I'm not really someone who should be giving advice, because I consider myself a gekko noob, but I've successfully installed a couple of the genetic algorithm back testing tools and have found the results far more stable over different time periods than simply trying to guess at some parameters. You do need to have at least a little bit of understanding of the indicators such as RSI, ADX, BB, etc so that you don't set your test parameters too wide.
This genetic algorithm tester seems to be the best for me because it tests against multiple time spans.
https://github.com/Gab0/japonicus
Something else I've learned from the gekko community is that you need to look at much more than just profit when back testing, you need to look at the number of bad trades and also how much loss are in those trades. It hurts to see real money gain 4 or 5% in a week and then lose 2, 3 or 4% of those gains in a single bad trade.
Also, I've done most of my testing against ETH and LTC .
I have not had much luck getting profit out of BTC with gekko yet.
This genetic algorithm tester seems to be the best for me because it tests against multiple time spans.
https://github.com/Gab0/japonicus
Something else I've learned from the gekko community is that you need to look at much more than just profit when back testing, you need to look at the number of bad trades and also how much loss are in those trades. It hurts to see real money gain 4 or 5% in a week and then lose 2, 3 or 4% of those gains in a single bad trade.
Also, I've done most of my testing against ETH and LTC .
I have not had much luck getting profit out of BTC with gekko yet.
Started backtesting a week ago. I've been compiling all my "hits" in a spreadsheet for further testing. Basically take anything that looks like it could be profitable from searching with gekkoga, and test on many different timeframes.