Training my model on 48,000 data items (hourly candles for ETHUSDT from the past six years, approximately) takes about 6 hours. Tuning the model is likely to take weeks. I’m not being very systematic about it because I think I need to include some more feature inputs, so it’s really just an inititial exploratory phase.
I will be reading up on alternative algorithms as well. Currently it’s just a basic Double Deep Q Network. I’ll get my head around the Advantage Actor Critic model and give that a try as well. So now that I’ve actually got code up and running, with enough understanding of how it works to make the changes I want, the long haul starts.