[nykodev]

Hey HN, I built this because I was trading biotech stocks and got tired of manually tracking PDUFA dates, FDA decisions, and trial readouts across multiple sources.

What it does: - Aggregates ~1000 biotech companies from ClinicalTrials.gov, SEC EDGAR, FDA - Daily data sync - ML predictions for catalyst impact (XGBoost) and likelihood of approval (Random Forest)

Technical details: - XGBoost model trained on historical catalyst events - Features: catalyst type, phase, therapeutic area, market cap, price momentum - Random Forest for LOA scores based on BIO 2024 clinical success benchmarks - Weekly model retraining

The ML part is experimental - I'm genuinely not sure if it's useful or just fancy noise. Would love feedback from anyone who trades biotech or has experience with financial ML.

Free tier: 3 predictions/day + full calendar Paid tiers: unlimited predictions, smart money signals, entry timing

Happy to answer questions about the data pipeline or ML approach.