Inspiration
we wanted to know can reinforcement learning learn to manage a portfolio, or will it simply exploit patterns that work in certain regimes
What it does
tests RL against versions of Hidden Markov Model's and a simple BUY and HOLD strategy
How we built it
Challenges we ran into
"included in the video and report.md"
Accomplishments that we're proud of
we were able to pinpoint the problem with RL, iterated through many versions of HMM's till we found what works
What we learned
applying a Modern day machine-learning paradigm to trading "at least" is more challenging than what we thought
What's next for portfolio-management
definitely tweaking the reinforcement learning approach or testing other machine-learning paradigms
Built With
- gymnasium
- kaggle
- python
- pytoch
- yfinance
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