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 QuantConnect.Data.Market;
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namespace QuantConnect.Indicators
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{
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/// <summary>
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/// Represents the traditional commodity channel index (CCI)
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///
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/// CCI = (Typical Price - 20-period SMA of TP) / (.015 * Mean Deviation)
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/// Typical Price (TP) = (High + Low + Close)/3
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/// Constant = 0.015
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///
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/// There are four steps to calculating the Mean Deviation, first, subtract
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/// the most recent 20-period average of the typical price from each period's
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/// typical price. Second, take the absolute values of these numbers. Third,
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/// sum the absolute values. Fourth, divide by the total number of periods (20).
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/// </summary>
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public class CommodityChannelIndex : BarIndicator, IIndicatorWarmUpPeriodProvider
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{
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/// <summary>
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/// This constant is used to ensure that CCI values fall between +100 and -100, 70% to 80% of the time
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/// </summary>
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private const decimal K = 0.015m;
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/// <summary>
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/// Gets the type of moving average
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/// </summary>
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public MovingAverageType MovingAverageType { get; }
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/// <summary>
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/// Keep track of the simple moving average of the typical price
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/// </summary>
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public IndicatorBase<IndicatorDataPoint> TypicalPriceAverage { get; }
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/// <summary>
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/// Keep track of the mean absolute deviation of the typical price
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/// </summary>
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public IndicatorBase<IndicatorDataPoint> TypicalPriceMeanDeviation { get; }
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/// <summary>
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/// Initializes a new instance of the CommodityChannelIndex class
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/// </summary>
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/// <param name="period">The period of the standard deviation and moving average (middle band)</param>
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/// <param name="movingAverageType">The type of moving average to be used</param>
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public CommodityChannelIndex(int period, MovingAverageType movingAverageType = MovingAverageType.Simple)
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: this($"CCI({period})", period, movingAverageType)
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{
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}
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/// <summary>
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/// Initializes a new instance of the CommodityChannelIndex class
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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 standard deviation and moving average (middle band)</param>
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/// <param name="movingAverageType">The type of moving average to be used</param>
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public CommodityChannelIndex(string name, int period, MovingAverageType movingAverageType = MovingAverageType.Simple)
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: base(name)
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{
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WarmUpPeriod = period;
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MovingAverageType = movingAverageType;
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TypicalPriceAverage = movingAverageType.AsIndicator(name + "_TypicalPriceAvg", period);
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TypicalPriceMeanDeviation = new MeanAbsoluteDeviation(name + "_TypicalPriceMAD", period);
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}
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/// <summary>
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/// Gets a flag indicating when this indicator is ready and fully initialized
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/// </summary>
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public override bool IsReady => TypicalPriceAverage.IsReady && TypicalPriceMeanDeviation.IsReady;
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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 { get; }
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/// <summary>
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/// Computes the next value of this indicator from the given state
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/// </summary>
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/// <param name="input">The input given to the indicator</param>
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/// <returns>A new value for this indicator</returns>
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protected override decimal ComputeNextValue(IBaseDataBar input)
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{
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var typicalPrice = (input.High + input.Low + input.Close) / 3.0m;
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TypicalPriceAverage.Update(input.EndTime, typicalPrice);
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TypicalPriceMeanDeviation.Update(input.EndTime, typicalPrice);
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// compare this to zero, since if the mean deviation is very small we can get
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// precision errors due to non-floating point math
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var weightedMeanDeviation = K * TypicalPriceMeanDeviation.Current.Value;
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if (weightedMeanDeviation == 0.0m)
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{
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return 0.0m;
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}
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return (typicalPrice - TypicalPriceAverage.Current.Value).SafeDivision(weightedMeanDeviation, Current.Value);
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}
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/// <summary>
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/// Resets this indicator to its initial state
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/// </summary>
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public override void Reset()
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{
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TypicalPriceAverage.Reset();
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TypicalPriceMeanDeviation.Reset();
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base.Reset();
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}
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}
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}
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