{"id":1073373,"date":"2025-01-08T11:24:59","date_gmt":"2025-01-08T03:24:59","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1073373.html"},"modified":"2025-01-08T11:25:02","modified_gmt":"2025-01-08T03:25:02","slug":"%e7%94%a8python%e5%a6%82%e4%bd%95%e5%af%b9%e8%82%a1%e7%a5%a8%e8%bf%9b%e8%a1%8c%e5%9b%9e%e6%b5%8b-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1073373.html","title":{"rendered":"\u7528Python\u5982\u4f55\u5bf9\u80a1\u7968\u8fdb\u884c\u56de\u6d4b"},"content":{"rendered":"

\"\u7528Python\u5982\u4f55\u5bf9\u80a1\u7968\u8fdb\u884c\u56de\u6d4b\"<\/p>\n

\u7528Python\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528Pandas\u3001Backtrader\u3001Zipline\u7b49\u5e93\u3002\u4eca\u5929\u6211\u4eec\u91cd\u70b9\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Backtrader\u5e93\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u3001Backtrader\u5e93\u975e\u5e38\u5f3a\u5927\u4e14\u7075\u6d3b\uff0c\u9002\u5408\u5404\u79cd\u590d\u6742\u7684\u7b56\u7565\u6d4b\u8bd5\u3002<\/strong><\/p>\n<\/p>\n

\u5b89\u88c5Backtrader\u5e93\uff1a<\/strong> \u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5Backtrader\u5e93\uff1a<\/p>\n<\/p>\n

pip install backtrader<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e00\u3001\u73af\u5883\u8bbe\u7f6e\u4e0e\u6570\u636e\u51c6\u5907<\/strong><\/p>\n<\/p>\n
\u5728\u4f7f\u7528Backtrader\u8fdb\u884c\u56de\u6d4b\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u51c6\u5907\u597d\u5386\u53f2\u6570\u636e\u3002\u901a\u5e38\uff0c\u80a1\u7968\u7684\u5386\u53f2\u6570\u636e\u53ef\u4ee5\u4ece\u5404\u79cd\u91d1\u878d\u6570\u636eAPI\u83b7\u53d6\uff0c\u6bd4\u5982Yahoo Finance\u3001Alpha Vantage\u7b49\u3002\u8fd9\u91cc\u6211\u4eec\u4ee5Yahoo Finance\u4e3a\u4f8b\uff0c\u901a\u8fc7pandas_datareader\u5e93\u83b7\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
import pandas_datareader as pdr<\/p>\n
import datetime<\/p>\n
\u8bbe\u7f6e\u5f00\u59cb\u548c\u7ed3\u675f\u65e5\u671f<\/strong><\/h2>\n
start = datetime.datetime(2020, 1, 1)<\/p>\n
end = datetime.datetime(2021, 1, 1)<\/p>\n
\u83b7\u53d6\u80a1\u7968\u6570\u636e\uff0c\u4f8b\u5982\u82f9\u679c\u516c\u53f8(AAPL)<\/strong><\/h2>\n
data = pdr.get_data_yahoo('AAPL', start, end)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u5b9a\u4e49\u7b56\u7565<\/strong><\/p>\n<\/p>\n
\u5728Backtrader\u4e2d\uff0c\u7b56\u7565\u662f\u901a\u8fc7\u7ee7\u627fbt.Strategy<\/code>\u7c7b\u5e76\u5b9e\u73b0\u5176\u65b9\u6cd5\u6765\u5b9a\u4e49\u7684\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u79fb\u52a8\u5e73\u5747\u4ea4\u53c9\u7b56\u7565\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
import backtrader as bt<\/p>\n
class SmaCross(bt.Strategy):<\/p>\n
    params = (('pfast', 10), ('pslow', 30),)<\/p>\n
    def __init__(self):<\/p>\n
        sma1 = bt.ind.SMA(period=self.params.pfast)<\/p>\n
        sma2 = bt.ind.SMA(period=self.params.pslow)<\/p>\n
        self.crossover = bt.ind.CrossOver(sma1, sma2)<\/p>\n
    def next(self):<\/p>\n
        if self.crossover > 0:  # Golden cross<\/p>\n
            self.buy()<\/p>\n
