BioAlpha's AI analyzes three categories of public data for each FDA catalyst: (1) Regulatory filing history — including FDA acceptance letters, Refuse to File decisions, Complete Response Letters, and advisory committee voting patterns; (2) SEC insider trading filings — Form 4 transactions from company officers and directors, analyzed for unusual buying or selling patterns near catalyst dates; (3) Institutional accumulation — 13-F filings from major biotech funds to detect smart money positioning.
The conviction score reflects the AI's assessment of how strongly these signals align. A score above 85 indicates strong directional alignment across all three data sources. Scores between 65–85 suggest mixed signals, and below 65 indicates high uncertainty or conflicting data.
Disclaimer: This calendar contains illustrative AI-generated analysis for educational purposes. It does not constitute financial advice. Always conduct your own due diligence before making investment decisions. PDUFA dates and clinical trial timelines are subject to change.