The learning method is really quite naive, I'll put it that way. The algorithm I chose is designed to be risk averse and crash resistant. The learning method and algorithm are orthogonal/separate, and what learning you pair with what trading algorithm can make a big difference in risk and returns obviously.

I'd prefer not to say more than that simply because if the algorithm was run at any large scale I worry about its effect on the market as a whole. Imagine a bunch of bots all following the patterns of a few other bots and what happens if one of those big player bots errors or even if there's a change in the bot and people don't retrain their model. That's just one way it could all go south quick. I'm frankly worried that this risk doesn't already exist.