How it works
Methodology
Mentioned reads public stock posts and scores them. It publishes what still clears the filters after coordinated accounts are down-weighted. Updated whenever the methodology changes. Last updated: May 30, 2026.
In plain terms, this is discourse analysis on public forums: what tickers appear, how often, and which words and phrases repeat. It is not a model of fair value, not a price target, and not a prompt to trade.
What we monitor
We monitor a rotating set of public discussion surfaces where retail market talk concentrates. The exact source list and endpoints change as sources evolve. The public site stays source-agnostic on purpose. The product is the aggregate rollup, not a map to raw feeds. New posts are pulled on a fixed cadence through permitted public or platform-provided access paths.
How posts are analyzed
Each post runs through a structured pipeline. Tickers are extracted and normalized, then screened against a broad false-positive list so ordinary words, indices, currencies, and forum slang do not dominate the feed. We surface recurring topic keywords so briefs stay anchored to the aggregate discussion pattern, not a one-word market call.
As the system matures, additional model-assisted summaries may be added behind the same rule: public output stays aggregate, source-agnostic, and explicitly not financial advice.
Coordinated pump detection
Coordinated promotion leaves footprints. We combine several heuristics. No single score decides on its own. They include:
- Account age versus posting velocity
- Comment-to-post ratio anomalies
- Cross-source posting patterns in short windows
- Time-of-day clustering relative to baseline
- Poster reputation trajectory versus typical organic curves
- Linguistic similarity to other recent posts pushing the same tickers
These heuristics flag suspected coordinated activity. Flagged posts are still stored for audit, but excluded from trending calculations so the surface signal stays cleaner.
How trending is calculated
The current public feed ranks tickers by aggregate mention count inside the latest stored window and attaches repeated keyword clusters. Snapshot freshness is shown in the app so users can distinguish current, stored, and unavailable states. More advanced baseline math can be added later, but the public page does not imply a formula that is not active in production.
What we report
Daily briefs summarize top movers and dominant topic keywords when the product has enough data to support them. Trending updates list aggregate ticker counts, repeated keywords, and the feed window. The agent never adds buy or sell language. It does not attach price targets or personal guidance.
What we do not do
- We do not issue buy or sell recommendations
- We do not generate price targets
- We do not give personal advice
- We do not trade ahead of subscribers
- We do not sell user data
- We do not track which tickers individual subscribers privately watch in order to build positions
Limitations
The agent is useful for detecting mention trends early. It does not predict which trends become price moves. We do not claim it does. Sophisticated coordinated actors can still evade heuristics for a window. Output quality depends on what is publicly readable. Private chats, paywalled rooms, and offline flow are invisible.
How this page changes
When methodology changes, we update this page and keep material implementation changes versioned in the repo that powers the agent so there is a paper trail.