Overall Statistics |
Total Orders 91 Average Win 3.03% Average Loss -1.52% Compounding Annual Return -69.408% Drawdown 38.800% Expectancy -0.321 Net Profit -32.647% Sharpe Ratio -1.137 Sortino Ratio -1.593 Probabilistic Sharpe Ratio 6.199% Loss Rate 77% Win Rate 23% Profit-Loss Ratio 2.00 Alpha -0.577 Beta 0.1 Annual Standard Deviation 0.475 Annual Variance 0.226 Information Ratio -1.883 Tracking Error 0.484 Treynor Ratio -5.418 Total Fees $0.00 Estimated Strategy Capacity $140000.00 Lowest Capacity Asset BTCUSD 2XR Portfolio Turnover 116.56% |
#region imports using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Globalization; using System.Drawing; using QuantConnect; using System.Text.RegularExpressions; 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 namespace QuantConnect.DataLibrary.Tests { public class CoinGeckoAlgorithm : QCAlgorithm { private Symbol _cryptoSymbol; private Symbol _customDataSymbol; private RollingWindow<CoinGecko> _window; public override void Initialize() { SetStartDate(2019, 1, 1); //Set Start Date SetEndDate(2019, 5, 1); //Set End Date _cryptoSymbol = AddCrypto("BTCUSD").Symbol; _customDataSymbol = AddData<CoinGecko>("BTC").Symbol; _window = new RollingWindow<CoinGecko>(2); } public override void OnData(Slice slice) { var data = slice.Get<CoinGecko>(); if (!data.IsNullOrEmpty() && data.ContainsKey(_customDataSymbol)) { _window.Add(data[_customDataSymbol]); if (!_window.IsReady) { return; } // Buy BTCUSD if the market cap of BTC is increasing if (_window[0].MarketCap > _window[1].MarketCap) { SetHoldings(_cryptoSymbol, 1); } else { SetHoldings(_cryptoSymbol, -1); } } } public override void OnOrderEvent(OrderEvent orderEvent) { if (orderEvent.Status.IsFill()) { Debug($"Purchased Stock: {orderEvent.Symbol}"); } } } }