我正在尝试通过一个名为bt的库对一个简单的策略进行回测。 Bt会为+:'slice'和'int'抛出TypeError:不支持的操作数类型。我似乎不知道为什么。代码和下面的完整错误。尽管可能是特定于库的,但我认为更好的程序员可以更好地理解该错误。
代码
#Format price data
csv_f = pd.read_csv('cryptodata.csv')
data = pd.DataFrame(csv_f)
data['date'] = pd.to_datetime(data['date'])
data.set_index('date', inplace = True)
df1 = data[:-1]
df1 = df1.dropna()
def momentum_strategy(data, mom1 = 15, mom2 = 30, mom3 = 60, selection = 5 , cost = 0.025):
#Momentum calc
mom_1 = data.pct_change(mom1)
mom_2 = data.pct_change(mom2)
mom_3 = data.pct_change(mom3)
mom_average = (mom_1 + mom_2 + mom_3) / 3
mom_average = mom_average.dropna()
#Weight
mom_average_rank = mom_average.rank(1, ascending = True)
mom_selection = selection > mom_average_rank
#create strategy
s = bt.Strategy('mom_s',[bt.algos.SelectWhere(mom_selection),
bt.algos.RunWeekly(),
bt.algos.SelectAll(),
bt.algos.WeighEqually(),
bt.algos.Rebalance()])
return bt.Backtest(s, data, commissions = lambda q, p: max(100, abs(q) * cost ))
#create the backtests
mom_1 = momentum_strategy(df1, 15, 30, 60, 5, 0.025)
#run backtests
res = bt.run(mom_1)
数据示例
df1
date BTC ETH ....
2016-10-28 670 11
...
2018-12-27 3700 122
mom_Selection
date BTC ETH ....
2017-04-25 True False
...
2018-12-27 True True
完全错误
TypeError Traceback (most recent call last)
<ipython-input-112-c6eb6fbb2dc4> in <module>()
1 #run backtests
----> 2 res = bt.run(mom_1)
/anaconda3/lib/python3.6/site-packages/bt/backtest.py in run(*backtests)
26 # run each backtest
27 for bkt in backtests:
---> 28 bkt.run()
29
30 return Result(*backtests)
/anaconda3/lib/python3.6/site-packages/bt/backtest.py in run(self)
199
200 if not self.strategy.bankrupt:
--> 201 self.strategy.run()
202 # need update after to save weights, values and such
203 self.strategy.update(dt)
/anaconda3/lib/python3.6/site-packages/bt/core.cpython-36m-darwin.so in bt.core.Strategy.run()
/anaconda3/lib/python3.6/site-packages/bt/core.cpython-36m-darwin.so in bt.core.AlgoStack.__call__()
/anaconda3/lib/python3.6/site-packages/bt/algos.py in __call__(self, target)
163 index_offset = 1
164
--> 165 date_to_compare = target.data.index[index + index_offset]
166 date_to_compare = pd.Timestamp(date_to_compare)
167
TypeError: unsupported operand type(s) for +: 'slice' and 'int'