Reference definitions for the terms used across the EquityBias platform. Each term has a short summary followed by an extended definition with context.
A single number from -100 to +100 summarising current market data per US equity.
A composite reading from -100 to +100 produced by EquityBias's proprietary multi-layer scoring engine. Synthesises hundreds of public market data points per stock per session into one comparable number. +100 = all four data layers lean bullish together. -100 = all four lean bearish. Near 0 = either market neutrality or active disagreement between the layers (see "divergence" for the latter).
A 0-100 indicator of how much the scoring engine's internal signals disagree.
Separate from the Bias Score, divergence quantifies how aligned the scoring engine's internal data layers are with each other. Low divergence (e.g. 12) means the layers point the same direction, so the headline Bias Score is well-supported. High divergence (e.g. 68) means they contradict each other, so treat the headline with extra caution. Available to Premium subscribers.
A measure of how rich the underlying data was when computing the score.
Some stocks have rich, well-distributed data sources to draw from (heavy coverage, deep markets, frequent news). Others have sparser data, typically smaller caps and recent IPOs. Confidence reflects how much information went into a given score. A low-confidence reading means there was simply less to work with, not that the score is wrong. Available to Premium subscribers.
The internal components of the scoring engine that combine into the Bias Score.
The Bias Score is produced by an ensemble model with multiple internal data layers. Each layer processes a different dimension of public market data. We publish which categories of data feed each layer and where that data comes from, on the methodology page. We do not publish the composition or the weighting. Those are proprietary to EquityBias. Premium subscribers see a qualitative breakdown of how the layers are aligned for each stock.
Synonym for Bias Score: the unified -100 to +100 reading.
Used interchangeably with "Bias Score" across the platform. Emphasises that the score is composed by combining multiple internal signals rather than relying on a single indicator.
The badge saying why a stock came up today. There are eight.
Every read carries one lens: Divergence, Breakout, Momentum Shift, Sector Outlier, Analyst Split, High Conviction, Full Alignment, or Fresh Read. It is the shortest honest answer to "why this stock, today", and it is chosen from the same reading that ranks the stock, so the badge and the reason it surfaced cannot disagree. A lens describes what the data did. It is never a view on what to do about it.
A sharp move that landed at the far end of the scale.
A lens for reads where the Bias Score both moved sharply since the previous session and finished somewhere extreme. The distinction from Momentum Shift is the landing, not the move: a score travelling from -40 to -10 has moved just as far, but it has arrived somewhere unremarkable. Breakout requires both halves.
Analyst coverage reading against the rest of the data.
A lens for reads where the analyst layer points one way and the other three point the other. The sell-side view is the one input built on opinion rather than measurement, so when it stands alone it is worth seeing rather than averaging away.
A stock that surfaced today without a stronger story behind it.
The lens a read carries when none of the other seven apply: the stock came through the daily scan and has not been featured recently, but the data is not doing anything a reader would call a story. It is the honest label for an ordinary day, and it exists so the other seven keep their meaning.
A significant overnight change in Bias Score for a stock.
A lens for reads where the Bias Score moved meaningfully between yesterday's close and today's open, typically driven by overnight news, analyst revisions, or post-close earnings. Identifies stocks where the data picture has changed quickly.
When the scoring engine's data layers all point the same direction.
A lens for stocks where every internal signal layer points in the same direction (all bullish or all bearish). Coincides with low divergence: the headline Bias Score is well-supported by every underlying signal layer.
A stock moving against its sector's broader trend.
A lens for stocks where the Bias Score diverges meaningfully from the sector aggregate: a broadly bullish stock in a falling sector, or vice versa. Highlights potential idiosyncratic stories worth investigating.
A score with both high absolute value and high confidence.
A lens combining a high-magnitude Bias Score (high absolute value) with high confidence (rich underlying data). The data picture is both clear and well-supported. Note: this does NOT mean "high probability of moving up/down". It means the current data is unambiguous.
End-of-day. The Bias Score updates after US market close.
End-of-day. EquityBias is an EOD product: data is collected after US market close (~22:00 CET), scores are recalculated overnight, and new readings publish before the next US open. We do not provide intraday updates.
