3\u679c\u8868\u73b0\u4e0d\u9519\uff0c\u5c24\u5176\u662f\u6700\u8fd1\u56de\u64a4\u5f88\u5c0f\u3002\n", "\n", "\u9700\u8981\u6ce8\u610f\u7684\u662f\u53ea\u8dd1\u4e3b\u6d41\u5e01\u5728\u66f4\u957f\u65f6\u95f4\u7684\u56de\u6d4b\u4e2d\u662f\u4e0d\u5982\u5168\u5e01\u79cd\u7684\uff0c\u56de\u64a4\u4e5f\u66f4\u591a\u3002\u81ea\u5df1\u53ef\u4ee5\u52a8\u624b\u5728\u5c0f\u65f6\u7ebf\u4e0a\u56de\u6d4b\u4ee5\u4e0b\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\u5e01\u79cd\u5c11\u4e86\u8d44\u91d1\u5206\u6563\uff0c\u6ce2\u52a8\u6027\u53cd\u800c\u4e0a\u5347\u3002"]}, {"cell_type": "code", "execution_count": 365, "metadata": {"collapsed": true}, "outputs": [], "source": ["Alpha = 0.001\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = ['ETH','LTC','EOS','XRP','BCH']\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 1200\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 0.5*trade_value:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < -0.5*trade_value:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2c = e"]}, {"cell_type": "code", "execution_count": 366, "metadata": {}, "outputs": [{"data": {"image/png": 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mzN/OpBmbeeWaLh63r7qiexw/rz9I/bBAdh51THf/7//1YmDr6Erfy7Ismk0oGp2PCvHn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\n/w8rSGeNWXm1ZAAAAABJRU5ErkJggg==\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2c.df['total']/e.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u624b\u7eed\u8d39\u548c\u7b56\u7565\u53c2\u6570\u5206\u6790\n", "\n", "\u7531\u4e8e\u524d\u51e0\u4e2a\u62a5\u544a\u7528\u7684\u90fd\u662f\u5c0f\u65f6\u7ebf\uff0c\u548c\u5b9e\u76d8\u53c2\u6570\u60c5\u51b5\u53c2\u6570\u5f88\u5927\uff0c\u73b0\u5728\u6709\u4e86\u5206\u949f\u7ebf\uff0c\u5c31\u53ef\u4ee5\u770b\u51fa\u6765\u4e00\u4e9b\u53c2\u6570\u8981\u5982\u4f55\u8bbe\u7f6e\uff0c\u9996\u5148\u5148\u770b\u9ed8\u8ba4\u53c2\u6570\u7684\u8bbe\u7f6e:\n", "\n", "- Alpha = 0.03 \u6307\u6570\u79fb\u52a8\u5e73\u5c40\u7684Alpha\u53c2\u6570\uff0c\u8bbe\u7f6e\u7684\u8d8a\u5927\uff0c\u57fa\u51c6\u4ef7\u683c\u8ddf\u8e2a\u8d8a\u654f\u611f\uff0c\u4ea4\u6613\u7684\u8d8a\u5c11\uff0c\u6700\u7ec8\u6301\u4ed3\u4e5f\u4f1a\u8d8a\u4f4e\uff0c\u964d\u4f4e\u4e86\u6760\u6746\uff0c\u4f46\u4f1a\u964d\u4f4e\u6536\u76ca\uff0c\u964d\u4f4e\u6700\u5927\u56de\u64a4\u3002\n", "- Update_base_price_time_interval = 30\\*60 \u591a\u4e45\u66f4\u65b0\u4e00\u6b21\u57fa\u51c6\u4ef7\u683c, \u5355\u4f4d\u79d2\uff0c\u548cAlpha\u53c2\u6570\u76f8\u5173,Alpha \u8bbe\u7f6e\u7684\u8d8a\u5c0f\uff0c\u8fd9\u4e2a\u95f4\u9694\u4e5f\u53ef\u4ee5\u8bbe\u7f6e\u7684\u66f4\u5c0f\n", "- Trade_value\uff1a\u5c71\u5be8\u5e01\u4ef7\u683c\uff08BTC\u8ba1\u4ef7\uff09\u6bcf\u504f\u79bb\u6307\u65701%\u6301\u6709\u4ef7\u503c\uff0c\u9700\u8981\u6839\u636e\u81ea\u5df1\u6295\u5165\u7684\u603b\u8d44\u91d1\u548c\u98ce\u9669\u504f\u597d\u51b3\u5b9a\uff0c\u5efa\u8bae\u8bbe\u7f6e\u4e3a\u603b\u8d44\u91d1\u76843-10%\u3002\u53ef\u901a\u8fc7\u7814\u7a76\u73af\u5883\u7684\u56de\u6d4b\u770b\u6760\u6746\u7684\u5927\u5c0f\uff0cTrade_value\u53ef\u4ee5\u5c0f\u4e8eAdjust_value\uff0c\u5982Adjust_value\u7684\u4e00\u534a\uff0c\u8fd9\u6837\u76f8\u5f53\u4e8e\u504f\u79bb\u6307\u65702%\u7684\u6301\u6709\u4ef7\u503c\u3002\n", "- Adjust_value\uff1a \u5408\u7ea6\u4ef7\u503c\uff08USDT\u8ba1\u4ef7\uff09\u8c03\u6574\u504f\u79bb\u503c\u3002 \u5f53 \u6307\u6570\u504f\u79bb * Trade_value - \u5f53\u524d\u6301\u4ed3 > Adjust_value\uff0c\u5373\u76ee\u6807\u6301\u4ed3\u548c\u5f53\u524d\u6301\u4ed3\u7684\u5dee\u8d85\u8fc7\u6b64\u503c\uff0c\u5c31\u4f1a\u5f00\u59cb\u4ea4\u6613\u3002\u8fc7\u5927\u8c03\u6574\u8f83\u6162\uff0c\u592a\u5c0f\u4ea4\u6613\u9891\u7e41\uff0c\u4e0d\u80fd\u4f4e\u4e8e10\uff0c\u5426\u5219\u4f1a\u8fbe\u4e0d\u5230\u6700\u5c0f\u6210\u4ea4,\u63a8\u8350\u8bbe\u7f6e\u4e3aTrade_value\u768440%\u4ee5\u4e0a\u3002\n", "\n", "Trade_value\u4e0d\u5fc5\u8bf4\uff0c\u76f4\u63a5\u5173\u7cfb\u5230\u6211\u4eec\u7684\u6536\u76ca\u548c\u98ce\u9669\uff0c\u5982\u679cTrade_value\u4e00\u76f4\u6ca1\u6539\u8fc7\uff0c\u5230\u76ee\u524d\u5e94\u8be5\u662f\u76c8\u5229\u7684\u3002\n", "\n", "Alpha\u7531\u4e8e\u6211\u4eec\u8fd9\u6b21\u6709\u4e86\u66f4\u9ad8\u9891\u7684\u6570\u636e\uff0c\u663e\u7136\u4e5f\u89811min\u66f4\u65b0\u4e00\u6b21\u624d\u66f4\u52a0\u5408\u7406\uff0c\u81ea\u7136\u8981\u6bd4\u539f\u6765\u5c0f\uff0c\u5177\u4f53\u591a\u5c11\u53ef\u4ee5\u901a\u8fc7\u56de\u6d4b\u786e\u5b9a\u3002\n", "\n", "Adjust_value\u4e00\u76f4\u63a8\u8350Trade_value\u768440%\u4ee5\u4e0a\uff0c\u539f\u67651hK\u7ebf\u8bbe\u7f6e\u591a\u5c11\u90fd\u5f71\u54cd\u4e0d\u5927\uff0c\u6709\u4e9b\u4eba\u5e0c\u671b\u8c03\u7684\u5f88\u4f4e\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u66f4\u52a0\u7d27\u5bc6\u7684\u8d34\u8fd1\u76ee\u6807\u6301\u4ed3\uff0c\u8fd9\u91cc\u5c06\u4f1a\u5206\u6790\u4e3a\u4ec0\u4e48\u4e0d\u5e94\u8be5\u8fd9\u6837\u505a\u3002\n", "\n", "**\u9996\u5148\u5206\u6790\u624b\u7eed\u8d39\u7684\u95ee\u9898**\n", "\n", "\u53ef\u4ee5\u770b\u5230\u5728\u9ed8\u8ba4\u8d39\u73870.00075\u7684\u60c5\u51b5\u4e0b\uff0c\u624b\u7eed\u8d39293,\u5229\u6da6\u4e3a270\uff0c\u6bd4\u4f8b\u975e\u5e38\u9ad8\u3002\u6211\u4eec\u628a\u624b\u7eed\u8d39\u8bbe\u4e3a0\uff0cAdjust_value\u8bbe\u7f6e\u4e3a10\uff0c\u770b\u770b\u4f1a\u600e\u6837\u3002"]}, {"cell_type": "code", "execution_count": 369, "metadata": {}, "outputs": [{"data": {"text/plain": ["{'fee': 293.85972778530453,\n", " 'leverage': 0.45999999999999996,\n", " 'margin': 236.23559736312995,\n", " 'realised_profit': 281.77464608744435,\n", " 'total': 10271.146238,\n", " 'unrealised_profit': -10.628408369648495}"]}, "execution_count": 369, "metadata": {}, "output_type": "execute_result"}], "source": ["stragey_2a.account['USDT']"]}, {"cell_type": "code", "execution_count": 370, "metadata": {"collapsed": true}, "outputs": [], "source": ["Alpha = 0.001\n", "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = list(set(symbols))\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0,log=False)\n", "trade_value = 300\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 10:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < 10:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2d = e"]}, {"cell_type": "code", "execution_count": 371, "metadata": {}, "outputs": [{"data": {"image/png": 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HvzOCE/q1KXP17525BTz18ZoSgXt/eqal8PpVxxKGIfFxEdZuy2H0XcUrjx/TqzVH92zF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\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2d.df['total']/e.