entrpn/fingym
A tool for developing reinforcement learning algorithms focused in stock prediction
This toolkit helps quantitative traders and researchers develop and test automated trading strategies using reinforcement learning. You provide your trading algorithm, and it simulates how that algorithm would perform in various stock market scenarios, giving you performance feedback. This allows you to refine your strategy before deploying it with real capital.
No commits in the last 6 months. Available on PyPI.
Use this if you are a quantitative trader or researcher looking to apply reinforcement learning to stock market prediction and strategy development, and you need a standardized way to test your algorithms.
Not ideal if you are looking for a pre-built trading bot or a platform for manual trading; this tool requires you to develop your own algorithms.
Stars
18
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
May 04, 2022
Commits (30d)
0
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