SnowCheetos/AutoMoonBot
Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha
This project helps quantitative traders develop automated trading strategies inspired by successful hedge funds. It takes in various public market data, such as news and interest rates, and aims to generate consistent buy/sell signals to execute trades automatically. The target user is a quant trader or researcher interested in exploring advanced algorithmic trading methods.
No commits in the last 6 months.
Use this if you are a quantitative trader looking to experiment with cutting-edge machine learning techniques like heterogeneous graph neural networks and reinforcement learning for building automated trading systems.
Not ideal if you are looking for ready-to-use investment advice or a fully developed financial product, as this is an early-stage educational project for research purposes.
Stars
33
Forks
7
Language
Rust
License
MIT
Category
Last pushed
Aug 12, 2024
Commits (30d)
0
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