Using Dify-style pipelines for investment analysis — built open source Claude Code skills

[tellmefrankie]

Hi Dify community,

Huge fan of the pipeline architecture here. I've been building something similar but focused on investment analysis workflows.

AI Investment Skills — Claude Code skills for market analysis:

• Options flow scanner: Automates P/C ratio analysis across sector ETFs, filters noise (lottery ticket volume), surfaces genuine signals
• Price monitor: Stop-loss/take-profit alerts via Telegram, market hours detection built in
• Morning briefing: Daily AI-generated market summary

The core problem it solves:
Raw options data is noisy. XLI P/C hit 5.32 (normal: 0.5–1.2) — sounds alarming. But 98% of that volume was $0.01 CEG calls (lottery tickets with no real signal). The skill filters this out automatically. Without filtering: "neutral." With filtering: "extremely bearish." Big difference.

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

Dify's workflow approach would be perfect for chaining this kind of signal filtering with downstream decision logic. Anyone building investment/trading pipelines with Dify?