What the market is watching
What is the market talking about right now?
Each tile is a stock. Its size is the stock’s share of all the attention stocks received today; its color is how that share changed from yesterday. The same map comes in other views: Sentiment colors each tile by how bullish the talk was, Net bullish and Net bearish size them by conviction, and each topic — earnings, analysts, macro — has a map of its own. Every map breaks down by sector and covers a day, a week, a month or a year.
What is gaining attention before it shows up in price?
Of the hundred most-discussed stocks today, these ten gained the most attention since yesterday. Beside each one is its share of attention, how bullish the talk about it is, and its price.
The screener is this table for every stock, ETF and cryptocurrency Rumor tracks. Every column can be sorted and filtered — attention, sentiment and topics over any period, alongside price and fundamentals — and any view can be exported to CSV.
Open the screener| # | Name | Attention | Bullish | Price |
|---|---|---|---|---|
| 1 | NVIDIA CorporationNVDA | 16.3%+11.04 | 85.8% | 238.90USD+2.12% |
| 2 | Space Exploration Technologies Corp. Class A Common StockSPCX | 13.4%+9.97 | 93.7% | 171.09USD+7.63% |
| 3 | Gamestop Corp.GME | 21.3%+8.23 | 86.5% | 25.24USD+2.19% |
| 4 | Take-Two Interactive Software, Inc.TTWO | 1.13%+1.11 | 53.8% | 203.46USD+0.36% |
| 5 | Applied Optoelectronics IncAAOI | 1.57%+0.86 | 78.6% | 121.57USD+5.17% |
| 6 | Microsoft Corporation Common StockMSFT | 2.49%+0.77 | 91.7% | 525.18USD+1.48% |
| 7 | Ondas Inc.ONDS | 0.98%+0.7 | 86.2% | 7.42USD+2.49% |
| 8 | AST SpaceMobile Inc.ASTS | 1.84%+0.42 | 83.9% | 58.44USD-0.02% |
| 9 | Walmart Inc.WMT | 0.45%+0.41 | 20.6% | 105.07USD+0.78% |
| 10 | Nebius Group N.V. Class A Ordinary SharesNBIS | 1.57%+0.39 | 62.2% | 232.57USD-4.22% |
Why is everyone talking about AAPL?
Every asset has a page like Apple’s. The chart puts price on top and the conversation underneath it: how much of the market’s attention Apple held each day, split into bullish, neutral and bearish talk. The line through the bands is the 50-day average of the bullish share, so a day that breaks from the trend stands out.
What investors are saying
An AI summary of the conversation about AAPL, October 6
- Apple's CEO John Ternus sold 25,412 shares of company stock, but the post does not provide context on the reason for the sale.
- The sales of Apple's new products are falling below expectations, marking the end of the COVID-19 replacement cycle boost from last year.
- Apple's diversified revenue streams, including laptops, watches, and services, make it a strong and safe investment opportunity, according to the post.
Also Discussed
Investors talking about AAPL also mention
| # | Name | Attention |
|---|---|---|
| 1 | Microsoft Corporation Common StockMSFT | 2.49%+0.77 |
| 2 | QUALCOMM IncorporatedQCOM | 0.19%+0.02 |
| 3 | NVIDIA CorporationNVDA | 16.3%+11.04 |
| 4 | Netflix Inc.NFLX | 0.5%-0.43 |
| 5 | Alphabet Inc. Class C Common StockGOOG | 2.02%+0.35 |
| 6 | Intel CorporationINTC | 1.46%-0.98 |
| 7 | Advanced Micro Devices Inc.AMD | 0.57%-0.93 |
| 8 | Amazon.com IncAMZN | 1.95%-0.47 |
| 9 | Meta Platforms Inc. Class A Common StockMETA | 0.07%-0.17 |
| 10 | Walmart Inc.WMT | 0.45%+0.41 |
The full page adds the topics driving the conversation, how newcomers and regulars feel about the stock, 50- and 200-day averages on every series, earnings dates, and the company’s financials.
Open Apple’s pageWhere is the market's attention moving?
Trends draws the whole market’s attention over time, split by sector, by theme (AI, software, space), by market cap, by topic or by sentiment, under an index for comparison. It is where a rotation shows up: attention leaving one sector for another over a few weeks, before the move is obvious in the index.
Keep watching the things I care about
Portfolios are the screener over your own assets: every column, sort and filter, limited to what you hold or follow.
Saved tabs keep a named view of any page — a screener filter, a heatmap, a chart — so it opens the way you left it.
The news feed filters by asset, publisher and date range.
Use it in my own tools
Everything here is also available through a REST API and an MCP server, so Claude, ChatGPT or your own script can ask Rumor the same questions this page answers.
Every asset, heatmap and screener also has a share card: an image with today’s numbers, ready to post.
How it works
Data Coverage
Public posts from across the internet. This includes popular social networks as well as smaller forums and communities. We are always adding new sources of data and when we do, we update all of our metrics to reflect the most up-to-date and accurate information.
We use public posts only to build aggregate analytics and to train models for our own use. We do not sell, display, or redistribute anyone's posts without permission.
15+ years depending upon the age of the social network, community or forum.
~7,500 stocks (NYSE, NASDAQ, NYSE American), ~6,700 ETFs, and ~190 cryptocurrencies. More than 14,000 in total.
We have collected billions of conversations, and discarded billions more as spam, bots, or off-topic noise. Each post goes through several filters before reaching our dataset.
Collection runs continuously. Posts are classified and aggregated as they arrive. Timeseries data rolls up hourly.
Models & Analysis
Every post passes through two classifiers before entering the dataset. The first is a spam filter. The second is an asset-relevance filter ensuring that we are correctly differentiating between different assets which share the same names or tickers.
Each post is classified as Bullish, Bearish, or Neutral. We train separate models for each source and asset class because the language and norms differ substantially from one community to the next.
Each post is tagged with the topics it discusses. A separate binary classifier runs for each topic — a post is either about that topic or it isn't. Topics are defined per asset class:
- Stocks: Earnings, Analysts, Announcements, Controversies, Macro, Technical Analysis
- ETFs: Macro, Technical Analysis
- Crypto: Technical Analysis, Tokenomics, DeFi, Adoption, Controversies, Macro
Daily and monthly narrative summaries per asset. They cover sentiment shifts, active topics, and what's driving discussion.
Metrics
Engagement is the total interaction count on a post — likes, replies, shares, upvotes, video views, whatever the source offers — summed into a single number. Video views count because watching a video is something a person chose to do. Impressions do not: we never count how many feeds a post happened to scroll past in. We aggregate engagement rather than post count, so a viral post with 10,000 shares is weighted more heavily than 100 posts nobody touched.
Attention is an asset's share of total engagement across all assets in its class, over a rolling window. If NVDA generates 3% of all stock engagement in a 24-hour window, its daily attention is 3%.
Net bullish = max(0, bullish engagement - bearish engagement), normalized against the total net-bullish conviction across all assets in the class — not total engagement. Assets with evenly split sentiment contribute nothing to that pool, so it's small and concentrated: a single asset can legitimately hold most of a day's net-bearish conviction. Net bearish is the inverse, and an asset is either net bullish or net bearish in a given window, never both. This is engagement-weighted — it reflects the sentiment of posts people actually interact with, not just post volume.