One of the moving averages that is not often made adaptive is SMA (Simple Moving Average). The reason for that is that it is bound to bars values (unlike, for example EMA - that is used in numerous adaptive averages - that can use fractional periods too) and that makes the calculations a bit complicated and, in some cases the results are going to be "nervous" - they tend to changes slope in some periods very quickly.
That makes it a bit difficult to use it too : using the slope of such an average as a criteria for a trading decision would lead to "change of mind" on almost every bar - and that is not what anybody would like to do. This version makes a possible solution for that : since adaptive SMA is "faster" than the "regular" SMA, you can use the crosses of adaptive to regular SMA as a criteria for trend. Results seem to be acceptable
A native implementation of neural networks in pure MQL, bundled with an easy to use interface, with easy support of saving and loading of the network configurations after training.Bridge - structural design pattern
Decouple an abstraction from its implementation so that the two can vary independently