JonusNattapong/Reinforcement-Learning-for-Gold-Trading
PPO-based RL system for XAUUSD trading. Trained on 2004-2025 gold price data (15-min intervals).
This project provides an automated trading system for XAUUSD (Gold vs. US Dollar) that uses historical price data to make buy/sell decisions. It takes in gold price data from 2004-2025 and outputs trading signals and a strategy for managing positions and risk. This is ideal for quantitative traders, algorithmic trading enthusiasts, or financial researchers looking to test automated gold trading strategies.
Use this if you want to develop, test, or evaluate an automated trading strategy for gold (XAUUSD) using a reinforcement learning approach.
Not ideal if you are a discretionary trader looking for manual trade signals or if you need a system for assets other than gold.
Stars
7
Forks
7
Language
Python
License
—
Category
Last pushed
Dec 23, 2025
Commits (30d)
0
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