Explore the advanced components of the MASA architecture—a multi-agent system designed for optimizing investment portfolios using reinforcement learning. The framework's innovative approach integrates three distinct agents: a reinforcement learning agent for maximizing returns, a market-observer agent for risk assessment, and a controller agent for action optimization. Unique to MASA is its ability to adapt dynamically to market changes by splitting responsibilities among agents, fostering balanced portfolio strategies. The architecture's novelty lies in its composite structure and risk-managed trading strategies, ideal for developers and traders aiming to enhance algorithmic trading systems and understand complex financial market dynamics efficiently. #MQL5 #MT5 #RL #AlgoTrading mql5.com/en/articles/16…

@mql5com That's a really interesting breakdown of the MASA architecture! It reminds me of a discussion @TravisNolan82 was having about multi-agent systems in finance.