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;
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using QuantConnect.Interfaces;
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using QuantConnect.Data.Market;
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using System.Collections.Generic;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm asserting behavior of consolidators while using daily strict end time
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/// </summary>
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public class DailyStrictEndTimeConsolidatorsRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private int _consolidatorsDataResolutionCount;
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private int _consolidatorsDataTimeSpanCount;
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/// <summary>
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/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
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/// </summary>
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public override void Initialize()
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{
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SetStartDate(2013, 10, 07);
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SetEndDate(2013, 10, 11);
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AddEquity("SPY", Resolution.Minute);
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AddEquity("AAPL", Resolution.Daily, fillForward: false);
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Consolidate("AAPL", Resolution.Daily, AssertResolutionBasedDailyBars);
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Consolidate("SPY", Resolution.Daily, AssertResolutionBasedDailyBars);
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Consolidate("AAPL", QuantConnect.Time.OneDay, AssertTimeSpanBasedDailyBars);
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Consolidate("SPY", QuantConnect.Time.OneDay, AssertTimeSpanBasedDailyBars);
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}
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protected virtual void AssertResolutionBasedDailyBars(TradeBar bar)
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{
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Debug($"AssertResolutionBasedDailyBars({Time}): {bar}");
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_consolidatorsDataResolutionCount++;
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AssertDailyBar(bar);
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}
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protected virtual void AssertTimeSpanBasedDailyBars(TradeBar bar)
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{
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Debug($"AssertTimeSpanBasedDailyBars({Time}): {bar}");
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_consolidatorsDataTimeSpanCount++;
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if (bar.Symbol == "AAPL")
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{
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// underlying is daily, passes through, it will be daily strict end times, even if created as a timespan
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AssertDailyBar(bar);
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}
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else
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{
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if (bar.EndTime.Hour != 0 || bar.Period != QuantConnect.Time.OneDay)
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{
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throw new RegressionTestException($"{Time}: Unexpected daily time span based bar span {bar.EndTime}!");
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}
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}
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}
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private void AssertDailyBar(TradeBar bar)
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{
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if (Settings.DailyPreciseEndTime)
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{
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if (bar.EndTime.Hour != 16 || bar.Period != TimeSpan.FromHours(6.5))
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{
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throw new RegressionTestException($"{Time}: Unexpected daily resolution based bar span {bar.EndTime}!");
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}
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}
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else
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{
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if (bar.EndTime.Hour != 0 || bar.Period != QuantConnect.Time.OneDay)
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{
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throw new RegressionTestException($"{Time}: Unexpected daily resolution based bar span {bar.EndTime}!");
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}
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}
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}
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public override void OnEndOfAlgorithm()
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{
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if (_consolidatorsDataTimeSpanCount != 9)
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{
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throw new RegressionTestException($"Unexpected consolidator time span data count {_consolidatorsDataTimeSpanCount}!");
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}
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if (_consolidatorsDataResolutionCount != (9 + (Settings.DailyPreciseEndTime ? 1 : 0)))
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{
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throw new RegressionTestException($"Unexpected consolidator resolution data count {_consolidatorsDataResolutionCount}!");
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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 => 3948;
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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", "-8.91"},
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{"Tracking Error", "0.223"},
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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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