Pure AI Stock Analysis
We analyze 3,700+ quality stocks with AWS Nova using Warren Buffett-style methodology. Every stock gets a precise 0–100 score, detailed analysis with specific numbers, and clear buy/sell signals.
With weekly data updates (Saturdays, 02:00 UTC), we emphasize fundamental strength and long-term value to highlight meaningful opportunities.
Top 10 opportunities (right now)
These are ranked using the best available score. For the top 100 we store the AI-enhanced result when available. Click any ticker to see the full breakdown and the AI explanation.
How It Works
When you buy a stock, you're buying a piece of a real company. Our goal is to help you find good companies at reasonable prices.
We Gather the Data
Every weekend we collect financial data for 5,600+ US stocks: revenue, profits, debt levels, growth rates, ROIC, dividends, and more. We then filter to ~3,700 quality stocks by removing penny stocks, derivatives, and inactive securities.
Pure AI Analysis
AI (AWS Nova) analyzes each stock using a Warren Buffett-inspired methodology. It evaluates all financial metrics holistically - quality, value, growth trends, and competitive advantages.
0-100 Score
Each stock receives a single AI Score from 0-100. The AI considers profitability, capital efficiency (ROIC), financial health, valuation, dividends, and business trajectory.
Beginner-Friendly Analysis
The AI explains each stock in plain English - no jargon. You get a company description, a balanced analysis covering both strengths and risks, and a key insight. Perfect for everyday investors.
Clear Signals
Every stock gets a clear signal: Strong Buy, Buy, Hold, or Sell - plus conviction level and risk assessment.
Weekly Updates
All data refreshes every Saturday at 2 AM UTC. You're always looking at recent analysis, not stale data.
Key metrics (quick guide)
You do not need to be a finance expert. These are the most useful signals we look at:
- Free cash flow (FCF): cash left after running and investing in the business. Positive and stable FCF is often a good sign.
- FCF margin ?: FCF as a share of revenue. Higher means the company turns sales into real cash.
- FCF yield ?: FCF relative to market value. Higher can indicate better value, if cash generation is durable.
- Debt-to-equity: leverage. Lower is usually safer.
- Current ratio: short-term liquidity. Above 1.0 often means the company can cover near-term obligations.
Pure AI Methodology
Our AI uses a Warren Buffett-inspired approach, analyzing each stock holistically across these key dimensions.
Capital Efficiency
Core
ROIC - Warren Buffett's favorite metric
Return on Invested Capital shows how well management converts capital into profits.
Companies earning 15%+ ROIC are creating real value. Above 20% is exceptional.
Financial Health
Core
Can the company survive tough times?
We analyze debt levels, cash reserves, and Altman Z-Score. Strong balance sheets
mean the company can weather recessions and invest in growth when competitors can't.
Quality & Profitability
Core
Piotroski F-Score & profit margins
We look for consistently profitable companies with strong cash generation. High
margins suggest pricing power and competitive advantages.
Valuation
Core
Great companies at fair prices
Even the best company is a bad investment at the wrong price. We analyze P/E,
price-to-book, and Magic Formula rankings. A premium can be justified for quality.
Dividends & Income
Where applicable
Sustainable shareholder returns
For dividend payers, we analyze yield, payout ratio, and free cash flow coverage.
Sustainable dividends are a sign of management confidence and financial strength.
Business Trajectory
Core
Is the business improving or declining?
We track revenue trends, earnings growth, and margin expansion. Companies with
improving fundamentals often outperform those with deteriorating metrics.
Reference Indicators
We calculate these established financial metrics and feed them to our AI for comprehensive analysis. These indicators help explain why a stock might be attractive (or risky).
Piotroski F‑Score (quality)
A 0–9 checklist for financial strength (profitability, balance sheet, and operating efficiency). We currently use an approximation from available fundamentals — treat it as a “quality signal”, not a perfect audit.
Altman Z‑Score (bankruptcy risk)
A safety score based on liquidity, profitability, leverage, and efficiency. Lower scores can signal financial distress risk.
Beneish M‑Score (earnings manipulation)
A warning-style check for unusual accounting patterns (we use a simplified proxy, not the full academic model). It’s a risk flag, not a verdict.
Magic Formula (cheap + high quality)
A framework that favors companies that are both profitable and reasonably priced, using earnings yield and return on capital.
ROIC (capital efficiency)
Warren Buffett's favorite metric. Return on Invested Capital shows how efficiently a company deploys capital. Above 15% indicates excellent value creation.
Dividend Analysis (income)
For income investors: we check dividend yield, payout ratio, and whether cash flow can sustain the dividend.
Trend Analysis (trajectory)
Are metrics improving or declining? We track revenue, earnings, margins, and leverage direction.
Simple Recommendations
Every stock gets a clear, simple recommendation based on its score.
BUY
Score 70+
The company has strong fundamentals, a reasonable price, and positive signals. This
is a quality opportunity worth considering.
WATCH
Score 50-69
Decent company but not compelling right now. Keep an eye on it - things could
improve or get worse.
RISK
Score below 50
Significant concerns exist - weak fundamentals, high debt, or other red flags.
Approach with extreme caution.
By The Numbers
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