AttributeError: 'NoneType' object has no attribute '_id'
AttributeError: 'NoneType' object has no attribute '_id'
我正在尝试制作一个交易机器人,并且正在使用 backtrader 来做同样的事情。我一直在尝试调试这个问题,但还没有找到解决方案。代码如下图
# from ast import Constant
from operator import imod
import os, sys
import config
from binance.client import Client
import backtrader
import pandas as pd
import datetime, time
client = Client(config.Binanceapikey, config.BinancesecretKey)
def GetHistoricalData(howLong):
# Calculate the timestamps for the binance api function
untilThisDate = datetime.datetime.now()
sinceThisDate = untilThisDate - datetime.timedelta(days = howLong)
# Execute the query from binance - timestamps must be converted to strings !
candle = client.get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1MINUTE, str(sinceThisDate), str(untilThisDate))
# Create a dataframe to label all the columns returned by binance so we work with them later.
df = pd.DataFrame(candle, columns=['dateTime', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol', 'takerBuyQuoteVol', 'ignore'])
# as timestamp is returned in ms, let us convert this back to proper timestamps.
df.dateTime = pd.to_datetime(df.dateTime, unit='ms').dt.strftime("%Y-%m-%d")
df.set_index('dateTime', inplace=True)
# Get rid of columns we do not need
df = df.drop(['closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol','takerBuyQuoteVol', 'ignore'], axis=1)
cerebro = backtrader.Cerebro()
cerebro.broker.set_cash(100000)
cerebro.adddata(GetHistoricalData(1))
print('Starting porfolio value: %.2f' %cerebro.broker.getvalue())
cerebro.run()
print('Final porfolio value: %.2f' %cerebro.broker.getvalue())
报错信息如下:
File "/TradingBot/tradingBot.py", line 40, in <module>
cerebro.adddata(GetHistoricalData(1))
File "/usr/local/lib/python3.8/site-packages/backtrader/cerebro.py", line 757, in adddata
data._id = next(self._dataid)
AttributeError: 'NoneType' object has no attribute '_id'
提前致谢!
您在 GetHistoricalData
中没有 return
,因此它将 None
发送到 adddata()
。也许您需要 return 数据框?如果没有说明您的意图。
# from ast import Constant
from operator import imod
import os, sys
import config
from binance.client import Client
import backtrader
import pandas as pd
import datetime, time
client = Client(config.Binanceapikey, config.BinancesecretKey)
def GetHistoricalData(howLong):
# Calculate the timestamps for the binance api function
untilThisDate = datetime.datetime.now()
sinceThisDate = untilThisDate - datetime.timedelta(days = howLong)
# Execute the query from binance - timestamps must be converted to strings !
candle = client.get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1MINUTE, str(sinceThisDate), str(untilThisDate))
# Create a dataframe to label all the columns returned by binance so we work with them later.
df = pd.DataFrame(candle, columns=['dateTime', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol', 'takerBuyQuoteVol', 'ignore'])
# as timestamp is returned in ms, let us convert this back to proper timestamps.
df.dateTime = pd.to_datetime(df.dateTime, unit='ms').dt.strftime("%Y-%m-%d")
df.set_index('dateTime', inplace=True)
# Get rid of columns we do not need
df = df.drop(['closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol','takerBuyQuoteVol', 'ignore'], axis=1)
#return the df
return df
cerebro = backtrader.Cerebro()
cerebro.broker.set_cash(100000)
cerebro.adddata(GetHistoricalData(1))
print('Starting porfolio value: %.2f' %cerebro.broker.getvalue())
cerebro.run()
print('Final porfolio value: %.2f' %cerebro.broker.getvalue())
我正在尝试制作一个交易机器人,并且正在使用 backtrader 来做同样的事情。我一直在尝试调试这个问题,但还没有找到解决方案。代码如下图
# from ast import Constant
from operator import imod
import os, sys
import config
from binance.client import Client
import backtrader
import pandas as pd
import datetime, time
client = Client(config.Binanceapikey, config.BinancesecretKey)
def GetHistoricalData(howLong):
# Calculate the timestamps for the binance api function
untilThisDate = datetime.datetime.now()
sinceThisDate = untilThisDate - datetime.timedelta(days = howLong)
# Execute the query from binance - timestamps must be converted to strings !
candle = client.get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1MINUTE, str(sinceThisDate), str(untilThisDate))
# Create a dataframe to label all the columns returned by binance so we work with them later.
df = pd.DataFrame(candle, columns=['dateTime', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol', 'takerBuyQuoteVol', 'ignore'])
# as timestamp is returned in ms, let us convert this back to proper timestamps.
df.dateTime = pd.to_datetime(df.dateTime, unit='ms').dt.strftime("%Y-%m-%d")
df.set_index('dateTime', inplace=True)
# Get rid of columns we do not need
df = df.drop(['closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol','takerBuyQuoteVol', 'ignore'], axis=1)
cerebro = backtrader.Cerebro()
cerebro.broker.set_cash(100000)
cerebro.adddata(GetHistoricalData(1))
print('Starting porfolio value: %.2f' %cerebro.broker.getvalue())
cerebro.run()
print('Final porfolio value: %.2f' %cerebro.broker.getvalue())
报错信息如下:
File "/TradingBot/tradingBot.py", line 40, in <module>
cerebro.adddata(GetHistoricalData(1))
File "/usr/local/lib/python3.8/site-packages/backtrader/cerebro.py", line 757, in adddata
data._id = next(self._dataid)
AttributeError: 'NoneType' object has no attribute '_id'
提前致谢!
您在 GetHistoricalData
中没有 return
,因此它将 None
发送到 adddata()
。也许您需要 return 数据框?如果没有说明您的意图。
# from ast import Constant
from operator import imod
import os, sys
import config
from binance.client import Client
import backtrader
import pandas as pd
import datetime, time
client = Client(config.Binanceapikey, config.BinancesecretKey)
def GetHistoricalData(howLong):
# Calculate the timestamps for the binance api function
untilThisDate = datetime.datetime.now()
sinceThisDate = untilThisDate - datetime.timedelta(days = howLong)
# Execute the query from binance - timestamps must be converted to strings !
candle = client.get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1MINUTE, str(sinceThisDate), str(untilThisDate))
# Create a dataframe to label all the columns returned by binance so we work with them later.
df = pd.DataFrame(candle, columns=['dateTime', 'open', 'high', 'low', 'close', 'volume', 'closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol', 'takerBuyQuoteVol', 'ignore'])
# as timestamp is returned in ms, let us convert this back to proper timestamps.
df.dateTime = pd.to_datetime(df.dateTime, unit='ms').dt.strftime("%Y-%m-%d")
df.set_index('dateTime', inplace=True)
# Get rid of columns we do not need
df = df.drop(['closeTime', 'quoteAssetVolume', 'numberOfTrades', 'takerBuyBaseVol','takerBuyQuoteVol', 'ignore'], axis=1)
#return the df
return df
cerebro = backtrader.Cerebro()
cerebro.broker.set_cash(100000)
cerebro.adddata(GetHistoricalData(1))
print('Starting porfolio value: %.2f' %cerebro.broker.getvalue())
cerebro.run()
print('Final porfolio value: %.2f' %cerebro.broker.getvalue())