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Usually, moving averages other than the simple and exponential moving averages, claim to be faster and reduce lag. But when put to the test, most of them are not even worth using. The only moving average that actually improved the win rate of a strategy in the long run, was the Weighted Moving Average we saw on the Trading Rush Channel. The McGinley Dynamic, on the other hand, is not like the other moving averages that claim to reduce lag.
Instead, it claims to reduce lag by adjusting to the speed of the price movement. It gets interesting. In a normal exponential moving average, it will calculate the average the same way in the range market, when the price is trending, and when the price makes sudden big moves. This can be a bad thing in some cases, especially when the price makes sudden big moves. But the McGinley Dynamic on the other hand will take this into account, and will adjust to ranging, trending, and sudden price movements.
The period normal Exponential Moving Average, is almost exactly the same as the 50 period McGinley Dynamic moving average. Does this mean McGinley Dynamic is just a lie and showing almost exactly the same thing as a double-length normal Exponential Moving Average? But remember what I said earlier, this indicator claims to adjust to the range, trending, and sudden market movements.
But when applied on a 1 min Forex chart, there is still not a lot of difference. You can use any length McGinley Dynamic moving average, and an Exponential Moving Average with twice the length of the McGinley Dynamic will look exactly the same on the smaller Forex timeframes. Even on a stock chart, where the prices open with huge gaps, the two moving averages looked almost exactly the same even on 1 min timeframe.
However, this time, there was a small difference between the Exponential and McGinley Dynamic at some points. You see, many traders call the McGinley Dynamic a better moving average, but on timeframes 4h and lower on the Forex Market, the McGinley Dynamic and a double-length Exponential Moving Average look almost exactly the same. On the other hand, in the stock market, on timeframes 30 mins and lower, there is almost no difference between a McGinley Dynamic and a double-length Exponential Moving Average.
You will see occasional gaps between the two moving averages, but there are not significant to call the McGinley Dynamic special or better. However, the biggest difference is easily noticeable, and where the McGinley Dynamic indicator shines, is on the Daily and higher timeframes. This indicator consists of 2 x McGinley Dynamic moving averages with the ability to fill the area between the 2 MA lines.
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 For all the McGinley enthusiasts out there, this is my improved version of the "McGinley Dynamic", originally formulated and publicized in by John R.
McGinley, Jr. Prior to this release, I recently had an encounter with a member request regarding the reliability and stability of the general algorithm. Years ago, I attempted to discover the root of it's The main concept for creating this was to completely remove the whipsaw nature of VWAP by introducing lag.
References: www. 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. The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the The divergence between them is used to indicate wave direction.
The channel's bounds are calculated by taking the highest high and lowest low of the slow McGinley Dynamic over a specified channel McGinley Dynamic is a technical indicator developed by a market technician, R. McGinley in I based my indicator from code by everget so you should go follow him if you aren't already! I had issues with the default version of this indicator using different lengths so this is my fix for those issues. This follows the price very closely especially when the A study of moving averages that utilizes different tricks I've learned to optimize them.
The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, This is an experimental study designed to track directional polarities across multiple timeframes and express them as a simple two color grid.
The polarity in this calculation is determined by divergence between a fast and slow McGinley Dynamic.