Cerebro Stop Error

hyperex

Hi,

My cerebro run did not complete and exited with the following error.

The error message does not help much to troubleshoot the issue.

Anyone has encounter this before?

Thanks.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
 in 
      5 cerebro.addstrategy(StrategyA)
----> 6 cerebro.run(exactbars=200)

~/Library/Python/3.7/lib/python/site-packages/backtrader/cerebro.py in run(self, **kwargs)
   1125             # let's skip process "spawning"
   1126             for iterstrat in iterstrats:
-> 1127                 runstrat = self.runstrategies(iterstrat)
   1128                 self.runstrats.append(runstrat)
   1129                 if self._dooptimize:

~/Library/Python/3.7/lib/python/site-packages/backtrader/cerebro.py in runstrategies(self, iterstrat, predata)
   1299 
   1300             for strat in runstrats:
-> 1301                 strat._stop()
   1302 
   1303         self._broker.stop()

~/Library/Python/3.7/lib/python/site-packages/backtrader/strategy.py in _stop(self)
    481 
    482     def _stop(self):
--> 483         self.stop()
    484 
    485         for analyzer in itertools.chain(self.analyzers, self._slave_analyzers):

TypeError: 'SellOrder' object is not callable

run-out

@hyperex said in Cerebro Stop Error:

acktrader/strategy.py in _stop(self)

Sure. Could you include all of the code from your strategy class?

hyperex

Thanks.
I found the issue. I was assigning the stop order from bracket order into self.stop.

 self.order, self.stop, self.limit = self.buy_bracket(size=self.p.order_size,
                                                                               exectype=bt.Order.Limit,
                                                                               price=self.data.high[-1] + self.p.order_lvl_buffer,
                                                                               stopprice=self.p.stopprice,
                                                                               limitprice=self.p.limitprice)