Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -1.412 Tracking Error 0.146 Treynor Ratio 0 Total Fees $0.00 |
from QuantConnect.Indicators.CandlestickPatterns import Piercing, Doji, Harami class MultidimensionalVerticalCoreWave(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 1, 1) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.symbol = "EURUSD" self.resol = Resolution.Minute self.fx = self.AddForex(self.symbol, self.resol, Market.Oanda) self.indicators = [Piercing(self.symbol), Doji(self.symbol), Harami(self.symbol)] # Setup consolidator to update indicator consolidator = QuoteBarConsolidator(1) consolidator.DataConsolidated += self.consolidation_handler self.SubscriptionManager.AddConsolidator(self.symbol, consolidator) # set warmup period self.SetWarmUp(20) def consolidation_handler(self, sender, consolidated): for indicator in self.indicators: indicator.Update(consolidated) def OnData(self, data): if self.IsWarmingUp: return piercing = self.indicators[0].Current.Value doji = self.indicators[1].Current.Value harami = self.indicators[2].Current.Value self.Debug(harami) if not self.Portfolio[self.symbol].Invested: if harami == 1: self.MarketOrder(self.symbol, 50) if self.Portfolio[self.symbol].Invested: if harami == -1: self.MarketOrder(self.symbol, -50)