559K trials, 1,515 tickers, 168K labeled catalyst events with returns. The clinical trials–to–equity bridge for biotech catalyst modeling.
1999–2025 coverage · 48K+ sponsors · FDA application links · Patent cross-references · Trial-level outcome labels.
Note: BioTrials Pro includes 168,131 labeled catalyst events joined to forward equity returns and volatility metrics.
Healthcare & Life Sciences
~560k trials, 1.5k tickers
Daily (Last: 2025-12-06)
Why this dataset matters for biotech investors
BioTrials Clinical Catalyst is an end-to-end dataset linking the global clinical trials universe to public biotech and pharma equities. It covers 558,973 trials (1999–2025), 48K+ sponsors, and 1,515 mapped public tickers, enriched with FDA application links, patent cross-references, therapeutic area tags, and trial-level outcome labels.
The Pro layer includes 168,131 labeled catalyst events joined to forward equity returns and volatility metrics. It serves as a clinical trials–to–equity bridge for biotech catalyst modeling and drug pipeline research, enabling investors to systematically analyze the impact of trial outcomes on stock performance.
The current Pro release ships with a robust set of trial and catalyst signals. The roadmap extends this into deep outcome analysis and investigator networks.
Recruiting, Active, Completed, Terminated, Withdrawn status flags.
Industry, NIH, University, Federal, Other classifications.
Phase 1, 2, 3, 4, Early Phase 1, Not Applicable mapping.
Target vs Actual enrollment, gender breakdown, age eligibility.
MeSH terms, ICD-10 codes, rare disease flags.
Drug, Device, Biological, Procedure, Genetic, Dietary Supplement.
Primary/Secondary endpoint success, p-value extraction.
Serious vs Non-serious counts, organ system classification.
PubMed citations, journal impact factor, results publication lag.
PI ranking, site performance, key opinion leader (KOL) mapping.
Choose the depth of intelligence you need
Clean clinical trial history, ready for your own models.
From trial IDs to tradeable catalysts in one table.