EquityBias turns scattered market data into one structured number per stock. A single Bias Score on a -100 to +100 scale, recalculated after every US market close and published before the next open.
Traders and analysts spend the first hour of every morning reconciling contradictions. One source points one way, another points the opposite. By the time the picture is clear, the market is already open.
The market isn't irrational. It's biased, and the bias is scattered across too many places to see clearly. EquityBias removes the reconciliation step. One number, one place, every US trading day, before the open.
The Bias Score is produced by EquityBias's proprietary multi-layer scoring engine, an ensemble model that synthesises hundreds of public market data points each session into a single composite reading on a -100 to +100 scale.
We do not publish the exact composition or weighting of the engine's internal data layers. The value comes from the combination, not the components, and from surfacing where layers disagree. What each layer is built from, which providers the data comes from, how often it refreshes and where the reading breaks down is set out on the methodology page.
A score of +100 means all four of the engine's data layers lean bullish together. -100 means all four lean bearish. Readings near 0 can indicate either market neutrality or active disagreement between data layers, surfaced separately as a divergence score that every reading carries, free readings included.
Separate from the headline Bias Score, the divergence indicator (0-100 scale) quantifies how aligned the engine's internal data layers are with each other. A high divergence reading means sources disagree even when the headline score looks decisive, useful context that most aggregate scoring approaches hide under a single number. We expose it.
The scoring engine is not static. We re-calibrate the layer weights on a rolling basis as market regimes shift, since what described one regime well does not necessarily describe the next. Calibration changes are applied methodically and never retroactively to historical scores.
EquityBias publishes structured data summaries built for multi-day context, not same-day timing. Users remain responsible for their own decisions.
Data collection runs after US market close (~22:00 CET). The scoring engine processes all covered equities overnight. New scores are published and visible in the platform by 14:30 CET, approximately one hour before the next US market open.
550+ US-listed equities, primarily large-cap and blue-chip names, including S&P 500 constituents and selected high-volume Nasdaq names. European and Asian coverage is planned for a future release.
EquityBias is operated from Denmark. Pricing is in USD; payments are processed via Lemon Squeezy as merchant of record, handling EU VAT and tax compliance across jurisdictions.
The quickest way to judge the score is on a real one. Every covered stock has a public page, for example NVDA, and the divergence board shows where the four layers disagree most across the market. Both run a few trading days behind.
For common questions, see the FAQ. For definitions of platform terms, see the glossary.
Last updated: 2026-09-23
Name up to five stocks you hold or follow. You see the Bias Score and divergence on each straight away, and the four-layer report follows by email, so you judge the tool on your own positions instead of ours. Sign up with the same address later and those five stay on your free dashboard.
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