Overall Statistics |
Total Trades 893 Average Win 2.19% Average Loss -1.92% Compounding Annual Return 6443733821369940000000000% Drawdown 32.500% Expectancy 0.824 Net Profit 99201.095% Sharpe Ratio 23.254 Loss Rate 15% Win Rate 85% Profit-Loss Ratio 1.14 Alpha 8.083 Beta 2305.214 Annual Standard Deviation 1.688 Annual Variance 2.848 Information Ratio 23.247 Tracking Error 1.688 Treynor Ratio 0.017 Total Fees $333202.70 |
//Copyright HardingSoftware.com, 2018. //Granted to the public domain. //Use entirely at your own risk. namespace QuantConnect { public class MultiCoinFramework : QCAlgorithm { string tickersString ="BTCUSD,ETHUSD,LTCUSD"; decimal changes1Ratio=-1.0m; //The influence of change upon fitness. decimal changes2Ratio=0.0m; //The influence of change in change upon fitness. int emaOfChanges1Length=5; //The length of the change indicator. int emaOfChanges2Length=5; //The length of the change in change indicator. decimal leverage=1m; int historyLength=2; int changes1Length=2; int changes2Length=2; Resolution resolution=Resolution.Hour; List<StockData> stockDatas = new List<StockData>(); string stockHeld=""; public override void Initialize() { SetStartDate(2018, 2, 1); SetEndDate(2018, 3, 21); SetCash(1000); string[] tickers = tickersString.Split(new string[1] { "," }, StringSplitOptions.RemoveEmptyEntries); foreach (string ticker in tickers) { Symbol symbol = QuantConnect.Symbol.Create(ticker, SecurityType.Crypto, Market.GDAX); AddCrypto(symbol, resolution); StockData stockData=new StockData(); stockData.Ticker=ticker; stockData.emaOfChanges1Indicator = new ExponentialMovingAverage(emaOfChanges1Length); stockData.emaOfChanges2Indicator = new ExponentialMovingAverage(emaOfChanges2Length); stockDatas.Add(stockData); } foreach (Security s in Securities.Values) { s.FeeModel=new CustomFeeModel(); } } public override void OnData(Slice data) { foreach (StockData stockData in stockDatas) { if (data.QuoteBars.ContainsKey(stockData.Ticker)==false) { continue; } stockData.history.Add(data.QuoteBars[stockData.Ticker].Close); if (stockData.history.Count>historyLength) { stockData.history.RemoveAt(0); } if (stockData.history.Count>=2) { if (stockData.history[stockData.history.Count-2]!=0) { decimal change=(stockData.history.Last()-stockData.history[stockData.history.Count-2])/stockData.history[stockData.history.Count-2]; stockData.changes1History.Add(change); if (stockData.changes1History.Count>changes1Length) { stockData.changes1History.RemoveAt(0); } } } if (stockData.changes1History.Count>=2) { decimal change=stockData.changes1History.Last()-stockData.changes1History[stockData.changes1History.Count-2]; stockData.changes2History.Add(change); if (stockData.changes2History.Count>changes2Length) { stockData.changes2History.RemoveAt(0); } } if (stockData.changes1History.Count>0) { stockData.emaOfChanges1Indicator.Update(Time,stockData.changes1History.Last()); } if (stockData.changes2History.Count>0) { stockData.emaOfChanges2Indicator.Update(Time,stockData.changes2History.Last()); } stockData.Fitness=changes1Ratio*stockData.emaOfChanges1Indicator+changes2Ratio*stockData.emaOfChanges2Indicator; } var q1 = from x in stockDatas orderby x.Fitness descending select x; List<StockData> q2=q1.ToList(); if (q2.Count>0) { StockData selectedStockData=q2.First(); if (selectedStockData.Ticker != stockHeld) { Liquidate(); SetHoldings(selectedStockData.Ticker, leverage); stockHeld=selectedStockData.Ticker; } } } class StockData { public string Ticker; public List<decimal> history=new List<decimal>(); public List<decimal> changes1History=new List<decimal>(); public List<decimal> changes2History=new List<decimal>(); public ExponentialMovingAverage emaOfChanges1Indicator; public ExponentialMovingAverage emaOfChanges2Indicator; public decimal Fitness; } public class CustomFeeModel : IFeeModel { public decimal GetOrderFee(Security security, Order order) { var fee = order.AbsoluteQuantity*0.0025m*security.Price; return fee; } } } }