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Automated Support Resistance Screener

49 USD

Demo downloaded: 72

Published: 24 October 2022

Current version: 1.9

Automated Support Resistance Screener

Indicators
Eko Baskoro
Eko Baskoro
Indonesia

17961
4.7 (13)
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11 products 3 comments
Version: 1.9
Updated: 18 March 2025
Activations: 20

You can proof how good this indicator is by comparing this indicator with other support resistance indicators in MQL5.com market.

The Automated Support Resistance Screener is a powerful support and resistance custom indicator that can help traders determine the level of support and resistance values simple, easily and accurately.

MT4 doesn't provide any support and resistance indicator, making ASRS an essential tool for traders and this indicator is built using the MQL4 programming language and is used in the MetaTrader 4 platform.

This indicator also suitable for all time frames and all markets, including indices, forex, and more.

ASRS can works by screening the best support and resistance values in a given price range. The indicator uses special calculations like screening method and complex algorithms that make it unique and reliable. This makes it a perfect tool for both new and professional traders.

You can proof how good this indicator is by comparing this indicator with other support resistance indicators in MQL5.com market.

ASRS has very easy input settings, because determining variables is assisted by reliable special functions and AI function.

Traders only need to determine the main inputs SR_Bars and Max_Lines_Number also several input styles like color and size.

Functions improvements based on result of our research have been carried out to improve the performance of this indicator.

The latest update of Automated Support Resistance Screener, (MQL4, MT4), version 1.9 has been completed on March/18/2025.

In the latest version, feature improvements have been made to facilitate traders with better performance.

Always trade wisely and use proper money management strategies. Good luck!

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LT Triple Support Resistance Screen Method is a kind of levels indicator that consist of three SR lines. It is built by MQL4 programming language and can be used to MT4 platform. A free version indicator to determine the support and resistance levels easily This indicator works based on the screen method to calculate the most appropriate value for each buffer. A complex algorithm based on long research is applied to this free custom indicator. But this indicator has limited features and simpler

FREE

Moving Average is one of the indicators that is widely used in technical analysis which can help to smooth price movements by eliminating some price fluctuations that are less relevant based on past price calculations, so that an average line of price movements is formed within a certain time period. Simple Moving Average Over Flow is an indicator writen by MQL$ language that is given a special additional moving average line based on certain calculations so as to make this moving average better

FREE

Exponential moving average (EMA) and super trend are popular and good indicators that is often and used to determine the trend direction. One of the best trading strategies with trailing stop is trading strategy with using a combination of Exponential Moving Average (EMA) and Super Trend indicators. EMA SuperTrend Strategy Indicator is the indicator consist of EMA, Super Trend and Alert function also other calculations are needed. It's also has extra indicator there are Automated Fibonacci Retr

30 USD

Zeta EA MT4 is an Expert Advisor (EA) that developed based on years of research, experienced expert and AI technology. This EA works based on, simple support resistance, average true range (ATR), and other special calculations based on time frame daily (D1). The last optimized of Zeta EA MT4 version 1.20 has been done on 2 February 2026. The optimization in many functions and strategies has been done. This EA uses the same trading strategies with some input setting variations for all currency pa

49 USD

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Automated Support Resistance Screener

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