@run-out me neither but it could be a start and stimulate people to work together if there's a direct channel of communication. I haven't worked on anything open source related and I just want to learn more and help improve this project.

@run-out To have a channel to chat. I'm going off @Atul-Patel's message where he said he created a discord group so I was wondering if that is still going.

Is there a way of realtime communication created like discord? I think that would be useful.

I'm also interested in contributing. I still have lots to learn about backtrader itself but I'm learning as I'm going and I have some ideas to implement. What's the update on this?

I agree and I understand the logic. I can't replay but also, it's useful to use target.activate() and it can be used to do only in certain scenarios where it looks most likely the target would have been hit. for example if the price never even reached the stoploss but got to the entry and then the target, it's perfectly fine to use it. in case of a big outside bar which would hit all three entry, target and stoploss there would be doubt but it's more an exceptional case.

thanks again for your help Dasch

I would but I can't see how to add an attachment? if not possible, I'll add it to dropbox and then send it that way

@dasch much appreciate the quick response. I've tried it but it doesn't work. I haven't found any posts on the forum where it was mentioned either unfortunately.

for simple MA crossover strategy, when an order is created, if the next bar triggers the entry but simultaneously hits the target, it will only execute the entry and then exit the bar after that on the open. I can't figure it out. I've been trying different order types but I haven't been able to change the behavior. I've experimented with cheat on open but that didn't get me anywhere

class Order_testing(bt.Strategy):

    params = dict(
        pfast=10,  # period for the fast moving average
        pslow=30   # period for the slow moving average
    )

    
    def log(self, txt, dt=None):
        ''' Logging function for this strategy'''
        dt = dt or self.datas[0].datetime.datetime(0)
        print('%s, %s' % (dt.strftime("%Y-%m-%d %H:%M"), txt))

    def __init__(self):
        
        sma1 = bt.ind.SMA(period=self.p.pfast)  # fast moving average
        sma2 = bt.ind.SMA(period=self.p.pslow)  # slow moving average
        self.crossover = bt.ind.CrossOver(sma1, sma2)  # crossover signal

        # To keep track of pending orders and buy price/commission
        self.order = None
        self.buyprice = None
        self.buycomm = None

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            return

        # Check if an order has been completed
        # Attention: broker could reject order if not enough cash
        if order.status in [order.Completed]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.5f, Cost: %.f, Comm %.2f' %
                    (order.executed.price,
                     order.executed.value,
                     order.executed.comm))

                self.buyprice = order.executed.price
                self.buycomm = order.executed.comm
            else:  # Sell
                self.log('SELL EXECUTED, Price: %.5f, Cost: %.f, Comm %.2f' %
                         (order.executed.price,
                          order.executed.value,
                          order.executed.comm))

            self.bar_executed = len(self)

        elif order.status in [order.Canceled, order.Margin, order.Rejected]:
            self.log('Order Canceled/Margin/Rejected')

        self.order = None

    def notify_trade(self, trade):
        if not trade.isclosed:
            return

        self.log('OPERATION PROFIT, GROSS %.5f, NET %.5f' %
                 (trade.pnl, trade.pnlcomm))

    def next(self):

        # Check if an order is pending ... if yes, we cannot send a 2nd one
        if self.order:
            if self.order.status == 2 and len(self) == self.bar_order_submitted + 1:
                self.broker.cancel(self.order)
                self.log("order was cancelled")


        # Check if we are in the market
        if not self.position:

            # Not yet ... we MIGHT BUY if ...
            if self.crossover > 0:  # if fast crosses slow to the upside

                self.order = self.buy(exectype=bt.Order.StopLimit, price=self.data.high[0], transmit=False)
                self.StopLoss = self.sell(price=self.data.low[0],exectype=bt.Order.Stop, 
                                        transmit=False, size=self.order.size,parent=self.order)
                self.target = self.sell(price=(self.data.high[0]-self.data.low[0])*1.1+self.data.high[0], exectype=bt.Order.Limit, 
                                        transmit=True, size=self.order.size,  parent=self.order)

                self.bar_order_submitted = len(self)
                

                self.log('BUY CREATE, %.5f' % self.order.price)

                self.log('SL: %.5f, T: %.5f' %(self.StopLoss.price,self.target.price))
                          

if __name__ == '__main__':

    cerebro = bt.Cerebro()

    # Add a strategy
    cerebro.addstrategy(Order_testing)
    
    # Create a Data Feed
    data = bt.feeds.PandasData(dataname=df2020)
    one_minute = cerebro.resampledata(data, timeframe=bt.TimeFrame.Minutes, compression=1)
      
    
    # Print out the starting conditions
    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
    
    cerebro.run()
    
    # Print out the final result
    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())

log for reference. it should both execute the buy and sell order at 06:29

2020-08-12 06:28, BUY CREATE, 1.17185
2020-08-12 06:28, SL: 1.17171, T: 1.17200
2020-08-12 06:29, BUY EXECUTED, Price: 1.17185, Cost: 1, Comm 0.00
2020-08-12 06:30, SELL EXECUTED, Price: 1.17203, Cost: 1, Comm 0.00
2020-08-12 06:30, Order Canceled/Margin/Rejected
2020-08-12 06:30, OPERATION PROFIT, GROSS 0.00018, NET 0.00018

@dasch I just read the full thread. this seems to be an outstanding issue for a while. I hope it'll get fixed at some time. I really like the library and I want to use it for livetrading but I hope this problem doesn't jeopardize it. what do you now use for livetrading?

@dasch thanks for your response. yes as described in my previous post, I have used boundoff which fixes the bar issue. when I use rightedge=True or any of the other parameters. it doesn't fix my timebar issue however