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u7ed3\u679c\u662f\u4e00\u6761\u76f4\u7ebf\u5411\u4e0a\uff0cBNB\u53ea\u662f\u5e26\u6765\u4e86\u4e00\u70b9\u5c0f\u5c0f\u7684\u6ce2\u6298\uff0c\u8f83\u4f4e\u7684Adjust_value\u6293\u4f4f\u4e86\u6bcf\u4e00\u6b21\u6ce2\u52a8\uff0c\u6ca1\u6709\u624b\u7eed\u8d39\u5229\u6da6\u6781\u4f73\u3002\n", "\n", "\u5982\u679c\u6709\u624b\u7eed\u8d39\uff0cAdjust_value\u5f88\u5c0f\u4f1a\u600e\u6837\uff1f"]}, {"cell_type": "code", "execution_count": 372, "metadata": {}, "outputs": [{"data": {"image/png": 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WC5JWGWOmWpb1N+XtfG6UNwX9fmNMVv4O6u9J6pffNsMY83Bx7yIBB1BRGGPU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\nYII=\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["Alpha = 0.001\n", "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = list(set(symbols))\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 300\n", "for row in price_usdt.iloc[-7500:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 10:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < 10:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2e = e\n", "(stragey_2e.df['total']/e.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u7ed3\u679c\u4e5f\u8d70\u51fa\u4e86\u4e00\u6761\u76f4\u7ebf\u4e0b\u8dcc\u7684\u66f2\u7ebf\uff0c\u60f3\u60f3\u5f88\u5bb9\u6613\u7406\u89e3\uff0c\u5728\u5f88\u5c0f\u7684\u5dee\u4ef7\u8303\u56f4\u9891\u7e41\u8c03\u6574\uff0c\u53ea\u4f1a\u4e8f\u6389\u624b\u7eed\u8d39\u3002\n", "\n", "\u7efc\u5408\u6765\u770b\uff0c\u624b\u7eed\u8d39\u6c34\u5e73\u8d8a\u4f4e\uff0cAdjust_value\u53ef\u4ee5\u8bbe\u7f6e\u7684\u8d8a\u5c0f\uff0c\u4ea4\u6613\u8d8a\u9891\u7e41\uff0c\u5229\u6da6\u8d8a\u9ad8\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["**Alpha\u8bbe\u5b9a\u7684\u95ee\u9898**\n", "\n", "\u65e2\u7136\u6709\u4e86\u5206\u949f\u7ebf\uff0c\u57fa\u51c6\u4ef7\u683c\u5c31\u8981\u4e00\u5206\u949f\u66f4\u65b0\u4e00\u6b21\uff0c\u8fd9\u91cc\u6211\u4eec\u7b80\u5355\u56de\u6d4b\u786e\u5b9a\u4e0balpha\u7684\u5927\u5c0f\u3002\u76ee\u524d\u63a8\u8350Alpha\u8bbe\u7f6e\u4e3a0.001\u3002"]}, {"cell_type": "code", "execution_count": 374, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["0.0001 -77.80281760941007\n", "0.0003 179.38803796199724\n", "0.0006 218.12579924541367\n", "0.001 271.1462377177959\n", "0.0015 250.0014065973528\n", "0.002 207.38692166891275\n", "0.004 129.08021828803027\n", "0.01 65.12410041648158\n", "0.02 58.62356792410955\n"]}], "source": ["for Alpha in [0.0001, 0.0003, 0.0006, 0.001, 0.0015, 0.002, 0.004, 0.01, 0.02]:\n", "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n", "    price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "    trade_symbols = list(set(symbols))\n", "    price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "    e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "    trade_value = 300\n", "    for row in price_usdt.iloc[-7500:].iterrows():\n", "        e.Update(row[0], row[1])\n", "        for symbol in trade_symbols:\n", "            price = row[1][symbol]\n", "            if np.isnan(price):\n", "                continue\n", "            diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "            aim_value = -trade_value*round(diff/0.01,1)\n", "            now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "            if aim_value - now_value > 0.5*trade_value:\n", "                e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "            if aim_value - now_value < -0.5*trade_value:\n", "                e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "    