AI quant trading (so that I have another income and can stop being threatened by managers that if I don't meet their unrealistic expecations that I won't have food on the table next year).
So far it's going well, 30000% gains on my initial capital in 3 months very gradually over 100K trades. But I need to build some more sleeves because (a) the edge could die any time (b) I hit capacity of that edge and it can only grow linearly now.
What approach did you take with AI to make it discover an edge? Give the AI autonomy to search for edges itself and build e.g. a backtest it can use to confirm, or narrow it done with research (possibly AI) and then investigate specific approaches with AI? Or in other words, how autonomous was the AI in finding that edge?
AI couldn't really find any edges large enough to be worthwhile risk- and tax-adjusted. It's mostly me thinking of edge ideas that aren't on the internet and AI testing the hypotheses, building and battle-testing the infra, building risk models, implementing risk controls, monitoring it 24/7 for out-of-distribution behavior with several circuit breakers, etc.
It's severely capacity limited, that's why it's possible and Wall Street wouldn't be interested in it, yet it's too complex for most retail folks without a solid math and game theory background to execute.
There are a handful of niche edges like this lying around that nobody at a quant firm would set up a trade desk around, it's not worth their time but it's meaningful money to someone in a personal capacity.
So far it's going well, 30000% gains on my initial capital in 3 months very gradually over 100K trades. But I need to build some more sleeves because (a) the edge could die any time (b) I hit capacity of that edge and it can only grow linearly now.