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zero-was-here/tradingbot
Deep reinforcement learning system for gold trading
What it is
A deep reinforcement learning system for autonomous trading of gold against the US dollar. It uses the PPO and Dreamer algorithms in PyTorch with a large feature set covering multiple timeframes, macro data and economic indicators. Developers and traders with a background in RL who want to research automated gold trading are the target users. It concentrates on a single instrument, and results from training should be checked carefully before risking money.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Strategy research, AI agents |
| Markets | Futures, Other markets |
| Stack | Python |
| Learning curve | Steep learning curve |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | GPU optional |
| Maintenance | Last commit 29 days ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): +10 over the period, now 210. Gaps mean no snapshot was taken that day.
DRL Trading - AI Gold Trading Bot Deep reinforcement learning system for autonomous XAUUSD trading using: - PPO & Dreamer algorithms (PyTorch) - 140+ features: multi-timeframe, macro data, econ
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