        elif self.crossover < 0:  # Death cross<\/p>\n
            self.sell()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u8fd0\u884c\u56de\u6d4b<\/strong><\/p>\n<\/p>\n
\u521b\u5efaCerebro\u5f15\u64ce\uff0c\u52a0\u8f7d\u6570\u636e\u548c\u7b56\u7565\uff0c\u5e76\u8fd0\u884c\u56de\u6d4b\u3002<\/p>\n<\/p>\n
# \u521b\u5efaCerebro\u5f15\u64ce<\/p>\n
cerebro = bt.Cerebro()<\/p>\n
\u5c06\u6570\u636e\u52a0\u8f7d\u5230Cerebro\u5f15\u64ce\u4e2d<\/strong><\/h2>\n
data = bt.feeds.PandasData(dataname=data)<\/p>\n
cerebro.adddata(data)<\/p>\n
\u6dfb\u52a0\u7b56\u7565\u5230Cerebro\u5f15\u64ce<\/strong><\/h2>\n
cerebro.addstrategy(SmaCross)<\/p>\n
\u8bbe\u7f6e\u521d\u59cb\u8d44\u91d1<\/strong><\/h2>\n
cerebro.broker.set_cash(100000.0)<\/p>\n
\u8bbe\u7f6e\u4ea4\u6613\u8d39\u7528<\/strong><\/h2>\n
cerebro.broker.setcommission(commission=0.001)<\/p>\n
\u6253\u5370\u521d\u59cb\u8d44\u91d1<\/strong><\/h2>\n
print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())<\/p>\n
\u8fd0\u884c\u56de\u6d4b<\/strong><\/h2>\n
cerebro.run()<\/p>\n
\u6253\u5370\u6700\u7ec8\u8d44\u91d1<\/strong><\/h2>\n
print('Ending Portfolio Value: %.2f' % cerebro.broker.getvalue())<\/p>\n
\u7ed8\u5236\u7ed3\u679c<\/strong><\/h2>\n
cerebro.plot()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8fdb\u9636\u7b56\u7565\u8bbe\u7f6e<\/strong><\/p>\n<\/p>\n
\u5728\u4e0a\u8ff0\u7b80\u5355\u7b56\u7565\u7684\u57fa\u7840\u4e0a\uff0c\u53ef\u4ee5\u52a0\u5165\u66f4\u591a\u590d\u6742\u7684\u56e0\u7d20\uff0c\u4f8b\u5982\u98ce\u9669\u7ba1\u7406\u3001\u4ea4\u6613\u8d39\u7528\u3001\u6ed1\u70b9\u7b49\u3002<\/p>\n<\/p>\n
1. \u98ce\u9669\u7ba1\u7406<\/strong><\/p>\n<\/p>\n
\u98ce\u9669\u7ba1\u7406\u662f\u56de\u6d4b\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u90e8\u5206\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u6b62\u635f\u548c\u6b62\u76c8\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
class RiskManagement(bt.Strategy):<\/p>\n
    params = (('stop_loss', 0.02), ('take_profit', 0.05),)<\/p>\n
    def __init__(self):<\/p>\n
        self.order = None<\/p>\n
    def next(self):<\/p>\n
        if self.order:<\/p>\n
            return<\/p>\n
        if not self.position:<\/p>\n
            if self.buy_signal:<\/p>\n
                self.order = self.buy()<\/p>\n
        else:<\/p>\n
            if self.sell_signal or self.stop_loss_hit or self.take_profit_hit:<\/p>\n
                self.order = self.sell()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4ea4\u6613\u8d39\u7528\u548c\u6ed1\u70b9<\/strong><\/p>\n<\/p>\n
\u5728\u771f\u5b9e\u5e02\u573a\u4e2d\uff0c\u4ea4\u6613\u8d39\u7528\u548c\u6ed1\u70b9\u4f1a\u5f71\u54cd\u7b56\u7565\u7684\u5b9e\u9645\u6536\u76ca\uff0c\u56e0\u6b64\u5728\u56de\u6d4b\u65f6\u4e5f\u9700\u8981\u8003\u8651\u8fd9\u4e9b\u56e0\u7d20\u3002<\/p>\n<\/p>\n
cerebro.broker.setcommission(commission=0.001)<\/p>\n
cerebro.broker.set_slippage_perc(0.001)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u591a\u8d44\u4ea7\u7ec4\u5408<\/strong><\/p>\n<\/p>\n
