Cboe provides high-quality, real-time data to some of the most innovative firms operating in financial markets today. By partnering with Cboe, these companies are able to develop unique solutions and products to better serve audiences looking to engage with markets around the world.
We put these firms in the spotlight so they can share their stories with our global network. We are proud to partner with firms operating at the forefront of global finance, and we want you to know about them too.
Sentieo - Financial Data Platform
Sentieo is a full-featured financial data and research platform designed to optimize the equity research process. The platform helps more than 600 customers - including hedge funds, investment banks and private equity firms - simplify their workflow and make better decisions by providing a unique combination of financial, linguistic, and alternative data along with a collaboration tool.
The idea for Sentieo came from CEO and co-founder Alap Shah, a former Wall Street analyst who found himself frustrated with the lack of adequate tools available for the buy-side research workflow. Sentieo was launched in 2016, and two years later, the company processes more than 20 million financial documents from 64,000+ companies around the world.
Cboe powers Sentieo’s equity data terminal and launchpad screens by providing real-time U.S. equities pricing feeds. With that data, Sentieo’s customers can stay on top of the markets in real-time - without having to go to another terminal or data source.
Shah says that his customers’ favorite feature is the ability to rapidly search through millions of financial documents in seconds using the platform’s natural language processing algorithms.
“Much of the important information that financial analysts need is contained in unstructured text, which we make more accessible to our users,” Shah explained.
“Sentieo’s platform is underpinned by the latest search technology,” he said. “We overlay search, collaboration and automation on key aspects of an analyst's workflow. That way, our customers can spend less time searching, and more time analyzing.”
Sentieo will be enhancing its ability to extract data from unstructured documents using machine-learning technology. Over the next 12 to 18 months, Sentieo also plans to grow its team and expand into existing markets, with a primary focus on the buy-side community.
BMLL Technologies - Data Science Platform
BMLL Technologies is a cloud-based data science platform for machine learning research and development offering access to historical full depth order book data, unlimited compute power and a wide range of data science and machine learning toolboxes.
Born out of the machine learning labs in the Engineering Department at Cambridge University, it is a platform designed for data scientists by data scientists. You no longer need to buy and curate the data yourself from global financial exchanges, to be able to mine the value out of this trade data.
BMLL holds every single trade and quote (on- and off-book) from Cboe Europe back to January 2016. Users can analyse Cboe Europe data alongside data from other European equity exchanges, as well as futures and options markets. In addition, access to Cboe BXTR trade reporting data allows in depth analysis of off-exchange data as well.
To differentiate from more traditional historical data providers, users do not buy data, compute power and analytics from BMLL they rent it on-demand. Clients, including investment banks, hedge funds, asset managers, academic institutions, do not need to spend hours sourcing, processing and curating large data sets, not to mention support the cost of storing it, as BMLL does it for them.
Via a Python-based Jupyter Notebook interface, clients can use the platform for an ever-growing number of use cases. These include:
- TCA / best execution / slippage / market impact analysis
- Quantitative research - academic research, signal processing, order imbalance analysis
- Algo back testing for P&L purposes
- Market simulation for aggressive and passive orders
- Compliance testing prior to algorithms going live (ensuring algorithms do not disrupt the market structure)
- Market locked status
BMLL continues to add data sets, experience new use cases and develop in-house built analytical packages.
Invstr. Play-Learn-Invest. App that allows everyone to become an investor.
Invstr engages users via an auto-personalized mobile platform that offers the ability to practice playing investment games, follow instruments, connect with other Invstrs, and trade via partner brokers.
Markets Invstr carries streaming real-time Cboe equity and index data. It takes advantage of Cboe’s pan-European coverage as a one-stop shop for 15 markets in Europe, and large presence in the U.S. Other real-time asset classes include Crypto-currencies, FX, bonds, futures and commodities. Additional regional equity markets are covered in delayed form. Invstr also offers fully customizable market news from top financial publications and commentators.
