Category Oscilators Published on 08/05/2024

The Stoch

Description

The Stoch

You are already familiar with the limitations of the traditional stochastic. So, here's 'The Stoch':

It analyzes candlesticks using HighPrice and LowPrice, providing an optimal reading of new highs and lows.
A new concept that dynamically increases the stochastic calculation periods at each bar once a specific threshold is crossed.

This Stochastique indicator provides advanced stochastic analysis by combining two sets of calculations: an initial stochastic indicator with user-defined periods, and a more accurate stochastic indicator that dynamically adjusts its periods based on detected trends. Here's what the different results display:

Initial Stochastic (ResultInit and SignalInit):

ResultInit: Shows the %K line, representing the primary stochastic value.
SignalInit: Shows the %D signal line, which is a moving average of %K.
These lines provide a classic stochastic representation based on the periods defined in the initial parameters.

Accurate Stochastic (StochAccuRes, StochAccuUp, StochAccuDown, SignalAccu):

StochAccuRes: Displays the %K line for the dynamically adjusted accurate stochastic.
StochAccuUp and StochAccuDown: Show the adjusted %K lines, depending on the upward or downward trend.
SignalAccu: Displays the corresponding %D signal line, based on a moving average of %K.

Overbought and Oversold Levels (LevelUp and LevelDown):

LevelUp: Plots a fixed level (default: 70) indicating the overbought threshold.
LevelDown: Plots another fixed level (default: 30) indicating the oversold threshold.

Interpretation of Results:

If the %K line (initial or accurate) crosses above the overbought level (LevelUp) for the first time, it signals the birth of an upward trend.
If %K drops below the oversold level (LevelDown) for the first time, it signals the birth of a downward trend.
The accurate stochastic adjusts periods to capture trend changes more effectively.

In summary, the indicator provides both traditional and dynamic stochastic analysis, offering better adaptability to market conditions.

On telegram : https://t.me/nimi012 (direct messaging)

Source Code


using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using cAlgo.API;
using cAlgo.API.Collections;
using cAlgo.API.Indicators;
using cAlgo.API.Internals;

namespace cAlgo
{
    [Indicator(IsOverlay = false, AccessRights = AccessRights.None)]
    public class TheStochv10 : Indicator
    {
        [Parameter(DefaultValue = 255, Group = "Initial Stoch")]
        public int KPeriodInit { get; set; }
        [Parameter(DefaultValue = 3, Group = "Initial Stoch")]
        public int KSlowingInit { get; set; }
        [Parameter(DefaultValue = 34, Group = "Initial Stoch")]
        public int DPeriodInit { get; set; }

        [Parameter(DefaultValue = MovingAverageType.Weighted, Group = "Initial Stoch")]
        public MovingAverageType MaTypeInit { get; set; }

        [Parameter(DefaultValue = 9, Group = "Accurate Stoch")]
        public int MinPeriodAccu { get; set; }
        [Parameter(DefaultValue = 3, Group = "Accurate Stoch")]
        public int KSlowingAccu { get; set; }
        [Parameter(DefaultValue = 21, Group = "Accurate Stoch")]
        public int DPeriodAccu { get; set; }
        [Parameter(DefaultValue = MovingAverageType.Weighted, Group = "Accurate Stoch")]
        public MovingAverageType MaTypeAccu { get; set; }

        [Parameter(DefaultValue = 98, Group = "Start Trend Level Stoch")]
        public int TrendStartLevelUp { get; set; }
        [Parameter(DefaultValue = 2, Group = "Start Trend Level Stoch")]
        public int TrendStartLevelDown { get; set; }

        [Parameter(DefaultValue = 70, Group = "OverBuy/Sell Level")]
        public int OverBuy { get; set; }
        [Parameter(DefaultValue = 30, Group = "OverBuy/Sell Level")]
        public int OverSell { get; set; }

        [Output("LevelUp", LineColor = "Red", PlotType = PlotType.Line, LineStyle = LineStyle.Solid)]
        public IndicatorDataSeries LevelUp { get; set; }
        [Output("LevelDown", LineColor = "Lime", PlotType = PlotType.Line, LineStyle = LineStyle.Solid)]
        public IndicatorDataSeries LevelDown { get; set; }

        [Output("Stoch Init", LineColor = "Lime", PlotType = PlotType.Line, LineStyle = LineStyle.Dots)]
        public IndicatorDataSeries ResultInit { get; set; }
        [Output("Signal Init", LineColor = "Red", PlotType = PlotType.Line, LineStyle = LineStyle.Dots)]
        public IndicatorDataSeries SingalInit { get; set; }

