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My plot is not showing pointers to where the trades occured and also my stoploss and take profits are not working, any help would be highly appereciated
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import numpy as np
import math
class TestStrategy(bt.Strategy):
params = (('risk', 0.4), #risk 10%
('stop_dist', 0.05)) #stoploss distance 5%pred = [] def log(self, txt, dt = None): dt = dt or self.datas[0].datetime.datetime(0) print('%s, %s' % (dt.isoformat(), txt)) def __init__(self,pred=[]): self.dataclose = self.data.close self.dataopen = self.datas[0].open self.datahigh = self.datas[0].high self.datalow = self.data.low.get(size=10) self.units = 1000 self.order = None #self.myslice = self.datas.open[-30:0] def prediction_out(self,predata): predata = np.array(predata) pred_data = predata.T pred_data = scaler.transform(pred_data) #print(pred_data) pre_data = np.array(pred_data) #print(pre_data.shape) pre_data = np.reshape(pre_data, (1,pre_data.shape[0], pre_data.shape[1])) #print(pre_data.shape) predict = model.predict(pre_data) predict = (predict * (maxim-minim)) + minim #print(predict) TestStrategy.pred.append(predict) return predict def next(self): cash = self.broker.get_cash() a = self.data.close.get(size= 15) #print(a) #(self.data.close.get(ago = -5,size= 10)) #self.log('high, %.2f' % self.datahigh[0]) #self.log('low, %.2f' % self.datalow[0]) #self.log('close, %.2f' % self.dataclose[0]) #self.log('this is it' % self.myslice) #data = self.dataclose.get(size = 10) #print('datasdfasdfa',data) if len(a) > 3: pred_data = [(self.data.open.get(size = 15)).tolist(), (self.data.high.get(size = 15)).tolist(), (self.data.low.get(size = 15)).tolist(), (self.data.close.get(size = 15)).tolist()] #print(pred_data) prediction = self.prediction_out(pred_data) if len(TestStrategy.pred) > 15: if (TestStrategy.pred[len(TestStrategy.pred)-15][0][0]-TestStrategy.pred[-1][0][0]) > 0.00100: buy_order = self.buy(size = self.units) buy_order.addinfo(name='MARKET_BUY') self.order = buy_order return buy_order elif (TestStrategy.pred[len(TestStrategy.pred)-15][0][0]-TestStrategy.pred[-1][0][0]) < -0.00100: self.log('Sell Create, %.2f' % self.dataclose[0]) stop_price = (self.data.close[0] * (1 - self.p.stop_dist)) short_order = self.sell(size = self.units) short_order.addinfo(name = 'MARKET_SELL') self.order = short_order else: pass def notify_trade(self, trade): date = self.data.datetime.datetime() if trade.isclosed: print('-'*32,' NOTIFY TRADE ','-'*32) print('{}, Avg Price: {}, Profit, Gross {}, Net {}'.format( date, trade.price, round(trade.pnl,2), round(trade.pnlcomm,2))) print('-'*80) # placing stoploss and takeproti if self.order.info['name'] == 'MARKET_BUY': sell_order = self.sell(size = self.units, exectype = bt.Order.Stop, price = (self.order.executed.price - 0.0002000)) sell_order.addinfo(name = 'MARKET_BUY_STOP') print('this is this working ') take_profit = self.sell(size = self.units, exectype = bt.Order.Limit, price = self.order.executed.price + 0.0002000) take_profit.addinfo(name = 'Take_Profit') elif self.order.info['name'] == 'MARKET_SELL' : buy_order = self.buy(size = self.units, exectype = bt.Order.Stop, price = (self.order.executed.price + 0.0001)) buy_order.addinfo(name = 'MARKET_SELL_STOP') take_profit = self.sell(size = self.units, exectype = bt.Order.Limit, price = self.order.executed.price - 0.0001000) take_profit.addinfo(name = 'Take_Profit') print('is this working') -
Here is the graph its producing
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try adding the observer manually with different bardist
cerebro.addobserver( bt.observers.BuySell, barplot=True, bardist=config.get("plot_bar_dist", 0.001)) # buy / sell arrows -
removed custom config code from example:
cerebro.addobserver( bt.observers.BuySell, barplot=True, bardist=0.001) # buy / sell arrows -
@dasch Thanks a million mate, It worked
