/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:- Click any ticker badge in any feed card — auto-navigates to the entity page
- Direct URL —
auramarkets.io/research/entity/NVDA - 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 — same idea, but auto-aggregated across every name in a watchlist
- Confidence tiers — what the badges in the timeline mean