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 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 |
/* * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ using System.Collections.Generic; using System.Linq; using QuantConnect.Data.Fundamental; using QuantConnect.Data.Market; using QuantConnect.Data.UniverseSelection; using QuantConnect.Data; using QuantConnect.Data.Market; using QuantConnect.Orders; using QuantConnect.Securities.Option; using System.Collections.Generic; namespace QuantConnect.Algorithm.CSharp { /// <summary> /// In this algorithm we demonstrate how to define a universe /// as a combination of use the coarse fundamental data and fine fundamental data /// </summary> public class CoarseFineFundamentalComboAlgorithm : QCAlgorithm { private const int NumberOfSymbolsCoarse = 5; private const int NumberOfSymbolsFine = 2; // initialize our changes to nothing private SecurityChanges _changes = SecurityChanges.None; public override void Initialize() { UniverseSettings.Resolution = Resolution.Daily; SetStartDate(2016, 03, 01); SetEndDate(2017, 03, 01); SetCash(10000); // this add universe method accepts two parameters: // - coarse selection function: accepts an IEnumerable<CoarseFundamental> and returns an IEnumerable<Symbol> // - fine selection function: accepts an IEnumerable<FineFundamental> and returns an IEnumerable<Symbol> AddUniverse(CoarseSelectionFunction, FineSelectionFunction); } // sort the data by daily dollar volume and take the top 'NumberOfSymbolsCoarse' public IEnumerable<Symbol> CoarseSelectionFunction(IEnumerable<CoarseFundamental> coarse) { // select only symbols with fundamental data and sort descending by daily dollar volume var sortedByDollarVolume = coarse .Where(x => x.HasFundamentalData) .OrderByDescending(x => x.DollarVolume); // take the top entries from our sorted collection var top5 = sortedByDollarVolume.Take(15); // we need to return only the symbol objects return top5.Select(x => x.Symbol); } // sort the data by P/E ratio and take the top 'NumberOfSymbolsFine' public IEnumerable<Symbol> FineSelectionFunction(IEnumerable<FineFundamental> fine) { return fine.Where(x => // More than 7 days after earnings report Time >= x.EarningReports.FileDate.AddDays(-7) && Time >= x.EarningReports.FileDate.AddDays(0) && // Invalid FileDate x.EarningReports.FileDate != new DateTime()) .Take(5) .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 override void OnData(Slice data) { Debug("ondata"); // 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); Debug("Liquidated Stock: " + security.Symbol.Value); } } // we want 50% allocation in each security in our universe foreach (var security in _changes.AddedSecurities) { Debug("added security"); var OptionSymbol = QuantConnect.Symbol.Create(security.Symbol.Value, SecurityType.Option, Market.USA); OptionChain chain; if (data.OptionChains.TryGetValue(OptionSymbol, out chain)) { Debug("OptionsChains"); var atmStraddle = chain .OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike)) .ThenByDescending(x => x.Expiry) .FirstOrDefault(); if (atmStraddle != null) { Buy(OptionStrategies.Straddle(security.Symbol, atmStraddle.Strike, atmStraddle.Expiry), 1); Debug("Bought Straddle: " + security.Symbol.Value); } } } _changes = SecurityChanges.None; } // this event fires whenever we have changes to our universe public override void OnSecuritiesChanged(SecurityChanges changes) { _changes = changes; if (changes.AddedSecurities.Count > 0) { Debug("Securities added: " + string.Join(",", changes.AddedSecurities.Select(x => x.Symbol.Value))); } if (changes.RemovedSecurities.Count > 0) { Debug("Securities removed: " + string.Join(",", changes.RemovedSecurities.Select(x => x.Symbol.Value))); } } } }