print(Alpha, e.account['USDT']['unrealised_profit']+e.account['USDT']['realised_profit'])"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u6700\u8fd1\u4e24\u6708\u7684\u5206\u949f\u7ebf\u56de\u6d4b\u7ed3\u679c\n", "\n", "\u6700\u540e\u5728\u770b\u770b\u957f\u65f6\u95f4\u56de\u6d4b\u7684\u7ed3\u679c\u3002\u5c31\u5728\u521a\u521a\uff0c\u4e00\u6ce2\u6b64\u8d77\u5f7c\u4f0f\u7684\u4e0a\u6da8\uff0c\u4eca\u65e5\u51c0\u503c\u53c8\u65b0\u4f4e\uff0c\u6765\u7ed9\u5927\u5bb6\u589e\u5f3a\u4ee5\u4e0b\u4fe1\u5fc3\u5427\uff0c\u7531\u4e8e\u5206\u949f\u7ebf\u7684\u9891\u7387\u66f4\u9ad8\uff0c\u5c06\u4f1a\u5728\u5c0f\u65f6\u5185\u5f00\u4ed3\u5e73\u4ed3\uff0c\u6240\u4ee5\u6536\u76ca\u7387\u4f1a\u9ad8\u5f88\u591a\u3002\n", "\n", "\u8fd8\u6709\u4e00\u70b9\uff0c\u6211\u4eec\u4e00\u76f4\u662f\u56fa\u5b9a\u7684trade_value\uff0c\u8fd9\u4f7f\u5f97\u540e\u671f\u8d44\u91d1\u5229\u7528\u7387\u4e0d\u8db3\uff0c\u5b9e\u9645\u4e0a\u7684\u6536\u76ca\u7387\u8fd8\u53ef\u4ee5\u5728\u589e\u52a0\u5f88\u591a\u3002\n", "\n", "\u5728\u8fd9\u4e24\u4e2a\u6708\u7684\u56de\u6d4b\u65f6\u95f4\u5185\uff0c\u6211\u4eec\u5904\u4e8e\u4ec0\u4e48\u4f4d\u7f6e\u54ea\uff1f\n", "\n", "<img src='https://www.fmz.com/upload/asset/274e19e6ca11dcbc289.jpg'>"]}, {"cell_type": "code", "execution_count": 317, "metadata": {"collapsed": true}, "outputs": [], "source": ["Alpha = 0.001\n", "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n", "price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n", "trade_symbols = list(set(symbols))\n", "price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n", "e = Exchange(trade_symbols,initial_balance=10000,commission=0.00075,log=False)\n", "trade_value = 300\n", "for row in price_usdt.iloc[:].iterrows():\n", "    e.Update(row[0], row[1])\n", "    for symbol in trade_symbols:\n", "        price = row[1][symbol]\n", "        if np.isnan(price):\n", "            continue\n", "        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n", "        aim_value = -trade_value*round(diff/0.01,1)\n", "        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n", "        if aim_value - now_value > 0.5*trade_value:\n", "            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "        if aim_value - now_value < -0.5*trade_value:\n", "            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n", "stragey_2f = e"]}, {"cell_type": "code", "execution_count": 357, "metadata": {}, "outputs": [{"data": {"image/png": 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XnDlD+UGf4gmr48rzFfB65Njuy7QHGjG3tnsmbWOMuqJx+TyePhN1xROOoglHP3hmm96x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\nAAAAAElFTkSuQmCC\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2f.df['total']/stragey_2e.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "code", "execution_count": 375, "metadata": {}, "outputs": [{"data": {"image/png": 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NZKNgbgjjMX68rfbMeznh8K46WFuvLzftjVuOYfYAAADpoWcenj5xAvJ4Yq0z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\njvddZ8f8XPXqEvszFOyZd9/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95UGPfbhKf5m2Jm6ZHU5g+PLnG5KuPzidZveBzM5nv+qU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\nAAAASUVORK5CYII=\n", "text/plain": ["<Figure size 1224x432 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["(stragey_2f.df['leverage']/stragey_2e.initial_balance).plot(figsize=(17,6),grid = True);"]}, {"cell_type": "code", "execution_count": null, "metadata": {"collapsed": true}, "outputs": [], "source": []}], "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": "3.6.3"}}, "nbformat": 4, "nbformat_minor": 2}