Real-time investment analysis with LLM-App — options flow scanner + price alerts (open source)

[tellmefrankie]

Hey llm-app community,

Real-time data pipelines for LLMs — sharing an open source project that demonstrates real-time investment analysis: Claude Code skills for options flow monitoring.

AI Investment Skills:

• Options flow scanner — sector ETF P/C anomaly detection with volume quality filter, fetches live data
• Price monitor — scheduled stop-loss/take-profit checker with Telegram alerts
• Daily AI briefing — morning context synthesis

Where llm-app fits:
The scanner currently polls Polygon.io for options data. With a Pathway/llm-app real-time pipeline, options chain changes could stream directly to the LLM — enabling the model to detect P/C ratio shifts as they happen rather than on a cron schedule. Real-time is critical for options signals.

Signal caught:
XLI P/C hit 5.32 (normal: 0.5–1.2). After filtering 98% lottery ticket volume: "extremely bearish." A streaming pipeline would have caught this as it crossed 4.0, not just at peak.

Open source:
→ https://github.com/tellmefrankie/ai-investment-skills

Anyone here building real-time financial data pipelines with llm-app?