Startup Koyfin Readies New Data, Tools for Research Visualization Platform
The new features and data will form the basis of a premium, fee-liable version of Koyfin's investment researh platform slated for launch next year.
Koyfin, a New York-based investment research data visualization startup, plans to roll out a series of new features by year-end, ahead of the introduction of a premium, fee-liable version of is platform next year.
Later this year, Koyfin will add portfolio analytics and time-series data, will add global data coverage to its existing US and Canadian equities data, and advanced screening tools, says CEO Rob Koyfman, who founded the company in 2016 after 15 years on Wall Street, including at Merrill Lynch, Goldman Sachs, Citigroup, Lyxor Asset Management, and Tekne Capital Management.
The vendor is already ingesting global equities prices, fundamentals, estimates, and valuations, as well as data on exchange-traded funds, mutual funds, yield curves, government bonds, and currencies, and will now start making the data available to its client base of 10,000 individual and institutional users.
The advanced screening tools will allow users to identify securities by their characteristics, such as performance measures or a company’s business lines.
“We had been holding off on building these as we added more data,” Koyfman says. Similarly, the vendor has held off on introducing fees for its web-based investment research platform—which is currently free of charge—until it had added these new components.
Though Koyfin has not yet decided the specific fees it will charge, it plans to continue offering a “pretty substantial” product free of charge, and to charge based on add-on premium functions and features.
For example, the free version will still have a screening tool, but the premium version will have more screeners and the ability to save, customize and share results. Similarly, the free version will include the ability to create a watchlist within its portfolio analytics dashboard, and the premium version will allow users to create multiple watchlists and to share them.
Koyfman says he expects to charge between $100 and $300 for a professional version, and a lower rate for a premium product aimed at individual investors.
“Our product roadmap is heavily influenced by our users,” Koyfman says. “We had a vision of what we wanted to produce, but going forward, we will put a heavy emphasis on what clients are asking for, and on usage analytics—so we have a good sense of direction based on that.”
The new developments will be funded by a $3 million investment round including private equity firms Craft Ventures, Atreides Management, and Valor Equity Partners, as well as existing investors including Social Leverage. The company was self-funded for its first two years before raising a “friends and family” funding round of less than $1 million, and a small round from Social Leverage.
To support its new features and expansion, Koyfin plans to hire marketing staff and more developers, and will next year also expand its sales team.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
New working group to create open framework for managing rising market data costs
Substantive Research is putting together a working group of market data-consuming firms with the aim of crafting quantitative metrics for market data cost avoidance.
Off-channel messaging (and regulators) still a massive headache for banks
Waters Wrap: Anthony wonders why US regulators are waging a war using fines, while European regulators have chosen a less draconian path.
Back to basics: Data management woes continue for the buy side
Data management platform Fencore helps investment managers resolve symptoms of not having a central data layer.
‘Feature, not a bug’: Bloomberg makes the case for Figi
Bloomberg created the Figi identifier, but ceded all its rights to the Object Management Group 10 years ago. Here, Bloomberg’s Richard Robinson and Steve Meizanis write to dispel what they believe to be misconceptions about Figi and the FDTA.
SS&C builds data mesh to unite acquired platforms
The vendor is using GenAI and APIs as part of the ongoing project.
Aussie asset managers struggle to meet ‘bank-like’ collateral, margin obligations
New margin and collateral requirements imposed by UMR and its regulator, Apra, are forcing buy-side firms to find tools to help.
Where have all the exchange platform providers gone?
The IMD Wrap: Running an exchange is a profitable business. The margins on market data sales alone can be staggering. And since every exchange needs a reliable and efficient exchange technology stack, Max asks why more vendors aren’t diving into this space.
Reading the bones: Citi, BNY, Morgan Stanley invest in AI, alt data, & private markets
Investment arms at large US banks are taken with emerging technologies such as generative AI, alternative and unstructured data, and private markets as they look to partner with, acquire, and invest in leading startups.