In minutes, JEFQuants compiles information from multiple sources into a unique data package based on traders' queries.
Advancements in modeling and the rise of alt data have made the process of prepping for the US presidential election more complex, but hopefully more accurate.
The bank's AI-powered research chatbot, developed with Symphony Communications, acts as a personalized research assistant and will soon be rolled out to external clients.
Later this year the vendor is looking to allow users to clip together various components of an algorithmic trading strategy, making it easier for users with limited programming skills to build their own trading strategies.
After the route toward accreditation via the ISO petered out, Bloomberg is vying to establish its reference data standard as a system of record in the US, following a win in Brazil.
What if you could create your ideal, fully-functional application without writing a single line of code? With low-code and no-code platforms, you can—with a catch … or two, or three, or four.
The new datasets mark a milestone in the company's multi-year strategy to allow investors greater access to small and medium enterprise companies.
Morgan's Morphir offering is a transparency and efficiency tool for both users and developers; EPAM's GLUE is aimed at the buy side.
A look at some of the past week's financial technology news.
Snowflake is already working with the New York Stock Exchange on how to make its data easier to access for the pair’s overlapping clients.
Not having specific requirements and procedures for firms to refer to ended up putting some funds in a tough place during the pandemic’s early days.
The chat and collaboration platform will tap into the trade and client lifecycle management spaces, beginning with an identity management service.
The company is rolling out two new APIs centered on oil as part of a broader push to bring commodities trading on par with cutting-edge equities markets.
The combined entity is pushing toward becoming a fully cloud-native, cloud-enabled platform.
As Covid-19 impacted companies and markets in March, the machine-learning startup sought to help clients better manage risk exposures that couldn't be explained by traditional risk factors.
A summary of some of the past week’s financial technology news.