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 -2.178 Tracking Error 0.129 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
import numpy as np import pandas as pd class LogicalBlueMule(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 11, 9) self.SetEndDate(2021, 3, 18) self.SetCash(100000) self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol consolidator = TradeBarConsolidator(timedelta(2)) consolidator.DataConsolidated += self.consolidation_handler self.SubscriptionManager.AddConsolidator(self.symbol, consolidator) self.SetWarmup(3) self.HA = HeikinAshi() overlayPlot = Chart("HA_Chart") overlayPlot.AddSeries(Series(self.HA, SeriesType.Candle, 0)) self.AddChart(overlayPlot) def consolidation_handler(self, sender, bar): if not self.HA.Update(bar): return self.Plot("HA", "Open", self.HA.Open.Current.Value) self.Plot("HA", "High", self.HA.High.Current.Value) self.Plot("HA", "Low", self.HA.Low.Current.Value) self.Plot("HA", "Close", self.HA.Close.Current.Value) self.Plot("HA_Chart", "HA_Candle", (self.HA.Current.Value))