/*
* 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 QuantConnect.Data.Market;
using MathNet.Numerics.Statistics;
namespace QuantConnect.Indicators
{
///
/// In technical analysis Beta indicator is used to measure volatility or risk of a target (ETF) relative to the overall
/// risk (volatility) of the reference (market indexes). The Beta indicators compares target's price movement to the
/// movements of the indexes over the same period of time.
///
/// It is common practice to use the SPX index as a benchmark of the overall reference market when it comes to Beta
/// calculations.
///
/// The indicator only updates when both assets have a price for a time step. When a bar is missing for one of the assets,
/// the indicator value fills forward to improve the accuracy of the indicator.
///
public class Beta : DualSymbolIndicator
{
///
/// RollingWindow of returns of the target symbol in the given period
///
private readonly RollingWindow _targetReturns;
///
/// RollingWindow of returns of the reference symbol in the given period
///
private readonly RollingWindow _referenceReturns;
///
/// Gets a flag indicating when the indicator is ready and fully initialized
///
public override bool IsReady => _targetReturns.IsReady && _referenceReturns.IsReady;
///
/// Creates a new Beta indicator with the specified name, target, reference,
/// and period values
///
/// The name of this indicator
/// The target symbol of this indicator
/// The period of this indicator
/// The reference symbol of this indicator
public Beta(string name, Symbol targetSymbol, Symbol referenceSymbol, int period)
: base(name, targetSymbol, referenceSymbol, 2)
{
// Assert the period is greater than two, otherwise the beta can not be computed
if (period < 2)
{
throw new ArgumentException($"Period parameter for Beta indicator must be greater than 2 but was {period}.");
}
_targetReturns = new RollingWindow(period);
_referenceReturns = new RollingWindow(period);
WarmUpPeriod += (period - 2) + 1;
}
///
/// Creates a new Beta indicator with the specified target, reference,
/// and period values
///
/// The target symbol of this indicator
/// The period of this indicator
/// The reference symbol of this indicator
public Beta(Symbol targetSymbol, Symbol referenceSymbol, int period)
: this($"B({period})", targetSymbol, referenceSymbol, period)
{
}
///
/// Creates a new Beta indicator with the specified name, period, target and
/// reference values
///
/// The name of this indicator
/// The period of this indicator
/// The target symbol of this indicator
/// The reference symbol of this indicator
/// Constructor overload for backward compatibility.
public Beta(string name, int period, Symbol targetSymbol, Symbol referenceSymbol)
: this(name, targetSymbol, referenceSymbol, period)
{
}
///
/// Computes the returns with the new given data point and the last given data point
///
/// The collection of data points from which we want
/// to compute the return
/// The returns with the new given data point
private static double GetNewReturn(IReadOnlyWindow rollingWindow)
{
return (double)(rollingWindow[0].Close.SafeDivision(rollingWindow[1].Close) - 1);
}
///
/// Computes the beta value of the target in relation with the reference
/// using the target and reference returns
///
protected override decimal ComputeIndicator()
{
if (TargetDataPoints.IsReady)
{
_targetReturns.Add(GetNewReturn(TargetDataPoints));
}
if (ReferenceDataPoints.IsReady)
{
_referenceReturns.Add(GetNewReturn(ReferenceDataPoints));
}
var varianceComputed = _referenceReturns.Variance();
var covarianceComputed = _targetReturns.Covariance(_referenceReturns);
// Avoid division with NaN or by zero
var variance = !varianceComputed.IsNaNOrZero() ? varianceComputed : 1;
var covariance = !covarianceComputed.IsNaNOrZero() ? covarianceComputed : 0;
return (decimal)(covariance / variance);
}
///
/// Resets this indicator to its initial state
///
public override void Reset()
{
_targetReturns.Reset();
_referenceReturns.Reset();
base.Reset();
}
}
}