Martin-Molinero
7879795207
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* Default daily precise end times - Enable by default daily precise end times. Updating stats - Minor fix for algorithm manager consolidator updates, adding new regression test asserting behavior and updating others - Minor fix for SubscriptionData creator avoid round down on warmup if not appropiate - Adjust consolidators to emit on daily strict end times if requested daily resolution and setting enabled - Updating regression algorithms * Skip daily data on extended market hours * Some cleanup and self review * Revert unrequired change
92 lines
3.5 KiB
C#
92 lines
3.5 KiB
C#
/*
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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.Collections.Generic;
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using QuantConnect.Securities.Option;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm exercising an equity covered European style option, using an option price model
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/// that does not support European style options and asserting that the option price model is not used.
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/// </summary>
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public class OptionPriceModelForUnsupportedEuropeanOptionRegressionAlgorithm : OptionPriceModelForOptionStylesBaseRegressionAlgorithm
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{
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public override void Initialize()
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{
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SetStartDate(2021, 1, 14);
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SetEndDate(2021, 1, 14);
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var option = AddIndexOption("SPX", Resolution.Hour);
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// BaroneAdesiWhaley model does not support European style options
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option.PriceModel = OptionPriceModels.BaroneAdesiWhaley();
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SetWarmup(7, Resolution.Daily);
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Init(option, optionStyleIsSupported: false);
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}
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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 => 114;
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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 => 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 override 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", "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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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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}
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