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 System.Linq;
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using QuantConnect.Data;
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using System.Collections.Generic;
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using QuantConnect.Data.Market;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression for running an Index algorithm with Daily data
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/// </summary>
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public class BasicTemplateIndexDailyAlgorithm : BasicTemplateIndexAlgorithm
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{
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protected override Resolution Resolution => Resolution.Daily;
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protected override int StartDay => 1;
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// two complete weeks starting from the 5th. The 18th bar is not included since it is a holiday
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protected virtual int ExpectedBarCount => 2 * 5;
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protected int BarCounter { get; set; }
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/// <summary>
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/// Purchase a contract when we are not invested, liquidate otherwise
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/// </summary>
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public override void OnData(Slice slice)
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{
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if (!Portfolio.Invested)
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{
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// SPX Index is not tradable, but we can trade an option
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MarketOrder(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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// Count how many slices we receive with SPX data in it to assert later
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if (slice.ContainsKey(Spx))
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{
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BarCounter++;
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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 (BarCounter != ExpectedBarCount)
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{
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throw new ArgumentException($"Bar Count {BarCounter} is not expected count of {ExpectedBarCount}");
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}
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AssertIndicators();
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if (Resolution != Resolution.Daily)
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{
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return;
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}
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var openInterest = Securities[SpxOption].Cache.GetAll<OpenInterest>();
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if (openInterest.Single().EndTime != new DateTime(2021, 1, 15, 15, 15, 0))
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{
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throw new ArgumentException($"Unexpected open interest time: {openInterest.Single().EndTime}");
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}
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foreach (var symbol in new[] { SpxOption, Spx })
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{
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var history = History(symbol, 10).ToList();
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if (history.Count != 10)
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{
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throw new RegressionTestException($"Unexpected history count: {history.Count}");
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}
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if (history.Any(x => x.Time.TimeOfDay != new TimeSpan(8, 30, 0)))
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{
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throw new RegressionTestException($"Unexpected history data start time");
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}
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if (history.Any(x => x.EndTime.TimeOfDay != new TimeSpan(15, 15, 0)))
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{
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throw new RegressionTestException($"Unexpected history data end time");
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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 override 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 override 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 override long DataPoints => 122;
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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 override int AlgorithmHistoryDataPoints => 30;
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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 override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "11"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "653.545%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Start Equity", "1000000"},
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{"End Equity", "1084600"},
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{"Net Profit", "8.460%"},
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{"Sharpe Ratio", "9.923"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "93.605%"},
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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", "3.61"},
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{"Beta", "-0.513"},
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{"Annual Standard Deviation", "0.359"},
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{"Annual Variance", "0.129"},
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{"Information Ratio", "8.836"},
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{"Tracking Error", "0.392"},
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{"Treynor Ratio", "-6.937"},
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{"Total Fees", "$0.00"},
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{"Estimated Strategy Capacity", "$0"},
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{"Lowest Capacity Asset", "SPX XL80P3GHIA9A|SPX 31"},
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{"Portfolio Turnover", "2.42%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "ce421d0aeb7bde3bc92a6b87c09c510e"}
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};
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}
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}
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