Category Trend  Published on 25/10/2023

WSO & WRO indicator

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Description

This custom oscillator is based on the 'Automated Support And Resistance' concept from an article by Mel Widner published in TASC.

The indicator consists of two components: the WSO (Widner Support Oscillator) and the WRO (Widner Resistance Oscillator).

The WSO compares the current Close with the six most recent support levels. Values range from 0 to 100. WSO = 0 indicates that the Close is below all six support levels, while WSO = 100 indicates that the current Close is above all six support levels. Changes in WSO indicate shifts in support, either breaking an old level or establishing a new one.

A similar concept applies to the WRO. The WRO compares the current Close with the six most recent resistance levels. Values also range from 0 to 100. WRO = 0 means that the Close is below all six resistance levels, and WRO = 100 means that the current Close is above all six resistance levels. Changes in WRO indicate changes in resistance, which can involve breaking an old level or establishing a new one.

using System;
using cAlgo.API;
using cAlgo.API.Internals;
using cAlgo.API.Indicators;
using cAlgo.Indicators;

namespace cAlgo
{
    [Levels(0, 50, 100)]
    [Indicator(IsOverlay = false, TimeZone = TimeZones.UTC, AccessRights = AccessRights.None)]
    public class mWsoWro : Indicator
    {
        [Parameter("Periods (9)", DefaultValue = 9)]
        public int inpPeriod { get; set; }

        [Output("WSO Support", LineColor = "Green", PlotType = PlotType.Line, Thickness = 2)]
        public IndicatorDataSeries outWSO { get; set; }
        [Output("WRO Resistance", LineColor = "Red", PlotType = PlotType.Line, Thickness = 2)]
        public IndicatorDataSeries outWRO { get; set; }

        private IndicatorDataSeries _wso, _wro;
        private double[] _min, _max;
        private int centerid;
        

        protected override void Initialize()
        {
            _min = new double[6];
            _max = new double[6];
            _wso = CreateDataSeries();
            _wro = CreateDataSeries();
            centerid = Convert.ToInt16((inpPeriod - 1) / 2); //4
        }

        public override void Calculate(int i)
        {
            if(Bars.LowPrices.Minimum(inpPeriod) == Bars.LowPrices[i-centerid])
            {
                 _min[5] = _min[4];
                 _min[4] = _min[3];
                 _min[3] = _min[2];
                 _min[2] = _min[1];
                 _min[1] = _min[0];
                 _min[0] = Bars.LowPrices[i-centerid];
            }
            
            if(Bars.HighPrices.Maximum(inpPeriod) == Bars.HighPrices[i-centerid])
            {
                 _max[5] = _max[4];
                 _max[4] = _max[3];
                 _max[3] = _max[2];
                 _max[2] = _max[1];
                 _max[1] = _max[0];
                 _max[0] =  Bars.HighPrices[i-centerid];
            }
            
            _wso[i] = 100 * (1 -
                        ( Sigmo(_min[0] / Bars.ClosePrices[i])
                        + Sigmo(_min[1] / Bars.ClosePrices[i])
                        + Sigmo(_min[2] / Bars.ClosePrices[i])
                        + Sigmo(_min[3] / Bars.ClosePrices[i])
                        + Sigmo(_min[4] / Bars.ClosePrices[i])
                        + Sigmo(_min[5] / Bars.ClosePrices[i])
                        ) / 6.0);
                        
            _wro[i] = 100 * (1 -
                        ( Sigmo(_max[0] / Bars.ClosePrices[i])
                        + Sigmo(_max[1] / Bars.ClosePrices[i])
                        + Sigmo(_max[2] / Bars.ClosePrices[i])
                        + Sigmo(_max[3] / Bars.ClosePrices[i])
                        + Sigmo(_max[4] / Bars.ClosePrices[i])
                        + Sigmo(_max[5] / Bars.ClosePrices[i])
                        ) / 6.0);
                        
            outWSO[i] = _wso[i];
            outWRO[i] = _wro[i];
        }
        
        private double Sigmo(double inValue)
        {
            return(inValue >= 1.0 ? 1 : 0);
        }
    }
}



mfejza's avatar
mfejza

Joined on 25.01.2022

  • Distribution: Free
  • Language: C#
  • Trading platform: cTrader Automate
  • File name: mWsoWro.algo
  • Rating: 5
  • Installs: 672
  • Modified: 25/10/2023 16:36