Attention: research and social buzz (ATTN, BUZZ)
ATTN ranks the tickers Gloom users are researching against each ticker's usual level, and BUZZ counts the day's posts on X naming a ticker, with the top posts and their stance.
- 4 min
- 3 questions
- Lesson 4 of 4
Why you would care
Is anyone paying unusual attention to this stock? Prices often move after attention spikes: a stock nobody looked at suddenly trends, and buyers follow. Sometimes the attention is the news itself (a viral post); sometimes it is a reaction to news you missed. Attention is a clue, never a reason. This lesson is about reading it without being fooled by it.
The idea from scratch
Two kinds of attention:
Research attention
people opening a stock's pages (overview, financials, options...). It shows what investors are studying.
Social attention
people posting about a stock. On X, posts name tickers with a cashtag, the ticker with a dollar sign:
$NVDA.
A raw count means little: a mega-cap is always studied more than a small company. What matters is abnormal attention: today versus the stock's own usual level.
The tool for that is a z-score: how many standard deviations today's value sits above its usual average.
Traps
- Bots and spam inflate social counts.
- Privacy rules: research attention is published only when enough distinct people looked (so no one can be identified); small names may show nothing. Missing is not zero.
- Attention follows price as often as it leads it.
See it in Gloom
open themtype ATTN for the board, ATTN 6758:JPX for one listing's history; BUZZ TSLA for social posts.
ATTN (keys: Enter open, e evidence, d overview, g chart, n news):
- Views: Ranking (most researcher-hours), Abnormal (highest latest-hour z-score), Sectors, Countries, History.
- Periods: Now (the latest completed hour), Today (since midnight UTC), Week (the last 168 hours).
- Four summary figures: total research hours, how many tickers have a z-score of 2 or more, the top sector and the top country.
- Evidence: the publication delay and threshold, the price change and relative volume, and dated news from the same time.
BUZZ TSLA (keys: Enter open, o open the post):
- The day's count of posts naming
$TSLAagainst its 30-day median. - The top posts of the day and their stance, a score from -1 (bearish wording) to +1 (bullish wording), also averaged per day.
Practice and recap
Try it3 tasks
- A ticker's research hours jump from 30 to 60, with a usual spread of 10. z-score? (3.)
- Why compare a stock's attention with its own history rather than with other stocks? (Big companies always get more attention; only the change from normal is informative.)
- Name one reason a social spike could be meaningless. (Bots, spam, a meme unrelated to the business.)
Common mistakes4 mistakes
- Treating attention as a buy signal.
- Reading a missing value as zero attention (it may be below the privacy threshold).
- Forgetting the lag: research attention is at least an hour old.
- Trusting the stance of a few loud posts.
Check yourself3 questions
- What is a cashtag?
- What does an abnormal (z-score) ranking show?
- Why are some tickers missing from
ATTN?
Answers
- A ticker written with a dollar sign in a post, like $NVDA.
- Tickers whose latest attention is far above their own usual level for that hour.
- Their hourly activity did not reach the minimum number of distinct researchers required for publication.
Words in this lesson6 words
- research attention
- How much people are studying a stock's pages.
- cashtag
- A ticker with a dollar sign in a social post.
- z-score
- How many standard deviations a value is above its usual average.
- abnormal attention
- Attention far above a ticker's own normal level.
- stance
- A score from -1 (bearish) to +1 (bullish) for a post's wording.
- privacy threshold
- The minimum number of distinct people before a count is published.
Educational material about reading market data, not investment advice.