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.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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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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/// Demonstration of the Option Chain Provider -- a much faster mechanism for manually specifying the option contracts you'd like to receive
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/// data for and manually subscribing to them.
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/// </summary>
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/// <meta name="tag" content="strategy example" />
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/// <meta name="tag" content="options" />
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="selecting options" />
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/// <meta name="tag" content="manual selection" />
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public class OptionChainProviderAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private Symbol _equitySymbol;
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private Symbol _optionContract = string.Empty;
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private readonly HashSet<Symbol> _contractsAdded = new HashSet<Symbol>();
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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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var equity = AddEquity("GOOG", Resolution.Minute);
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equity.SetDataNormalizationMode(DataNormalizationMode.Raw);
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_equitySymbol = equity.Symbol;
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}
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public override void OnData(Slice slice)
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{
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if (!Portfolio[_equitySymbol].Invested)
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{
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MarketOrder(_equitySymbol, 100);
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}
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if (!(Securities.ContainsKey(_optionContract) && Portfolio[_optionContract].Invested))
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{
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var contracts = OptionChainProvider.GetOptionContractList(_equitySymbol, slice.Time);
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var underlyingPrice = Securities[_equitySymbol].Price;
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// filter the out-of-money call options from the contract list which expire in 10 to 30 days from now on
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var otmCalls = (from symbol in contracts
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where symbol.ID.OptionRight == OptionRight.Call
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where symbol.ID.StrikePrice - underlyingPrice > 0
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where ((symbol.ID.Date - slice.Time).TotalDays < 30 && (symbol.ID.Date - slice.Time).TotalDays > 10)
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select symbol);
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if (otmCalls.Count() != 0)
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{
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_optionContract = otmCalls.OrderBy(x => x.ID.Date)
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.ThenBy(x => (x.ID.StrikePrice - underlyingPrice))
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.FirstOrDefault();
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if (_contractsAdded.Add(_optionContract))
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{
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// use AddOptionContract() to subscribe the data for specified contract
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AddOptionContract(_optionContract, Resolution.Minute);
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}
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}
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else _optionContract = string.Empty;
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}
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if (Securities.ContainsKey(_optionContract) && !Portfolio[_optionContract].Invested)
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{
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MarketOrder(_optionContract, -1);
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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 => 881;
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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 => 1;
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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", "2"},
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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", "99890"},
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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", "$6300000.00"},
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{"Lowest Capacity Asset", "GOOCV W723A0UBBS5I|GOOCV VP83T1ZUHROL"},
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{"Portfolio Turnover", "76.04%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "20963045be4abe2ce837a0261329462d"}
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};
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}
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}
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