Two types of quant researchers that I've encountered in my career.

Reminds me of the Forbes Under 30 startup that spiked people’s drinks at the U30 event and pitched everyone that color-changing nail polish 😂

Just came across a startup scam where they offer to remove a 1-star review for a fee. Turns out they’re the ones who left the 1-star review to begin with.

Eurex data is now available on Databento. Access real-time and historical data from Europe's largest derivatives exchange, sourced directly from our colocated servers in Equinix FR2. Coverage includes: ✅ DAX and EURO STOXX 50 futures and options ✅ Euro-Bund, Euro-Bobl, Euro-Schatz fixed income derivatives ✅ VSTOXX and volatility products ✅ 600+ single stock options on European and US underlyings Available in L1, L2, L3, trades, OHLCV, and reference data formats. Read the announcement here: to.dbn.to/4nHRYKb #Eurex #derivatives #futures #options #marketdata

We haven’t even announced it and someone signed up for our newest dataset within 5 minutes of release

(As you've probably inferred, the fund would like the full terms of the agreement to remain confidential, as Databento is a part of their future plans now. databento.com/blog/databento… )

But what I'm most proud of is this: the same platform a multi-billion-dollar hedge fund relies on is accessible to anyone. A student with a laptop gets the same quality data, the same APIs, the same performance. We're just getting started. Thanks to everyone who's believed in us, used our product, given feedback, and pushed us to build better. This is for you.

We now serve over 20,000 customers - from individual researchers to institutions managing hundreds of billions in AUM. We've grown revenue over 50% quarter-on-quarter. We've launched 75+ datasets and built our infrastructure with quality and scalability in mind.

This isn't just a funding announcement. It's validation that what we're building matters. A quant fund managing billions became our customer first, tested our infrastructure against the toughest requirements in the industry, and then decided to back us as investors.

Two years ago, we launched Databento and onboarded our first customer. Today, I'm excited to share that a multi-billion dollar hedge fund selected Databento as their primary market data provider for options trading - and made a strategic investment in us.

me: spends $30 on a budget costume from Spirit Halloween for once my mom: “what anime is this from?”

she out to be ashamed of herself. Goldman Sachs? ugh.

How to compare US equity options volume across execution venues - Tutorial here: to.dbn.to/optionsvenues

US equity options trading happens across 18 execution venues in 6 exchange groups. If you're doing microstructure research, execution analysis, or planning infrastructure, knowing where volume concentrates matters. We put together a quick Python tutorial showing how to use the publisher_id field from OPRA OHLCV-1m data to track & compare volume by venue.

We made Linkedin URL a requirement in the job application process as of today. Reasoning below: - This helps us suss out both scammers and moonlighters. - Scammers input broken Linkedin URLs, fake profiles, or have no profile at all. - Moonlighters (people who work remote for 2+ companies at once) don't update their Linkedin to prevent getting caught. - It also narrows down our applicant pool and saves significant time. - This wouldn't have been a requirement 10 years ago. But today, everyone should have a Linkedin, no matter how genius you are, especially if job-hunting.

It's likely a large-scale operation like this: en.wikipedia.org/wiki/North_…

We get a lot of "I love you" messages 😂 and wondered if it was some Gen Z language...

RESUME FRAUD ALERT: Grab your popcorn cuz this is wild. 🍿 We noticed a new type of resume fraud, with the following patterns: 1. Overly generic Western + Asian name combo (Kevin Chen, Robert Lee, etc) that's impossible to look up . 2. Graduation year ~2013 on average. 3. School is either: Uncommon tier 1 (Caltech, Tsinghua, etc.), or some school in Texas (Houston, Arlington, Dallas, Austin). No GPA. No courses or activities. 4. Multiple stints in brand name >$1B startups (Clickhouse, Clickup, Block, Stripe, Twilio etc.) and large tech firms (Meta, Google, etc). 5. Non-working LinkedIn URL if included. 6. Too much diversity in technology (resume claims to have everything from devops, to backend, frontend, API, CI/CD, AWS, etc. in too many languages). Word salad. 7. Very similar formatting that doesn't follow a common convention (e.g. LaTeX). If I had endless time on my hands, I'd video-interview one of them just to suss out more info about their operation (blink twice if you need help). This would be fun for an investigative journalist to pursue.

Apparently I'm an idiot and it's "misinformation" not "disinformation" 😂 sorry yall