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 QuantConnect.Data;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Interfaces;
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using QuantConnect.Securities.Option;
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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.Market;
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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 checks FillForwardEnumerator should FF the data until it reaches the delisting date
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/// replicates GH issue https://github.com/QuantConnect/Lean/issues/4872
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/// </summary>
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public class FillForwardUntilExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private DateTime _realEndDate = new DateTime(2014, 06, 07);
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private SecurityExchange _exchange;
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private Dictionary<Symbol, HashSet<DateTime>> _options;
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private string[] _contracts =
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{
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"TWX 140621P00067500",
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"TWX 140621C00067500",
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"TWX 140621C00070000",
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"TWX 140621P00070000"
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};
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public override void Initialize()
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{
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SetStartDate(2014, 06, 05);
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SetEndDate(2014, 06, 30);
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_options = new Dictionary<Symbol, HashSet<DateTime>>();
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var _twxOption = AddOption("TWX", Resolution.Minute);
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_exchange = _twxOption.Exchange;
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_twxOption.SetFilter((x) => x
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.Contracts(c => c.Where(s => _contracts.Contains(s.Symbol.Value))));
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SetBenchmark(t => 1);
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}
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public override void OnData(Slice slice)
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{
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foreach (var value in slice.OptionChains.Values)
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{
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foreach (var contact in value.Contracts)
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{
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BaseData bar = null;
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QuoteBar quoteBar;
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if (bar == null && value.QuoteBars.TryGetValue(contact.Key, out quoteBar))
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{
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bar = quoteBar;
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}
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TradeBar tradeBar;
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if (bar == null && value.TradeBars.TryGetValue(contact.Key, out tradeBar))
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{
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bar = tradeBar;
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}
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if (bar.IsFillForward)
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{
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_options[contact.Key].Add(value.Time.Date);
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}
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}
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}
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}
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public override void OnSecuritiesChanged(SecurityChanges changes)
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{
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foreach (var security in changes.AddedSecurities.OfType<Option>())
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{
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_options.Add(security.Symbol, new HashSet<DateTime>());
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}
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}
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public override void OnEndOfAlgorithm()
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{
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if (_options.Count != _contracts.Length)
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{
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throw new RegressionTestException($"Options weren't setup properly. Expected: {_contracts.Length}");
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}
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foreach (var option in _options)
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{
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for (DateTime date = _realEndDate; date < option.Key.ID.Date; date = date.AddDays(1))
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{
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if (_exchange.Hours.IsDateOpen(date) &&
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!option.Value.Contains(date))
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{
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throw new RegressionTestException("Delisted security should be FF until expiry date");
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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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/// 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 };
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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 => 70553;
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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", "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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