Every stock with live analyst coverage becomes a point on a Street-vs-Engine map: Wall Street's rating flow and price targets (via Polygon.io × Benzinga) fused with the QL signal engine and the technical tape, then clustered into twelve named regimes. Right of the line, the Street is bullish; above it, the engine is. The corners are where the money is made — and lost.
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◉ bubble = one stock (click for detail)✦ = cluster centroidshaded hull = cluster territorysize = target upside or market cap1.0×
Crowd × Engine — sentiment parity (the third judge: news-crowd sentiment vs the QL engine, same 0–100 scale)
diagonal = crowd and engine in agreementabove the band = engine ahead (quiet conviction)below = crowd hotter (hype watch)size = news volume
Alpha Score distribution — where the cohort stacks up
Sector × Regime — where conviction concentrates
The twelve regimes (fingerprint = this cluster's signature across all six factors)
Build a profile — which regime would it land in?
Dial the six factors and the board tells you which of the twelve fingerprints the profile is nearest to. This is a match against the published cluster averages, not a forecast: it answers “what kind of name is this”, never “what will it return”.
Highest-conviction names (top 60 by QL Alpha Score — click a row for detail)
#
Ticker
Name
Cluster
QL Alpha
Street
Firms
Target upside
Engine
20d mom
RSI
Price
Day
The avoid list (bottom of the cohort by QL Alpha Score)
Ticker
Name
Cluster
QL Alpha
Street
Target upside
Engine
20d mom
Regime flow (where names moved since the previous snapshot)
Transition matrix — from (rows) → to (columns)
Notable moves — biggest changes in conviction
Regime population (how the board's composition has shifted)
Did the regime pay? (realized return of the names we labelled, forward-only)
Every name's move is attributed to the regime it held at the start of the interval — never relabelled afterwards. A regime with fewer than three observations reports nothing rather than a number built on one name.
Regime
Observations
Avg move
Win rate
Best
Worst
Hold rate
Median stay
Method
Street layer: every analyst action in the trailing window from the Polygon.io × Benzinga ratings feed — upgrades, downgrades, initiations and price-target changes across the whole market. The latest action per firm sets a name's consensus level (so one loud firm counts once); all actions set the revision tilt; the median price target sets the implied upside.
Engine layer: the QL signal overlay — the same per-ticker composite score, RSI and 20-day momentum that power the screener and bubble map.
Clustering: each name becomes a 6-feature vector (Street level, target upside, revision tilt, engine score, momentum, RSI position), z-normalized over the cohort and grouped by a deterministic, archetype-seeded k-means. Clusters are named by the archetype their final centroid lands nearest.
Crowd layer: the same news-sentiment blend that powers the signals overlay, mapped to the engine's own 0–100 composite scale so the two are directly comparable. It is deliberately NOT a clustering feature or a score input — Street, Engine and Crowd are three independent judges, and the parity chart exists to show where they split.
QL Alpha Score: an explainable 0–100 blend — engine score 24 pts, consensus level 11, revision tilt 7, target headroom up to 12, momentum up to 6, with an overbought haircut.
This is a research view, not advice; analyst data via Polygon.io.