Overall Statistics |
Total Orders 6 Average Win 12.04% Average Loss -5.94% Compounding Annual Return 35.514% Drawdown 17.800% Expectancy 1.018 Net Profit 11.030% Sharpe Ratio 0.799 Sortino Ratio 1.109 Probabilistic Sharpe Ratio 41.658% Loss Rate 33% Win Rate 67% Profit-Loss Ratio 2.03 Alpha 0.343 Beta 0.132 Annual Standard Deviation 0.423 Annual Variance 0.179 Information Ratio 0.678 Tracking Error 0.56 Treynor Ratio 2.55 Total Fees $7.41 Estimated Strategy Capacity $3400000.00 Lowest Capacity Asset GC XFO1EI4768PP Portfolio Turnover 3.71% |
#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.Algorithm.Selection; 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 QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm; using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm; #endregion using QuantConnect.DataSource; namespace QuantConnect { public class FutureOptionDataAlgorithm : QCAlgorithm { private Dictionary<Symbol, OptionContract> optionContractByUnderlyingFutureContract = new Dictionary<Symbol, OptionContract>(); public override void Initialize() { SetStartDate(2020, 1, 28); SetEndDate(2020, 6, 1); SetCash(100000); UniverseSettings.Asynchronous = true; // Requesting data var goldFutures = AddFuture(Futures.Metals.Gold, Resolution.Minute); goldFutures.SetFilter(0, 90); AddFutureOption(goldFutures.Symbol, universe => universe.Strikes(-5, +5) .CallsOnly() .BackMonth()); } public override void OnData(Slice slice) { foreach (var kvp in slice.OptionChains) { // Liquidate underlying Future contract after Option assignment var underlyingFutureContract = kvp.Key.Underlying; if (Portfolio[underlyingFutureContract].Invested) { Liquidate(underlyingFutureContract); optionContractByUnderlyingFutureContract.Remove(underlyingFutureContract); } var chain = kvp.Value.Where(contract => Securities[contract.Symbol].IsTradable); // Continue if chain is empty or already invested in an Option on this Futures contract if (chain.Count() == 0 || optionContractByUnderlyingFutureContract.ContainsKey(underlyingFutureContract)) { continue; } // Select the Option contract with the lowest strike price var contract = chain.OrderByDescending(contract => contract.Strike).Last(); MarketOrder(contract.Symbol, 1); optionContractByUnderlyingFutureContract.Add(kvp.Key.Underlying, contract); } } public override void OnSecuritiesChanged(SecurityChanges changes) { foreach (var security in changes.AddedSecurities) { if (security.Type == SecurityType.FutureOption) { // Historical data var history = History(security.Symbol, 10, Resolution.Minute); Debug($"We got {history.Count()} from our history request for {security.Symbol}"); } } } } }