MetaFinancial built 7 specialized AI agents (order flow, funding rates, whale tracking, smart money flow, security audits, macro analysis, sentiment parsing) but the architecture isn't about individual outputs. The real system triggers when agents contradict each other.
Core logic: bullish chart signal gets downweighted if funding rate shows crowding. Whale inflow gets filtered through order book depth to detect absorption zones. No single model output ships without cross-validation from conflicting data sources. Security layer acts as a hard gate regardless of price signals.
This is multi-agent ensemble learning applied to trading decisions. The product isn't the predictions, it's the conflict resolution layer that forces different truth sources to battle before surfacing actionable intel.
$MEFAI
Core logic: bullish chart signal gets downweighted if funding rate shows crowding. Whale inflow gets filtered through order book depth to detect absorption zones. No single model output ships without cross-validation from conflicting data sources. Security layer acts as a hard gate regardless of price signals.
This is multi-agent ensemble learning applied to trading decisions. The product isn't the predictions, it's the conflict resolution layer that forces different truth sources to battle before surfacing actionable intel.
$MEFAI