I don’t have much experience with AI in general (other than the basics), or TensorFlow, Gym, Universe in specific. But when I read about Universe, I was wondering if a gym could be created that contains past trading data that gets shown in chronological order (just like a market ticker), with “buy” and “sell” as options for the agent to interact with the gym. The money made by trading is the score / reassurence for the agent.
- Does this make sense at all or are there better ways to train an AI for algo trading?
- Why is this not more popular? Is algo trading already “solved”, making this not a useful case for Gym / Universe?
- How would you start doing this? Which are the best starting points for creating said gym and agent?
Anyone interested in joining forces? I’m a software engineer and Bitcoin / Blockchain enthusiast / trader.