A little background: I'm a ML intern at a non tech/finance startup and recently my boss wants to start an algo hedge fund. The previous intern managed to produce supernormal returns, so much so that my boss compares it to RenTec. Clearly its over fitted and flawed and my boss knows but he is convinced that it's true as 'the backtest has shown'.
Now I'm tasked to build a fund that fixes the flaw and I'm the only one working on it. I've fair knowledge in finance and some knowledge in ML. So far I've been able to produce solely technical analysis-based models. I find myself going in circles as I've huge knowledge gap to build real quantitative models. I'm exasperated and am looking for advice on moving forward.
Submitted October 29, 2020 at 08:12AM by geriophile