Files
quantconnect--lean/Algorithm.CSharp/IndexOptionIndicatorsRegressionAlgorithm.cs
T
Martin-Molinero 12644f8b2a Minor fixes for IndicatorHistory and IV (#8174)
* Minor fixes for IndicatorHistory and IV

- Minor fix for IndicatorHistory, use ScaledRaw data normalization mode
  for option indicators. Adding unit test
- Expand the IV expected upper range to 400%, given values can be higher
  than previous value of 200%
- Adjust IV to use smoothing function only when both option calculations
  succeed

* Updating regression algorithm expected greeks, minor change
2024-07-09 10:54:55 -03:00

82 lines
3.2 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;
namespace QuantConnect.Algorithm.CSharp
{
public class IndexOptionIndicatorsRegressionAlgorithm : OptionIndicatorsRegressionAlgorithm
{
protected override string ExpectedGreeks { get; set; } = "Implied Volatility: 0.18072,Delta: 0.1897,Gamma: 0.00246,Vega: 1.7607,Theta: -1.43923,Rho: 0.01673";
public override void Initialize()
{
SetStartDate(2021, 1, 4);
SetEndDate(2021, 1, 4);
var underlying = AddIndex("SPX", Resolution.Minute).Symbol;
var option = QuantConnect.Symbol.CreateOption(underlying, Market.USA, OptionStyle.European, OptionRight.Call, 3800m, new DateTime(2021, 1, 15));
AddOptionContract(option, Resolution.Minute);
InitializeIndicators(option);
}
/// <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 => 1637;
/// <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", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", ""},
{"Portfolio Turnover", "0%"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}