> ## Documentation Index
> Fetch the complete documentation index at: https://auramarkets.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Entity & ticker pages

> Every mention of a ticker, in one timeline.

The **entity page** for any ticker (e.g., `/research/entity/NVDA`) is a single timeline of every research item that has mentioned that name across Substack, X, and YouTube.

Useful when you're about to make a decision on a name and want to know what the smart-money writers and operators have been saying — without having to remember which Substack newsletter covered it last month.

## How to get there

Three ways:

1. **Click any ticker badge** in any feed card — auto-navigates to the entity page
2. **Direct URL** — `auramarkets.io/research/entity/NVDA`
3. **From the Single Names modal** — when you click a ticker in your watchlist, the side panel includes a research tab

## What's on the page

### Header

* Ticker, company name, current price, 1D / 1W / 1M change
* Recent macro context for the name (sector, industry, market cap)

### Timeline of mentions

Every piece of research that mentioned this ticker, sorted by recency by default.

For each mention:

* Source (Substack / X / YouTube)
* Author + publication
* Snippet showing the context the ticker appeared in
* Confidence badge
* Whether it was a **primary** mention (the piece was *about* this name) or **mentioned** (passing reference)

### Filters

* **Primary only** — hide passing references. Useful when a name shows up in 50 macro pieces but you only want the 5 deep-dives.
* **Confidence floor** — hide low-confidence noise.
* **Date range** — last 30 / 90 / 365 days, or custom.

### Aggregate view

A small panel showing:

* **Mention count** over time (sparkline) — useful for spotting attention spikes
* **Sentiment shift** if detectable
* **Top authors** who've covered this name most frequently

## How to use it

* **Pre-trade research** — before adding a position, hit the entity page. 10 minutes of skimming the last 30 days will tell you what the bull and bear cases are.
* **Track attention** — when mention count spikes, something's brewing. The sparkline is a thin signal but useful.
* **Find your authors** — the "top authors" panel surfaces who covers this name well. Follow them on Substack/X if you don't already.

## Related

* [Watchlist matches](/research/watchlist-matches) — same idea, but auto-aggregated across every name in a watchlist
* [Confidence tiers](/research/confidence-tiers) — what the badges in the timeline mean