Backtrader\u8fd8\u652f\u6301\u591a\u8d44\u4ea7\u7ec4\u5408\u7684\u56de\u6d4b\uff0c\u53ef\u4ee5\u540c\u65f6\u52a0\u8f7d\u591a\u4e2a\u6570\u636e\u96c6\u5e76\u5728\u7b56\u7565\u4e2d\u8fdb\u884c\u4ea4\u6613\u3002<\/p>\n<\/p>\n
data1 = pdr.get_data_yahoo('AAPL', start, end)<\/p>\n
data2 = pdr.get_data_yahoo('MSFT', start, end)<\/p>\n
data1 = bt.feeds.PandasData(dataname=data1)<\/p>\n
data2 = bt.feeds.PandasData(dataname=data2)<\/p>\n
cerebro.adddata(data1)<\/p>\n
cerebro.adddata(data2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u7ed3\u679c\u5206\u6790<\/strong><\/p>\n<\/p>\n
\u56de\u6d4b\u5b8c\u6210\u540e\uff0c\u9700\u8981\u5bf9\u7ed3\u679c\u8fdb\u884c\u8be6\u7ec6\u5206\u6790\uff0c\u4ee5\u8bc4\u4f30\u7b56\u7565\u7684\u8868\u73b0\u3002Backtrader\u63d0\u4f9b\u4e86\u591a\u79cd\u5185\u7f6e\u5206\u6790\u5de5\u5177\uff0c\u4e5f\u53ef\u4ee5\u5c06\u7ed3\u679c\u5bfc\u51fa\u5230\u5176\u4ed6\u5de5\u5177\u4e2d\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n
1. \u7ee9\u6548\u6307\u6807<\/strong><\/p>\n<\/p>\n
\u901a\u8fc7Backtrader\u5185\u7f6e\u7684\u5206\u6790\u5de5\u5177\uff0c\u53ef\u4ee5\u8ba1\u7b97\u5404\u79cd\u7ee9\u6548\u6307\u6807\uff0c\u5982\u5e74\u5316\u6536\u76ca\u7387\u3001\u6700\u5927\u56de\u64a4\u3001\u590f\u666e\u6bd4\u7387\u7b49\u3002<\/p>\n<\/p>\n
from backtrader.analyzers import SharpeRatio, DrawDown, AnnualReturn<\/p>\n
cerebro.addanalyzer(SharpeRatio, _name='sharpe')<\/p>\n
cerebro.addanalyzer(DrawDown, _name='drawdown')<\/p>\n
cerebro.addanalyzer(AnnualReturn, _name='annual')<\/p>\n
result = cerebro.run()<\/p>\n
print('Sharpe Ratio:', result[0].analyzers.sharpe.get_analysis())<\/p>\n
print('DrawDown:', result[0].analyzers.drawdown.get_analysis())<\/p>\n
print('Annual Return:', result[0].analyzers.annual.get_analysis())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u53ef\u89c6\u5316\u7ed3\u679c<\/strong><\/p>\n<\/p>\n
\u9664\u4e86Backtrader\u5185\u7f6e\u7684\u7ed8\u56fe\u529f\u80fd\u5916\uff0c\u8fd8\u53ef\u4ee5\u5c06\u7ed3\u679c\u5bfc\u51fa\u5230\u5176\u4ed6\u5de5\u5177\uff08\u5982Matplotlib\u3001Plotly\uff09\u8fdb\u884c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u83b7\u53d6\u7b56\u7565\u7684\u8d44\u91d1\u66f2\u7ebf<\/strong><\/h2>\n
portfolio_values = cerebro.broker.get_value_series()<\/p>\n
plt.plot(portfolio_values)<\/p>\n
plt.xlabel('Time')<\/p>\n
plt.ylabel('Portfolio Value')<\/p>\n
plt.title('Portfolio Value Over Time')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u5bfc\u51fa\u4ea4\u6613\u8bb0\u5f55<\/strong><\/p>\n<\/p>\n
\u5c06\u4ea4\u6613\u8bb0\u5f55\u5bfc\u51fa\u5230CSV\u6587\u4ef6\uff0c\u65b9\u4fbf\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
trades = cerebro.runstrats[0][0].analyzers.trades.get_analysis()<\/p>\n
df = pd.DataFrame(trades)<\/p>\n
df.to_csv('trades.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b9e\u9645\u5e94\u7528<\/strong><\/p>\n<\/p>\n
\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u56de\u6d4b\u7b56\u7565\u53ef\u4ee5\u5e2e\u52a9\u6295\u8d44\u8005\u5728\u6295\u5165\u771f\u91d1\u767d\u94f6\u4e4b\u524d\uff0c\u4e86\u89e3\u7b56\u7565\u7684\u6f5c\u5728\u8868\u73b0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
