One of the areas I focus on is around algorithm development. I’m not that experienced with Machine Learning yet, nor am I an expert in any particular language, but I dabble in a few. Probably the biggest issue I experience on a day to day basis involves going from strategies with nearly unlimited risk tolerance (but perpetual 100% winrate) to strategies with very strongly capped risk tolerance. I’ve looked at everything from MA’s to confluence, pivots and momentum, but nothing has really stuck out to me as a solidly consistent bot/algo strategy that uses a risk cap.