Overall Statistics |
Total Trades 28 Average Win 0.32% Average Loss -0.18% Compounding Annual Return 1939.462% Drawdown 1.500% Expectancy 1.471 Net Profit 5.082% Sharpe Ratio 11.365 Loss Rate 12% Win Rate 88% Profit-Loss Ratio 1.82 Alpha 1.285 Beta 59.411 Annual Standard Deviation 0.185 Annual Variance 0.034 Information Ratio 11.297 Tracking Error 0.185 Treynor Ratio 0.035 Total Fees $45.30 |
// https://www.quantconnect.com/forum/discussion/918/feature-coarse-universe-selection using System; using System.Collections.Generic; using System.Linq; using QuantConnect.Data.Market; using QuantConnect.Data.UniverseSelection; namespace QuantConnect.Algorithm.CSharp { // In this algorithm we show how you can easily define a // universe using our coarse selection data. This data includes // a few properties, including the daily DollarVolume, the daily Volume // and also the daily closing price via the Value property. public class CoarseFundamentalTop5Algorithm : QCAlgorithm { // initialize our security changes to nothing SecurityChanges _changes = SecurityChanges.None; //Coarse region "Variables" private const decimal minPrice = 50; private const decimal maxPrice = 100; private const int numberOfSymbolsCoarse = 15; private const decimal minVolume = 50000; private const decimal tpPercent = 1.01m; public override void Initialize() { // this sets the resolution for securities added via universe selection UniverseSettings.Resolution = Resolution.Minute; SetStartDate(2018, 5, 6); SetEndDate(2018, 5, 12); SetCash(100000); // this add universe method accepts a single parameter that is a function that // accepts an IEnumerable<CoarseFundamental> and returns IEnumerable<Symbol> AddUniverse(coarse => { return (from stock in coarse where stock.Price > minPrice where stock.Price < maxPrice where stock.Volume > minVolume orderby stock.DollarVolume descending select stock.Symbol).Take(numberOfSymbolsCoarse); }); } // sort the data by daily dollar volume and take the top 5 symbols public static IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse) { // sort descending by daily dollar volume var sortedByDollarVolume = coarse.OrderByDescending(x => x.DollarVolume); // take the top 5 entries from our sorted collection var top5 = sortedByDollarVolume.Take(5); // we need to return only the symbols return top5.Select(x => x.Symbol); } //Data Event Handler: New data arrives here. "TradeBars" type is a dictionary of strings so you can access it by symbol. public void OnData(TradeBars data) { // if we have no changes, do nothing if (_changes == SecurityChanges.None) return; // liquidate removed securities foreach (var security in _changes.RemovedSecurities) { if (security.Invested) { Liquidate(security.Symbol); } } // we want 25% allocation in each security in our universe (total of 150% invested) foreach (var security in _changes.AddedSecurities) { SetHoldings(security.Symbol, 0.25m); } // reset our changes _changes = SecurityChanges.None; } // this event fires whenever we have changes to our universe public override void OnSecuritiesChanged(SecurityChanges changes) { _changes = changes; } } }