@run-out said in How to skip the plot of some datas in a mutidata strategy:

data_0.plotinfo.plot = False

Problem has been solved, thanks very much!

@gretzteam No my error, get_value is returning the value of a datas, or if no datas provide then all the market value of the datas. Backtrader's blog is correct. See the comments here

@toinou222 said in Multi asset bracket orders:

self.log('%s: SELL STOP CREATED, at %.2f' % (d._name, d.close[0]*0.90))
o2 = self.buy(data=d, price=d.close[0]*0.90, exectype=bt.Order.Stop, transmit=False, parent=o1)
self.log('%s: SELL LIMIT CREATED, at %.2f' % (d._name, d.prediction[0]))

Your sell orders are actually buy orders.

@vladisld Thank you, this is exactly what I needed.

Hi @booboothefool @ab_trader

Any updates on this topic? I am trying to obtain simpler risk management except that when the current close price is greater than 5% of my entry price, I want to be able to amend my initial stop loss to breakeven stop.

I tried using the bracket example in backtrader and manually add orders when the TP1 is obtained. Then I place a new order. However, when the trade is closed, that newly issued breakeven stop is still dangling.

Is there any example that shows how I can implement bracket order with amdendent?

@rajesh
i figured out the issue and solved the issue, now i got new error, can some one look into it.

df = pd.read_csv(data_file, header=0) df["date"] = pd.to_datetime(df["date"]).dt.tz_convert(None) df.drop(df.iloc[ :, 0:1,], inplace = True, axis = 1) df.set_index("date", inplace = True) df.to_csv("datafile_clean.csv") # df.iloc[0:3, :] # df.to_csv('tcs4.csv') cdata = btfeeds.GenericCSVData( dataname="datafile_clean.csv", fromdate = dt.datetime(2020, 10,1), dtformat="%Y-%m-%d %H:%M:%S", datatime = 0 , open=1, high=2, low=3, close=4, volume=5, reverse = True ) if __name__ == '__main__': # Create a cerebro entity cerebro = bt.Cerebro() # Add a strategy cerebro.adddata(cdata) cerebro.addstrategy(macdStrategy) print('Starting Portfolio Value : %0.2f' % cerebro.broker.getvalue()) cerebro.run() # cerebro.plot() print('Final Portfolio Value : %0.2f' % cerebro.broker.getvalue()) TypeError: super(type, obj): obj must be an instance or subtype of type

Hi,

Your error is here:

data = bt.feeds.PandasData(dataname=dataframe)

You create a custom datareader but don't use it...
you should use:

data = CustomDataLoader(dataname=dataframe)

@vladisld thank you. Will explore further.

@rajesh

Please share some lines of your input csv file..

Problem solved. Simply modify block=True in plot.py:

def show(self): self.mpyplot.show(block=True)

@ab_trader That was exactly it!! My sell function was being triggered twice in some weird cases. Thank you so much for pointing me in the right direction

@floomi orders are issued for certain data feed. you can easily get signals on one data feed and issue buy/sell orders on another. data feeds are added to cerebro before the strategy is backtested, therefore you can not create a data feed inside the strategy.

@rajanprabu is timeframe informative too？ That means it will not influence any other part of the strategy?

@weibudda

This could help.

https://www.backtrader.com/docu/concepts/#getting-a-slice

@gleetche said in "Remove argument":

Can anyone explain why?

you may want to ask developers of your IDE. :)

@ab_trader it works, thank you !

I solved it with

fromdate=datetime.utcnow() - timedelta( minutes=30) data0=DataFactory(dataname="SPY",historical=False,timeframe=TIMEFRAME,compression=1,fromdate=fromdate,backfill_start=True,backfill=True)