# Trend Lab - Gen AI Alt Data Research + Contextualize "Why" a Search Spiked

We have recently launched an alternative data trained AI assistant called "Trend Lab". 

<figure><img src="/files/ZGF4CM1FWzjaRbmid9uB" alt=""><figcaption></figcaption></figure>

The user can ask the chatbot to do anything - from doing research on stocks to adding keywords that would be relevant to the financial performance of a company.&#x20;

Research has never been this easy. Let's go through an example with $LLY (Eli Lilly). In the "Type your message..." box we can write something like "Add search trends for Eli Lilly's largest brands".

![](/files/J0rpaPH74SQJBEr5ryXk)&#x20;

The AI will begin processing the request.&#x20;

Upon completion, the keywords for $LLY's main drugs will just show up without any prior knowledge!&#x20;

<figure><img src="/files/V6HqnOaRXwxZENcqE6U7" alt=""><figcaption></figcaption></figure>

We can also do faster research if we wanted to be time-efficient by opening multiple chats to leave running simultaneously.&#x20;

<figure><img src="/files/dLuBXUQuOGrk33zwvu6D" alt=""><figcaption></figcaption></figure>

This way, a user can conduct more research while other tasks are still running in the background.&#x20;

Note: When writing prompts, being more specific in this case tends to work better than being too general!  - "*Add search trends for $LLY but don't include other GLP-1 brands or the word "eli lilly" itself*" is a perfectly valid prompt.&#x20;

Users can also now understand social context about why a trend spiked at any particular time.&#x20;

<figure><img src="/files/x0TcmB58MkTipWYP0icy" alt=""><figcaption></figcaption></figure>

Select the "Toolbar" option and highlight any range.&#x20;

This will show a highlight option.&#x20;

<figure><img src="/files/TWjJxVPOOM1mI11MbVMD" alt=""><figcaption></figcaption></figure>

Let's say we want to understand what was happening to "vital farms" in October 2024 to cause the massive rise in search interest it experienced.&#x20;

<figure><img src="/files/uHpXxpDJVG1tQ1GE52cJ" alt=""><figcaption></figcaption></figure>

Simply highlight the range and then follow the prompt to analyze.&#x20;

<figure><img src="/files/VSqQjcbMjB2SJ1WP2LdJ" alt=""><figcaption></figcaption></figure>

Choose "**Analyze all selected trends**". Then select the social context, news, or trend comparison options shown.&#x20;

In this case we selected "***Social Discussion Context***".  This will input the prompt we need to enter into Trend Lab.&#x20;

<figure><img src="/files/VHlzj48Ps7Crd3e0fktl" alt=""><figcaption></figcaption></figure>

And it instantly contextualizes why a search spike happened, using only information from the selected period of time. We now get the answer why!&#x20;

<figure><img src="/files/4rFvfJ0rB0gyqqnvI6H8" alt=""><figcaption></figcaption></figure>


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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://docs.tickertrends.io/tickertrends/documentation-v2/full-intelligence-suite-dashboard/full-intelligence-suite-walkthrough/trend-lab-gen-ai-alt-data-research-+-contextualize-why-a-search-spiked.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.