AI-Powered Biotech Trading Bot for Catalyst Events

Transform biotech trading from manual news monitoring to fully automated catalyst detection with this AI-powered n8n workflow that scans financial newswires, analyzes sentiment, and ranks trade opportunities in real-time.

What this workflow does

This sophisticated 4-layer automation runs on scheduled loops to identify high-probability biotech trading opportunities. Layer 0 continuously polls PRNewswire, GlobeNewswire, and BusinessWire every minute, storing fresh articles in data tables. Layer 1 intelligently filters content for biotech keywords, classifies event types, and runs FinBERT sentiment analysis via HuggingFace—only PROCEED-rated events advance to the next stage.

Layer 2 integrates with Alpaca Markets to pull real-time quotes and 20-day volume data, calculating critical metrics like spread percentage and relative volume. Finally, Layer 3 leverages Google Gemini LLM for sophisticated trade scoring and stores qualified candidates for action.

Use cases

• FDA approval alerts: Automatically detect and score FDA drug approvals before market saturation
• Clinical trial monitoring: Track Phase 3 readouts and trial results across biotech portfolios
• M&A opportunity detection: Surface merger and acquisition announcements with AI-driven probability scoring
• Quantitative research: Build historical datasets of catalyst events for backtesting strategies

Technical details

Built with core n8n nodes including IF logic, Code execution, Merge operations, Webhook triggers, and Data Tables for storage. The workflow integrates HuggingFace's FinBERT model for financial sentiment analysis, Alpaca Markets API for real-time market data, and Google Gemini for advanced trade evaluation.

Setup requires API credentials for HuggingFace (free tier), Alpaca Markets (free tier), and Google Gemini, plus five configured data tables: news_events, processed_events, trade_candidates, llm_analysis, and market_snapshots.

Perfect for traders and quantitative analysts seeking systematic biotech catalyst detection without constant manual monitoring. This workflow transforms reactive trading into proactive opportunity identification through intelligent automation.