General Discussion

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  IMO
  • Yiannis Petrou  

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  Backtrader DOES NOT CRASH on MOO orders - The USER CODE does
  • Ed Bartosh  

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  @backtrader thank you for the explanations. Yes, I was trying to use one symbol that's trading on pre-market to trigger prenext. As you can see it didn't help much, i.e. it crashed backtrader. What I was trying to ask (and apparently failed) is: if creating orders without price data supported by backtrader at all? If it's possible then it would be great if you explain how to do it without loading data as @ab_trader suggested. If it's not possible ... well I'll try to work around it using @ab_trader's suggestion.
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  How could I have both of the StopTrail and siginal Close() ?
  • jeff lee  

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  Cancel the 2nd order as soon as 1st order is issued or executed using self.cancel(2nd_order_variable).
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  Backtrader Setup for multiuser
  • Stuart Russell  

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  It is a library and although nothing prevents a broker implementation which can be called from different instances, no such thing exists. Unless you can provide more details, I can only guess you have to use standard methods and tools to work, such as git (directly or over a provider like GitHub, GitLab, ...), Slack/Teams, ...
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  What happens when a profit and sto order are filled in the same bar?
  • Rubén Briones  

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  Orders are executed in FIFO order simulating real broker actions. First issued will be first executed.
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  Backtesting UI
  • OmegaUI Trading  

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  Does this still work ? I am facing this https://pastebin.com/whb5g6eq
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  Difference between Backtrader and TradingView?
  • alexfr  

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  Thanks for your replies! I was investigating more and found an issue with my MACD strategy implementation on backtrader. By correcting it, I get almost the exact same trades as on TradingView. That's a good sign for me that I'm not doing bullshit with backtrader, yay.
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  Plot cerebro in a non-blocking way
  • Rubén Briones  

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  Hello @Rubén-Briones, if you are just trying to save the chart, here's the code: def saveplots(cerebro, numfigs=1, iplot=True, start=None, end=None, width=16, height=9, dpi=300, tight=True, use=None, file_path = '', **kwargs): from backtrader import plot if cerebro.p.oldsync: plotter = plot.Plot_OldSync(**kwargs) else: plotter = plot.Plot(**kwargs) figs = [] for stratlist in cerebro.runstrats: for si, strat in enumerate(stratlist): rfig = plotter.plot(strat, figid=si * 100, numfigs=numfigs, iplot=iplot, start=start, end=end, use=use) figs.append(rfig) # this blocks code execution # plotter.show() for fig in figs: for f in fig: f.savefig(file_path, bbox_inches='tight') return figs cerebro.plot(style = 'candlestick') saveplots(cerebro,file_path = 'savefig.png')
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  ZeroDivisionError not on RSI
  • jabbarabdullah  

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  @backtrader Hi Admin, Appreciate the prompt response. What do you mean by low variability of data? Thanks!
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  How to resample data to 1-minute bar data with left label like IB TWS?
  • G_will  

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  I think we came across a bug in backtrader/analyzer.py
  • Søren Houen  

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  Thanks! :)
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  How to achieve more realistic stop behaviour
  • A Former User  

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  Never mind, I did a little digging. We can achieve what I said in the previous post by using "stop orders". So, case is closed for now .. for me at least. :)
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  replay tick and get bar's value
  • Ray-0403  

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  You don't access values in __init__ because things are getting initialized. Read Docs - Platform Concepts Docs - Operating the Platform
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  Clarification about bracket orders
  • FaiqS  

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  @FaiqS said in Clarification about bracket orders: I think something is missing. Yes me too. You haven't read the documentation. @FaiqS said in Clarification about bracket orders: However, I don't see the limit for buy entry It's the default behavior, which you can change if you think your broker does it otherwise. Docs - Bracket Orders
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  Can Backtrader use an existing python algo generating daily buy/sell/hold signals across multiple equities and timespans?
  • run-out  

