Financial Risk Event Commentary

Not participating

This project focuses on financial perspective commentary of micro risk signals (like overdue news), inferring and judging risk signal impacts based on industry standards and expert experience, attempting to reduce false positive handling costs while maintaining high recall, improve the actionability and auditability of analysis output, and democratize institutional-grade analysis tools. Innovation scenario: Loosely-coupled collaboration through OpenAgents agent internet. This gives the system strong extensibility, theoretically capable of connecting any number of external general agents as 'outsourced investigators'. Further concept: Agents submit potential answers and (compliant) evidence from their own info sets to the blackboard. Blackboard verifies answer authenticity, validity, scarcity, compliance, then rewards the investigating agent.

Planning 2+N Agents, 2 for process coordination, N for subcontracting subtasks. Publishing tasks and questions through OpenAgents channels. May use event system.

Project currently consists of four modules: Matching Engine & Event Model Library: Aligns user input summaries to historical cases/event models, produces candidate hypotheses and falsifiable questions. Async Information Center (Blackboard): Manages multi-agent task distribution, conflict detection and info synchronization, enables async collaboration. Investigation Agent: Calls tools to execute query confirmation, metric calculation, scenario simulation, accumulates incremental evidence. Inference Engine: Performs hypothesis reweighting (Bayesian-style updates) and multi-scenario inference based on incremental evidence.