Every stock, ETF, commodity and macro mention we extract from the tracked subreddits, scored for sentiment and rolled up daily. Filter by community to see what each crowd is actually talking about. Method details in the methodology.
Authors is a ceiling, not a headcount: the daily rollup counts distinct authors inside each community-day, so one person active in two subreddits — or on two days — is counted in each. Mentions, posts and comments are exact. Bullish share and the post-to-comment mix follow the community picked above — all communities when nothing is picked — and bullish reads the same indicative model as the chart's bullish line.
Biggest mention spikes — last 24h vs the 24h before
Mention spikes with suspiciously low author diversity — the crowd patterns that look organised rather than organic.
The overview hero ranks today's most-discussed assets across every signal, Reddit included.
One stated finding each for the US, Australia and UK desks over the last complete week, with the count behind it.
Who's unusually loud on Reddit — and whether it's still building. Every name is compared to its own usual chatter for this hour of day (30-day baseline), so a quiet small-cap breaking its normal outranks a big name having a normal Tuesday. Raw-count boards can't see that.
Intraday · as of the hour ending 09:00 UTC · refreshed hourly
Still building: SPX · NVDA
Names where a day's mentions came from an unusually small set of accounts. How flagging works.
No flags today
Patterns in how tickers move together across Reddit mentions. What moved together, the focal view, the grid, and the searchable table — one page. Updated nightly.
Top 30 terms by mentions · last 30 days
| # | Term | Share of the loudest | Mentions | |
|---|---|---|---|---|
| 01 | Inflation | 6,081 | ||
| 02 | S&P 500 | 4,266 | ||
| 03 | Iran | 3,629 | ||
| 04 | Interest Rate |
| 50 |
| +525% |
| +0.11 |
Every hour we count how often each name comes up across the subreddits we track. Instead of ranking raw counts (big companies would always win), we compare each name's count to its own typical count for this hour of day, averaged over the last 30 days. The score is how many spreads above normal this hour is; “building / fading” compares this hour's score to three hours ago. We filter out rows with fewer than 5 mentions or 3 distinct authors, and names that average under 0.5 mentions an hour — too quiet to score honestly. When most mentions come from very few accounts we flag it instead of hiding it. Sentiment comes from the pipeline described in Methodology.
The 90-day window holds 2 episodes across 2 tickers — 2 flagged days in all.
| Ticker | Window | Days flagged | Peak day | Peak vs 14-day avg | Worst concentration | Top subreddit |
|---|---|---|---|---|---|---|
| BYNDBeyond Meat | Aug 7 | 1 | 41 mentions · 5 accounts | ×6.4 | 88% | r/wallstreetbets · 100% |
| SPCEVirgin Galactic Holdings | Aug 7 | 1 | 38 mentions · 5 accounts | ×6.0 | 87% | r/wallstreetbets · 100% |
01A day is flagged when a ticker draws at least 30 tracked mentions and the distinct accounts behind them number under 15% of those mentions.
02Two figures travel with every flag: the peak day set against its trailing 14-day average, and the share of the day's mentions sitting in the top subreddit.
03A flag is a measured concentration pattern, not proof of coordination — aggregates only, account names never render. Full methodology.
Auto-curated each night: the strongest pair, the strongest inverse, the most unusual macro-vs-ticker link, and the sector cluster gaining strength — stated, with the figures that back them.
CMG and SBUX moved as one. Pearson +0.99 over 27 shared days of daily mention counts — when the crowd talked about one, it talked about the other.
GLD and SIMS traded places. -0.66 over the same window — when one trended up in chatter, the other tended to fade.
PPI chatter moved with TSM. +0.95 — a macro theme and a single ticker moving together, the board's most unusual pairing.
Consumer Cyclical is tightening. 2 tickers — CMG and SBUX — same-sector names showing high mutual correlation.
GOOGL is the most-mentioned ticker over the last 30 days with at least four qualifying peer correlations. Each row is a symbol whose daily mention count moved with it — bar length is correlation strength. View GOOGL profile →
Pairs of the top 16 most-mentioned tickers, coloured by 30-day Pearson correlation on daily Reddit mention counts — the 12 symbols shown carry every computed pair in the set. Darker orange = stronger positive (mentions move together); darker gray = stronger inverse. An empty cell means no computed pair — nothing renders without a value.
GOOGL | SPCX | inflation | TSLA | META | NVDA | ANTHROPIC.PRV | MSFT | AMZN | QQQ | SPX | GOOG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
GOOGL | +0.98 | |||||||||||
SPCX |
Type a ticker to search every stored pair from last night's run — the count updates live. An empty search holds the 800 strongest pairs.
| 2,623 |
| 05 | Recession | 1,975 |
| 06 | KOSPI | 1,577 |
| 07 | Nasdaq Composite | 1,450 |
| 08 | Treasury | 1,441 |
| 09 | AI Bubble | 1,349 |
| 10 | VIX | 1,054 |
| 11 | Treasury Yields | 1,053 |
| 12 | Unemployment Rate | 1,029 |
| 13 | Reserve Bank Of Australia | 1,007 |
| 14 | Russia | 944 |
| 15 | Rate Hike | 831 |
| 16 | Federal Reserve | 813 |
| 17 | Tariffs | 808 |
| 18 | Black Monday | 781 |
| 19 | Big Tech | 634 |
| 20 | US 10-year Treasury | 576 |
| 21 | Depression | 532 |
| 22 | France | 516 |
| 23 | War | 462 |
| 24 | PPI | 453 |
| 25 | Dow Jones | 397 |
| 26 | Magnificent Seven | 356 |
| 27 | Middle East | 317 |
| 28 | Israel | 311 |
| 29 | 2008 Financial Crisis | 310 |
| 30 | ASX 200 | 310 |
inflation |
|---|
TSLA |
|---|
META |
|---|
NVDA |
|---|
ANTHROPIC.PRV |
|---|
MSFT |
|---|
AMZN |
|---|
QQQ |
|---|
SPX |
|---|
GOOG | +0.98 |
|---|