Common questions about the Bias Score, divergence indicator, and how EquityBias differs from trading services, screeners, or research reports.
A Bias Score is a single number from -100 to +100 that summarises where current market data points for a given US-listed equity. It is produced by EquityBias's proprietary multi-layer scoring engine, which synthesises hundreds of public market data points each session into one composite reading per stock. A score of +100 means all four data layers lean bullish together. -100 means all four lean bearish. Values near 0 can mean either market neutrality or active disagreement between the engine's internal data layers.
No. The Bias Score is a data summary, not a recommendation. It tells you what publicly available market data says about a stock right now. It does not predict price movement, account for your personal situation, or constitute financial advice. EquityBias is a research input alongside your own due diligence, not a substitute for it.
No. EquityBias is not a day-trading, intraday, or market-timing service. The Bias Score is a once-daily reading that summarises where market data sits for a stock across a multi-day view, not a same-day or minute-by-minute reading. It does not time entries and exits, and it does not forecast the next day's price. Use it to build daily context across the stocks you follow before the open, alongside your own research. As always, this is market data, not a prediction or financial advice.
Once per US trading day. Data is collected after US market close (~22:00 CET), the scoring engine recalculates all bias scores overnight, and new scores publish by 14:30 CET, about one hour before the next US market open. Weekends and US market holidays use the most recent trading-day data.
The divergence indicator is a 0-100 score that tells you how much the scoring engine's internal data layers disagree with each other. A low divergence (e.g. 12) means the layers point the same way. A high divergence (e.g. 68) means the signals actively contradict each other, even if the headline Bias Score looks decisive. High divergence = elevated uncertainty. The divergence reading is available to Premium subscribers.
Every read carries one lens, the short answer to why that stock came up today. Divergence: the four readings point in different directions. Breakout: a sharp move that landed at the far end of the scale. Momentum Shift: the score moved sharply since yesterday. Sector Outlier: moving against its own sector. Analyst Split: analyst coverage reads against the rest of the data. High Conviction: an extreme score the data agrees on. Full Alignment: all four readings point the same way. Fresh Read: nothing dramatic, it simply surfaced in today's scan. The lens 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, never what anyone should do about it.
Four categories of public market data: price structure, analyst coverage, news sentiment and reported fundamentals. The named providers, the refresh cadence and the known limitations are on the methodology page at /methodology. What stays unpublished is the weighting between the four, which is the part with commercial value. No single source dominates; the value comes from the combination and from how the engine handles disagreement between the layers.
The Bias Score is produced by a proprietary multi-layer scoring engine, an ensemble model that processes hundreds of market data points per stock per session. The engine combines, weights, and normalises those readings into a single composite score. We do not publish the engine's internal architecture, weights, or layer composition. What does go in, where it comes from and what it cannot do is set out at /methodology. The engine is also re-calibrated on a rolling basis as market regimes shift.
550+ US-listed equities, weighted toward large-cap and high-volume names across the NYSE and Nasdaq. The full list is browsable, so you can check a specific holding before you sign up. EU and Asia coverage is planned for a future release.
A screener returns a list of stocks matching filter criteria, useful for discovery. EquityBias returns one number per stock that summarises the current data state across multiple data layers, useful for daily context-building on stocks you already follow. They solve different workflows; many users employ both.
Research reports are written analyses by humans, deep but infrequent. EquityBias is a structured data summary updated automatically every trading day, broad and current. Use research reports for depth on one company; use EquityBias for daily breadth across many companies. They complement each other.
EquityBias is designed for active premarket research: it updates daily and reflects current data conditions. Long-term investors can use it as one of several inputs but should weight slower-moving fundamentals (earnings quality, competitive position, valuation) more heavily. The Bias Score reflects today's market data, not multi-year thesis quality.
EquityBias offers three plans: Free (2 daily reads with bias, divergence and the direction of each data layer, plus five of your own stocks with bias and divergence and the four-layer report by email), Premium (10 daily reads + exact values and reasons for the four data layers on every daily read + divergence tracking + 3 selectable dashboard designs), and Trader (the 10 Premium reads plus your own portfolio of 30 self-picked stocks, 20 swaps per month, and deep-dive research links). Current pricing is available at https://www.equitybias.com/plans.
EquityBias is operated from Denmark. Pricing is denominated in USD; payments are processed via Lemon Squeezy, an EU-compliant merchant of record that handles VAT and tax collection across jurisdictions.
Yes. All paid tiers can be cancelled at any time from your account settings. Cancellation takes effect at the end of your current billing cycle, with no auto-renewals after cancellation.
No. Stock ratings (Buy / Hold / Sell) are analyst opinions about future price movement. The Bias Score is a data aggregation: it shows where existing market data points right now, without predicting where prices will go. Ratings are inputs into our analyst-coverage dimension, but they're only one part of the composite.
No. EquityBias publishes data summaries, not advice. We do not know your financial situation, risk tolerance, investment goals, or tax position. The Bias Score is a research input, not a personalised recommendation. For personalised advice, consult a licensed financial advisor in your jurisdiction.
Last updated: September 2026
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