A composite 0–100 signal that measures investment quality across 6 weighted dimensions — designed to cut through noise and give investors a clear, unbiased read on any stock in seconds.
AI Score at a Glance
0–100
Score Range
Higher = stronger investment setup
40+
Metrics Analyzed
Across 6 weighted dimensions per stock
Daily
Update Frequency
Prices, momentum & analyst revisions refresh every trading day
NVDA ~92
Highest-Scored Stock
As of mid-2026; AI dominance across all 6 dimensions
WOLF ~29
Lowest Commonly Tracked
Wolfspeed — negative margins, high debt, weak momentum
~58
Avg. S&P 500 Score
Most large-caps cluster in the 50–70 range
~5,000 stocks
Coverage Universe
All major US-listed equities on NYSE & NASDAQ
More granular
vs. Analyst Ratings
78% of Wall St. ratings are Buy — AI Score is unbiased
What Is the BriMind AI Score?
The BriMind AI Stock Score is a single number between 0 and 100 that reflects how strong a stock looks across six investment dimensions. It is not a price prediction — it is a quality signal.
Most investors either look at one or two metrics (P/E, maybe revenue growth) or spend hours trying to synthesize a dozen data points. The AI Score does that synthesis for you: growth, profitability, valuation, momentum, analyst sentiment, and balance sheet quality — all weighted and combined into one comparable number.
The score is built to be:
⚡
Real-time
Updates with prices and analyst revisions daily
⚖️
Multi-dimensional
40+ underlying metrics across 6 categories
🎯
Quantitative
No subjective analyst opinions — pure data
🔗
Comparable
Works across sectors and market caps
The 6 Score Dimensions
Every AI Score is built from six components, each weighted by its predictive importance for long-term investment returns.
Growth Score25%
Measures revenue and earnings trajectory — acceleration, deceleration, and consistency. Fast-growing companies with accelerating earnings score highest; shrinking revenue or earnings misses drag the score down.
Captures gross margin, operating margin, and free cash flow margin — both current level and multi-year trend. High-margin businesses with expanding FCF score well; margin compression or persistent losses score poorly.
Gross margin (level + trend)Operating marginFree cash flow marginReturn on invested capital (ROIC)
Valuation Score20%
Compares P/E, EV/FCF, and P/S ratios against sector peers and the company's own historical range. A stock trading at a modest premium to fair value with strong growth may score higher than a cheap stock with no growth.
Forward P/E vs sector medianEV/FCF vs 5-year historyPrice/Sales relative to peersPEG ratio
Momentum Score15%
Tracks price performance relative to the 50-day and 200-day moving averages and relative strength versus the stock's sector. Stocks in confirmed uptrends with sector-relative outperformance score highest.
Price vs 50-DMA and 200-DMARelative strength vs sector6-month and 1-year price return52-week high proximity
Analyst Consensus Score10%
Aggregates the buy/hold/sell breakdown from Wall Street analysts, consensus price target upside, and the direction of recent estimate revisions. Rising estimates and strong upside to target boost this component.
Assesses balance sheet strength, insider ownership levels, and governance signals. Companies with low debt, insider skin in the game, and strong current ratios score well; leveraged companies with heavy insider selling score lower.
Debt/Equity ratioCurrent ratioInsider ownership %Short interest % of float
Score Interpretation Guide
Scores follow a roughly normal distribution, with most stocks in the 45–70 range. Here is how to interpret each band:
80–100
Strong Buy Territory
Quality, growth, valuation, and momentum all aligned. These are the stocks where most signals are flashing green simultaneously. Rare — typically fewer than 5% of tracked stocks reach this level.
60–79
Solid — Worth Considering
Good across most dimensions with one or two weaker spots. The most common range for high-quality large-caps. Worth deeper research to understand which dimension is lagging and why.
40–59
Neutral / Mixed Signals
Decent in some areas but meaningfully weak in others. May represent turnaround candidates, cyclicals at the wrong point in the cycle, or transitional businesses. Require a clear catalyst thesis.
20–39
Caution
Multiple dimensions are flashing warning signals — poor fundamentals, expensive valuation, or broken chart structure. Some may recover; many do not. Requires a very specific bull case.
0–19
Avoid / High Risk
Significant concerns across fundamentals, valuation, and/or momentum. Typical of distressed companies, heavily shorted small-caps, or businesses facing structural decline. Very few investors should own these.
Real Stock Examples
Here is how the AI Score looks for a cross-section of well-known stocks as of mid-2026.
Ticker
AI Score
What drives the score
NVDA
92
Best-in-class growth (200%+ revenue surge), expanding margins, dominant AI positioning, strong momentum. Only mild headwind: valuation premium vs peers.
AAPL
85
Exceptional brand moat, services growth, fortress balance sheet, massive buybacks. Slight drag from low revenue growth vs historical pace.
CRDO
78
High revenue growth, improving margins, strong AI infrastructure demand — but smaller size means higher volatility and thinner analyst coverage.
PLTR
73
Strong growth, improving FCF, government + commercial dual engine. Valuation remains rich (P/S ~30x), limiting upside on the valuation component.
PDD
61
Very cheap on P/E, profitable, fast-growing — but China regulatory risk, ADR structure concerns, and weak momentum drag the quality and momentum scores.
TSLA
68
Strong brand and energy/FSD optionality. Mixed signals: EV margin compression vs robotics/AI upside potential. High beta adds risk score pressure.
WOLF
29
Negative operating margins, heavy debt load, missed guidance repeatedly, weak momentum. Turnaround thesis depends on SiC adoption timing.
