chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 13:02:50 +08:00
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/*
* 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.Linq;
namespace QuantConnect.Indicators
{
/// <summary>
/// This indicator computes the n-period target downside deviation. The target downside deviation is defined as the
/// root-mean-square, or RMS, of the deviations of the realized returns underperformance from the target return
/// where all returns above the target return are treated as underperformance of 0.
///
/// Reference: https://www.cmegroup.com/education/files/rr-sortino-a-sharper-ratio.pdf
/// </summary>
public class TargetDownsideDeviation : IndicatorBase<IndicatorDataPoint>, IIndicatorWarmUpPeriodProvider
{
/// <summary>
/// Minimum acceptable return (MAR) for target downside deviation calculation
/// </summary>
private readonly double _minimumAcceptableReturn;
/// <summary>
/// Calculates the daily returns
/// </summary>
private RateOfChange _rateOfChange;
/// <summary>
/// The warm-up period necessary before the TDD indicator is considered ready.
/// </summary>
public int WarmUpPeriod { get; }
/// <summary>
/// Gets a flag indicating when this indicator is ready and fully initialized
/// </summary>
public override bool IsReady => Samples >= WarmUpPeriod;
/// <summary>
/// Initializes a new instance of the TargetDownsideDeviation class with the specified period and
/// minimum acceptable return.
///
/// The target downside deviation is defined as the root-mean-square, or RMS, of the deviations of
/// the realized returns underperformance from the target return where all returns above the target
/// return are treated as underperformance of 0.
/// </summary>
/// <param name="period">The sample size of the target downside deviation</param>
/// <param name="minimumAcceptableReturn">Minimum acceptable return (MAR) for target downside deviation calculation</param>
public TargetDownsideDeviation(int period, double minimumAcceptableReturn = 0)
: this($"TDD({period},{minimumAcceptableReturn})", period, minimumAcceptableReturn)
{
}
/// <summary>
/// Initializes a new instance of the TargetDownsideDeviation class with the specified period and
/// minimum acceptable return.
///
/// The target downside deviation is defined as the root-mean-square, or RMS, of the deviations of
/// the realized returns underperformance from the target return where all returns above the target
/// return are treated as underperformance of 0.
/// </summary>
/// <param name="name">The name of this indicator</param>
/// <param name="period">The sample size of the target downside deviation</param>
/// <param name="minimumAcceptableReturn">Minimum acceptable return (MAR) for target downside deviation calculation</param>
public TargetDownsideDeviation(string name, int period, double minimumAcceptableReturn = 0) : base(name)
{
_minimumAcceptableReturn = minimumAcceptableReturn;
_rateOfChange = new RateOfChange(1);
// Resize the ROC's rolling window to hold recent 1-period returns to compute downside deviation
_rateOfChange.Window.Size = period;
WarmUpPeriod = period + 1;
}
/// <summary>
/// Computes the next value of this indicator from the given state
/// </summary>
/// <param name="input">The input given to the indicator</param>
/// <returns>A new value for this indicator</returns>
protected override decimal ComputeNextValue(IndicatorDataPoint input)
{
_rateOfChange.Update(input);
var avg = _rateOfChange.Window.Select(x => Math.Pow(Math.Min(0, (double)x.Value - _minimumAcceptableReturn), 2)).Average();
return Math.Sqrt(avg).SafeDecimalCast();
}
/// <summary>
/// Resets this indicator to its initial state
/// </summary>
public override void Reset()
{
_rateOfChange.Reset();
base.Reset();
}
}
}