About Tradetheon

In 2016, Warren Buffett started buying Apple stock. The prevailing narrative was “Peak Apple” — iPhone growth had stalled, China was slowing, and headlines questioned whether the company’s best days were behind it. Buffett kept buying. Quarter after quarter, his regulatory filings revealed a growing position that eventually became Berkshire Hathaway’s single largest holding. By 2025, the stock had risen nearly tenfold.

None of this was secret. Every share he purchased appeared in a public filing, available to anyone, within 45 days.

Here’s what’s remarkable: a study of Buffett’s entire career found that a hypothetical portfolio built by simply copying his public filings — after the standard delay — captured 10.75% annual excess returns, compared to Berkshire’s own 11.14%. Strangers reading a government document a month and a half late got nearly the same result as the greatest investor alive.

That’s the gap Tradetheon is built to close — not between professionals and amateurs, but between what’s publicly available and what’s practically accessible. Every quarter, several thousand institutional managers disclose their U.S. equity holdings to the SEC. Every day, corporate insiders report their personal stock purchases and sales. The information exists. Turning it into a systematic research workflow is the hard part.

What we built

Tradetheon processes these regulatory filings into a platform designed around one question: where is informed capital going, and why might it matter?

Every signal we surface is grounded in academic evidence and sound reasoning — and nothing is black-boxed. Where peer-reviewed research supports a signal, we cite the paper. Where a signal rests on reasoning rather than empirical study, we say so plainly. Our Guide walks through each signal type, the research behind it, and the limitations you need to understand before acting on it.

What we do with the data

Raw SEC filings are messier than most people realize. Managers misplace decimals, report values at the wrong scale, mislabel bonds as stocks, and file amendments weeks after the original deadline. The SEC itself makes no guarantees about the accuracy of 13F data.

We retrieve filings directly from the EDGAR system, then clean, cross-validate, and transform them — applying the same quantitative discipline the founding team spent over a decade practicing across institutional finance and large-scale data engineering. The result is analytics you can trust enough to build research on, not just glance at.

Why it matters

Charlie Munger once said he believed in mastering the best that other people have figured out — that nobody is smart enough to dream it all up yourself. We built Tradetheon on that principle. The best investors in the world are required to show their work. Studying it systematically — what they buy, what they sell, when they change their minds — is one of the most underutilized edges available to any investor willing to look.