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

Project Timeline

November 2025 - Invalid Date