Overall Statistics |
Total Orders 1 Average Win 0% Average Loss 0% Compounding Annual Return -51.376% Drawdown 13.200% Expectancy 0 Net Profit -5.319% Sharpe Ratio -1.956 Sortino Ratio -2.66 Probabilistic Sharpe Ratio 12.920% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.11 Beta 1 Annual Standard Deviation 0.2 Annual Variance 0.04 Information Ratio -1.486 Tracking Error 0.074 Treynor Ratio -0.39 Total Fees $2.90 Estimated Strategy Capacity $62000000.00 Lowest Capacity Asset AAPL R735QTJ8XC9X Portfolio Turnover 3.54% |
#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 using QuantConnect.DataSource; namespace QuantConnect.DataLibrary.Tests { public class QuiverInsiderTradingAlgorithm : QCAlgorithm { private Symbol _symbol, _datasetSymbol; public override void Initialize() { SetStartDate(2022, 2, 1); //Set Start Date SetEndDate(2022, 2, 28); //Set End Date _symbol = AddEquity("AAPL").Symbol; _datasetSymbol = AddData<QuiverInsiderTrading>(_symbol).Symbol; // history request var history = History<QuiverInsiderTrading>(new[] {_datasetSymbol}, 10, Resolution.Daily); Debug($"We got {history.Count()} items from historical data request of {_datasetSymbol}."); } public override void OnData(Slice slice) { foreach (var kvp in slice.Get<QuiverInsiderTrading>()) { foreach (QuiverInsiderTrading insiderTrade in kvp.Value) { // based on the custom data property we will buy or short the underlying equity if (insiderTrade.Shares > 0) { SetHoldings(_symbol, 1); } else { Liquidate(_symbol); } } } } } }