我的想法是跟踪原油大宗商品价格,并根据油价走势进行ETF交易。
逻辑是:
我使用一个通用的SMA策略,但我不能让它使用石油的数据。基于图,它使用SMA 100作为ETF。
import backtrader as bt
import datetime
start = datetime.datetime(2018,1,1)
end = datetime.datetime(2021,5,1)
cerebro = bt.Cerebro()
cerebro.broker.set_cash(1000000)
etf = bt.feeds.YahooFinanceData(dataname='SUSW.L', fromdate=start,
todate=end)
oil = bt.feeds.YahooFinanceData(dataname='CL=F', fromdate=start,
todate=end)
cerebro.adddata(etf, name='etf')
cerebro.adddata(oil, name='oil')我使用data1来指油料数据。不知道我还能在代码中修改什么--我对backtrader相当陌生,可以查看文档。
class SmaCross(bt.Strategy):
def log(self, txt, dt=None):
''' Logging function for this strategy'''
dt = dt or self.datas[0].datetime.date(0)
print('%s, %s' % (dt.isoformat(), txt))
params = (
('sma_fast', 50),
('sma_slow', 100),
('macro', 100)
)
def __init__(self):
#sma1 = bt.ind.SMA(period= self.params.sma_fast) # fast moving average
#sma2 = bt.ind.SMA(period= self.params.sma_slow) # slow moving average
sma_macro = bt.ind.SMA(period= self.params.macro)
self.macro = self.data1.close
self.crossover_macro = bt.ind.CrossOver(self.macro, sma_macro)
def notify_order(self, order):
if order.status in [order.Submitted, order.Accepted]:
return
if order.status in [order.Completed]:
if order.isbuy():
self.log('BUY EXECUTED {}'.format(order.executed.price))
elif order.issell():
self.log('SELL EXECUTED {}'.format(order.executed.price))
def next(self):
if not self.position: # not in the market
if self.crossover_macro < 0:
self.buy()
elif self.crossover_macro > 0:
self.close()
cerebro.addstrategy(SmaCross, oil = 100)
cerebro.addsizer(bt.sizers.PercentSizer, percents=20)
cerebro.run()
cerebro.plot()发布于 2021-05-25 12:51:59
我想我在文档中找到了一些东西来帮助我解决这个问题:https://www.backtrader.com/blog/posts/2015-09-03-multidata-strategy/multidata-strategy/
https://stackoverflow.com/questions/67678974
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