Marcador abierto
Historial en vivo
Dos historiales en una página. Sección 1: nuestros 7 filtros deterministas (Buffett-Fit, Graham, Lynch, Greenblatt, Munger, Fisher, T. Smith) - basados en reglas, reproducibles desde el código abierto, aplicados a toda acción operativa del universo de cobertura (~2.800-3.300 acciones tras filtros de tamaño y tipo de instrumento; cifras en vivo abajo). Sección 2: nuestros veredictos Buffett Brain generados por IA - cohorte más pequeña, crece con el tiempo. Ambos publican los números, incluyendo los fallos.
Rule-based scorecard
7 deterministic frameworks, applied to every stock.
Buffett-Fit, Graham, Lynch, Greenblatt, Munger, Fisher, and T. Smith - every grade reproducible from open-source rule cascades. No LLM calls in this section. The headline number below comes straight from this engine.
Rule-based · 5-year backtest
Over a rolling 5-year window, stocks that all 7 frameworks rate at B+ or better returned
That is an outperformance of
over the S&P 500, as of 2026-05-24.
Headline cohort: 47 stocks - only 1.5% of the 3,085-stock universe clear the all 7-frameworks bar (every framework scores the company B+ or better). 85% of them were positive over 5 years. Per-stock returns capped at +400%/-100% so single moonshots don't dominate cohort medians - full methodology at the bottom of the page. Fixed snapshot as of 2026-05-24.
Backed by 7 deterministic frameworks
How we got this number
The cross-framework consensus that produces the best-of-7 cohort is documented in a peer-reviewable working paper with a permanent DOI: Cross-Framework Consensus Scoring System for US-Listed Equities (DOI 10.5281/zenodo.20393518, SSRN 6831462). See /papers/ for the full methodology, citation-ready abstract, and both PDF + JSON-LD downloads.
Live model portfolio · forward tracking
30 stocks we picked on May 19, 2026
A locked-in basket of 30 stocks our rule-based scoring engine flagged as quality compounders on day one. Equal-weight. Same composition until the next rebalance. Updated daily.
The 30 picks
AI scorecard
Per-ticker Buffett Brain verdicts, growing weekly.
Each verdict is generated by an LLM (Anthropic / OpenAI). Real money per run, so we cache aggressively and only score the universe we can afford to keep fresh. The cohort grows every week.
Veredictos seguidos
536
Seguimiento desde
1 jun 2026
Diferencial A vs D
+7.5%
Rendimiento medio de los veredictos A+/A menos el de D. Con apenas semanas de datos esto es sobre todo ruido, no señal - una estrategia value se juzga en años. Se muestra por transparencia, no como prueba de una ventaja.
Datos recientes
504 veredictos puntuados en total, el más antiguo 45 días. Veredictos de menos de 7 días excluidos. Las medias de cohorte se estabilizan en meses, no semanas - lee estos números como una señal direccional, no como una ventaja probada.
The Weekly Letter
One stock, one verdict, every Saturday.
The same logic that scores the verdicts on this page, applied to a fresh ticker each week. Pulled from current data. One-click unsubscribe.