Is analyst revision breadth the same as upgrades and downgrades?

They overlap but differ. Ratings changes are discrete and fairly rare, while EPS and revenue estimate revisions happen constantly and in finer increments. Most revision-breadth series are built primarily on estimate changes.

Where does the data come from?

Consensus databases such as LSEG (I/B/E/S), FactSet, Zacks, and S&P Capital IQ, plus bank research portals publishing house revision indices. Free sites usually show single-stock consensus snapshots, not breadth history.

Does revision breadth lead price?

Not reliably at the index level; analysts often revise after companies guide, so the series can lag turns. The better-documented edge is cross-sectional: stocks with persistent upward revisions have tended to outperform peers, though the factor has long weak stretches.

How is it different from price breadth?

Price breadth measures participation in a move; revision breadth measures whether the expectations behind it are being raised or cut. Together they show whether a trend has fundamental backing or runs on sentiment alone, which is why desks pair them with gauges like the Fear & Greed Index.

Concept

Analyst Revision Breadth

Analyst Revision Breadth is a Breadth, Sentiment & External Data concept. A reference entry: the Library explains it rather than implements it.

What is analyst revision breadth?

Analyst revision breadth measures the balance between upward and downward changes in sell-side forecasts across a universe of stocks. Rather than how far the average estimate has moved, it asks how many names are seeing estimates raised versus cut, usually as a net revisions ratio: upward minus downward revisions relative to the total over a trailing window such as four weeks or three months.

The inputs are consensus-estimate databases timestamping individual analysts' EPS and revenue forecasts, ratings, and price targets. Aggregators such as LSEG (I/B/E/S), FactSet, and Zacks maintain these histories, banks publish house revision indices by region and sector, and the same data feeds single-stock estimate-momentum factors.

Conceptually it is breadth applied to expectations rather than prices. Where advance/decline internals count how many stocks are rising, revision breadth counts how many businesses analysts are re-rating upward. Divergences between the two are the interesting part.

Why there's no indicator for this

No honest chart indicator can compute this; the raw material never touches the tape. Revision breadth needs a licensed estimates database: thousands of timestamped analyst forecasts with point-in-time, survivorship-bias-free history across an entire universe. Vendors compile that data under commercial licenses that restrict redistribution. Price and volume record the market's reaction to revisions, never the revisions themselves, so nothing derived from candles can reconstruct the series.

Vendors do sell aggregate revision scores, and some platforms display them as external data feeds; that is licensed data being plotted, not an indicator calculation. A price-based proxy such as relative strength can capture the drift that often accompanies sustained upgrades, but it cannot distinguish improving expectations from pure multiple expansion.

How to read a revision breadth series

Given access through a terminal or data vendor, the reading discipline matters more than the exact construction.

1Check the universe and window first; a four-week S&P 500 series behaves differently from a three-month global one.
2Weight direction over level; a turn higher from deeply negative territory is generally read as more meaningful than the absolute number.
3Account for the earnings calendar; revision activity clusters around reporting seasons, and quiet weeks can flatten the series.
4Confirm against price breadth like the share of stocks above the 200-day average to see whether the market tracks or ignores the expectations shift.

How traders use it

Earnings-cycle context: broad, persistent upward revisions read as an earnings upcycle supporting risk-taking, while broad deterioration is a fundamental headwind even when price holds up.
Sector rotation: comparing revision breadth across sectors flags where expectations are inflecting, often paired with ratio charts to time the relative trade.
Divergence checks: a rally with negative revision breadth is handled more defensively than one confirmed by estimates, much as traders treat weak net new highs on the price side.
Screens: single-stock revision momentum is a well-documented quantitative factor, so persistent upgrades put names on watchlists early.

Revision breadth vs price-based breadth

Advance/decline Internals: Counts advancing versus declining issues each session: participation in price, versus the expectations behind price.

% Stocks Above 20/50/200-day MA: Shows how much of the market holds trend structure; pairing it with revision breadth tests whether trends have fundamental backing.

Concept family

Breadth, Sentiment & External Data

63 concepts mapped · 63 in the Library