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  @backtrader Thank you for your answer. Backtrader is awesome! Handled the job really well. Cheers, run-out
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  Plot 2 stock prices in same axis in cerebro.plot() ???
  • boshng95  

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  If your first datas is data0, then when building your second and other datas you need to insert: data1.plotinfo.plotmaster = data0 So for example, if loading three datas from a dataframe, it would look like this: # Add Nasdaq qqq data line. data0 = bt.feeds.PandasData( dataname=pd.read_hdf("store.h5", "qqq").loc[date_start:date_end, :], name="qqq", plot=True, ) cerebro.adddata(data0) # Add S&P500 spy data line. data1 = bt.feeds.PandasData( dataname=pd.read_hdf("store.h5", "spy").loc[date_start:date_end, :], name="spy", plot=True, ) data1.plotinfo.plotmaster = data0 cerebro.adddata(data1) # Add S&P short SH data line. data2 = bt.feeds.PandasData( dataname=(pd.read_hdf("store.h5", "sh").loc[date_start:date_end, :]), name="sh", plot=True, ) data2.plotinfo.plotmaster = data0 cerebro.adddata(data2)
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  Bokeh Integration - Interactive Webbrowser Plotting
  • vbs  

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  In my experience visualisation thtough Bokeh is very promising, yet unusable. The plotnames are just too long, see my example: https://community.backtrader.com/topic/1769/plotnames-in-bokeh-too-long Anyone have some advice? Much appreciated.
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  execute next() step for each tick
  • Ray-0403  

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  @backtrader so if i want to access the newest tick data i should use datas[0].close, right? If i want to access the current bar's high and low value and the last closed bar's close price, i use datas[0].high and datas[0].low and datas[-1].close? It's confusing. Sorry, i am new to backtrader...
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  Anyone use backtrader to do live trading on Bitcoin exchange?
  crypto pairs trading • • CptanPanic  

