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Quantitative trading research from the team behind Alphanume's proprietary datasets.

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Latest Issues

A Junior Quant's Guide to Getting Diluted

Imagine you’re holding a $50M nano-cap that just ripped 80% on a press release about some new “AI pivot.”

The volume is insane. Fin-Twit is calling for a 5-bagger. You’re up big and feeling like a genius.

Two trading days later, a filing...

4 days ago
13

You Can Still Find Mispriced Options in 2026

“There’s no edge in vanilla options anymore. The surfaces are too clean, the market makers are too good, and you’re not finding anything in 2026 that a desk in Chicago didn’t price five minutes ago.”

If you spend any time around trading...

10 days ago
11

How Benn Eifert's QVR Blew Up

If you’ve spent anytime on Fin-Twit in the last few weeks, you’ve likely heard about one of the major names in the volatility trading space who recently encountered some trouble:

What makes this case notable beyond the existing popularity...

19 days ago
33

We Rebuilt Alphanume From Scratch

For the past few months, one of the most common pieces of feedback we received about Alphanume sounded something like this:

“The datasets are incredibly interesting, but APIs are too difficult to use.”

Which, honestly, was fair.

The or...

20 days ago
11

Unironically Using AI for Alpha Generation, Again.

Four models, one decent idea, zero working alphas. Progress, sort of.

If you have been in the systematic trading space long enough, you know that once you have an idea, getting it to production is a fairly “simple” process. You write the c...

21 days ago
7
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    Research, infrastructure, and quantitative market analysis for serious traders and operators.

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