9e31261116
* Add open interest data to future chains contracts Even though futures chains and contracts are not created from internal subscriptions data (like OI subscriptions or continuous futures contracts subscriptions), we still want to add OI data to already created contracts given that OI subscriptions are always internal but trade an quote ones are not. * Minor changes
173 lines
7.5 KiB
C#
173 lines
7.5 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Data.Market;
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using QuantConnect.Orders;
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using QuantConnect.Interfaces;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Options Open Interest data regression test.
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/// </summary>
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/// <meta name="tag" content="options" />
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/// <meta name="tag" content="regression test" />
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public class OptionOpenInterestRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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public override void Initialize()
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{
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// this test opens position in the first day of trading, lives through stock split (7 for 1), and closes adjusted position on the second day
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SetStartDate(2014, 06, 05);
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SetEndDate(2014, 06, 06);
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SetCash(1000000);
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var option = AddOption("TWX");
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option.SetFilter(-10, +10, TimeSpan.Zero, TimeSpan.FromDays(365 * 2));
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// use the underlying equity as the benchmark
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SetBenchmark("TWX");
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}
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/// <summary>
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/// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
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/// </summary>
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/// <param name="slice">The current slice of data keyed by symbol string</param>
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public override void OnData(Slice slice)
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{
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if (!Portfolio.Invested)
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{
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foreach (var chain in slice.OptionChains)
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{
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foreach (var contract in chain.Value)
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{
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if (contract.Symbol.ID.StrikePrice == 72.5m &&
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contract.Symbol.ID.OptionRight == OptionRight.Call &&
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contract.Symbol.ID.Date == new DateTime(2016, 01, 15))
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{
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var history = History<OpenInterest>(contract.Symbol, TimeSpan.FromDays(1)).ToList();
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if (history.Count == 0)
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{
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throw new RegressionTestException("Regression test failed: open interest history request is empty");
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}
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var security = Securities[contract.Symbol];
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var openInterestCache = security.Cache.GetData<OpenInterest>();
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if (openInterestCache == null)
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{
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throw new RegressionTestException("Regression test failed: current open interest isn't in the security cache");
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}
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if (slice.Time.Date == new DateTime(2014, 06, 05) && (contract.OpenInterest != 50 || security.OpenInterest != 50))
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{
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throw new RegressionTestException("Regression test failed: current open interest was not correctly loaded and is not equal to 50");
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}
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if (slice.Time.Date == new DateTime(2014, 06, 06) && (contract.OpenInterest != 70 || security.OpenInterest != 70))
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{
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throw new RegressionTestException("Regression test failed: current open interest was not correctly loaded and is not equal to 70");
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}
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if (slice.Time.Date == new DateTime(2014, 06, 06))
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{
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MarketOrder(contract.Symbol, 1);
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MarketOnCloseOrder(contract.Symbol, -1);
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}
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}
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}
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// We should be able to access the open interest of the contract
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if (chain.Value.All(contract => contract.OpenInterest == 0))
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{
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throw new RegressionTestException("Regression test failed: open interest is zero for all contracts");
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}
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}
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}
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}
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/// <summary>
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/// Order fill event handler. On an order fill update the resulting information is passed to this method.
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/// </summary>
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/// <param name="orderEvent">Order event details containing details of the events</param>
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/// <remarks>This method can be called asynchronously and so should only be used by seasoned C# experts. Ensure you use proper locks on thread-unsafe objects</remarks>
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public override void OnOrderEvent(OrderEvent orderEvent)
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{
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Log(orderEvent.ToString());
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public bool CanRunLocally { get; } = true;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public long DataPoints => 256364;
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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public int AlgorithmHistoryDataPoints => 77028;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "4"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Start Equity", "1000000"},
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{"End Equity", "999898"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "0"},
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{"Tracking Error", "0"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$2.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Lowest Capacity Asset", "AOL W78ZERDZK1QE|AOL R735QTJ8XC9X"},
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{"Portfolio Turnover", "0.07%"},
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{"OrderListHash", "58c3e82532109b692429e1eb062296b5"}
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};
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}
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}
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