chore: import upstream snapshot with attribution
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/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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namespace QuantConnect.Indicators
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{
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/// <summary>
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/// Represents the LogReturn indicator (LOGR)
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/// - log returns are useful for identifying price convergence/divergence in a given period
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/// - logr = log (current price / last price in period)
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/// </summary>
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public class LogReturn : WindowIndicator<IndicatorDataPoint>, IIndicatorWarmUpPeriodProvider
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{
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/// <summary>
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/// Required period, in data points, for the indicator to be ready and fully initialized.
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/// </summary>
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public int WarmUpPeriod => Period;
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/// <summary>
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/// Initializes a new instance of the LogReturn class with the specified name and period
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/// </summary>
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/// <param name="name">The name of this indicator</param>
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/// <param name="period">The period of the LOGR</param>
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public LogReturn(string name, int period)
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: base(name, period)
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{
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}
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/// <summary>
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/// Initializes a new instance of the LogReturn class with the default name and period
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/// </summary>
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/// <param name="period">The period of the SMA</param>
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public LogReturn(int period)
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: base($"LOGR({period})", period)
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{
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}
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/// <summary>
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/// Computes the next value for this indicator from the given state.
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/// - logr = log (current price / last price in period)
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/// </summary>
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/// <param name="window">The window of data held in this indicator</param>
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/// <param name="input">The input value to this indicator on this time step</param>
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/// <returns>A new value for this indicator</returns>
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protected override decimal ComputeNextValue(IReadOnlyWindow<IndicatorDataPoint> window, IndicatorDataPoint input)
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{
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var valuef = input;
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var value0 = window.Samples <= window.Size
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? window[window.Count - 1]
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: window.MostRecentlyRemoved;
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var result = Math.Log((double)(valuef.Value.SafeDivision(value0.Value)));
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if (result == Double.NegativeInfinity || result == Double.PositiveInfinity)
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{
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return 0;
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}
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return result.SafeDecimalCast();
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}
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}
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}
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