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BasicTemplateOptionsFrameworkAlgorithm.cs 7.31 KB
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Martin Molinero 提交于 2019-04-03 04:30 +08:00 . Address reviews
/*
* 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;
using System.Collections.Generic;
using QuantConnect.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Risk;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Basic template options framework algorithm uses framework components to define an algorithm
/// that trades options.
/// </summary>
public class BasicTemplateOptionsFrameworkAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Minute;
SetStartDate(2014, 06, 05);
SetEndDate(2014, 06, 06);
SetCash(100000);
// set framework models
SetUniverseSelection(new EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel(SelectOptionChainSymbols));
SetAlpha(new ConstantOptionContractAlphaModel(InsightType.Price, InsightDirection.Up, TimeSpan.FromHours(0.5)));
SetPortfolioConstruction(new SingleSharePortfolioConstructionModel());
SetExecution(new ImmediateExecutionModel());
SetRiskManagement(new NullRiskManagementModel());
}
// option symbol universe selection function
private static IEnumerable<Symbol> SelectOptionChainSymbols(DateTime utcTime)
{
var newYorkTime = utcTime.ConvertFromUtc(TimeZones.NewYork);
if (newYorkTime.Date < new DateTime(2014, 06, 06))
{
yield return QuantConnect.Symbol.Create("TWX", SecurityType.Option, Market.USA, "?TWX");
}
if (newYorkTime.Date >= new DateTime(2014, 06, 06))
{
yield return QuantConnect.Symbol.Create("AAPL", SecurityType.Option, Market.USA, "?AAPL");
}
}
/// <summary>
/// Creates option chain universes that select only the earliest expiry ATM weekly put contract
/// and runs a user defined optionChainSymbolSelector every day to enable choosing different option chains
/// </summary>
class EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel : OptionUniverseSelectionModel
{
public EarliestExpiringWeeklyAtTheMoneyPutOptionUniverseSelectionModel(Func<DateTime, IEnumerable<Symbol>> optionChainSymbolSelector)
: base(TimeSpan.FromDays(1), optionChainSymbolSelector)
{
}
/// <summary>
/// Defines the option chain universe filter
/// </summary>
protected override OptionFilterUniverse Filter(OptionFilterUniverse filter)
{
return filter
.Strikes(+1, +1)
.Expiration(TimeSpan.Zero, TimeSpan.FromDays(7))
.WeeklysOnly()
.PutsOnly()
.OnlyApplyFilterAtMarketOpen();
}
}
/// <summary>
/// Implementation of a constant alpha model that only emits insights for option symbols
/// </summary>
class ConstantOptionContractAlphaModel : ConstantAlphaModel
{
public ConstantOptionContractAlphaModel(InsightType type, InsightDirection direction, TimeSpan period)
: base(type, direction, period)
{
}
protected override bool ShouldEmitInsight(DateTime utcTime, Symbol symbol)
{
// only emit alpha for option symbols and not underlying equity symbols
if (symbol.SecurityType != SecurityType.Option)
{
return false;
}
return base.ShouldEmitInsight(utcTime, symbol);
}
}
/// <summary>
/// Portfolio construction model that sets target quantities to 1 for up insights and -1 for down insights
/// </summary>
class SingleSharePortfolioConstructionModel : PortfolioConstructionModel
{
public override IEnumerable<IPortfolioTarget> CreateTargets(QCAlgorithm algorithm, Insight[] insights)
{
foreach (var insight in insights)
{
yield return new PortfolioTarget(insight.Symbol, (int) insight.Direction);
}
}
}
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public bool CanRunLocally { get; } = true;
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Trades", "4"},
{"Average Win", "0.14%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "71.396%"},
{"Drawdown", "0.700%"},
{"Expectancy", "0"},
{"Net Profit", "0.271%"},
{"Sharpe Ratio", "9.165"},
{"Loss Rate", "0%"},
{"Win Rate", "100%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "24.746"},
{"Annual Standard Deviation", "0.025"},
{"Annual Variance", "0.001"},
{"Information Ratio", "8.883"},
{"Tracking Error", "0.025"},
{"Treynor Ratio", "0.009"},
{"Total Fees", "$4.00"},
{"Total Insights Generated", "26"},
{"Total Insights Closed", "24"},
{"Total Insights Analysis Completed", "24"},
{"Long Insight Count", "26"},
{"Short Insight Count", "0"},
{"Long/Short Ratio", "100%"},
{"Estimated Monthly Alpha Value", "$28.43325"},
{"Total Accumulated Estimated Alpha Value", "$1.89555"},
{"Mean Population Estimated Insight Value", "$0.07898125"},
{"Mean Population Direction", "50%"},
{"Mean Population Magnitude", "0%"},
{"Rolling Averaged Population Direction", "50.0482%"},
{"Rolling Averaged Population Magnitude", "0%"}
};
}
}
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