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  1.9.70.122: Use opening price for submission check for Market orders when cheat-on-open is active Update pnlcomm on all operations and not just profit/loss locking Correct comment for fillalpha and add baralpha for candlestick opacity Merge PR 378 (doc typo) PR 378 (rollover for live feeds and tz use in datetime utilities) Use internal dict for data feed presence test and update trade observer
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  No. And this is because such a method could fetch orders which haven't been created by the client itself. When you create them you can keep a reference to the created orders.
• General Discussion

  Feedback, comments and anything in general

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  There were several patches to resampling, which probably had an impact on rightedge. Use this code as a template to achieve your desired effect. rd = cerebro.resampledata(data, timeframe=bt.TimeFrame.Minutes, compression=5) def _new_load(self): ret = self._old_load() if ret: dt = self.datetime.datetime(0) self.datetime[0] = bt.date2num(dt - datetime.timedelta(minutes=5)) return ret rd._old_load, rd._load = rd._load, _new_load.__get__(rd, rd.__class__)
• Indicators/Strategies/Analyzers
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  @backtrader said in Multi timeframe indicator plotted twice and in wrong timeframe: Use coupling: Docs - Mixing Timeframes in Indicators This functionality allows to calculate an indicator on a timeframe an automatically apply the indicator to another lower timeframe. I tried coupling the D1 indicator with the following code as suggested by the guide, but I still get the same error: ValueError: x and y must have same first dimension, but have shapes (54,) and (6,) class LevelsDisplay(bt.Strategy): params = dict(period=30) def __init__(self): # self.data1 = D1 Timeframe levels = Levels(self.data1, period=self.p.period) self.levels = levels() self.levels.plotinfo.subplot = False self.levels.plotinfo.plotmaster = self.data0 I do not see any other places in the Strategy where I could couple. The guide says See how the () is executed with no arguments (in the background a None is being supplied). The following is happening: pivotpoint.s1() is returning an internal LinesCoupler object which follows the rhythm of the larger scope. This coupler fills itself with the latest delivered value from the real s1 (starting with a default value of NaN) How does the Cerebro know which timeframe is the "the larger scope"? Does it analyze all the added data? BTW the Mixing Timeframes guide is where I started and it does not mention plotmaster at all. Maybe it could be useful for newbies if it was somehow mentioned. Just a suggestion.
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  Hi Admin, I would like to get an analyzer to get overall commission in the strategy. Tried to look into internet and manual but no luck, nearest one i find is the get_analysis but seems it does not provide such info. Not sure anyway i can do it?