chore: import upstream snapshot with attribution
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/*
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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.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.Data.UniverseSelection;
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using QuantConnect.Interfaces;
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using QuantConnect.Securities;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm asserting that the security cache open interest is set from the chain universe data open interest
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/// </summary>
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public class OptionUniverseOpenInterestRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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/// <summary>
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/// The number of times the open interest was successfully asserted against the chain universe data
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/// </summary>
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protected int AssertionCount { get; private set; }
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public override void Initialize()
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{
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SetStartDate(2015, 12, 24);
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SetEndDate(2015, 12, 24);
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SetCash(100000);
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AddEquity("GOOG");
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var option = AddOption("GOOG");
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option.SetFilter(universe => universe.Contracts(contracts => contracts.Where(x => x.OpenInterest != 0).Take(10)));
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}
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/// <summary>
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/// Gets the chain universe data point stored in the given security cache if any
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/// </summary>
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protected virtual BaseChainUniverseData GetChainUniverseData(Security security)
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{
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return security.Cache.GetData<OptionUniverse>();
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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// The securities are added in the same time slice as the chain universe data that selected them,
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// which the algorithm manager stores in the security cache before any user code is called,
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// so the cache open interest must already be set here
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foreach (var security in changes.AddedSecurities)
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{
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AssertOpenInterest(security, checkOpenInterestTick: false);
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}
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}
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public override void OnData(Slice slice)
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{
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foreach (var security in Securities.Values)
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{
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AssertOpenInterest(security, checkOpenInterestTick: true);
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}
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}
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private void AssertOpenInterest(Security security, bool checkOpenInterestTick)
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{
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var securityType = security.Symbol.SecurityType;
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if (security.Symbol.IsCanonical() || !securityType.IsOption() && securityType != SecurityType.Future)
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{
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return;
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}
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var chainUniverseData = GetChainUniverseData(security);
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if (chainUniverseData == null || chainUniverseData.OpenInterest == 0)
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{
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return;
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}
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// If a more recent open interest tick was received from the data feed, the cache will reflect it instead
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if (checkOpenInterestTick)
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{
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var lastOpenInterestTick = security.Cache.GetData<OpenInterest>();
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if (lastOpenInterestTick != null && lastOpenInterestTick.EndTime > chainUniverseData.EndTime)
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{
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return;
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}
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}
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var expectedOpenInterest = (long)chainUniverseData.OpenInterest;
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if (security.Cache.OpenInterest != expectedOpenInterest)
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{
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throw new RegressionTestException($"Unexpected open interest value for {security.Symbol}. " +
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$"Expected {expectedOpenInterest} from the chain universe data but found {security.Cache.OpenInterest}");
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}
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AssertionCount++;
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}
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public override void OnEndOfAlgorithm()
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{
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if (AssertionCount == 0)
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{
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throw new RegressionTestException("The security cache open interest was never set from the chain universe data.");
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}
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Log($"Open interest was asserted {AssertionCount} times against the chain universe data");
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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 virtual 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 virtual List<Language> Languages { get; } = new() { Language.CSharp };
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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 virtual long DataPoints => 8886;
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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 virtual int AlgorithmHistoryDataPoints => 0;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public virtual 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 virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "0"},
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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", "100000"},
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{"End Equity", "100000"},
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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", "$0.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Lowest Capacity Asset", ""},
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{"Portfolio Turnover", "0%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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}
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