US equity options trading is spread across 18 execution venues within six exchange groups. Using the publisher_id field from our OPRA OHLCV-1m data, you can track volume for each venue—helpful for microstructure research, execution analysis, and infrastructure planning. Check out our #python tutorial on how to compare US equity options volume by venue. See comments for the link 👇
Databento
Financial Services
Salt Lake City, Utah 17,766 followers
A simpler, faster way to get market data.
About us
Databento makes it simpler and faster to get market data. Our self-service model allows users to instantly pick up live exchange feeds and terabytes of historical data - and only pay for what they use. Databento provides both historical and real-time data, both raw PCAPs and normalized data, both usage-based pricing and affordable monthly subscriptions, as well as connectivity solutions. Since launching 2 years ago, Databento has gained over 12,000 customers, from early-stage startups to the largest financial institutions in the world. Databento's team has walked in the shoes of its customers, bringing years of experience running high-frequency trading desks from firms like Two Sigma, Flow Traders, Virtu, and Tower Research.
- Website
-
https://databento.com/?utm_source=linkedin&utm_medium=social&utm_campaign=company-page
External link for Databento
- Industry
- Financial Services
- Company size
- 11-50 employees
- Headquarters
- Salt Lake City, Utah
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Fintech, Market data, and Algorithmic trading
Products
![Click here to view Databento]()
Databento
Financial Data APIs
Databento modernizes market data access with high-performance APIs and institutional-grade data, combining real-time feeds sourced directly from colocation facilities and petabytes of historical data into a single, self-service platform. Databento is an official data distributor for over 45 venues. Databento has helped thousands of users—including prop firms, hedge funds, and tech startups—access market data instantly and pay only for what they use. With powerful APIs and extensive documentation, teams on Databento can go from idea to production in minutes instead of months, eliminating data infrastructure complexity and freeing up critical engineering resources.
Locations
Employees at Databento
Updates
-
The Deutsche Bank Academic Insights report recently featured Databento's introductory guide to matching engines. This guide covers almost everything you need to know about matching engines, including: - Components and terminology - Matching algorithms - Datacenter locations - Latency analysis - Optimization strategies - and more! Link in comments ⬇️
-
-
Turns out people love it when: - Real humans answer your support tickets in minutes, not days - Documentation covers everything—with guides, examples, and code snippets - Pricing is listed directly on the website, no sales call required to see what things cost We appreciate every piece of feedback we get, whether positive or negative, as only through open dialogue can we improve. Thanks for being real!
-
-
Market movements don't just affect portfolios—they also have a human impact. The Social Policy Group an Australian nonprofit, uses market data to inform its research on how economic changes affect affordability and financial hardship for at-risk communities. "Databento helps us model currency impacts and global financial markets on vulnerable groups in Australia and the region. It informs policy and helps us predict cost-of-living pressures across different ages, genders, and professions," says CEO Carla Wilshire
-
-
New Python #quant tutorial: Learn how to find the publishing schedule for any instrument statistic. Context: Exchanges publish a variety of statistics throughout the day. Some are published only a few times per day, while others are published continuously during the trading session. Different products can also have different publishing schedules. Our latest tutorial shows you how to determine the publishing schedule for each statistic offered for an instrument. ⬇️ Link in comments
-
-
Databento reposted this
Databento explores a Velocity Logic event in detail, illustrating how the market state changes over time: https://lnkd.in/eUCJV9vK #PythonProgramming #AlgoTrading
-
-
Databento reposted this
Databento explores a Velocity Logic event in detail, illustrating how the market state changes over time: https://lnkd.in/eUCJV9vK #PythonProgramming #AlgoTrading
-
-
Meet one of our engineering managers, Enda Peng. In our meet the team series, we share an inside look at the team building Databento. Enda worked as an engineer at Two Sigma prior to joining Databento as one of the earliest employees—before we had a single user. Read Enda's full story below ⬇️
-