# Trend Analyzer

Trend Analyzer empowers <mark style="color:purple;">**ASKNOEL**</mark> to extract **real-time insights** from **X (formerly Twitter)** by identifying **trending topics**, monitoring **project mentions**, and analyzing **sentiment dynamics**. This tool tracks the evolution of **cryptocurrency-related discussions**, offering **actionable intelligence** on **market sentiment**, **social engagement**, and **emerging narratives**.

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#### <mark style="color:purple;">**Key Features**</mark>

* **Trending Topic Extraction** – Identifies frequently mentioned **tokens**, **hashtags**, and **discussions** within the crypto community.
* **Project-Specific Monitoring** – Tracks **mentions** and **engagement metrics** for specific assets, DeFi projects, and protocols.
* **Sentiment Analysis** – Utilizes **NLP models** to classify **sentiment** as **positive**, **neutral**, or **negative**, based on ongoing and historical trends.
* **Engagement Metrics** – Analyzes **tweet volume**, **retweets**, **likes**, and **influencer interactions** to gauge the **social impact** of discussions.
* **Historical Sentiment Trends** – Stores and compares **past sentiment data** to identify **long-term shifts** in market perception.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://asknoel.gitbook.io/docs/asknoels-tech/noels-intelligence/trend-analyzer.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.