I just conducted a test using two of my favourite of Mladen's indicators, one of which I've modded quite heavily, but still prefer at the moment the original settings, and this provides an entry and exit signal. I also use a filter of Mladen's - the most recent moving average he published in November 2020 on MQL5.

Mladen, thank you for sharing your genius with us. It's a great gift.

[1]
This is WITHOUT optimisation of the MA used as a crossover filter fore the trend following strategy. selecting a fast and slow (in this case, 10 and 50 MA).

2 year test result:

NORMAL MOVING AVERAGE USED TO FILTER TRADES (SIMPLE CROSSOVER TREND, PLUS 1 ADDITIONAL REQUIREMENT TO FILTER OUT RANGEBOUND)


MLADEN NEW (MCGINLEY) MOVING AVERAGE USED TO FILTER TRADES (SIMPLE CROSSOVER, PLUS 1 ADDITIONAL REQUIREMENT TO FILTER OUT RANGEBOUND).


At the first glance, it appears that the profit is the same - but look at the losses and other metrics. So I consider this as a potentially promising result in the first instance, even though we are looking at 150 to 189 trades over 2 years.

Below [to be edited in later as processing], I use a higher timeframe for the filter, and I also perform the test over around 6 years of 100% quality data, with 6 optimisations on the entry and exit strategy. I do not optimise the filter still (because I will save that for finding the best setting for live trading as a final step). I model both spreads and commission conditions for a more realistic simulation.

Without Mladen's new MA
With Mladen's new MA

This is using a single instrument (only one currency actually). I feel that the results are very promising, especially because the optimisation is minimal (not 100s of parameters or options).

Finally, I will apply this strategy and show you a portfolio result which looks very promising for future trading with optimisations say every 3-6 months.

TBC