# $APT Social Sentiment & Intelligence — 2026-07-22 18:10 UTC

> **Asset:** $APT  
> **Momentum Status:** Stable  
> **Timestamp:** 2026-07-22 18:10 UTC (2026-07-22T18:10:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-07-22-18-10/crypto/APT  
> **Overview Brief:** https://cryptitalk.com/2026-07-22-18-10/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 1.6K
- **Likes:** 39
- **Retweets:** 4
- **Comments:** 6

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 6, Retweets: 4, Likes: 39, Impressions: 1623


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## Cited Community Posts & Evidence


### Post #1 by @reddit
> **Author:** [@reddit](https://x.com/reddit)  
> **Metrics:** 1 likes · 0 retweets · 0 comments · 100 views  


> **Source Link:** [https://x.com/reddit/status/fdb968cc22e90abbab9749f23f455f23f4a729e0206d69dde682927262c97138](https://x.com/reddit/status/fdb968cc22e90abbab9749f23f455f23f4a729e0206d69dde682927262c97138)  


> 
> "Data Sources for Day Trading

Hey guys, I have build a data report and website which generates crypto, stocks and macro data for day trading. I then have a few bots and try trade against them. What data do you guys actually trade on and what's missing ? List I currently mainly use - Momentum/structure: multi-TF RSI/MACD, relative strength vs BTC, realized-vol percentile, chop-vs-trend + position-in-range (chasing a chop-range top is our #1 loss pattern) - Regime: BTC vs 20d/50d MAs + majors breadth → risk-on/off; BTC↔Nasdaq correlation - Derivatives: OI trend, funding (live/predicted + cross-venue gap), retail vs top-trader L/S ratios, taker flow, liquidations"




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## Contributing Accounts

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