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  Hello everyone, I am trying to test @Rodrigo-Brito 's repo on Binance live. https://github.com/rodrigo-brito/backtrader-binance-bot Here is the base code class for strategy. class StrategyBase(bt.Strategy): def __init__(self): self.order = None self.last_operation = "SELL" self.status = "DISCONNECTED" self.bar_executed = 0 self.buy_price_close = None self.soft_sell = False self.hard_sell = False self.log("Base strategy initialized") def reset_sell_indicators(self): self.soft_sell = False self.hard_sell = False self.buy_price_close = None def notify_data(self, data, status, *args, **kwargs): self.status = data._getstatusname(status) print(self.status) if status == data.LIVE: self.log("LIVE DATA - Ready to trade") def short(self): if self.last_operation == "SELL": return if config.ENV == config.DEVELOPMENT: self.log("Sell ordered: $%.2f" % self.data0.close[0]) return self.sell() cash, value = self.broker.get_wallet_balance(config.COIN_TARGET) amount = value*0.99 self.log("Sell ordered: $%.2f. Amount %.6f %s - $%.2f USDT" % (self.data0.close[0], amount, config.COIN_TARGET, value), True) return self.sell(size=amount) def long(self): if self.last_operation == "BUY": return self.log("Buy ordered: $%.2f" % self.data0.close[0], True) self.buy_price_close = self.data0.close[0] price = self.data0.close[0] if config.ENV == config.DEVELOPMENT: return self.buy() cash, value = self.broker.get_wallet_balance(config.COIN_REFER) amount = (value / price) * 0.99 # Workaround to avoid precision issues self.log("Buy ordered: $%.2f. Amount %.6f %s. Ballance $%.2f USDT" % (self.data0.close[0], amount, config.COIN_TARGET, value), True) return self.buy(size=amount) def notify_order(self, order): if order.status in [order.Submitted, order.Accepted]: # Buy/Sell order submitted/accepted to/by broker - Nothing to do self.log('ORDER ACCEPTED/SUBMITTED') self.order = order return if order.status in [order.Expired]: self.log('BUY EXPIRED', True) elif order.status in [order.Completed]: if order.isbuy(): self.last_operation = "BUY" self.log( 'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' % (order.executed.price, order.executed.value, order.executed.comm), True) if config.ENV == config.PRODUCTION: print(order.__dict__) print( 'BUY EXECUTED, Price: %.8f, Cost: %.8f, Comm %.8f' % (order.executed.price, order.executed.value, order.executed.comm), True) else: # Sell self.last_operation = "SELL" self.reset_sell_indicators() self.log('SELL EXECUTED, Price: %.8f, Cost: %.8f, Comm %.8f' % (order.executed.price, order.executed.value, order.executed.comm), True) print( 'SELL EXECUTED, Price: %.8f, Cost: %.8f, Comm %.8f' % (order.executed.price, order.executed.value, order.executed.comm), True) # Sentinel to None: new orders allowed elif order.status in [order.Canceled, order.Margin, order.Rejected]: self.log('Order Canceled/Margin/Rejected: Status %s - %s' % (order.Status[order.status], self.last_operation), True) self.order = None It works for a while then crashes. I couldn't figure out why. Also order.executed.XXX returns zero and gets unsupported operand type for backtrader/position.py What am i missing? Here is the output: ENV = production Starting Portfolio Value: 0.00045425 DELAYED LIVE {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.017, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffaced6b940>, 'ref': 1, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffae95f9438>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffaced6b940>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.02231764705882353, 'datetime': '2019-07-26T19:53:19.784Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.017, 'remaining': 0.0, 'average': 0.02231764705882353, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441732094', 'cost': 0.0003794, 'timestamp': 1564170799784, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00037940', 'orderId': 441732094, 'executedQty': '0.01700000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170799784, 'origQty': '0.01700000', 'symbol': 'ETHBTC', 'updateTime': 1564170799784, 'clientOrderId': 'Ma4x8A2WqBudmPuOtdVEPB', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.017, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffad7e77828>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.017, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffaced6b940>, 'ref': 1, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffae95f9438>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffaced6b940>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.02231764705882353, 'datetime': '2019-07-26T19:53:19.784Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.017, 'remaining': 0.0, 'average': 0.02231764705882353, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441732094', 'cost': 0.0003794, 'timestamp': 1564170799784, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00037940', 'orderId': 441732094, 'executedQty': '0.01700000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170799784, 'origQty': '0.01700000', 'symbol': 'ETHBTC', 'updateTime': 1564170799784, 'clientOrderId': 'Ma4x8A2WqBudmPuOtdVEPB', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.017, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffad7e77828>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True SELL EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True SELL EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.127, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef8a3c8>, 'ref': 3, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffacef46518>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef8a3c8>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.022296929133858265, 'datetime': '2019-07-26T19:55:23.200Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.127, 'remaining': 0.0, 'average': 