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 0.085 Tracking Error 0.165 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
#region imports using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Globalization; using System.Drawing; using QuantConnect; using QuantConnect.Algorithm.Framework; using QuantConnect.Algorithm.Framework.Selection; using QuantConnect.Algorithm.Framework.Alphas; using QuantConnect.Algorithm.Framework.Portfolio; using QuantConnect.Algorithm.Framework.Execution; using QuantConnect.Algorithm.Framework.Risk; using QuantConnect.Parameters; using QuantConnect.Benchmarks; using QuantConnect.Brokerages; using QuantConnect.Util; using QuantConnect.Interfaces; using QuantConnect.Algorithm; using QuantConnect.Indicators; using QuantConnect.Data; using QuantConnect.Data.Consolidators; using QuantConnect.Data.Custom; using QuantConnect.DataSource; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.UniverseSelection; using QuantConnect.Notifications; using QuantConnect.Orders; using QuantConnect.Orders.Fees; using QuantConnect.Orders.Fills; using QuantConnect.Orders.Slippage; using QuantConnect.Scheduling; using QuantConnect.Securities; using QuantConnect.Securities.Equity; using QuantConnect.Securities.Future; using QuantConnect.Securities.Option; using QuantConnect.Securities.Forex; using QuantConnect.Securities.Crypto; using QuantConnect.Securities.Interfaces; using QuantConnect.Storage; using QuantConnect.Data.Custom.AlphaStreams; using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion namespace QuantConnect.Algorithm.CSharp { public class UpgradedApricotHamster : QCAlgorithm { private Symbol _btceur, _btcusd; private CompositeIndicator _ratio, _deltaSeries, _deltaDiff; private Identity _btceurId, _btcusdId, _manualIdentity; private SimpleMovingAverage _ratioSMA, _deltaSMA; private StandardDeviation _deltaNormRatio; public override void Initialize() { SetStartDate(2021, 4, 26); //Set Start Date SetCash(100000); //Set Strategy Cash SetTimeZone(NodaTime.DateTimeZone.Utc); _btceur = AddCrypto("BTCEUR", Resolution.Daily).Symbol; _btcusd = AddCrypto("BTCUSD", Resolution.Daily).Symbol; _btceurId = Identity(_btceur, Resolution.Daily); _btcusdId = Identity(_btcusd, Resolution.Daily); _ratio = _btcusdId.Over(_btceurId); var smaLength = 20; _ratioSMA = (new SimpleMovingAverage(smaLength)).Of(_ratio); _deltaSeries = _ratio.Minus(_ratioSMA); _deltaSMA = (new SimpleMovingAverage(smaLength)).Of(_deltaSeries); _deltaDiff = _deltaSeries.Minus(_deltaSMA); _deltaNormRatio = (new StandardDeviation(smaLength)).Of(_deltaDiff); } public override void OnData(Slice data) { Plot("Indicator 1", "BTCEUR_indicator", _btceurId.Current.Value); Plot("Indicator 1", "BTCEUR_price", data.Bars[_btceur].Close); Plot("Indicator 2", "BTCUSD_indicator", _btcusdId.Current.Value); Plot("Indicator 2", "BTCUSD_price", data.Bars[_btcusd].Close); Plot("Indicator 3", "Ratio", _ratio.Current.Value); Plot("Indicator 3", "RatioSMA", _ratioSMA.Current.Value); Plot("Indicator 4", "Delta", _deltaSeries.Current.Value); Plot("Indicator 4", "DeltaSMA", _deltaSMA.Current.Value); Plot("Indicator 5", "DeltaDiff", _deltaDiff.Current.Value); Plot("Indicator 6", "DeltaNormRatio", _deltaNormRatio.Current.Value); } } }