Files
quantconnect--lean/Algorithm.CSharp/BasicTemplateIndexOptionsHourlyAlgorithm.cs
T
Ricardo Andrés Marino Rojas b4bad69772
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Dynamically Adjust Risk Free Rate of Return (#7489)
* First attempt to solve the bug

* Enhance implementation

* Enhance implementation

* Simplify implementation

* Rebase regression stats

* Solve unit test bugs

* Review

* Update Rolling.Sharpe() method

* Update regression stats

* Update unit tests

* Update missing regression algos

* Update Rolling.cs

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
2023-10-02 13:42:28 -03:00

80 lines
3.1 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
{
/// <summary>
/// Regression for running an IndexOptions algorithm with Hourly data
/// </summary>
public class BasicTemplateIndexOptionsHourlyAlgorithm : BasicTemplateIndexOptionsDailyAlgorithm
{
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 };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public override long DataPoints => 2143;
/// <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", "72"},
{"Average Win", "0.00%"},
{"Average Loss", "0.00%"},
{"Compounding Annual Return", "-0.006%"},
{"Drawdown", "0.000%"},
{"Expectancy", "-0.486"},
{"Net Profit", "0.000%"},
{"Sharpe Ratio", "-101.77"},
{"Probabilistic Sharpe Ratio", "17.439%"},
{"Loss Rate", "97%"},
{"Win Rate", "3%"},
{"Profit-Loss Ratio", "17.50"},
{"Alpha", "-0.003"},
{"Beta", "-0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-0.449"},
{"Tracking Error", "0.138"},
{"Treynor Ratio", "116.921"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"},
{"Portfolio Turnover", "0.00%"},
{"OrderListHash", "0df3713aeb32e9c0738200f2a109e2f9"}
};
}
}