> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/3.-unified-screener-kpi-forecasts-trackers-data-source-kpis-exploding-trends-upcoming-earnings/catalyst-feed.md).

# Catalyst Feed

Review detected events and narrative changes for research follow-up.

{% hint style="info" %}
The Catalyst Feed is available to Enterprise users.
{% endhint %}

### Catalyst Feed

The Catalyst Feed surfaces detected events and narrative changes for research review. Use it to prioritize follow-up work.

### What it shows

Each result provides context for a detected catalyst, including:

* The related company
* The affected signals
* The event timing

Catalysts can include launches, partnerships, promotions, campaigns, platform shifts, or broader cultural moments.

<figure><img src="https://3154453413-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ft5RjqjXylbZA9Pzar20p%2Fuploads%2Fu8KHbkeULmh7EiLfThpH%2Fimage%20(14).png?alt=media&amp;token=9046e7c7-d84f-4d8e-9bf9-6a52a507d6b8" alt=""><figcaption></figcaption></figure>

### How to use it

1. Review the newest catalysts for relevant companies or sectors.
2. Open a result to assess the related social discussion and signals.
3. Validate the event against KPI tracking, forecasts, or underlying data.

Classifications and related signals are analytical indicators. Review underlying context and independent sources before drawing conclusions.

### Use cases

* Surface events for further research.
* Prioritize review around relevant milestones.
* Investigate narrative changes in available data.