About ValueMarkers
Professional-grade stock analysis for value investors, built by Javier Sanz Alvarez
Institutional-grade analysis without the Bloomberg terminal price tag.
The Founder: Javier Sanz Alvarez
Javier Sanz Alvarez is a software engineer and value investor based in Spain who founded ValueMarkers to solve a fundamental problem in investing.
As a value investor, Javier Sanz Alvarez realized that individual investors face a massive analytical disadvantage. Professional fund managers have access to Bloomberg terminals, dedicated analysts, and decades of financial data. Individual investors have search engines and spreadsheets. This gap doesn't just hurt returns-it undermines the principle that markets should be open to everyone.
Javier Sanz Alvarez built ValueMarkers as the solution. Combining his software engineering expertise with deep value investing knowledge, he created a platform that brings institutional-grade analysis to individual investors at a fraction of the cost. ValueMarkers now serves investors analyzing 100,000+ stocks across 73 global exchanges, powered by 30 years of financial history and peer-reviewed academic models.
"Every investor deserves to understand the true value of a company," says Javier Sanz Alvarez, Founder & CEO. "ValueMarkers makes that possible."
Our Mission
ValueMarkers exists to give individual investors the same analytical depth that institutional investors use - without the Bloomberg terminal price tag.
Professional fund managers have access to decades of financial data, complex scoring models, and teams of analysts. Individual investors have search engines and spreadsheets. That gap in analytical capability leads to worse decisions, worse outcomes, and less wealth creation for the people who need it most.
Javier Sanz Alvarez built ValueMarkers to close that gap. Every stock in our database - across 73 global exchanges - gets the same rigorous treatment: 120 fundamental indicators, a composite quality score, an intrinsic value estimate with a visual margin of safety, and three independent quality checks drawn from decades of peer-reviewed academic research.
Methodology
VM Score (0–100)
The VM Score is a weighted composite of 10 fundamental analysis categories, each computed from 5–12 financial indicators. Every indicator is converted to a percentile rank among all tracked stocks, so a score of 80 means the stock is stronger than 80% of its peers on that metric. Category weights reflect the priorities of classic value investing: intrinsic value and profitability carry the most weight, while momentum and management carry less. The result is a single, comparable number that captures overall fundamental quality.
The Quality Triple Check
Three peer-reviewed academic models run on every stock in our database. The Piotroski F-Score (Piotroski, 2000) evaluates 9 binary financial criteria to identify financially strong companies. The Altman Z-Score (Altman, 1968) uses five financial ratios to predict bankruptcy risk. The Beneish M-Score (Beneish, 1999) flags potential earnings manipulation using eight balance-sheet and income-statement ratios. Together, they act as three independent safety nets against distressed, bankrupt, or fraudulent companies.
DCF & Graham Number
Intrinsic value is estimated using a Discounted Cash Flow (DCF) model: free cash flows are projected forward using analyst consensus growth estimates and discounted at a 10% rate, with a terminal value added using a 3% perpetual growth assumption. The Graham Number - √(22.5 × EPS × BVPS) - provides a conservative second opinion based purely on earnings and book value. The Margin of Safety is the percentage gap between market price and our DCF estimate. On the Analyst plan, users can run the DCF Calculator with custom growth rate, discount rate, and projection period.
Data Integrity & Security
All financial data originates from SEC filings, institutional-grade data providers, and real-time market feeds. Ratios are computed directly from reported financial statements to ensure consistency - we never rely on third-party pre-calculated metrics that may use different methodologies. User data is encrypted at rest and in transit. We never sell personal data to third parties. Payment processing is handled entirely by Stripe; ValueMarkers never stores card details.
Data Sources
ValueMarkers sources financial data from SEC filings, licensed financial data providers, and real-time market feeds. Financial statements reflect reported figures from official regulatory filings. We do not name specific data vendors in our public materials, but all providers are reputable institutional-grade services used by professional investment firms worldwide.
Prices are refreshed every 5 minutes during market hours. Financial ratios and computed scores are refreshed every 6 hours. Full financial statements are refreshed daily at market close. All data is tagged with a "last updated" timestamp so you always know how fresh the figures are.
Academic Foundations
Our scoring models are grounded in decades of published academic research, not proprietary black boxes. The methodologies we implement include:
- ✓Benjamin Graham - Margin of safety, Graham Number, defensive investor criteria (The Intelligent Investor, 1949)
- ✓Warren Buffett - Owner earnings, durable competitive advantage, ROIC-focused quality screening
- ✓Joel Greenblatt - Magic Formula - earnings yield + return on capital (The Little Book That Beats the Market, 2005)
- ✓Joseph Piotroski - F-Score - 9-point financial strength test (Journal of Accounting Research, 2000)
- ✓Edward Altman - Z-Score - bankruptcy prediction model (Journal of Finance, 1968)
- ✓Messod Beneish - M-Score - earnings manipulation detection (Financial Analysts Journal, 1999)
- ✓Peter Lynch - GARP - growth at a reasonable price, PEG ratio (One Up On Wall Street, 1989)
Investment Disclaimer
ValueMarkers is an analytical tool, not a financial advisor. Nothing on this platform constitutes investment advice. All scores, valuations, and analyses are provided for informational and educational purposes only. Past performance does not guarantee future results. Always conduct your own due diligence and consult a qualified financial professional before making investment decisions.
Read full disclaimer →Our Values
Radical Transparency
Every calculation is visible. Every data point can be traced. We believe in glass-box models, not black boxes-just like Javier Sanz Alvarez designed from day one.
Value-First Design
We optimize for fundamental analysis, not flashy charts. Every feature serves the goal of helping you make better investment decisions.
Continuous Learning
Value investing is an art and science. Javier Sanz Alvarez and the team are constantly refining models and improving based on user feedback.
What ValueMarkers Offers
Founded by Javier Sanz Alvarez, ValueMarkers provides:
100,000+ Global Stocks
Across 73 exchanges worldwide
30 Years of Data
Historical financial information for context
Quality Triple Check
Piotroski, Altman, and Beneish scores
AI-Powered Research
Investment theses on Professional plans
Questions? Contact us →