Verified · public record
Nov 17EarningsYahoo FinanceMember research network
Follow the thesis, not the engagement bait.
Wook connects member posts, ticker pages, bullish and bearish reactions, market headlines, profiles, follows, stories, and messaging in one research-focused network.
Live · the four signals, unmixed
$NVDA as four separate readings
Automated · headline tone
6/5/31Bullish / bearish / neutral across 42 headlines.Keyword classification of wording. Not a forecast, and nobody’s opinion.Member · conviction
No votesNobody has taken a side on this name yet.Reported as empty, never averaged in as neutral.Member · written thesis
None yetNo member has written this one up.This network is new. The slot stays empty rather than filled.Four readings, four reliabilities, never averaged into one score — a filing date and a keyword count are not the same kind of fact, and a blended number would hide which one you were relying on. Measured when this page rendered.
Four signals that are never averaged together
Most market apps blend everything into one score. Wook keeps these apart deliberately, because they answer different questions and have wildly different reliability. A page can show all four at once and still make clear which is which.
01Verified public evidence. Filings, capacity and inventory series, import reliance, insider transactions. Each keeps its source and the date the underlying data is from. Slow-moving annual series are labelled as such rather than presented as current.
02Automated headline tone. Deterministic keyword classification of a story's language. It is labelled “automated tone” everywhere it appears, because it describes the wording of a headline and nothing more — not a forecast, and not anybody's opinion.
03Member conviction. Explicit bullish and bearish votes from named accounts, shown with the count behind them. Never merged into the automated tone above, and never presented as a consensus when three people voted.
04Written theses. A member's actual argument, tagged to the tickers it concerns so it lives on the company's research page rather than scrolling away. It stays until its author removes it.
Why a thesis outlives a timeline
A post tagged to a ticker attaches to that company's research hub permanently. Six months later, the argument and its date are still there next to the price — which is the only honest way to find out whether someone was right. A feed that buries yesterday's call makes everyone look prescient.
Reach is not a signal
Popularity is not accuracy. Vote counts are shown as counts, not as a verdict, and a badge on an account is not evidence for a position. Members may hold, trade or promote what they discuss — that is disclosed as a standing condition of reading the feed, not buried.
An early network, described accurately
This network is new and small. There is no synthetic activity here, no seeded accounts and no imported content: what you see is what members have actually written. That means the feed is quiet, and it is worth saying so rather than dressing a handful of posts as a movement — a research tool that misrepresents its own sample size has already told you how much to trust its other numbers.
See the slots filled on the names you follow
A free account puts your own thesis in that fourth box, attached to the ticker and dated, where it can be read against what the price did next.
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