armandcismaru/DeepTraderX
High-performing deep learning trader on a multithreaded financial exchange simulation.
This project helps financial researchers and quantitative analysts evaluate the performance of a deep learning-based trading agent in a simulated market environment. You provide market scenarios and trader configurations, and it outputs detailed trading profits, order book dynamics, and other metrics for different trading strategies. It's designed for quants and researchers exploring new algorithmic trading approaches.
Use this if you need to rigorously test and compare the profitability of a deep learning trading strategy against established algorithms within a realistic, multithreaded financial exchange simulation.
Not ideal if you're looking for a live trading bot or a tool for real-time market prediction, as this is a research and simulation platform.
Stars
21
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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