How the Score Changes Over Time
The AI Score is not static. It responds to new data as the investment picture evolves. The three biggest drivers of score movement are:
Earnings Release
Growth and profitability scores update immediately. A beat with raised guidance can add 5–12 points; a miss with lowered guidance can subtract a similar amount.
Analyst Revisions
When multiple analysts raise or cut price targets and estimates in the same week, the analyst consensus component shifts, sometimes moving the overall score 3–6 points.
Price / Momentum Shift
A stock breaking above its 200-DMA after a prolonged downtrend can boost the momentum component by 5–8 points. A breakdown below key moving averages does the reverse.
Example: NVDA Before vs. After Q1 FY2026 Earnings
Pre-earnings score: 84 — strong growth and profitability, but momentum had stalled on export-restriction fears
Post-earnings score: 92 — massive revenue beat, record margins, accelerating data center demand reignited momentum and drove analyst estimate upgrades
AI Score vs. Traditional Ratings
Investors have access to several rating systems. Here is how the BriMind AI Score compares:
Wall Street Analyst Ratings
STRENGTHS
Deep company access, management meetings
Sophisticated modeling for covered stocks
LIMITATIONS
78% of ratings are Buy — structural positive bias
Slow to update; major downgrades often lag price action by months
Investment banking relationships create conflict of interest
Coverage is uneven — most small-caps have 0–2 analysts
Bottom line: Useful input, but directionally biased. Best used alongside quantitative signals.
Credit Ratings (S&P / Moody's)
STRENGTHS
Excellent for assessing default risk
Standardized across debt issuers globally
LIMITATIONS
Measures creditworthiness only — not equity value or return potential
Rated AAA companies can still be overvalued equities
Notoriously slow to react (Enron was investment grade days before collapse)
Bottom line: Relevant for bond investors. Largely irrelevant for equity investment decisions.
BriMind AI Score
STRENGTHS
Multi-dimensional: 40+ metrics across 6 categories
Updates daily with new price and analyst data
Quantitative: no conflicts of interest or subjective bias
Comparable across sectors, sizes, and geographies
Free to use with no subscription required
LIMITATIONS
Does not capture qualitative factors (management, culture, moat depth)
Cannot predict macro shocks or black swan events
Composite nature means you need to drill into dimensions to understand why
Bottom line: Best used as a first filter and comparative tool, then layer in your own research.
What the Score Does NOT Measure
Being clear about limitations is as important as explaining the methodology. The AI Score will not warn you about:
The score is built from public financial data and market signals. Events that have not yet appeared in the data — or are inherently qualitative — will not be reflected until after the fact.
How to Use the Score in Practice
1
Use as a Filter
Focus initial research on stocks scoring 70+. This narrows thousands of stocks to a manageable list with favorable cross-dimensional signals. It does not mean sub-70 stocks are uninvestable — it means start here.
2
Use Comparatively Within a Decision
If you are deciding between NVDA (92) and AMD (79), the score tells you NVDA currently has the stronger fundamental and technical setup. Drill into why AMD scores lower — is it valuation? Momentum? Then decide if that gap matters for your thesis.
3
Track Score Changes as Early Warnings
A stock you own declining from 82 to 67 over two quarters is worth investigating — something has shifted in growth, margins, or analyst consensus. Catching deterioration early is one of the most practical uses of the score.
4
Combine with Your Own Research
The score is a starting point, not a final answer. Once you identify a high-scoring stock, read the latest earnings call, understand the competitive dynamics, and assess management credibility before sizing a position.
Average AI Score by Sector
Sector composition matters. Technology and healthcare companies tend to score higher because the model rewards growth and margins — which are more common in those sectors. Utilities and materials tend to cluster lower due to limited growth and commodity-price dependence.
Technology
72
Strong growth + margin profiles lift the sector
Healthcare
65
Biotech lowers average; established pharma scores well
Consumer Discretionary
60
Mixed — luxury and e-commerce score high; auto low
Financials
58
Banks stable but growth limited; fintech pulls up average
Use this as context: a tech stock scoring 65 is below-average for its sector; a utilities stock at 65 is actually well above average. Relative scoring within a sector is often more informative than the absolute number.
Frequently Asked Questions
Is a high AI Score a guarantee the stock will go up?
No. The AI Score reflects the current fundamental and technical setup of a stock. It does not predict short-term price movements, which are driven by news, macro events, and market sentiment — all of which can override even the best-looking fundamentals temporarily.
How often does the score change?
The momentum component updates every trading day with new price data. Profitability and growth dimensions update with each earnings release (quarterly). The analyst consensus component updates within 24 hours of new ratings or estimate revisions.
Why does a cheap stock sometimes have a low score?
Cheapness on valuation is only one of six dimensions (and is weighted at 20%). A stock can be cheap because it deserves to be — poor growth, deteriorating margins, or broken momentum all pull the overall score down even if valuation appears attractive.
Can I use the AI Score for ETFs?
Not directly — the score is designed for individual equities. For ETFs, the relevant lens is the average score of the underlying holdings, which reflects the quality tilt of the fund. BriMind's ETF pages show top holdings and their individual scores.
How is this different from a stock screener?
A screener filters on single metrics with thresholds you set. The AI Score synthesizes 40+ metrics across 6 dimensions into one number, making it faster to compare stocks without having to mentally weight each metric yourself.
See AI Scores for Every Stock
View AI scores, dimension breakdowns, and full metric profiles for thousands of US-listed stocks — or compare any two side by side to see exactly where one outpaces the other.