Overall Statistics |
Total Trades 143 Average Win 2.81% Average Loss -1.04% Compounding Annual Return 441.335% Drawdown 70.700% Expectancy 1.005 Net Profit 104.670% Sharpe Ratio 9.733 Probabilistic Sharpe Ratio 68.316% Loss Rate 46% Win Rate 54% Profit-Loss Ratio 2.71 Alpha 19.286 Beta 3.493 Annual Standard Deviation 2.065 Annual Variance 4.263 Information Ratio 9.719 Tracking Error 2.044 Treynor Ratio 5.753 Total Fees $0.00 Estimated Strategy Capacity $27000000.00 Lowest Capacity Asset BTCUSDT 18N Portfolio Turnover 45.25% |
from AlgorithmImports import * import talib import numpy as np class RetrospectiveYellowGreenAlligator(QCAlgorithm): def Initialize(self): # INITIALIZE self.SetStartDate(2023, 1, 18) self.SetEndDate(2023, 6, 19) self._cash = 100000 self.SetCash(self._cash) self.UniverseSettings.Resolution = Resolution.Daily self.AddUniverse(CryptoCoarseFundamentalUniverse(Market.Binance, self.UniverseSettings, self.universe_filter)) # SET BENCHMARK AND PREPARE COMPARATIVE PLOT self.reference_ticker = {} self._initialValue_ticker = {} # SET TECHNICAL INDICATORS self.Bolband = {} self.sto = {} # Risk management self.AddRiskManagement(TrailingStopRiskManagementModel(0.03)) self.Debug("Stop loss hit") def universe_filter(self, crypto_coarse: List[CryptoCoarseFundamental]) -> List[Symbol]: return [cf.Symbol for cf in crypto_coarse if cf.VolumeInUsd is not None and cf.VolumeInUsd > 60000000] def OnData(self, data): for symbol in data.Keys: if symbol not in self.reference_ticker: self.reference_ticker[symbol] = self.History(symbol, 10, Resolution.Daily)['close'] self._initialValue_ticker[symbol] = self.reference_ticker[symbol].iloc[0] self.Bolband[symbol] = self.BB(symbol, 10, 0.45, MovingAverageType.Simple, Resolution.Daily) self.sto[symbol] = self.STO(symbol, 8, 5, 5, Resolution.Daily) price = data[symbol].Close sto_value = self.sto[symbol].Current.Value if price > self.Bolband[symbol].UpperBand.Current.Value and sto_value > 80: self.SetHoldings(symbol, -1) self.Debug(f"Short position triggered for {symbol}") elif price > self.Bolband[symbol].MiddleBand.Current.Value and price < self.Bolband[symbol].UpperBand.Current.Value: self.SetHoldings(symbol, 0.5) self.Debug(f"Mid long triggered for {symbol}") elif price < self.Bolband[symbol].MiddleBand.Current.Value and price > self.Bolband[symbol].LowerBand.Current.Value and sto_value < 20: self.SetHoldings(symbol, 1) self.Debug(f"Long position triggered for {symbol}") elif self.Portfolio[symbol].UnrealizedProfitPercent > 0.1: self.Liquidate(symbol) self.Debug(f"Take profit triggered for {symbol}") else: self.SetHoldings(symbol, 1) self.Plot("Strategy Equity", str(symbol), self._cash * self.Securities[symbol].Close / self._initialValue_ticker[symbol]) self.Plot("Strategy Equity", 'Portfolio Value', self.Portfolio.TotalPortfolioValue) self.Plot("Bollinger", 'BB Lower', self.Bolband[symbol].LowerBand.Current.Value) self.Plot("Bollinger", 'BB Upper', self.Bolband[symbol].UpperBand.Current.Value) self.Plot("Bollinger", 'BB Middle', self.Bolband[symbol].MiddleBand.Current.Value) self.Plot("Bollinger", str(symbol), price) self.Plot("Stochastic", "faststoch", self.sto[symbol].FastStoch.Current.Value) self.Plot("Stochastic", "stochk", self.sto[symbol].StochK.Current.Value) self.Plot("Stochastic", "stochd", self.sto[symbol].StochD.Current.Value)