Machine LearningFeatured
Multi-Agent Forex System
Collaborative agents for currency markets
Multi-AgentForexTradingPythonRL
Performance Metrics
Type
Research
Status
Experimental
Overview
Exploring multi-agent systems for forex markets:
- Built multi-agent system with specialized agents (trend-following, mean-reversion, momentum)
- Implemented agent communication for sharing insights and coordinating positions
- Designed reward structures for individual and system-level risk management
- Created forex-specific features: pair correlations, rate differentials, economic events
- Developed backtesting environment with realistic spreads and rollover costs
- Tested across major pairs (EUR/USD, GBP/USD, USD/JPY)
**Early-stage project**: Focus on learning multi-agent coordination, not production trading.
Personal experiment in applying multi-agent RL to forex markets.
Technologies Used
PythonMulti-Agent RLForex APIsPandas
Links
Project Timeline
November 2025 - Invalid Date