        [Output("StochAccu", LineColor = "Gray", PlotType = PlotType.Line)]
        public IndicatorDataSeries StochAccuRes { get; set; }
        [Output("StochAccuUp", LineColor = "Lime", PlotType = PlotType.DiscontinuousLine)]
        public IndicatorDataSeries StochAccuUp { get; set; }
        [Output("StochAccuDown", LineColor = "Red", PlotType = PlotType.DiscontinuousLine)]
        public IndicatorDataSeries StochAccuDown { get; set; }
        [Output("SiganlAccu", LineColor = "Gold", PlotType = PlotType.DiscontinuousLine)]
        public IndicatorDataSeries SignalAccu { get; set; }

        private IndicatorDataSeries highData, medData, lowData, res1, res2;
        private IndicatorDataSeries highData2, medData2, lowData2;
        private MovingAverage kslowInit, dslowInit, kslowAccu, dslowAccu;

        private int CountUp;
        private int CountDown;

        private int indexUp;
        private int indexDown;

        private bool StartCountUp;
        private bool StartCountDown;

        protected override void Initialize()
        {
            highData = CreateDataSeries();
            medData = CreateDataSeries();
            lowData = CreateDataSeries();
            res1 = CreateDataSeries();
            res2 = CreateDataSeries();
            kslowInit = Indicators.MovingAverage(res1, KSlowingInit, MaTypeInit);
            dslowInit = Indicators.MovingAverage(kslowInit.Result, DPeriodInit, MaTypeInit);
            kslowAccu = Indicators.MovingAverage(res2, KSlowingAccu, MaTypeAccu);
            dslowAccu = Indicators.MovingAverage(kslowAccu.Result, DPeriodAccu, MaTypeAccu);

            highData2 = CreateDataSeries();
            medData2 = CreateDataSeries();
            lowData2 = CreateDataSeries();

            CountUp = 0;
            CountDown = 0;
            StartCountUp = false;
            StartCountDown = false;
        }

        public override void Calculate(int index)
        {
            highData[index] = (Bars.HighPrices.Last(0) - Bars.LowPrices.Minimum(KPeriodInit)) / (Bars.HighPrices.Maximum(KPeriodInit) - Bars.LowPrices.Minimum(KPeriodInit)) * 100;
            medData[index] = (Bars.MedianPrices.Last(0) - Bars.LowPrices.Minimum(KPeriodInit)) / (Bars.HighPrices.Maximum(KPeriodInit) - Bars.LowPrices.Minimum(KPeriodInit)) * 100;
            lowData[index] = (Bars.LowPrices.Last(0) - Bars.LowPrices.Minimum(KPeriodInit)) / (Bars.HighPrices.Maximum(KPeriodInit) - Bars.LowPrices.Minimum(KPeriodInit)) * 100;

            res1[index] = medData[index];
            ResultInit[index] = kslowInit.Result.Last(0);
            SingalInit[index] = dslowInit.Result.Last(0);

            LevelUp[index] = OverBuy;
            LevelDown[index] = OverSell;

            if (medData[index] > TrendStartLevelUp)
            {
                StartCountDown = false;
                StartCountUp = true;
            }
            else if (medData[index] < TrendStartLevelDown)
            {
                StartCountUp = false;
                StartCountDown = true;
            }

            if (StartCountUp && indexUp < index)
            {
                CountUp++;
                CountDown = 0;
                var period = MinPeriodAccu >= CountUp ? MinPeriodAccu : CountUp;
                highData2[index] = (Bars.HighPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;
                medData2[index] = (Bars.MedianPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;
                lowData2[index] = (Bars.LowPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;

                res2[index] = lowData2[index];
                StochAccuUp[index] = kslowAccu.Result.Last(0);

                indexUp = index;

            }
            else if (StartCountDown && indexDown < index)
            {
                CountDown++;
                CountUp = 0;
                var period = MinPeriodAccu >= CountDown ? MinPeriodAccu : CountDown;

                highData2[index] = (Bars.HighPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;
                medData2[index] = (Bars.MedianPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;
                lowData2[index] = (Bars.LowPrices.Last(0) - Bars.LowPrices.Minimum(period)) / (Bars.HighPrices.Maximum(period) - Bars.LowPrices.Minimum(period)) * 100;

                res2[index] = highData2[index];
                StochAccuDown[index] = kslowAccu.Result.Last(0);

                indexDown = index;
            }

            StochAccuRes[index] = kslowAccu.Result.Last(0);
            SignalAccu[index] = dslowAccu.Result.Last(0);


        }
    }
}

YesOrNot

Joined on 10.10.2022 Blocked

Distribution: Free
Language: C#
Trading platform: cTrader Automate
File name: The Stoch v1.0.algo
Rating: 0
Installs: 90
Modified: 08/05/2024 20:27

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