BorjaGomezSolorzano/deep-trader
Deep Reinforcement Learning applied to trading
This project helps financial market traders generate potential buy and sell signals by applying advanced machine learning techniques. It takes historical financial market data as input and produces trading signals to guide investment decisions. This is designed for quantitative traders, portfolio managers, and financial analysts seeking to automate or enhance their trading strategies.
No commits in the last 6 months.
Use this if you are a quantitative trader looking to leverage deep reinforcement learning to generate automated trading signals from historical market data.
Not ideal if you are looking for a simple, off-the-shelf trading bot without understanding the underlying algorithmic trading principles.
Stars
15
Forks
6
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 29, 2019
Commits (30d)
0
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