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 QuantConnect.Data;
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using QuantConnect.Interfaces;
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using System;
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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 to assert we can have custom data subscriptions with different exchanges
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/// </summary>
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public class CustomDataWorksWithDifferentExchangesRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private bool _noDataPointsReceived;
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public override void Initialize()
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{
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SetStartDate(2014, 05, 02);
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SetEndDate(2014, 05, 03);
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var market1 = AddForex("EURUSD", Resolution.Hour, Market.FXCM);
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var firstCustomSecurity = AddData<ExampleCustomData>(market1.Symbol, Resolution.Hour, TimeZones.Utc, false);
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if (firstCustomSecurity.Exchange.TimeZone != TimeZones.Utc)
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{
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throw new RegressionTestException($"The time zone of security {firstCustomSecurity} should be {TimeZones.Utc}, but it was {firstCustomSecurity.Exchange.TimeZone}");
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}
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var market2 = AddForex("EURUSD", Resolution.Hour, Market.Oanda);
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var secondCustomSecurity = AddData<ExampleCustomData>(market2.Symbol, Resolution.Hour, TimeZones.Utc, false);
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if (secondCustomSecurity.Exchange.TimeZone != TimeZones.Utc)
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{
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throw new RegressionTestException($"The time zone of security {secondCustomSecurity} should be {TimeZones.Utc}, but it was {secondCustomSecurity.Exchange.TimeZone}");
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}
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_noDataPointsReceived = true;
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}
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public override void OnData(Slice slice)
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{
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_noDataPointsReceived = false;
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if (slice.Count != ActiveSecurities.Count)
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{
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throw new RegressionTestException($"{ActiveSecurities.Count.ToString().ToCamelCase()} data points were expected, but only {slice.Count} were received");
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}
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}
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public override void OnEndOfAlgorithm()
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{
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if (_noDataPointsReceived)
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{
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throw new RegressionTestException($"No points were received");
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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 => 94;
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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 => 5;
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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", "100000.00"},
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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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{"Drawdown Recovery", "0"},
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{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
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};
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}
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public class ExampleCustomData : BaseData
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{
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private int _hours { get; set; }
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public decimal Open { get; set; }
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public decimal High { get; set; }
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public decimal Low { get; set; }
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public decimal Close { get; set; }
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public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
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{
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var source = "https://www.dl.dropboxusercontent.com/s/d83xvd7mm9fzpk0/path_to_my_csv_data.csv?dl=0";
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return new SubscriptionDataSource(source, SubscriptionTransportMedium.RemoteFile, FileFormat.Csv);
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}
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public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
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{
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var csv = line.Split(",");
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var data = new ExampleCustomData()
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{
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Symbol = config.Symbol,
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Time = date.AddHours(_hours),
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Value = csv[4].ToDecimal(),
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Open = csv[1].ToDecimal(),
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High = csv[2].ToDecimal(),
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Low = csv[3].ToDecimal(),
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Close = csv[4].ToDecimal()
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};
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_hours = (_hours + 1) % 22;
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return data;
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}
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}
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}
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