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Search for companies, drugs, and catalysts

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Search for companies, drugs, and catalysts

Biotech Catalyst Intelligence

Never Miss a Biotech Catalyst

Track PDUFA dates, Phase 3 results, and FDA decisions for 1,169+ biotech stocks. Get ahead of market-moving events with comprehensive catalyst coverage.

Data updated 7m ago

1,169
Biotech Companies
11,684
Drug Pipelines
3,199
Upcoming Catalysts
82.7%
ML Accuracy
IPO Calendar

Upcoming Biotech IPOs

Track initial public offerings from biotechnology and pharmaceutical companies

Next Biotech IPOs
Upcoming initial public offerings

Biotech IPOs

Total Deal Value

Why Track IPOs?

Biotech IPOs offer early access to innovative companies developing breakthrough therapies. Stay informed about new investment opportunities.

Explore IPOs
AI-Powered Analytics

Make Smarter Investment Decisions

Our machine learning models analyze thousands of clinical trials and FDA decisions to predict outcomes and help you understand the biotech landscape.

XGBoost Model
Stock Impact Prediction
Predict potential stock price movement based on upcoming catalysts
  • Directional prediction (up/down/neutral)
  • Confidence score with key factors
  • Trained on 880+ catalyst patterns
Random Forest
Trial Success Probability
Estimate likelihood of approval based on trial characteristics
  • Phase-specific success rates
  • Therapeutic area benchmarks
  • Designation impact analysis
BIO 2024 Data
Industry Benchmarks
Compare against industry-wide success rates and averages
  • Phase transition success rates
  • Therapeutic area LOA data
  • Historical trend analysis
Clinical Phase Success Rates
Industry averages for phase transitions (BIO 2024)
Phase 1 → 263.2%
Phase 2 → 330.7%
Phase 3 → NDA58.1%
NDA → Approval85.3%

Source: BIO Industry Analysis 2024

Likelihood of Approval by Area
Overall LOA from Phase 1 to approval by therapeutic area
26.1%
Hematology
19.1%
Infectious Disease
7.9%
Oncology
8.2%
Neurology
9.4%
Cardiovascular
15.3%
Autoimmune

Higher rates indicate historically better approval odds

How Our ML Works

Data-Driven Predictions You Can Trust

1. Data Collection: We collect historical data from ClinicalTrials.gov, FDA decisions, and market data.

2. Feature Engineering: Our models analyze phase, therapeutic area, designations, market cap, and more.

3. Model Training: XGBoost for impact prediction, Random Forest for LOA - calibrated for accurate probabilities.

4. Continuous Learning: Models retrain weekly with new outcomes to improve accuracy.

Predictions are for informational purposes only and NOT financial advice. Past performance does not guarantee future results. Always conduct your own research and consult a financial advisor before making investment decisions.

Everything You Need

Professional biotech intelligence for serious investors

Catalyst Calendar
Interactive calendar with all upcoming FDA dates and trial readouts
ML Predictions
AI-powered stock impact and entry timing predictions (82.7% accuracy)
Entry Timing
Optimal entry points calculated from historical catalyst patterns
Real-time Alerts
Push notifications for catalyst results and watchlist updates

Why CatalystAlert?

Real-time Updates

Data synced daily from ClinicalTrials.gov, SEC filings, and FDA announcements

Official Sources

All data comes directly from government databases and official company filings

Tiered Access

Free tier for browsing, premium tiers unlock ML predictions and alerts

Data Sources

  • ClinicalTrials.gov - Clinical trial phases and timelines
  • SEC EDGAR - 8-K filings and press releases
  • FDA openFDA - Drug approvals and PDUFA dates

Important Disclaimer

CatalystAlert is an informational platform only and does NOT provide financial advice. All predictions and analyses are based on historical data and are not guarantees of future results. Biotech investing carries significant risk including potential total loss of investment. Always consult a qualified financial advisor before making investment decisions. Full Terms

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