Files
quantconnect--lean/Algorithm.CSharp/BasicTemplateFuturesHourlyAlgorithm.cs
T
Martin-Molinero 15e399c96b
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Live T-1 selection warmup (#6395)
* Live T-1 selection warmup

- Only use BaseDataCollection class
- Reuse collection enumerator
- Remove FuturesChainUniverseSubscriptionEnumeratorFactory
- Universe selection will use Cache providers
- Add null reference check
- Add more tests
- Fixes for warmup fill forwarding. Add more tests

* Address reviews. Add missing comments
2022-06-10 17:25:20 -03:00

107 lines
4.3 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 System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This regressions tests the BasicTemplateFuturesDailyAlgorithm with hour data
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="benchmarks" />
/// <meta name="tag" content="futures" />
public class BasicTemplateFuturesHourlyAlgorithm : BasicTemplateFuturesDailyAlgorithm
{
private Symbol _contractSymbol;
protected override Resolution Resolution => Resolution.Hour;
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public override bool CanRunLocally { get; } = true;
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public override Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public override long DataPoints => 205553;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public override int AlgorithmHistoryDataPoints => 0;
/// <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 Trades", "1988"},
{"Average Win", "0.01%"},
{"Average Loss", "0.00%"},
{"Compounding Annual Return", "-4.120%"},
{"Drawdown", "4.200%"},
{"Expectancy", "-0.870"},
{"Net Profit", "-4.150%"},
{"Sharpe Ratio", "-6.061"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "97%"},
{"Win Rate", "3%"},
{"Profit-Loss Ratio", "2.92"},
{"Alpha", "-0.027"},
{"Beta", "-0.006"},
{"Annual Standard Deviation", "0.005"},
{"Annual Variance", "0"},
{"Information Ratio", "-1.66"},
{"Tracking Error", "0.089"},
{"Treynor Ratio", "4.919"},
{"Total Fees", "$3677.80"},
{"Estimated Strategy Capacity", "$2000.00"},
{"Lowest Capacity Asset", "ES VP274HSU1AF5"},
{"Fitness Score", "0.128"},
{"Kelly Criterion Estimate", "0"},
{"Kelly Criterion Probability Value", "0"},
{"Sortino Ratio", "-6.856"},
{"Return Over Maximum Drawdown", "-0.995"},
{"Portfolio Turnover", "0.648"},
{"Total Insights Generated", "0"},
{"Total Insights Closed", "0"},
{"Total Insights Analysis Completed", "0"},
{"Long Insight Count", "0"},
{"Short Insight Count", "0"},
{"Long/Short Ratio", "100%"},
{"Estimated Monthly Alpha Value", "$0"},
{"Total Accumulated Estimated Alpha Value", "$0"},
{"Mean Population Estimated Insight Value", "$0"},
{"Mean Population Direction", "0%"},
{"Mean Population Magnitude", "0%"},
{"Rolling Averaged Population Direction", "0%"},
{"Rolling Averaged Population Magnitude", "0%"},
{"OrderListHash", "87d2b127c9859cad9d2c65ac9d76deb5"}
};
}
}