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Turning Point Detector MT4

5

Introduction To Turning Point Indicator

The trajectories of Financial Market movement are very much like the polynomial curvatures with the presence of random fluctuations. It is quite common to read that scientist can decompose the financial data into many different cyclic components. If or any if the financial market possess at least one cycle, then the turning point must be present for that financial market data. With this assumption, most of financial market data should possesses the multiple of turning points because they consists of many cyclic components typically. Here, we present the useful turning point detector not bullet proof but with reasonable accuracy for traders and investors.


Input Description

Our turning point detector consists of abnormal movement detection system (main) and market range detector (supplementary). Abnormal movement detection have following user inputs:

  • TimeFrameCalculation: Timeframe to perform abnormal movement detection.
  • BarsToScan: number of bars to apply the calculation
  • DetectionMethod: There are three detection methods you can choose.
  • AnalyzingPeriod: 13 is the default settings. Most of time, default setting works fine.
  • MinDeviationInPips (=Minimum Deviation in Pips): this is the minimum condition to be qualified for abnormal condition. Typically, it is good to use one standard deviation of that currency pairs.

To detect market range, you can use Market Profile or Bollinger Bands or something else if you wish, the market profile have the following user inputs:

  • Use Market Profile: true or false only. Set false, not to use Market Profile
  • Session: daily, weekly or monthly only
  • Sessions To Count: Number of sessions for which to count the Market Profile

To construct the Market Profile, user should select timeframe accordingly:

  • Daily Market Profile: M5 to H1 timeframe can be used. M30 is recommended.
  • Weekly Market Profile: M30 to H4 timeframe can be used. H1 is recommended.
  • Monthly Market Profile: H1 to D1 timeframe can be used. H4 is recommended.

There are also some other inputs:

  • UseWhiteChart: true of false to set white background or use default black background chart
  • UseSoundAlert: Use sound alert
  • UseEmailAlert: Use email alert
  • UseNotification: Use Push Notification
  • BullishColor: Bullish Colour
  • BearishColor: Bearish Colour
  • LabelOffsetInPercent: timeframe label (i.e. H1, H4, D1, etc) offset in percentage of chart height
  • ArrowWidth: directional arrow width
  • LineWidth: Width of line for abnormal movement marker (Set to 0, disable the marker)
  • DrawRectangle: Draw rectangle to market abnormal movement
  • FillRectangle: Fill Rectangle (true or false only)


How to Use

You might use the default setting for minimum deviation in pips. According to our experience, you can set sensible number for minimum deviation in pips such as one standard deviation or some commonly used values. For example, 20 pips (MinDeviationInPips) works well for major currency pairs in H1 timeframe. Detected abnormal movement is good sign of turning point. However, we recommend using it when the arrow appears reasonably outside the range. Also you might use several turning point detector with several time frame to one chart. For example, you can apply our Turning Point Detector in H1 and D1 timeframe to one chart. When you use multiple timeframe calculation, you must use sensible timeframe for Market profile too.


Trading Strategy Guide

Must understand that our Turning Point Detector is not the bullet proof system. If this system is carefully used with additional judgement, then this can become your favourite turning point indicator and can become part or all of your strategy. Please check it in the strategy tester before buying. You can use our Turning Point Detector alone or you can combine the Turning Point Detector with any of below trading system:

Volume Spread Analysis

Harmonic Pattern Detection Indicator

Momentum Indicator

Supply Demand Indicator

Triangle Pattern, Falling Wedge Pattern, Rising Wedge Pattern and Channel

Elliott Wave Indicator


Important Note

This is the off the shelf product. Therefore, we do not accept any modification or customization request on this product. In addition, we do not provide any code library or any support for your coding for this product.


Reviews 4
jerrylew2020
294
jerrylew2020 2022.09.22 12:15 
 

I have been using this indicator for for almost a year. It gives me a lot of good information. This indicator helps me to make better trades, especially reversals. I would recommend this product.

Iwan Iskandar
706
Iwan Iskandar 2016.11.26 17:34 
 

Thank you for this excellent indicator. Excellent tool for setting up my take profit target.

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Introduction Excessive Momentum Indicator is the momentum indicator to measure the excessive momentum directly from raw price series. Hence, this is an extended price action and pattern trading. Excessive Momentum Indicator was originally developed by Young Ho Seo. This indicator demonstrates the concept of Equilibrium Fractal Wave and Practical Application at the same time. Excessive Momentum detects the market anomaly. Excessive momentum will give us a lot of clue about potential reversal and
Introduction Harmonic Patterns are best used to predict potential turning point. Traditionally, Harmonic Pattern was identified manually connecting peaks and troughs points in the chart. Manual harmonic pattern detection is painfully tedious and not suitable for everyone. You are often exposed under subjective pattern identification with manual pattern detection. To avoid these limitations, Harmonic Pattern Plus was designed to automate your harmonic pattern detection process. The functionality
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Peak Trough Analysis is the great tool to detect peaks and troughs in your chart. Peak Trough Analysis tool can use three different peaks and troughs detection algorithm. The three algorithm include the orignal Fractals Indicator by Bill Williams, the Modified Fractals indicator and ZigZag indicator. You can use this peak and trough analysis tool to detect the price pattern made up from Equilibrium Fractal-Wave process. For further usage, there are good guide line on how to use this peak trough
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Auto Chart Alert MT5
Young Ho Seo
3.6 (5)
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Introduction to GARCH Indicator GARCH is the short initial for Generalized Autoregressive Conditional Heteroskedasticity and it is the volatility prediction model commonly used in financial industry. GARCH model was first appeared in the work by Danish Economist, Tim Peter Bollerslev in 1986. The 2003 Nobel Prize winner, Robert F Engle also added much contribution for the refinement of GARCH model with Tim’s work. Our GARCH INM predictor took the original method of Nelder Mead for GARCH model bu
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Introduction to GARCH Indicator GARCH is the short initial for Generalized Autoregressive Conditional Heteroskedasticity and it is the volatility prediction model commonly used in financial industry. GARCH model was first appeared in the work by Danish Economist, Tim Peter Bollerslev in 1986. The 2003 Nobel Prize winner, Robert F Engle also added much contribution for the refinement of GARCH model with Tim’s work. Our GARCH INM predictor took the original method of Nelder Mead for GARCH model bu
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jerrylew2020
294
jerrylew2020 2022.09.22 12:15 
 

I have been using this indicator for for almost a year. It gives me a lot of good information. This indicator helps me to make better trades, especially reversals. I would recommend this product.

Alfredo Sabatini
387
Alfredo Sabatini 2017.01.07 20:21 
 

User didn't leave any comment to the rating

Iwan Iskandar
706
Iwan Iskandar 2016.11.26 17:34 
 

Thank you for this excellent indicator. Excellent tool for setting up my take profit target.

nguyenphanduc
198
nguyenphanduc 2016.08.18 13:14 
 

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Version 2.1 2021.12.02
In version 2.1, we made some minor improve on the Turning Point Detector. How to use it is exactly the same as the previous version 2.0. If you do not want to use the white chart background, then please set UseWhiteChart = false before attaching the indicator to the chart.