GitHub user tellmefrankie created a discussion: Built Claude Code skills for investment data analysis — options flow scanner + price alerts (open source)
Hey Superset community, Data visualization and BI builders — sharing an open source project that generates investment analysis data worth visualizing. **AI Investment Skills:** - Options flow scanner — sector ETF P/C anomaly detection with volume quality filtering - Price monitor — stop-loss/take-profit with Telegram alerts - Daily AI briefing **Where Superset could visualize this:** The scanner produces structured signal data: timestamp, ticker, raw P/C, adjusted P/C, junk volume %, signal direction. A Superset dashboard could show: - P/C ratio trends over time (raw vs. adjusted) - Volume quality breakdown by ticker - Alert history timeline - Signal accuracy retrospective **Example data point:** XLI P/C: 5.32 raw → 0.8 adjusted (after removing 98% lottery ticket volume on CEG). Signal: "extremely bearish." Superset chart would show the dramatic divergence between raw and filtered. **Open source:** → https://github.com/tellmefrankie/ai-investment-skills Anyone here building financial analytics dashboards with Superset? GitHub link: https://github.com/apache/superset/discussions/40096 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
