There is no problem here.. Or I am not understating it.

ofc itsn't a problem, it's just a condition.

Just read 1 min data and resample to Day TimeFrame

and what I'll achieve with resample? Indicator uses Daily TF but how cerebro will know to follow 1 min data to process Stop orders created based on Daily indicator signals ?

Hi,
so confused how to implement:

1. Strategy A uses indicator B for sell/buy orders.
2. Indicator B has 1 day timeframe data.
3. Strategy A should keep 1 minute timeframe for triggering Stop orders.

Already broke my head :)

Any ideas?

Hi,
I am facing problem when not all candles iterate using next().
Imported OHLCV data has 30 ticks, but once I call EMA in init(),
next() called only 1 time.
Which is correct for EMA with default settings, but I need next() called 30 times (per ticks quantity).
I need it to create custom indicator however, so for missing EMA results I can get something like 'NaN'.

import backtrader as bt

class Test(bt.Indicator):
    lines = ('dummy',)

    def __init__(self):
        self.ema = bt.indicators.EMA()
        
    def next(self):
        print(bt.num2date(self.data.datetime.dt()))


ohlcv_data = bt.feeds.GenericCSVData(dataname='test.csv', headers=False, volume=-1, openinterest=-1)
cerebro = bt.Cerebro()
cerebro.adddata(ohlcv_data)
cerebro.addindicator(Test)
cerebro.run()