0.022296929133858265, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441732983', 'cost': 0.00283171, 'timestamp': 1564170923200, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00283171', 'orderId': 441732983, 'executedQty': '0.12700000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170923200, 'origQty': '0.12700000', 'symbol': 'ETHBTC', 'updateTime': 1564170923200, 'clientOrderId': '2ZWJFmhksnBVwpql2Ur0C4', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.127, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffacef465f8>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.127, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef8a3c8>, 'ref': 3, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffacef46518>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef8a3c8>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.022296929133858265, 'datetime': '2019-07-26T19:55:23.200Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.127, 'remaining': 0.0, 'average': 0.022296929133858265, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441732983', 'cost': 0.00283171, 'timestamp': 1564170923200, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00283171', 'orderId': 441732983, 'executedQty': '0.12700000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170923200, 'origQty': '0.12700000', 'symbol': 'ETHBTC', 'updateTime': 1564170923200, 'clientOrderId': '2ZWJFmhksnBVwpql2Ur0C4', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.127, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffacef465f8>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True SELL EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True SELL EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.126, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef46d68>, 'ref': 5, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffacef464a8>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef46d68>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.022314285714285714, 'datetime': '2019-07-26T19:56:20.376Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.126, 'remaining': 0.0, 'average': 0.022314285714285714, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441733466', 'cost': 0.0028116, 'timestamp': 1564170980376, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00281160', 'orderId': 441733466, 'executedQty': '0.12600000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170980376, 'origQty': '0.12600000', 'symbol': 'ETHBTC', 'updateTime': 1564170980376, 'clientOrderId': 'TwXVKXWuXd1MRZ7Fcmjruk', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.126, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffacef46eb8>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True {'dteos': 737246.9999999999, 'exectype': 0, 'ordtype': 0, 'size': 0.126, 'position': 0, 'p': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef46d68>, 'ref': 5, 'status': 4, 'data': <ccxtbt.ccxtfeed.CCXTFeed object at 0x7ffad7e55f28>, 'executed': <backtrader.order.OrderData object at 0x7ffacef464a8>, 'params': <backtrader.metabase.AutoInfoClass_OrderBase_CCXTOrder object at 0x7ffacef46d68>, 'broker': None, '_active': True, 'ccxt_order': {'price': 0.022314285714285714, 'datetime': '2019-07-26T19:56:20.376Z', 'symbol': 'ETH/BTC', 'lastTradeTimestamp': None, 'amount': 0.126, 'remaining': 0.0, 'average': 0.022314285714285714, 'fee': None, 'side': 'buy', 'type': 'market', 'id': '441733466', 'cost': 0.0028116, 'timestamp': 1564170980376, 'status': 'closed', 'info': {'price': '0.00000000', 'icebergQty': '0.00000000', 'type': 'MARKET', 'cummulativeQuoteQty': '0.00281160', 'orderId': 441733466, 'executedQty': '0.12600000', 'side': 'BUY', 'isWorking': True, 'stopPrice': '0.00000000', 'time': 1564170980376, 'origQty': '0.12600000', 'symbol': 'ETHBTC', 'updateTime': 1564170980376, 'clientOrderId': 'TwXVKXWuXd1MRZ7Fcmjruk', 'timeInForce': 'GTC', 'status': 'FILLED'}, 'filled': 0.126, 'trades': None}, 'owner': <live_strategy.bt_bandtrader_v3_trend.Strategy object at 0x7ffad7e55cc0>, 'info': AutoOrderedDict(), 'created': <backtrader.order.OrderData object at 0x7ffacef46eb8>, '_limitoffset': 0.0, '_plimit': None, 'comminfo': None, 'triggered': False} BUY EXECUTED, Price: 0.00000000, Cost: 0.00000000, Comm 0.00000000 True Finished with error: unsupported operand type(s) for *: 'NoneType' and 'float' Traceback (most recent call last): File "/home/tunc/PycharmProjects/backtesting/main.py", line 109, in <module> except KeyboardInterrupt: File "/home/tunc/PycharmProjects/backtesting/main.py", line 94, in main File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/backtrader/cerebro.py", line 1127, in run runstrat = self.runstrategies(iterstrat) File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/backtrader/cerebro.py", line 1298, in runstrategies self._runnext(runstrats) File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/backtrader/cerebro.py", line 1623, in _runnext self._brokernotify() File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/backtrader/cerebro.py", line 1360, in _brokernotify self._broker.next() File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/ccxtbt/ccxtbroker.py", line 203, in next pos.update(o_order.size, o_order.price) File "/home/tunc/PycharmProjects/backtesting/venv/lib/python3.5/site-packages/backtrader/position.py", line 193, in update self.price = (self.price * oldsize + size * price) / self.size TypeError: unsupported operand type(s) for *: 'NoneType' and 'float'
• 

  A mistake when orders submitted
  • 曲奇  

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  @backtrader said in A mistake when orders submitted: I understand your line of reasoning, but it is the wrong reasoning. If you don't control the value on your side you are making a mistake. Thank you, but this part can cause some confusing problem in some cases. I just want to give a suggestion and maybe we can make it better.