Stochastic RSI free

by o6h58zs in category Oscilator at 27/08/2022

Akin to the Stochastic Oscillator, the Stochastic RSI is a technical indicator which oscillates according to change in the RSI (rather than price). It works by taking a moving average of the cumulative changes in the RSI over a given time period. The K% line is a series of values calculated by the formula: 

100 x (current close - max. of RSI in given period) / (max. - min. of RSI in given period).
The D% line is a moving average over a given period of the K% line, which results in a smoother, less sensitive curve. A popular strategy is trading the crosses between the K% and D% lines according to the current market sentiment.

This is slightly different to qualitiedx2's versions (#1 and #2) of the Stochastic RSI, which are unfamiliar to me - please do let me know if I've given this an incorrect title. My implementation is similar to that described here and here (like the one on TradingView's platform).


27/08/2022 - added missing getters and setters to attributes.

28/08/2022 - removed deprecated 'PersentsK' and 'PersentsD' and implementation of the StochasticOscillator interface. Added cloud. Fixed code style. Added indicator attributes.


For scalping on very short timeframes (<M5), it is recommended to use a Stochastic Length of '8'. 


AUDUSD, M1: Settings (3, 3, 14, 8, MovingAverageType.Simple)


AUDUSD, M5: Settings (3, 3, 14, 14, MovingAverageType.Simple)


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Formula / Source Code
Language: C#
Trading Platform: cAlgocTrader
using cAlgo.API;
using cAlgo.API.Indicators;

namespace cAlgo
    [Levels(0, 50, 100)]
    [Cloud("%K", "%D", FirstColor = "Aquamarine", Opacity = 0.09, SecondColor = "Tomato")]

    [Indicator(IsOverlay = false, AccessRights = AccessRights.None)]
    public class StochasticRSI : Indicator  {
        // Indicators
        private MovingAverage smoothedK { get; set; }
        private MovingAverage smoothedD { get; set; }
        private RelativeStrengthIndex rsi{ get; set; }
        // Series for k to be updated in Calculate()
        private IndicatorDataSeries kSeries { get; set; }

        // Parameters
        [Parameter("K Periods", DefaultValue = 3, MinValue = 1)]
        public int KPeriods { get; set; }

        [Parameter("D Periods", DefaultValue = 3, MinValue = 1)]
        public int DPeriods { get; set; }
        [Parameter("RSI Length", DefaultValue = 14, MinValue = 1)]
        public int RSILength { get; set; }
        //* Change to 8 for M1 scalping *//
        [Parameter("Stochastic Length", DefaultValue = 14, MinValue = 1)]
        public int StochLength { get; set; }

        [Parameter("MA Type", DefaultValue = MovingAverageType.Simple)]
        public MovingAverageType MAType { get; set; }

        // Output plots
        [Output("%K", Color = Colors.Aquamarine, LineStyle = LineStyle.Solid)]
        public IndicatorDataSeries PercentK { get; set; }
        [Output("%D", Color = Colors.Tomato, LineStyle = LineStyle.Solid)]
        public IndicatorDataSeries PercentD { get; set; }

        protected override void Initialize() {
            rsi = Indicators.RelativeStrengthIndex(MarketSeries.Close, RSILength);
            kSeries = CreateDataSeries();

        public override void Calculate(int index) {
            var lowestLow = rsi.Result.Minimum(KPeriods);
            var highestHigh = rsi.Result.Maximum(KPeriods);
            var currentClose = rsi.Result[index];
            var kVal = 100 * (currentClose - lowestLow) / (highestHigh - lowestLow);
            kSeries[index] = kVal;
            smoothedK = Indicators.MovingAverage(kSeries, KPeriods, MAType);
            PercentK[index] = smoothedK.Result[index];
            smoothedD = Indicators.MovingAverage(PercentK, DPeriods, MAType);
            PercentD[index] = smoothedD.Result[index];

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