quantylab/rltrader
파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)
This project helps individual investors and quantitative traders develop and test automated stock trading strategies. It takes historical stock and market data as input and produces a trained AI model capable of making buy/sell/hold decisions. The end-users are those who want to apply deep learning and reinforcement learning techniques to their investment strategies.
369 stars. No commits in the last 6 months. Available on PyPI.
Use this if you want to build and customize an algorithmic trading system based on deep learning and reinforcement learning, using historical stock and market data.
Not ideal if you are looking for a plug-and-play stock trading bot without wanting to understand or modify the underlying AI models and code.
Stars
369
Forks
352
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 01, 2024
Commits (30d)
0
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