The purpose of a moving average tool is to give you a sense of how strong your trend is, and, ultimately to serve as a signal. You can run backtests on this stuff and it is gravy ex-post but is terrible ex-ante. What you really want to do is evaluate the strength of a trend using a Kalman filter and then measure volatility of the price using variance or std. Combining the two is a powerful signal generator. However, you will need to backtest the optimal lookback period, as that changes per stock per volume etc.
Post some charts and examples of what you find. Moving Average - Double Exponential https://yippy.com/search?query=Moving+Average+-+Double+Exponential https://www.technicalindicators.net...is/147-dema-double-exponencial-moving-average Moving Average - Triple Exponential https://yippy.com/search?query=Moving+Average+-+Triple+Exponential https://www.technicalindicators.net...is/183-tema-triple-exponential-moving-average Moving Average - Generalized Double Exponential https://yippy.com/search?query=Moving+Average+-+Generalized+Double+Exponential https://www.sierrachart.com/index.p...ving_Average_-_Generalized_Double_Exponential Moving Average - Adaptive https://yippy.com/search?query=Moving+Average+-+Adaptive https://www.sierrachart.com/index.p...ence.php&ID=93&Name=Moving_Average_-_Adaptive https://search.sierrachart.com/?Query=moving+average&submitted=true https://www.sierrachart.com/index.p...e.php&ID=27&Name=Moving_Average_-_Exponential
Hard to get a direct and correct answer on the internet about trading, isn't it? Increase the smoothing factor. In your formula, the smoothing factor is 2. Doing a proper google search will reveal more details about the smoothing factor. (That said, obviously, decreasing the number of days also increases the weight of the most recent data points.)
The attached articles by John Ehlers give you an idea what can be done with adapative EMAs. Btw, moving averages are lowpass filters in digital signals processing terminology. EMAs are infinite impulse response (IIR) lowpass filters. An SMA is an example of a finite impulse response (FIR) lowpass filter.
To answer my own question, also for those who are interested. Actually I just need to increase the '2's in the formula to increase the strength. Thanks for everyone who has replied.
I figured it out just now in Excel and came to post the finding. Then I read through the new replies and realize that you posted the solution. Thank you for your help. Your answer was the best and most relevant.