# $GME Social Sentiment & Intelligence — 2026-07-12 18:30 UTC

> **Asset:** $GME  
> **Momentum Status:** Cooling Down  
> **Timestamp:** 2026-07-12 18:30 UTC (2026-07-12T18:30:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-07-12-18-30/crypto/GME  
> **Overview Brief:** https://cryptitalk.com/2026-07-12-18-30/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 122
- **Likes:** 6
- **Retweets:** 2
- **Comments:** 0

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 0, Retweets: 2, Likes: 6, Impressions: 122


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## Cited Community Posts & Evidence


### Post #1 by @gch_enbsbxbs
> **Author:** [@gch_enbsbxbs](https://x.com/gch_enbsbxbs)  
> **Metrics:** 25 likes · 1 retweets · 10 comments · 3.4K views  


> **Source Link:** [https://x.com/gch_enbsbxbs/status/2076343405702222240](https://x.com/gch_enbsbxbs/status/2076343405702222240)  


> **Visual Context:** A terminal window displays the output of a Rust-based trading bot ("rust-trading — tradingd — config") logging high-frequency arbitrage orders in red and green, showing timestamps from 2026-07-12 to 2026-07-13 with "开仓" (open position) and "平仓" (close position) actions executing multiple times per minute. This visual evidence of the script's rapid order execution aligns with the post's claim of rewriting the perp arbitrage strategy from Python to Rust, resulting in significantly improved performance and frequency of trade triggers.  

> 
> "Recently rewrote the previous perp arbitrage script  
Switched the language from Python to Rust  
The strategy has also been iterated on.  
The results are much stronger now  
In this current market, being able to trigger orders at such high frequency is a bit unexpected—the old"




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## Contributing Accounts

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