Files
quantconnect--lean/Algorithm.CSharp/SecuritySessionWithChangeOfResolutionRegressionAlgorithm.cs
T
2026-07-13 13:02:50 +08:00

96 lines
3.6 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;
using System.Collections.Generic;
using QuantConnect.Data.UniverseSelection;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm to validate Security.Session functionality.
/// Verifies that daily session bars (Open, High, Low, Close, Volume) are correctly after resolution change
/// </summary>
public class SecuritySessionWithChangeOfResolutionRegressionAlgorithm : SecuritySessionRegressionAlgorithm
{
public override void OnSecuritiesChanged(SecurityChanges changes)
{
if (changes.RemovedSecurities.Count > 0)
{
Security = AddEquity("SPY", Resolution.Minute);
}
}
public override void OnEndOfDay(Symbol symbol)
{
if (UtcTime.Date == new DateTime(2013, 10, 7))
{
var session = Security.Session;
// Check before removal
if (session.Open != Open
|| session.High != High
|| session.Low != Low
|| session.Close != Close
|| session.Volume != Volume)
{
throw new RegressionTestException("Mismatch in current session bar (OHLCV)");
}
RemoveSecurity(symbol);
SecurityWasRemoved = true;
}
}
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public override long DataPoints => 3172;
/// <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"}
};
}
}