The purpose of this indicator is to address flaws found in conventional moving averages, such as price separation and whipsaws.

McGINLEY DYNAMIC with FRACTAL DEVIATION BANDS. The polarity in this calculation is determined by divergence between a fast and slow McGinley Dynamic.

The McGinley Dynamic MA is a very powerful tool that has many applications and can be a great addition to a traders arsenal if you're interested in it I suggest doing a bit of research. I personally use this indicator in addition to the other...

The calculations are used in the technical analysis of the market, mainly for trading forex, futures, stocks, indices etc.

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The general formula for the McGinley Dynamic (MD) is as follows: MD=MD Prior Day+(Today's Number-MD Prior Day)/(N*(Index/MD Prior Day)^4 Where: MD Prior Day = the McGinley Dynamic yesterday N = 60% of whatever moving average length you would otherwise use (in my case: 5 days) Index= today's unadulterated number to be implemented in moving average Technical Indicators and Chart Studies: Definitions and Descriptions In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen. You must log in or register to reply here. 1.0.beta.25.08.2015 By Ricardo M Arjona @XeL_Arjona

I had issues with the default version of this indicator using different lengths so this is my fix for those issues. I based my indicator from code by everget so you should go follow him if you aren't already! This is an experimental study using Kaufman Adaptive Moving Average (KAMA), ATR Decay, Linear Regression Bands, and McGinley Dynamic smoothing.

McGinley Dynamic is a technical indicator developed by a market technician, R. McGinley in 1997 I based my indicator from code by everget so you should go follow him if you aren't already! Timeframe: 1 hour O McGinley Dynamic Indicator foi desenvolvido por John McGinley e descrito no jornal "Journal Of Technical Analysis" da Association of Technical Market Analyst em 1991. JavaScript is disabled. This is a strategy based on the Mcginley Dynamic Moving Average indicator, a type of moving average that was designed to track the market better than existing moving average indicators. You can teach Excel a new custom list.

So for day 1, the average is just the value for day 1. For question 1, there are a few ways people have overcome the problem of moving averages when there aren't enough historical data to perform a "normal" calculation. The divergence between them is used to indicate wave direction. The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function.

The general formula for the McGinley Dynamic (MD) is as follows: Unlike moving averages such as Simple Moving Average or Exponential Moving Average, McGinley Dynamic avoids of most whipsaws and it rapidly moves up or down according to a quickly changing market. Mcginley Dynamics and Volume weighted moving average