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quantconnect--lean/Algorithm.CSharp/SecuritySessionWithDailyResolutionRegressionAlgorithm.cs
T
JosueNina f7ce35ae82
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Track OHLCV for Current Trading Day (#8922)
* Implement Session class

* Use MarketHourAwareConsolidator inside Session

* Delete SecurityCacheSessionConfig

* Refactor session class

* Solve review comments

* Fix regression algorithms

* Add null check to AvailableDataTypes

* Update session class

* Solve new review comments

* Add new test for futures and update regression test to PEP8

* Add new regression algorithm for Session with futures

* Resolve review comments

* Add local time keeper to SecurityCache

* Scan on consolidator updates and time updates

* Add new regression algorithms and unit tests

* Add unit tests and improve comments

* Fix syntax test

* Solve review comments

* Add regression algorithms

* Resolve review comments

* Make SessionConsolidator implement IDataConsolidator

* Add caching to avoid recreating SessionBar instances on every access

* Solve review comments

* Make SessionConsolidator inherit from MarketHourAwareConsolidator

* Add unit test to verify Session preserves previous day values

* Update regression algorithms

* Solve review comments

* Resolve review comments

* Solve new review comments

* Add unit test for Session class

* Refactor SessionBar properties and Update method

* Use WorkingDataInstance reference instead of _workingData.Clone()

* Use a delegate to get the workingBar instance

* Fix bug in MarketHourAwareConsolidator

* Solve review comments

* Handle OI values

* Add regression algorithms for future contracts and options

* Solve review comments

* Refactor SessionConsolidator to inherit PeriodCountConsolidatorBase

* Prevent overlapping higher resolution data

* Update tests

* Solve review comments

* Minor tweaks
2025-09-19 12:25:24 -05:00

70 lines
2.7 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
public class SecuritySessionWithDailyResolutionRegressionAlgorithm : SecuritySessionRegressionAlgorithm
{
protected override Resolution Resolution => Resolution.Daily;
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public override List<Language> Languages { get; } = new() { Language.CSharp };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public override long DataPoints => 48;
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Orders", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "100000"},
{"Net Profit", "0%"},
{"Sharpe Ratio", "0"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-8.91"},
{"Tracking Error", "0.223"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", ""},
{"Portfolio Turnover", "0%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}