What problem does it solve? It turns macro, policy, regulatory, supply-demand, geopolitical, or corporate events into auditable causal impact analysis, preventing unsourced numbers, unverified rumors, and premature priced-in conclusions from entering investment research. ## Core Features & Use Cases - Event Verification & Baseline Freezing: Verifies event status, jurisdiction, effective dates, and pre-event market baselines before any conclusion, with per-number source tagging. - Transmission Chain Analysis: Maps events through channels to financial and valuation impacts, separating direct, second-order, and higher-order effects. - Scenario & Monitoring Framework: Produces Base/Upside/Downside scenarios, falsification conditions, and monitoring triggers via deterministic Python scripts. - Use Case: When an export control policy is announced, use it to verify the regulation's official status, rank affected semiconductor companies by exposure evidence, and deliver a sourced impact report with priced-in judgment. ## Quick Start Ask the assistant to analyze how a specific newly announced policy or event affects a named company, industry, or market, including transmission channels and monitoring signals.
