Built for Databento

Three concept pieces in your brand.

One for each kind of request in your post: a launch, an event and a complex idea made clear. Each one stays inside your brand and stretches it into a new format.

Concept 1 · Launch

Core Indices launch kit.

A launch needs one message in several formats. A one-pager a seller can send, and a post, a banner and a story for the campaign, all carrying the same ticker wall.

Answers: launches · campaigns · social and display

Built from

Your Core Indices launch post: 2,500+ indices, the Cboe Global Indices Feed, the dataset ID, the coverage groups and the plan price. I wrote no new product claims.
Sources: Core Indices launch post · databento.com · Customer story: Double River

Stays in the brand

Your purple and deep navy, Inter type, white cards and the small coral button. The ticker wall is the only new graphic.

Reusable

Swap the headline, the three facts and the price band for the next dataset. The wall keeps the same grid.

Core Indices

2,500+ indices.

Sourced from Cboe Global Indices Feed.

Equity benchmarks
Volatility (VIX)
Settlement values
ETF iNAVsNearly 300
Crypto
2,500+indices

Illustrative graphic. Not market data.

SourceCboe Global Indices Feed
Dataset IDDBIX.CORE
CoverageFive index groups

Build your first application in 4 lines of code

PythonRustC++HTTP
Plans start at$99/month
Get Core Indices ›
Front · US Letter

From futures to indices, one catalog.

Futures

650,000+ symbols

Options

All US equity options exchanges

Equities

15 exchanges and 30 ATSs

Indices

Over 2,500 spot indices

Historical

Up to 15 years and 19 PB of normalized data. Over 3 million active symbols.

Latency

590 microseconds. The median latency from matching engine to your application over internet.

“The quality was better than some of the standalone exchange data we'd accessed in the past.”Nelson Griffiths, Double River. From a Databento customer story.

$125 in free credits.databento.com
Back · US Letter

Post · 1080 × 1080

Core Indices

2,500+
indices.

Sourced from Cboe Global Indices Feed.

Equity benchmarks
Volatility (VIX)
Settlement values
ETF iNAVsNearly 300
Crypto
2,500+indices

Illustrative graphic. Not market data.

DBIX.CORE

Get Core Indices ›

Story · 1080 × 1920

Core Indices

2,500+
indices.

Sourced from Cboe Global Indices Feed.

Equity benchmarks
Volatility (VIX)
Settlement values
ETF iNAVsNearly 300
Crypto
2,500+indices

Illustrative graphic. Not market data.

Dataset ID DBIX.CORE

Get Core Indices ›

Plans start at $99/month

Banner · 728 × 90

Core Indices2,500+ indices. Sourced from Cboe Global Indices Feed.

Get Core Indices ›

How the kit rolls out

Announce

The post and the story carry the headline and the ticker wall to the people who follow you.

Follow up

The banner keeps the same line in front of readers who have not clicked yet.

Close the sale

The one-pager gives a seller the source, the dataset ID and the plan price on the front.

Concept 2 · Event

Quant meetup event set.

An annual quant meetup in Chicago, co-hosted with Architect. One big line people can read across the room, a table banner, a name badge and the slide on the sign in screen.

Answers: event signage · print collateral

Built from

Your homepage headline and your quant meetup post: annual, in Chicago, co-hosted with Architect, with a lightning talk and a panel.
Sources: databento.com · Chicago quant meetup post

Stays in the brand

Deep navy and purple, Inter type, and the bracket mark as the only graphic. At event size, less is easier to read.

Reusable

Swap the city and the co-host for the next show. The badge, banner and slide keep the same grid.

Backdrop · 10 × 8 ft

Co-hosted with Architect

The annual quant meetup

Chicago
Quant Meetup

A simpler, faster way to get market data

Lightning talkPanel

Table banner · 6 ft table, front panel

Chicago Quant MeetupA simpler, faster way to get market data

Name badge · 3 × 4 in

Quant Meetup · Chicago

NameCompany

Co-hosted with Architect

Sign in slide · 1920 × 1080

Welcome

Chicago
Quant Meetup

Co-hosted with Architect

Lightning talk
Panel

Sign in

Name and company

A simpler, faster way to get market datadatabento.com

Concept 3 · Explainer

Market data explained.

One example order book, shown three ways. The same six prices and the same orders become the mbo, mbp-10 and mbp-1 views, from L3 to L1, so you can see what each one keeps and what it drops.

Answers: diagrams and infographics · reusable templates

Built from

Your schema names and their definitions, word for word from your docs: mbo (L3), mbp-10 (L2) and mbp-1 (L1). The closing line is from your homepage: build your first application in 4 lines of code. The example book is made up and labeled illustrative.
Sources: Schemas and data formats · databento.com

Stays in the brand

Navy and white slides, your purple and coral, Inter type, and Inconsolata style mono for prices and schema names.

Reusable

Swap the book or the schemas for the next explainer. The ladder, the chips and the footer keep the same parts.

Slide 1 · 1920 × 1080

Market data explained

One order book,
order by order.

This is the mbo (L3) view of one example book.

4One chip = one orderThe number is its size.

Asks

100.0346
100.0235
100.01214Best ask

Bids

100.0053Best bid
99.9963
99.98417
Illustrative example. Not market data.databento.com

Slide 2 · 1920 × 1080

The three views

Same book, three views.

mboL3

Every order

Asks

100.0346
100.0235
100.01214

Bids

100.0053
99.9963
99.98417

4One chip = one orderThe number is its size.

mbp-10L2

One total per price

Asks

100.0310
100.028
100.017

Bids

100.008
99.999
99.9812

This example has three levels a side. mbp-10 covers up to ten.

mbp-1L1

Best bid and best ask

Asks

100.017

Bids

100.008

Filled prices mark the best bid and best ask.

Illustrative example. Not market data.databento.com

Slide 3 · 1920 × 1080

Schema definitions

Three schemas, defined.

mboL3

Full order book data, including all buy and sell orders at every price level.

mbp-10L2

Aggregated book depth with every trade and book update at top ten price levels.

mbp-1L1

Aggregated book depth with every trade and book update at BBO.

Build your first application in 4 lines of code

PythonRustC++HTTP

Infographic template · 1080 × 1350

Market data explained

One example book,
three ways.

mbo

L3

4One chip = one orderThe number is its size.

Asks

100.0346
100.0235
100.01214

Bids

100.0053
99.9963
99.98417
mbp-10

L2

This example has three levels a side. mbp-10 covers up to ten.

Asks

100.0310
100.028
100.017

Bids

100.008
99.999
99.9812
mbp-1

L1

Best bid and best ask only. Filled prices mark them.

Asks

100.017

Bids

100.008

Illustrative example. Not market data.

Build your first application in 4 lines of code

databento.com
Template parts: headline, three view cards with a name and a level label each, and the footer band.

How the explainer works

One book, three views

Slide 1 shows the book in the mbo view. Slide 2 puts the three views side by side. Slide 3 gives the three definitions.

Same orders, less detail

mbo lists every order at its price. mbp-10 adds the orders up at each price. mbp-1 keeps only the best bid and the best ask.

One template

The infographic uses the same parts as the slides. Swap the title, the three cards and the footer for the next topic.