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 Tracking Error 0 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 Screener : QCAlgorithm { DateTime _lastWorkingDay; List<Symbol> _coarseUniverse; public override void Initialize() { DateTime Today = DateTime.Now.Date; UniverseSettings.ExtendedMarketHours = false; UniverseSettings.DataNormalizationMode = DataNormalizationMode.SplitAdjusted; if (Today.DayOfWeek == DayOfWeek.Sunday) _lastWorkingDay = Today.AddDays(-2); if (Today.DayOfWeek == DayOfWeek.Monday) _lastWorkingDay = Today.AddDays(-3); else _lastWorkingDay = Today.AddDays(-1); SetStartDate(_lastWorkingDay); SetEndDate(_lastWorkingDay.AddHours(23).AddMinutes(59)); Debug($"Last working day: {_lastWorkingDay:dddd yy.MM.dd}"); Debug($"The Technical filter function will not be executed if this last working day was a holiday"); AddUniverse(CoarseFilterFunction); Schedule.On(DateRules.On(_lastWorkingDay.Year, _lastWorkingDay.Month, _lastWorkingDay.Day), TimeRules.At(23, 50, 0), TechnicalFilterFunction); } private IEnumerable<Symbol> CoarseFilterFunction(IEnumerable<CoarseFundamental> coarse) { _coarseUniverse = coarse .OrderByDescending(x => x.DollarVolume) .Select(x=> x.Symbol).Take(10).ToList(); return Universe.Unchanged; } public void TechnicalFilterFunction() { List<Symbol> symbols; IEnumerable<Slice> hourlySlices; Debug($"{Time:yy.MM.dd HH:mm} TechnicalFilterFunction()"); symbols = _coarseUniverse.ToList(); //Filter out the symbols whose yesterdays close price is below the minimum hourlySlices = History(symbols, 8, Resolution.Hour); if (hourlySlices.Count() == 0) throw new Exception($"There are no hourly slices available"); var lastHourlySlice = hourlySlices.Last(); Debug($"Last hourly slice end time: {lastHourlySlice.Time:yy.MM.dd HH:mm:ss}"); foreach (var (symbol, tradeBar) in lastHourlySlice.Bars) { Debug($"{symbol.Value} T:{tradeBar.Time:yy.MM.dd HH:mm:ss} C:{tradeBar.Close:F2}"); } } } }