1. \u7b56\u7565\u4f18\u5316<\/strong><\/p>\n<\/p>\n
\u901a\u8fc7\u53c2\u6570\u4f18\u5316\uff0c\u627e\u5230\u7b56\u7565\u7684\u6700\u4f73\u53c2\u6570\u7ec4\u5408\u3002<\/p>\n<\/p>\n
cerebro.optstrategy(SmaCross, pfast=range(5, 15), pslow=range(20, 50))<\/p>\n
cerebro.run()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5b9e\u65f6\u4ea4\u6613<\/strong><\/p>\n<\/p>\n
Backtrader\u652f\u6301\u5b9e\u65f6\u6570\u636e\u6d41\uff0c\u53ef\u4ee5\u8fde\u63a5\u5230\u4ea4\u6613\u5e73\u53f0\u8fdb\u884c\u5b9e\u65f6\u4ea4\u6613\u3002<\/p>\n<\/p>\n
from backtrader import Cerebro<\/p>\n
import alpaca_backtrader_api<\/p>\n
cerebro = Cerebro()<\/p>\n
store = alpaca_backtrader_api.AlpacaStore(<\/p>\n
    key_id='your_key_id', <\/p>\n
    secret_key='your_secret_key', <\/p>\n
    paper=True<\/p>\n
)<\/p>\n
DataFactory = store.getdata<\/p>\n
data = DataFactory(dataname='AAPL')<\/p>\n
cerebro.adddata(data)<\/p>\n
cerebro.run()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u81ea\u52a8\u5316\u4ea4\u6613<\/strong><\/p>\n<\/p>\n
\u901a\u8fc7\u8fde\u63a5\u5230\u4ea4\u6613API\uff0c\u81ea\u52a8\u6267\u884c\u7b56\u7565\u751f\u6210\u7684\u4ea4\u6613\u4fe1\u53f7\u3002<\/p>\n<\/p>\n
from alpaca_trade_api.rest import REST, TimeFrame<\/p>\n
api = REST('your_key_id', 'your_secret_key', base_url='https:\/\/paper-api.alpaca.markets')<\/p>\n
api.submit_order(<\/p>\n
    symbol='AAPL',<\/p>\n
    qty=1,<\/p>\n
    side='buy',<\/p>\n
    type='market',<\/p>\n
    time_in_force='gtc'<\/p>\n
)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u603b\u7ed3<\/strong><\/p>\n<\/p>\n
Python\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u548c\u5e93\u6765\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u3002\u901a\u8fc7Backtrader\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9a\u4e49\u3001\u56de\u6d4b\u548c\u4f18\u5316\u5404\u79cd\u4ea4\u6613\u7b56\u7565\u3002\u901a\u8fc7\u8be6\u7ec6\u7684\u7ed3\u679c\u5206\u6790\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u8bc4\u4f30\u7b56\u7565\u7684\u8868\u73b0\uff0c\u4e3a\u5b9e\u9645\u6295\u8d44\u63d0\u4f9b\u6709\u529b\u7684\u652f\u6301\u3002\u65e0\u8bba\u662f\u65b0\u624b\u8fd8\u662f\u4e13\u4e1a\u6295\u8d44\u8005\uff0c\u90fd\u53ef\u4ee5\u901a\u8fc7\u56de\u6d4b\u63d0\u5347\u81ea\u5df1\u7684\u6295\u8d44\u6c34\u5e73\uff0c\u51cf\u5c11\u6295\u8d44\u98ce\u9669\uff0c\u63d0\u9ad8\u6536\u76ca\u7387\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u80a1\u7968\u56de\u6d4b\u5de5\u5177\uff1f<\/strong>
\u5728\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u81f3\u5173\u91cd\u8981\u3002Python\u4e2d\u6709\u8bb8\u591a\u5e93\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u8fdb\u884c\u56de\u6d4b\uff0c\u6bd4\u5982Backtrader\u3001Zipline\u548cPyAlgoTrade\u7b49\u3002\u8fd9\u4e9b\u5de5\u5177\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u6bd4\u5982\u7b56\u7565\u4f18\u5316\u3001\u6570\u636e\u5904\u7406\u548c\u7ed3\u679c\u53ef\u89c6\u5316\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u8eab\u9700\u6c42\u9009\u62e9\u6700\u9002\u5408\u7684\u5e93\u3002\u6b64\u5916\uff0c\u7528\u6237\u8fd8\u9700\u8003\u8651\u793e\u533a\u652f\u6301\u548c\u6587\u6863\u7684\u5b8c\u6574\u6027\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u89e3\u51b3\u53ef\u80fd\u9047\u5230\u7684\u95ee\u9898\u3002<\/p>\n
