What this is

Bogen Capital is a conviction-tracking model built by Adrian Bogen. It monitors the public SEC filings of 50 of the world's most respected institutional investors and ranks stocks by how strongly those investors collectively believe in them.

A conviction score is calculated for every stock based on three signals: breadth (how many tracked investors hold it), size (what percentage of each investor's portfolio it represents), and momentum (recent buying vs selling activity). Insider trading data from SEC Form 4 filings is layered on top as a ±15% modifier.

Tracked investors (50)

Value, growth, quant, activist, and global equity managers — each weighted by track record and conviction style.

Data sources & methodology

13F filings: Quarterly portfolio disclosures from SEC EDGAR, required of all institutional managers with over $100 million in assets. This is the primary data source for the conviction score.

Form 4 insider trading: When company officers, directors, or major shareholders buy or sell stock, they must file within 2 business days. We use this as a secondary signal — insider buying reinforces conviction, while routine selling is dampened.

Stock prices: Current prices, daily changes, and historical charts sourced from Yahoo Finance.

Important limitation: 13F filings are disclosed up to 135 days after quarter-end. By the time you see this data, the investor may have already changed their position. The scoring algorithm is fully deterministic and traceable — no AI or machine learning is involved in portfolio decisions.

Contact

Questions, feedback, or ideas? Feel free to reach out.

bogenadrian@gmail.com

Built by Adrian Bogen in Bergen, Norway.

The scoring model — how it works

Every stock held by our tracked investors receives a conviction score calculated from three core signals and one secondary modifier. The model is fully deterministic — no AI, no black box, every score traces back to specific filings.

1. Breadth

How many of the 42 tracked investors hold this stock? Each additional investor adds +20 points, weighted by that investor's trust multiplier (Buffett = 2.0×, quant funds = 1.0×).

2. Conviction size

What percentage of each investor's portfolio does this stock represent? A 10% position signals far more conviction than a 0.1% position. Each % adds points × the investor's weight.

3. Momentum

Is the investor buying more or selling? New positions get a +15 bonus. Increases add +2 per 10% growth. Decreases subtract -3 per 10% reduction. Momentum is capped to prevent outliers.

4. Insider modifier (±15%)

SEC Form 4 insider trades adjust the final score. CEO/CFO buys are weighted highest. Sells are dampened (1st = 100%, 2nd = 30%, 3rd+ = 5%). A cluster of 3+ insiders buying within 30 days triggers a +5.0 bonus.

Final formula: score = Σ (breadth × weight + conviction_size × portfolio_% × weight + momentum) + clamp(insider × 3.0, ±15%)

The top 10 highest-scoring stocks form the model portfolio, with a maximum of 3 stocks per sector to ensure diversification.

From the Desk

Updates, observations, and notes from behind the scenes

Site Update
April 2026

What's New: Congress Tracking, More Investors, and a Market Minigame

The past few months have been the most active stretch of development since Bogen Capital launched. A lot has changed under the hood and on the surface — here's a full rundown.

Congress Trading Tracker — Members of Congress are required by the STOCK Act to disclose personal stock trades within 45 days of execution. That data is public, but like 13F filings, it's buried in formats nobody wants to parse. I've built a full tracker that pulls congressional disclosures, normalizes them, and applies the same conviction-scoring logic used for institutional managers. Whether you think congressional trading is meaningful signal or just noise, the data is there to judge for yourself.

8 New Investors — The watchlist has grown from 34 to 42 tracked institutional managers. The new additions were chosen specifically to improve coverage in areas where the model had gaps — small and mid-cap names, international equities, and a few managers with concentrated, high-conviction styles that differ from the larger funds already tracked. More managers means more data points, and more data points means a harder signal to fake.

Market Trader Minigame — This one started as a weekend distraction. It's a 20-second trading game where you start with $1,000 and try to time a volatile price chart — buy in, ride it, sell before time runs out or you bust. The price model uses real mean-reverting volatility math, so it behaves like something you'd actually see in a tick chart. It's not financial advice. It is, I think, a decent illustration of how quickly even a "simple" chart becomes impossible to predict with confidence. The leaderboard is humbling.

More is coming. The data pipeline improves every week, and there are a few features in progress that I'm not ready to talk about yet. Check back.


Deep Dive
April 2025

The Conviction Behind the Consensus: What 42 Managers Actually Agree On

When you aggregate 13F filings across 42 institutional managers, one thing becomes striking fast: genuine consensus is rare. Most holdings are deeply idiosyncratic. A position that one fund has built into a top-five holding might not appear in a single other portfolio on the list. That's not a flaw — it's how great investors operate. They find edges that no one else sees yet.

But that's also what makes cross-manager agreement so interesting when it does appear.

When you find a stock held by six, eight, ten different managers simultaneously — managers with different styles, different time horizons, different sector focuses — and each one has been adding, not trimming, over the past two or three quarters, that's a different kind of signal. It suggests the thesis isn't obscure or fragile. It's something that smart people with different frameworks have independently concluded is worth owning.

The conviction model on this site is built to surface exactly that. Breadth of ownership, portfolio weight, and directional momentum all feed into the score. Investors with longer and stronger track records are weighted more heavily — Buffett's position in something carries more informational weight than a fund with a two-year history.

What I find most interesting when I run the numbers: the stocks at the top of the conviction ranking are almost never the ones dominating financial media. They're rarely the flashy names getting written up everywhere. They tend to be businesses with durable margins, strong free cash flow, and management teams that have earned a long leash. Not exciting — which might be exactly the point.

That's not a hot tip. It's pattern recognition at scale, applied consistently. Which is what this whole project is built to do.


Origin Story
March 2025

Why I Built Bogen Capital

This project started with a simple frustration: the best investors in the world are legally required to disclose what they're buying — yet that information is buried inside dense SEC filings that most people never read.

Every quarter, institutional managers overseeing more than $100 million file a 13F with the SEC. It lists every US equity position they hold — the stock, the size, the change from last quarter. It's all public. It's all free. And for most people, it's completely inaccessible. The raw filings are XML dumps. The aggregated versions, when you can find them, are usually locked behind paywalls or buried under ads.

I wanted to fix that. So I built a system that ingests 13F filings from 42 of the world's top institutional managers, scores each position by conviction level, and surfaces the clearest signals in one clean place.

The conviction scoring was the part I found most interesting to build. It's not enough to know that Buffett holds Apple — everyone knows that. What matters is how many managers hold a position, how large it is relative to their portfolio, and whether they've been actively adding or trimming. A stock that five sharp managers have all been quietly building for three straight quarters tells a different story than one that showed up in a single filing.

Bogen Capital isn't a fund. There's no money managed here, no fee, no subscription. It's a lens — one that lets any curious person look over the shoulder of Buffett, Ackman, Druckenmiller, Klarman, and dozens of others, and ask the only question that matters: what do they actually believe in enough to put real money on?

I built it because I wanted it to exist. Now it does.

⚠ Legal disclaimer

This website and all its content is provided strictly for personal informational and educational purposes. Nothing on this site constitutes financial advice, investment advice, a recommendation, or an offer to buy or sell any financial instrument or security.

Past model performance does not predict, imply, or guarantee future results. Investing in financial markets involves risk, including the possible loss of all invested capital.

Adrian Bogen, the creator and operator of this model, is not a licensed financial advisor, broker, or investment manager. Adrian Bogen accepts no responsibility or liability whatsoever — financial, legal, or otherwise — for any investment decisions or outcomes that arise from use of this site.

By accessing this site, you acknowledge and agree that you are solely responsible for your own investment decisions and their consequences.

Adrian Bogen  ·  Bergen, Norway