AI investment analysis skills — options flow scanner + stop-loss alerts for Claude Code (open source)

[tellmefrankie]

Hey backtesting.py community,

Quant traders and backtesting enthusiasts here — sharing an open source project for real-time investment analysis with Claude Code.

AI Investment Skills:

• Options flow scanner — detects sector ETF P/C ratio anomalies, filters lottery ticket volume
• Price monitor — stop-loss/take-profit alerts via Telegram, market hours aware
• Daily AI briefing

Backtesting angle:
The options flow signals this tool generates would be worth backtesting — did elevated XLI P/C ratios historically precede corrections in industrial stocks? The scanner generates timestamped signal data that could feed a backtest.

Real signal:
XLI P/C hit 5.32 (normal: 0.5–1.2). After filtering 98% $0.01 CEG lottery calls: "extremely bearish." Backtesting that kind of filtered signal would be the natural next step.

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

Anyone here combining backtesting with AI-filtered options flow signals?