/* * 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(); } } }