# $META Social Sentiment & Intelligence — 2026-10-04 03:40 UTC

> **Asset:** $META  
> **Momentum Status:** Fading Quickly  
> **Timestamp:** 2026-10-04 03:40 UTC (2026-10-04T03:40:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-10-04-03-40/crypto/META  
> **Overview Brief:** https://cryptitalk.com/2026-10-04-03-40/crypto.md  

---

## 10-Minute Social Metrics
- **Posts Analyzed:** 2
- **Total Impressions:** 643
- **Likes:** 34
- **Retweets:** 19
- **Comments:** 26

---


## Momentum & Sentiment Analysis
Total Engagement - Comments: 26, Retweets: 19, Likes: 34, Impressions: 643


---

## Cited Community Posts & Evidence


### Post #1 by @Dahraay_10
> **Author:** [@Dahraay_10](https://x.com/Dahraay_10)  
> **Metrics:** 132 likes · 7 retweets · 137 comments · 3.9K views  


> **Source Link:** [https://x.com/Dahraay_10/status/2106418994160828493](https://x.com/Dahraay_10/status/2106418994160828493)  


> **Visual Context:** The image shows the Poise Creator Push landing page featuring the headline "Turn your read into an index," with a red campaign card displaying 480 people joined, 122 groups created, and 4 days left under the LIVE CAMPAIGN banner. The visual illustrates the campaign described in the post, where the creator joined @PoiseFinance to build a community of independent market readers, highlighting the platform's creator campaign structure and active engagement numbers.  

> 
> "I’m not trying to build one of those groups where everyone just echoes the same take 

I joined my mate in the 
@PoiseFinance
 Creator Push and we’re looking for a few people who actually have their own way of reading the market.

The interesting part is that Poise lets those"


### Post #2 by @yangordi
> **Author:** [@yangordi](https://x.com/yangordi)  
> **Metrics:** 3 likes · 0 retweets · 1 comments · 252 views  


> **Source Link:** [https://x.com/yangordi/status/2106567229168927174](https://x.com/yangordi/status/2106567229168927174)  


> **Visual Context:** A screenshot of the quant-wiki.com GitHub page, described in Chinese as an open-source quantitative wiki ("开源的中文量化百科") dedicated to quantitative investing knowledge.  

> 
> "英文论文看得脑壳疼，国内资料又东一块西一块。

有人直接开源了一本中文量化百科 quant-wiki，因子模型、事件驱动、执行成本、策略思路全往里堆，专门填平国内外量化信息差。
github.com/LLMQuant/quant
…"




---


## Contributing Accounts

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

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