Overall Statistics |
Total Trades 177 Average Win 0.12% Average Loss -0.12% Compounding Annual Return 1.781% Drawdown 3.000% Expectancy 0.304 Net Profit 2.690% Sharpe Ratio 0.497 Probabilistic Sharpe Ratio 23.025% Loss Rate 34% Win Rate 66% Profit-Loss Ratio 0.98 Alpha 0.002 Beta 0.391 Annual Standard Deviation 0.025 Annual Variance 0.001 Information Ratio -0.406 Tracking Error 0.037 Treynor Ratio 0.032 Total Fees $0.00 Estimated Strategy Capacity $890000.00 Lowest Capacity Asset EURUSD 8G |
# region imports from AlgorithmImports import * # endregion class Strategy(QCAlgorithm): def Initialize(self): self.Pair_1 = "EURUSD" self.holdingDays = 1 self.SetStartDate (2020, 1, 1) self.SetEndDate(2021,7,1) self.SetCash(10000) self.SetBrokerageModel(BrokerageName.OandaBrokerage) self.EURSEK = self.AddForex(self.Pair_1, Resolution.Daily, Market.Oanda) self.symbols = [self.Pair_1] self.prevPrices = { symbol : RollingWindow[QuoteBar](7) for symbol in self.symbols } self.ticketPair1 = None self.TrailingSL = 0.99 self.stop_loss_ticket = None self.stopLossOrderFillTime = datetime.min self.highestPair1Price = 0 def OnData(self,data): self.Plot("PAIR1", "currprice", self.Securities[self.Pair_1].Price) self.quantity_1 = self.CalculateOrderQuantity(self.Pair_1, 1) for symbol in self.symbols: if data.ContainsKey(symbol): self.prevPrices[symbol].Add( data[symbol] ) if not all([ window.IsReady for window in self.prevPrices.values() ]): return Pair1_window = self.prevPrices[self.Pair_1] Pair1_1D = Pair1_window[1].Close Pair1_0D = Pair1_window[0].Close if self.ticketPair1 is not None and self.UtcTime < self.ticketPair1.Time + timedelta(days=(self.holdingDays)): return # place orders: 1 without SL and one with Trailing SL if self.ticketPair1 is None and self.stop_loss_ticket is None and self.Securities[self.Pair_1].Exchange.ExchangeOpen is True and Pair1_0D > Pair1_1D : self.ticketPair1 = self.MarketOrder(self.Pair_1, 1000 ) stop_price = self.ticketPair1.AverageFillPrice * self.TrailingSL self.stop_loss_ticket = self.StopMarketOrder(self.Pair_1, 3000, stop_price) self.price = self.ticketPair1.AverageFillPrice #check if Pair1 Price is higher than the latest highest Price if self.Securities[self.Pair_1].Close > self.highestPair1Price and self.stop_loss_ticket is not None: # if it is: save the new high to self.highestPair1Price and update stop loss self.highestPair1Price = self.Securities[self.Pair_1].Close updateFields = UpdateOrderFields() updateFields.StopPrice = self.highestPair1Price * self.TrailingSL self.stop_loss_ticket.Update(updateFields) self.Plot("PAIR1", "high", self.highestPair1Price) self.Plot("PAIR1", "stop", updateFields.StopPrice) # after 4 days close ONLY the 1st order (self.TicketPair1) if self.ticketPair1 is not None and self.Securities[self.Pair_1].Exchange.ExchangeOpen is True and self.UtcTime >= self.ticketPair1.Time + timedelta(days = 4): self.MarketOrder(self.ticketPair1.Symbol, -self.ticketPair1.Quantity) self.ticketPair1 = None # if only SL position is active and yesterday price was higher than today: buy 1 position without SL if self.stop_loss_ticket is not None and self.ticketPair1 is None and self.Securities[self.Pair_1].Exchange.ExchangeOpen is True and Pair1_0D > Pair1_1D : self.ticketPair1 = self.MarketOrder(self.Pair_1, 1000 ) self.price = self.ticketPair1.AverageFillPrice def OnOrderEvent(self, orderEvent): if orderEvent.Status != OrderStatus.Filled: return if self.stop_loss_ticket is not None and self.stop_loss_ticket.OrderId == orderEvent.OrderId: self.stopLossOrderFillTime = self.Time