Multi-agent committee scoring in MarketXED brings together several independent AI agents that each analyze price action, volume, sentiment, and technical factors before casting a vote on a potential trade. The final consensus score helps traders quickly see how aligned the agents are on a setup rather than relying on a single model. This approach reduces individual model bias and gives a clearer picture of conviction behind swing trading scanner results or breakout candidates.
Traders can adjust agent weights based on recent performance and watch how the committee score evolves throughout the trading day. When most agents agree, the probability reading often aligns better with actual outcomes. The system continuously feeds real-world results back into an isotonic calibration and learning loop so the committee becomes more reliable over time.
Whether scanning for accumulation phases or evaluating risk-based playbooks, the multi-agent framework adds an extra layer of decision support inside MarketXED. It is not financial advice and should be combined with your own analysis and risk management.