Financial Research & Founder

The market
prices what
it expects.
I measure
what it misses.

I'm Fabio Brina — founder of Zyberno.com and author of the Brina Gap: a systematic framework for identifying growth mispricing in equity markets. 18 years following markets, 12 years managing my own portfolio, 6 years guiding investors through portfolio decisions. Built for the long run.

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Research — Working Paper 2026

The Brina Gap

The Brina Gap measures the difference between what a business can fundamentally grow at and what the market is pricing in.

A framework for identifying equity mispricing by comparing two independently derived growth rate estimates — what the business can structurally deliver, versus what the market price implies it will.

Traditional valuation anchors in the past. Price-to-earnings ratios, earnings yield, and historical DCF models all rely on demonstrated performance. But markets price the future. The result is a systematic blind spot: a stock can look cheap relative to history while the market has already correctly identified deteriorating economics — or look expensive while the market persistently underestimates a compounding machine.

The Brina Gap is an original framework developed and authored by Fabio Brina.

Core Identity
Brina Gap = gf − g*

gf = ROIC × Reinvestment Rate
g* = Market-Implied Growth Rate (reverse DCF)

The two estimates are structurally independent: gf is derived entirely from financial statements, with no reference to price. g* is derived entirely from the current enterprise value, with no reference to capital efficiency. Their comparison is non-circular and informationally additive.

Backtested across 15 companies and 86 company-year observations spanning 2015–2025 — covering technology, consumer staples, industrial distribution, semiconductors, SaaS, and payments networks. The Double Discount quadrant achieves a 75% directional hit rate on confirmed cases.

Valuation Matrix — live on Zyberno.com
0,0 DOUBLE DISCOUNT UNDERESTIMATED GROWTH VALUE TRAP OVERVALUED & OVERHYPED MoS +35.0% · Gap +14.2pp META FY22 MARKET GAP + MARGIN OF SAFETY ← Overvalued Undervalued →
How to read this matrix

Two independent signals. The Margin of Safety tells you if the stock is cheap relative to what the business has historically generated for owners — it reads the past. The Market Gap tells you if the market is underestimating what the business is capable of going forward — it reads present capital economics against what the current price implies about the future.

When both point positive simultaneously — DOUBLE DISCOUNT — the market is wrong on two independent dimensions at once. That is rare and significant. The most dangerous scenario is a VALUE TRAP: appears cheap historically, but the Market Gap reveals the market has already priced in the deterioration.

This matrix is live on every stock report at Zyberno.com, calculated in real time from company filings.

Fabio Brina JEL: G11 · G12 · G14 · G17 March 2026 Working Paper DOI: 10.5281/zenodo.19052189 SSRN: 6361659 ORCID: 0009-0007-5715-7681
Read Full Paper → Zenodo DOI ↗ SSRN ↗ ORCID Profile ↗
Brina Gap / Visualized EMPIRICAL EVIDENCE
Growth Rate Divergence
The Gap between what a business can deliver and what the market is pricing in
Brina Gap +8.3pp 2020 2021 2022 2023 2024
gf — Fundamental Growth Rate (ROIC × Reinvestment Rate)
g* — Market-Implied Growth Rate (reverse DCF)
Gap — The mispricing signal
CONFIRMED POSITIVE
Meta Platforms
FY2022
Gap: +14.2pp
CONFIRMED POSITIVE
Alphabet
FY2017
Gap: +9.8pp
CONFIRMED NEGATIVE
Zoom
FY2021
Gap: −11.6pp
BACKTEST SPAN
86
company-year obs.
2015 – 2025
Platform — Launched 2025

Wall Street tools.
Main Street prices.

"Professional-grade investment tools have been priced beyond reach — and even when accessible, they assume you already know what you're doing."

Zyberno was built to close this gap. Founded in 2025, it gives individual investors access to the same analytical frameworks used by institutional professionals — at a price accessible to individual investors, with methodology built in at every step.

Every tool in the platform came directly from real challenges encountered in years of advisory work: clients who knew what they wanted to analyse, but lacked the tools to do it effectively. Every tooltip, every built-in strategy, every calculation reflects a real question from a real investor.

The methodologies are transparent, the data is pulled directly from company financial statements and regulatory filings — not third-party aggregators — and every metric is explained in plain language. Because a tool you can't understand is just expensive guesswork.