The scoring engine is periodically re-tuned as market regimes shift.
The scoring engine is not static. We re-calibrate the engine on a rolling basis as market regimes change, since what was predictive in one regime is not necessarily predictive in another. Re-calibrations are applied methodically and never retroactively to historical scores. Specific timing, methodology, and parameter changes are not disclosed.
The set of US equities scanned and scored daily by EquityBias.
EquityBias monitors 550+ US equities, primarily large-cap and blue-chip stocks. This is the complete universe across which all Bias Scores are computed daily. Free tier users see a sampling of this universe through daily reads. Premium and Trader tiers can access full market scans, sector views, and detailed analysis. Trader tier users can build a personal portfolio by selecting up to 30 stocks from the complete universe for continuous tracking.
Relative Strength Index, a 0-100 momentum oscillator measuring the speed of recent price movement.
RSI compares the size of recent gains to recent losses over a rolling window, typically 14 sessions. Readings above 70 are conventionally called overbought; below 30, oversold. These labels describe a past data state, not a scheduled reversal. RSI divergence, when price and RSI move in opposite directions, is one of the most studied setups in technical analysis. RSI feeds into the technical momentum dimension of the EquityBias Bias Score.
Full article: RSI Explained: What Overbought and Oversold Actually Mean →
Moving Average Convergence Divergence, a momentum indicator built from two exponential moving averages.
MACD is calculated as the difference between a 12-period and 26-period exponential moving average (EMA). A 9-period EMA of the MACD line, called the signal line, generates crossover signals. The histogram shows the gap between MACD and signal line, making changes in momentum visible before lines cross. MACD works best in trending markets and produces more noise in sideways conditions.
Full article: MACD Explained: Momentum, Signal Lines, and What Crosses Mean →
The total count of shares currently sold short as a fraction of the float.
Short interest measures how many shares have been borrowed, sold, and not yet bought back, expressed as a percentage of the stock's float. High short interest (above 20% of float) reflects concentrated bearish positioning from active participants. The short interest ratio, shares short divided by average daily volume, measures how many days it would take all short sellers to cover their position. High readings amplify the potential impact of a short squeeze. US short interest is reported twice monthly via FINRA.
Full article: Short Interest: How Bearish Bets Shape a Stock's Market Bias →
A sell-side research firm's summary opinion on a stock, typically paired with a price target.
Analyst ratings (buy, hold, sell, and their equivalents: overweight, neutral, underweight) are produced by sell-side research teams and represent one firm's summary view on a stock's relative attractiveness. Ratings are not standardized across firms, arrive on different timescales, and often lag events due to publishing constraints. Consensus, the average of all outstanding ratings, carries more signal in its direction of change than in its absolute level. Analyst activity is one of the dimensions synthesized into the EquityBias Bias Score.
Full article: How to Read Analyst Ratings (and Why They Disagree) →
The number of shares traded in a session, compared to its recent average.
Volume tells you how much conviction is behind a price move. A breakout to new highs on 3x average volume has broad market participation. The same breakout on 30% of average volume is fragile and often reverses. On-balance volume (OBV) accumulates volume on up days and subtracts it on down days to track whether institutional buying or selling is dominant. Volume is one of the technical inputs that feeds into the momentum dimension of the EquityBias Bias Score.
Full article: Volume in Trading: What Big Moves Without Volume Actually Signal →
The prevailing mood of market participants toward a stock, sector, or the broader market.
Market sentiment is not a single number but a collection of data points: put/call ratios, investor surveys (such as the AAII weekly sentiment survey), implied volatility (VIX), and news tone analysis. Sentiment is most useful at extremes, where it functions as a contrarian indicator, but timing reversals from sentiment data alone is unreliable. For individual stocks, sentiment includes news flow analysis, short interest, and options activity specific to that name. News sentiment is one of the dimensions in the EquityBias Bias Score.
Full article: Market Sentiment: What It Is and How to Measure It →
For methodology context see About EquityBias, and for common questions see the FAQ.
Last updated: September 2026
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