Smart Renko MT5

Introduction to Smart Renko

The main characteristics of Renko Charting concern price movement. To give you some idea on its working principle, Renko chart is constructed by placing a brick over or below when the price make the movement beyond a predefined range, called brick height. Therefore, naturally one can see clear price movement with less noise than other charting type. Renko charting can provide much clearer trend direction and it helps to identify important support and resistance level more clearly. As Renko charting does not use time, original Renko charting have some difficulties to be used together with other technical indicators. Especially backtesting of your strategy using typical Renko charting is very difficult and time consuming. However, we brought Smart Renko Chart here. Smart Renko overcomes the limitation of traditional Renko charting and it brings you many other benefits for your efficient trading.

Main Features of Smart Renko

  • You can use any timeframe to calculate your Renko bricks including M1 and M5.
  • Smart Renko will show you generally agreeable trend movement towards all timeframe.
  • You can display spread view of Renko bricks on your main chart allowing you to backtest with other technical indicators.
  • You can cross reference between the Renko bricks on your main chart and Renko bricks on your indicator chart. (Simply just double click on your main chart or indicator chart. You will see reference lines on both charts.)
  • Smart Renko includes automatic brick height calculation using Standard Deviation and Z value. Therefore even a starter can use this Smart Renko Indicator.
  • Smart Renko will indicate the future brick level for buy and sell bricks in advance.

Some Note on Smart Renko

  • Smart Renko must be used together with other indicator. You can use it with many built-in technical indicators successfully, such as MACD, RSI or Stoch, Moving Average to construct your trading strategy.
  • Line chart is preferred with Smart Renko. Therefore, in default setting, Smart Renko uses line chart. However, you can always switch off the line chart and use candlestick chart.
  • Renko chart should be calculated using M1 data. You can choose M1 timeframe for its calculation with Smart Renko. However, most brokers have short historical data for M1 timeframe. Therefore, default timeframe for calculation is M5 timeframe.
  • It is possible to draw bricks on entire historical data. This may slow down your trading terminal.
  • For Brick Height Mode = 1, Smart Renko will use Standard deviation to calculate brick height automatically. Use the common Z value sensibly such as 1.0, 1.68, 1.96, etc. for profitable trading.
  • For Brick Height Mode = 0, you can input any brick height in pips. Smart Renko will use your input to construct the Renko Chart.
  • Hit R key on your keyboard When Smart Renko does not load automatically at start up. This happens due to initial data loading on sub-timeframe (M1, M5, etc.) of current timeframe.
  • Smart Renko uses sub-timeframe (M1 or M5) for brick calculation and it displays bricks on the current timeframe. Do not use weekly or monthly chart. M1 or M5 timeframe mostly does not have sufficient data to draw Renko brick on weekly and monthly chart.

Trading Strategy Guide

You can use Smart Renko together with any of following technical analysis.

Guide for Volume Spread Analysis

Guide for Harmonic Pattern Detection Indicator

Guide for Momentum Indicator

Guide for Supply Demand Indicator

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

Guide for 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.

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Batsirayi L Marango
5 (1)
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Israr Hussain Shah
4 (1)
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Siarhei Vashchylka
5 (11)
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Ihor Otkydach
4.83 (23)
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1 (4)
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Ivan Stefanov
5 (1)
Göstergе, herhangi bir noktadan hacmi analiz eder ve bu hacim için piyasanın tükeniş seviyelerini hesaplar. Meravith’in ana çizgileri: Boğa hacim tükeniş çizgisi – hedef olarak kullanılır. Ayı hacim tükeniş çizgisi – hedef olarak kullanılır. Trend çizgisi – piyasa trendini gösterir. Piyasanın boğa mı ayı mı olduğuna bağlı olarak rengi değişir ve trend desteği görevi görür. Nasıl kullanılır: Mor dikey çizgiye çift tıklayın ve istediğiniz konuma taşıyın. Her şeyi analiz edebilirsiniz – trendleri v
Discover the MSG Method: Master the Major Session Gap for Consistent Forex Profits Unlock the power of the MSG Method – our proprietary Major Session Gap strategy designed to capture high-probability trades during key market session transitions. Developed by the T1 FX Team, this innovative approach leverages algorithmic precision to identify and exploit price gaps between major trading sessions (London, New York, and Tokyo). Why Choose the MSG Method? High-Probability Setups : Focuses on session
Adaptive Volatility Range [AVR] -  is a powerful tool for identifying key trend reversals. AVR -   accurately displays the Average True Volatility Range taking into account the Volume Weighted Average price. The indicator allows you to adapt to absolutely any market volatility by calculating the average volatility over a certain period of time - this provides a stable indicator of positive transactions. Thanks to this , Adaptive Volatility Range   has a high   Winrate of 95% There are two ways t
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Alexey Minkov
5 (7)
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Introduction to Fractal Moving Average Fractal Moving Average indicator was designed as part of Fractal Pattern Scanner. Inside Fractal Pattern Scanner, Fractal Moving Average Indicator was implemented as multiple of chart objects. With over thousands of chart object, we find that it was not the best and efficient ways to operate the indicator. It was computationally too heavy for the indicator. Hence, we decide to implement the indicator version of Fractal Moving Average indicator to benefit ou
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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 This indicator detects volume spread patterns for buy and sell opportunity. The patterns include demand and supply patterns. You might use each pattern for trading. However, these patterns are best used to detect the demand zone (=accumulation area) and supply zone (=distribution area). Demand pattern indicates generally potential buying opportunity. Supply pattern indicates generally potential selling opportunity. These are the underlying patterns rather than direct price action. T
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Introduction to Order Risk Management EA ORM EA is specially designed for fast and accurate market order execution to be used with our Price Action and Econometric Trading strategies listed below. ORM EA is fully automatic and ORM EA is also very easy to use. ORM EA is totally free of charge. You can also use this robust order execution feature of this ORM EA for any other your own trading strategy. Trading Strategy Guide Order Risk Management EA provides the guide for the risk management for y
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