\u5728\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u6570\u636e\uff1f<\/strong>
\u80a1\u7968\u56de\u6d4b\u7684\u51c6\u786e\u6027\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4f9d\u8d56\u4e8e\u6570\u636e\u7684\u8d28\u91cf\u3002\u7528\u6237\u5e94\u786e\u4fdd\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u5386\u53f2\u6570\u636e\uff0c\u5305\u62ec\u5f00\u76d8\u4ef7\u3001\u6536\u76d8\u4ef7\u3001\u6700\u9ad8\u4ef7\u3001\u6700\u4f4e\u4ef7\u548c\u6210\u4ea4\u91cf\u7b49\u3002\u6b64\u5916\uff0c\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u65f6\u95f4\u8303\u56f4\u4e5f\u975e\u5e38\u91cd\u8981\uff0c\u7528\u6237\u5e94\u9009\u62e9\u8db3\u591f\u957f\u7684\u65f6\u95f4\u6bb5\u8fdb\u884c\u56de\u6d4b\uff0c\u4ee5\u4fbf\u83b7\u53d6\u66f4\u5177\u4ee3\u8868\u6027\u7684\u7ed3\u679c\u3002\u8003\u8651\u5230\u5e02\u573a\u7684\u6ce2\u52a8\u6027\uff0c\u6570\u636e\u7684\u9891\u7387\uff08\u5982\u65e5\u7ebf\u3001\u5206\u949f\u7ebf\uff09\u4e5f\u5e94\u4e0e\u56de\u6d4b\u7b56\u7565\u76f8\u5339\u914d\u3002<\/p>\n
\u5982\u4f55\u8bc4\u4f30\u56de\u6d4b\u7ed3\u679c\u7684\u6709\u6548\u6027\uff1f<\/strong>
\u8bc4\u4f30\u56de\u6d4b\u7ed3\u679c\u65f6\uff0c\u7528\u6237\u53ef\u4ee5\u5173\u6ce8\u591a\u4e2a\u6307\u6807\uff0c\u4f8b\u5982\u5e74\u5316\u6536\u76ca\u7387\u3001\u590f\u666e\u6bd4\u7387\u3001\u6700\u5927\u56de\u64a4\u548c\u80dc\u7387\u7b49\u3002\u8fd9\u4e9b\u6307\u6807\u80fd\u591f\u5e2e\u52a9\u7528\u6237\u4e86\u89e3\u7b56\u7565\u7684\u76c8\u5229\u80fd\u529b\u548c\u98ce\u9669\u6c34\u5e73\u3002\u6b64\u5916\uff0c\u7528\u6237\u8fd8\u5e94\u8fdb\u884c\u591a\u6b21\u56de\u6d4b\u4ee5\u786e\u4fdd\u7ed3\u679c\u7684\u7a33\u5b9a\u6027\uff0c\u907f\u514d\u56e0\u5076\u7136\u6027\u5bfc\u81f4\u7684\u9519\u8bef\u5224\u65ad\u3002\u4e3a\u4e86\u66f4\u597d\u5730\u8bc4\u4f30\u7b56\u7565\u7684\u666e\u904d\u9002\u7528\u6027\uff0c\u5efa\u8bae\u5728\u4e0d\u540c\u7684\u5e02\u573a\u73af\u5883\u548c\u65f6\u95f4\u6bb5\u8fdb\u884c\u56de\u6d4b\uff0c\u786e\u4fdd\u7b56\u7565\u80fd\u591f\u5728\u591a\u79cd\u60c5\u51b5\u4e0b\u8868\u73b0\u826f\u597d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u8fdb\u884c\u80a1\u7968\u56de\u6d4b\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528Pandas\u3001Backtrader\u3001Zipline\u7b49\u5e93\u3002\u4eca […]","protected":false},"author":3,"featured_media":1073378,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1073373"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1073373"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1073373\/revisions"}],"predecessor-version":[{"id":1073381,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1073373\/revisions\/1073381"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1073378"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1073373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1073373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1073373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}