How it works

Two actions, and they answer different questions

Scan and Deep Analyze solve different problems. The scan creates a sentiment shortlist; Deep Analyze evaluates one selected ticker and produces a separate action recommendation.

Step 01

Scan a sector

Choose a sector to find stocks receiving unusual recent social attention. Scan results use only Bullish, Bearish or Neutral sentiment — no recommendation is produced here.

Step 02

Select one ticker

Review the shortlist, price context, sentiment and evidence availability. No Buy, Watch or Avoid recommendation appears at this stage.

Step 03

Run Deep Analyze

Analyse the selected ticker to receive Buy, Watch or Avoid, confidence, key reasons, risks, and the evidence behind the result.

Why the two are kept apart

Finding a candidate and judging one are different jobs, and merging them is how a shortlist starts reading like a set of recommendations. A scan tells you where discussion is unusual. It does not tell you to buy anything, and it deliberately cannot: the strongest thing a scan row can say is Bullish.

Only when you ask about a single company does the tool commit to Buy, Watch or Avoid — and it shows the reasoning, the risks, and what evidence the call rests on, so you can disagree with it on specifics rather than on faith.

What each label means

Label	Where it appears	Meaning
Bullish / Bearish / Neutral	Market Scan	The direction of measured sentiment for that ticker. A shortlist signal, not a recommendation.
Single mention	Market Scan	Seen once in the sampled discussion. Too little to score, so no sentiment is asserted.
Limited signal	Market Scan	Seen twice. Still below the floor for a sentiment reading.
Buy	Deep Analyze	Supportive signals and catalysts, with risks noted.
Watch	Deep Analyze	Mixed signals; needs confirmation.
Avoid	Deep Analyze	Weak or unstable setup, or elevated red flags.
Confidence	Deep Analyze	How consistent and complete the available evidence is. Not a probability of gain.

Buy, Watch and Avoid are shorthand for short-term trade triage. They are not guarantees — think of them as a structured second opinion, then confirm with your own checklist.

How the signal is formed

Analysis draws on recent public posts from X together with market-price and ticker-reference data. Coverage and availability vary by ticker, source and timeframe — social evidence is a sampled discussion set, not an exhaustive or independently verified one.

Recent social corpora and closing-price data may be cached for reliability and rate-limit management, and cached scan context is age-labelled so you can see how fresh the underlying discussion is. Missing values are shown as unavailable rather than estimated.