Users can customize their watchlist to follow instruments that interest them, or are recommended to them, and instantly access related information via each instrument hub. This includes comparison charts with technical overlays and annotation capabilities, news, posts, research and calendars.
Gamification Users can practice buying and selling investments with streaming market data in a fun and safe way by playing games. They can watch their investment game P&L update in real-time and see where they stand against the rest of the Invstr community through the leader board.
Social Invstr offers a full social engagement experience. Users can share their opinions, news articles, charts and game performances by connecting with other ‘Invstrs’ across the world; and even share across other social platforms including Twitter, Facebook, LinkedIn and Instagram.
Investing Through local broker partnerships, Invstr users can trade for real, including fractional share trading with US broker DriveWealth, LLC.
Service Solutions & Affiliations Invstr offers co-branded and white labelled solutions to financial and media organizations looking to re-engage and understand the needs of their clients by using Invstr’s neural-network recommendation and marketing engines, feature function-based APIs and web widgets.
TickerTags – Connecting trending social content to investable companies
TickerTags captures and measures the activity of conversations across different social content. By identifying conversations and themes across a broad swathe of potential channels, TickerTags provides data that can act as an early alert system to factors that could affect market price, all accessible through a mobile app.
In practice, TickerTags maintains an evolving library of 800,000 curated tags (e.g., key products, brands, competitors, topics, affiliated people, places, regulatory threats) that are in turn indexed to 2,500 publicly investable assets. The firm provides a minute-by-minute statistical analysis of the number of times a tag is mentioned across all documents coming from a specific data source. The same is done for online news, product reviews, blog and message board posts, and social video comments covering a robust representative sample of the world’s online and social content.
With the recent addition of Cboe's real-time data, TickerTags user interfaces now include price information across all U.S.-listed corporate companies monitored. This helps to identify asset performance — and any price impact — with users able to see how changing sentiments and developing information flow affect prices immediately — as well as a target based on how prices could move, based on current news flow, in the future.
By integrating with Cboe, and using Cboe's data to illustrate fast-moving markets, TickerTags helps to bridge, filter, and measure immense volumes of otherwise noisy and unusable unstructured social data to give users a vastly better view of how information — and therefore prices — could be trending.
While TickerTags is relatively new, early customers of the firm include some of the world’s most influential banks and hedge funds. In time, the team plans to release an API product license encompassing regularly updated brand/product mapping relationships to 2,500 publicly traded companies, following strong demand.
missingSTEP – Suite of mobile apps providing real-time stock analysis
San Francisco-based missingSTEP is a leading investment analysis tool provider for the mobile market. The company reaches more than 300,000 users through mobile applications that combine a deep understanding of what traders want with cutting edge app design innovation.
The result is a sophisticated set of tools that ensure users — often expert technical traders — can manage risk easily and on the go.
Of missingSTEP’s suite of nine apps, Daily Stocks Pro is the most popular, and best known. It was previously named Best Finance App of the Year by Apple, and was one of the top ten top grossing apps in the entire App Store.
An advanced stock analysis tool, it filters all stocks traded on Cboe and identifies those showing the greatest potential for profit. Behind the scenes, Cboe data is used to run technical trading models and to filter and scan the market for predefined technical conditions.
“Our goal is to enable our customers to successfully engage with financial markets around the world, which is why real-time, high-quality market data is so vital for our business and our users,” says missingSTEP founder Alp Simsir. “The adaptability of Cboe data, matched with Cboe commitment to low cost, is critical for us as we develop and innovate our offer to our customers.”
Other missingSTEP apps, like 1 Stock A Day, offer share predictions and community signals for buying and selling securities, while others offer data and signals on the global FX market and commodities complex.
All missingSTEP apps share a common feature: they are tailored to the specific needs of users. Because just as Cboe agrees, when it comes to financial markets and market structure, one size doesn’t fit all.
missingSTEP will make in-app trading available in Q1 2017, underscoring the importance of real-time market data.
The company also wants to make its apps available for Android devices, and after significant requests from users, is looking into building a Windows-based desktop platform.