One pattern I kept noticing after years of investing and working inside the industry was how financial tools and analysts adjust their outputs toward what looks reasonable. Zyberno was built on a different principle. The math produces a number — from fundamentals, from ROIC, from reinvestment rate, from a reverse DCF — and that is what we show. Every assumption is visible. Every input is reproducible. If the model says a business is worth $500 and it trades at $300, that is the output. The job of the investor is to decide whether the assumptions are right, not to distrust the result.

Explore Zyberno ↗
Direct Source financial data
Zero Third-party aggregators
01 / SCREEN
Stock Screener
Filter the entire market by fundamental quality metrics — ROIC, earnings yield, FCF yield, and more. Built-in strategies from Buffett, Lynch, Graham, and Greenblatt.
02 / ANALYSE
Stock Reports
Deep-dive fundamental analysis. Full financial history, valuation metrics, and a plain-language summary of what the numbers actually mean.
03 / MACRO
Buffett Indicator
The total market cap to GDP ratio — Buffett's preferred macro valuation gauge. Tracked historically to contextualise market-wide risk.
04 / VALUE
DCF Calculator
Owner earnings–based discounted cash flow modelling. Transparent assumptions, sensitivity tables, and a margin of safety output you can actually act on.
05 / RISK
Monte Carlo
Portfolio risk simulation across thousands of scenarios. Understand the distribution of outcomes — not just the point estimate.
06 / MORE
And Growing
The platform expands continuously. Every new tool is built to the same standard: institutional-quality analysis, built for independent investors.
About

Built by investors,
for investors.

18
years active in markets as investor and portfolio manager
6
years guiding individual and institutional investors through investment decisions
12+
years managing my own portfolio as an active investor

I started learning about investing at 14. Not because anyone taught me — because I already knew, with unusual clarity for that age, that I wasn't going to spend my life making someone else rich with my time.

Like most beginners, I made the classic mistakes first. At 18, with real money finally available, I turned to trading and leverage. I was actually decent at it — disciplined, cautious, never overleveraged. But I'm calm by nature, and trading isn't. Watching positions, reacting to noise, living inside price movements that had nothing to do with what the underlying business was actually doing. The wins were real, enough to keep me at it. But never quite enough to justify what it cost.

The real cost wasn't the losses. It was time. Years of mental energy producing results I could have matched by doing nothing. It took that frustration before I picked up The Warren Buffett Way by Robert Hagstrom. That book introduced me to value investing as a discipline. Not a strategy. A way of thinking about businesses.

The question changed. Instead of "what will the price do?" I started asking "what is this business actually worth?" Graham came next, then Buffett's own letters, then Munger. I'd been looking at the whole thing backwards — chasing price when I should have been understanding value.

"Rule No. 1: Never lose money. Rule No. 2: Never forget rule No. 1."

— Warren Buffett / The philosophy that guides everything at Zyberno

When I finally made the switch, my first real share was Berkshire Hathaway. Real in every sense — not a leveraged position on a price movement, but actual ownership of a fraction of a real business. For the first time, I wasn't betting on what a stock would do. I owned a piece of what a company was.

Twelve years of managing my own portfolio using value investing principles followed — alongside six years as a financial advisor working directly with individual and institutional clients on investment decisions. From October 6, 2022 to April 25, 2026, my personal portfolio returned +218.56% against the S&P 500's +89.39% over the same period, as reported by Interactive Brokers. Returns are time-weighted, include unrealized gains on open positions, and have not been independently audited. The portfolio consists of approximately 10 long-term positions across different sectors, managed with a buy-and-hold value investing approach. The full broker statement is available upon request. I'm based in northern Italy, investing independently and building financial research tools that reflect the same standards I apply to my own capital.

I've always believed that rigour and honesty are the same thing in investing. If a framework has failure modes, you document them. If a tool makes assumptions, you state them. If a number is uncertain, you say so. The alternative — dressing things up to look more certain than they are — is how most financial products are sold. It's not how I work. That's what I'm most proud of in everything I've built.

01
Data integrity above all
Every number in Zyberno comes directly from company financial statements and regulatory filings. Not from aggregators. Not from estimates. From the source.
02
Transparency in methodology
Every calculation is documented. Every assumption is shown. Every metric is explained. If you can't see how a number was derived, you can't trust it.
03
Long-term thinking, always
The tools I build and the frameworks I develop are designed for sustainable, long-term compounding — not short-term speculation. Markets reward patience and quality. So do we.