# $KAST Social Sentiment & Intelligence — 2026-08-02 18:10 UTC

> **Asset:** $KAST  
> **Momentum Status:** Trending Up  
> **Timestamp:** 2026-08-02 18:10 UTC (2026-08-02T18:10:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-02-18-10/crypto/KAST  
> **Overview Brief:** https://cryptitalk.com/2026-08-02-18-10/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 102
- **Likes:** 8
- **Retweets:** 0
- **Comments:** 8

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 8, Retweets: 0, Likes: 8, Impressions: 102


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## Cited Community Posts & Evidence


### Post #1 by @tom_doerr
> **Author:** [@tom_doerr](https://x.com/tom_doerr)  
> **Metrics:** 5 likes · 0 retweets · 0 comments · 2.3K views  


> **Source Link:** [https://x.com/tom_doerr/status/2083861541883985975](https://x.com/tom_doerr/status/2083861541883985975)  


> **Visual Context:** The image shows a "Skills Overview" table authored by Ruby and Star, listing four financial analysis skills available to an AI agent: tech-earnings-deepdive (institutional-grade analysis with 16 modules), us-value-investing (Buffett-style 4-dimension analysis), us-market-sentiment (5 core indicators including NAAIM), and macro-liquidity (Fed net liquidity, SOFR, MOVE index tracking). The visible portion begins describing a Bitcoin cycle timing model with 13-indicator weighted scoring, directly matching the GitHub repository (Day1Glo) promoted in the post for equipping AI agents with comprehensive financial analysis capabilities.  

> 
> "Equips AI agents with financial analysis skills including tech earnings deep dives, value investing screens, market sentiment tracking, global liquidity monitoring, and a 13-indicator Bitcoin cycle timing model.
github.com/star23/Day1Glo
…"




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## Contributing Accounts

- `@mial1509` (https://x.com/mial1509)