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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using System;
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using System.Linq;
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using System.Collections.Generic;
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using QuantConnect.Data;
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using QuantConnect.Interfaces;
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using QuantConnect.Securities;
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using QuantConnect.Securities.Future;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// This regression algorithm asserts that futures have data at extended market hours when this is enabled.
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/// </summary>
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public class FutureContractsExtendedMarketHoursRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Future _es;
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private Future _gc;
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private bool _esRanOnRegularHours;
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private bool _esRanOnExtendedHours;
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private bool _gcRanOnRegularHours;
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private bool _gcRanOnExtendedHours;
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public override void Initialize()
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{
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SetStartDate(2013, 10, 6);
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SetEndDate(2013, 10, 11);
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var esFutureSymbol = QuantConnect.Symbol.CreateFuture(Futures.Indices.SP500EMini, Market.CME, new DateTime(2013, 12, 20));
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_es = AddFutureContract(esFutureSymbol, Resolution.Hour, fillForward: true, extendedMarketHours: true);
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var gcFutureSymbol = QuantConnect.Symbol.CreateFuture(Futures.Metals.Gold, Market.COMEX, new DateTime(2013, 10, 29));
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_gc = AddFutureContract(gcFutureSymbol, Resolution.Hour, fillForward: true, extendedMarketHours: false);
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}
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public override void OnData(Slice slice)
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{
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var sliceSymbols = new HashSet<Symbol>(slice.Keys);
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sliceSymbols.UnionWith(slice.Bars.Keys);
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sliceSymbols.UnionWith(slice.Ticks.Keys);
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sliceSymbols.UnionWith(slice.QuoteBars.Keys);
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var esIsInRegularHours = _es.Exchange.Hours.IsOpen(Time, false);
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var esIsInExtendedHours = !esIsInRegularHours && _es.Exchange.Hours.IsOpen(Time, true);
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var sliceHasESData = sliceSymbols.Any(symbol => symbol == _es.Symbol || symbol.Canonical == _es.Symbol);
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_esRanOnRegularHours |= esIsInRegularHours && sliceHasESData;
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_esRanOnExtendedHours |= esIsInExtendedHours && sliceHasESData;
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var gcIsInRegularHours = _gc.Exchange.Hours.IsOpen(Time, false);
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var gcIsInExtendedHours = !gcIsInRegularHours && _gc.Exchange.Hours.IsOpen(Time, true);
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var sliceHasGCData = sliceSymbols.Any(symbol => symbol == _gc.Symbol || symbol.Canonical == _gc.Symbol);
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_gcRanOnRegularHours |= gcIsInRegularHours && sliceHasGCData;
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_gcRanOnExtendedHours |= gcIsInExtendedHours && sliceHasGCData;
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}
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public override void OnEndOfAlgorithm()
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{
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if (!_esRanOnRegularHours)
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{
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throw new RegressionTestException($"Algorithm should have run on regular hours for {_es.Symbol} future, which enabled extended market hours");
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}
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if (!_esRanOnExtendedHours)
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{
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throw new RegressionTestException($"Algorithm should have run on extended hours for {_es.Symbol} future, which enabled extended market hours");
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}
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if (!_gcRanOnRegularHours)
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{
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throw new RegressionTestException($"Algorithm should have run on regular hours for {_gc.Symbol} future, which did not enable extended market hours");
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}
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if (_gcRanOnExtendedHours)
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{
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throw new RegressionTestException($"Algorithm should have not run on extended hours for {_gc.Symbol} future, which did not enable extended market hours");
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}
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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 => 525;
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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 => 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 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", "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", "-2.564"},
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{"Tracking Error", "0.214"},
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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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