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;
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using QuantConnect.Data;
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using System.Collections.Generic;
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using QuantConnect.Indicators;
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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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/// This example demonstrates how to add index asset types.
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/// </summary>
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="benchmarks" />
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/// <meta name="tag" content="indexes" />
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public class BasicTemplateIndexAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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protected Symbol Spx { get; set; }
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protected Symbol SpxOption { get; set; }
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private ExponentialMovingAverage _emaSlow;
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private ExponentialMovingAverage _emaFast;
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protected virtual Resolution Resolution => Resolution.Minute;
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protected virtual int StartDay => 4;
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/// <summary>
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/// Initialize your algorithm and add desired assets.
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/// </summary>
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public override void Initialize()
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{
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SetStartDate(2021, 1, StartDay);
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SetEndDate(2021, 1, 18);
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SetCash(1000000);
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// Use indicator for signal; but it cannot be traded
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Spx = AddIndex("SPX", Resolution).Symbol;
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// Trade on SPX ITM calls
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SpxOption = QuantConnect.Symbol.CreateOption(
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Spx,
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Market.USA,
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OptionStyle.European,
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OptionRight.Call,
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3200m,
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new DateTime(2021, 1, 15));
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AddIndexOptionContract(SpxOption, Resolution);
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_emaSlow = EMA(Spx, Resolution > Resolution.Minute ? 6 : 80);
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_emaFast = EMA(Spx, Resolution > Resolution.Minute ? 2 : 200);
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Settings.DailyPreciseEndTime = true;
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}
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/// <summary>
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/// Index EMA Cross trading underlying.
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/// </summary>
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public override void OnData(Slice slice)
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{
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if (!slice.Bars.ContainsKey(Spx) || !slice.Bars.ContainsKey(SpxOption))
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{
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return;
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}
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// Warm up indicators
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if (!_emaSlow.IsReady)
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{
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return;
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}
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if (_emaFast > _emaSlow)
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{
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SetHoldings(SpxOption, 1);
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}
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else
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{
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Liquidate();
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}
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}
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/// <summary>
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/// Asserts indicators are ready
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/// </summary>
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/// <exception cref="RegressionTestException"></exception>
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protected void AssertIndicators()
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{
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if (!_emaSlow.IsReady || !_emaFast.IsReady)
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{
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throw new RegressionTestException("Indicators are not ready!");
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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 (Portfolio[Spx].TotalSaleVolume > 0)
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{
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throw new RegressionTestException("Index is not tradable.");
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}
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AssertIndicators();
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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, 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 virtual long DataPoints => 16199;
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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 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", "3"},
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{"Average Win", "7.08%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "603.355%"},
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{"Drawdown", "3.400%"},
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{"Expectancy", "0"},
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{"Start Equity", "1000000"},
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{"End Equity", "1064395"},
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{"Net Profit", "6.440%"},
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{"Sharpe Ratio", "-4.563"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0.604%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "100%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "-0.169"},
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{"Beta", "0.073"},
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{"Annual Standard Deviation", "0.028"},
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{"Annual Variance", "0.001"},
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{"Information Ratio", "-6.684"},
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{"Tracking Error", "0.099"},
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{"Treynor Ratio", "-1.771"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$3000.00"},
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{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
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{"Portfolio Turnover", "23.97%"},
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{"Drawdown Recovery", "9"},
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{"OrderListHash", "4b560d2a8cfae510c3c8dc92603470fc"}
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};
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}
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}
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