TradingGym Files

Trading backtesting environment for training reinforcement learning

This is an exact mirror of the TradingGym project, hosted at https://github.com/Yvictor/TradingGym. SourceForge is not affiliated with TradingGym. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
TradingGym source code.tar.gz	2023-08-12	15.4 MB	0
TradingGym source code.zip	2023-08-12	15.4 MB	1
Totals: 2 Items		30.8 MB	1

You Might Also Like

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

Start Free

Recommended Projects

ML for Trading
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and...
Qbot
Qbot is an open source quantitative research and trading platform that provides a full pipeline from data ingestion and strategy development to backtesting, simulation, and (optionally) live trading. It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers...
AutoTrader
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper...
AIQuant
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep...
NautilusTrader
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live,...

TradingGym Files

Trading backtesting environment for training reinforcement learning

Get an email when there's a new version of TradingGym