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 consolidation happing flushed due to scan calls
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/// </summary>
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public class ConsolidateScanRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private readonly Queue<DateTime> _consolidationDaily = new();
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private readonly Queue<DateTime> _consolidationHourly = new();
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private readonly Queue<DateTime> _consolidation2Days = new();
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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, 10);
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AddEquity("SPY", Resolution.Hour);
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Consolidate("SPY", Resolution.Daily, (TradeBar bar) =>
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{
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Debug($"Consolidated.Daily: {Time} {bar}");
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var expectedTime = _consolidationDaily.Dequeue();
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if (expectedTime != Time)
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{
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throw new RegressionTestException($"Unexpected consolidation time {expectedTime} != {Time}");
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}
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if (!Portfolio.Invested)
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{
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SetHoldings("SPY", 1);
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}
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});
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_consolidationDaily.Enqueue(new DateTime(2013, 10, 7, 16, 0, 0));
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_consolidationDaily.Enqueue(new DateTime(2013, 10, 8, 16, 0, 0));
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_consolidationDaily.Enqueue(new DateTime(2013, 10, 9, 16, 0, 0));
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_consolidationDaily.Enqueue(new DateTime(2013, 10, 10, 16, 0, 0));
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Consolidate("SPY", TimeSpan.FromHours(3), (TradeBar bar) =>
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{
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Debug($"Consolidated.FromHours(3): {Time} {bar}");
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var expectedTime = _consolidationHourly.Dequeue();
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if (expectedTime != Time)
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{
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throw new RegressionTestException($"Unexpected consolidation time {expectedTime} != {Time} 3 hours");
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}
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});
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 7, 12, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 7, 15, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 7, 18, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 8, 12, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 8, 15, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 8, 18, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 9, 12, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 9, 15, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 9, 18, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 10, 12, 0, 0));
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_consolidationHourly.Enqueue(new DateTime(2013, 10, 10, 15, 0, 0));
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Consolidate("SPY", TimeSpan.FromDays(2), (TradeBar bar) =>
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{
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Debug($"Consolidated.2Days: {Time} {bar}");
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var expectedTime = _consolidation2Days.Dequeue();
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if (expectedTime != Time)
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{
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throw new RegressionTestException($"Unexpected consolidation time {expectedTime} != {Time} 2 days");
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}
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});
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_consolidation2Days.Enqueue(new DateTime(2013, 10, 9, 9, 0, 0));
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}
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public override void OnEndOfAlgorithm()
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{
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if (_consolidationDaily.Count != 0 || _consolidationHourly.Count != 0 || _consolidation2Days.Count != 0)
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{
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throw new RegressionTestException($"Unexpected consolidation count");
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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 => 64;
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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", "1"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "186.478%"},
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{"Drawdown", "1.500%"},
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{"Expectancy", "0"},
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{"Start Equity", "100000"},
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{"End Equity", "101062.91"},
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{"Net Profit", "1.063%"},
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{"Sharpe Ratio", "5.448"},
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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", "-0.055"},
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{"Beta", "1.003"},
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{"Annual Standard Deviation", "0.272"},
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{"Annual Variance", "0.074"},
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{"Information Ratio", "-33.89"},
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{"Tracking Error", "0.001"},
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{"Treynor Ratio", "1.479"},
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{"Total Fees", "$3.45"},
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{"Estimated Strategy Capacity", "$130000000.00"},
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{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
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{"Portfolio Turnover", "25.24%"},
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{"Drawdown Recovery", "2"},
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{"OrderListHash", "bbda6d0a04ae0b87b2fa10e036296cbb"}
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};
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}
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}
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