Quants and data scientists can now access five years of Level 3 data through the vendor's Data Lab platform for use in alpha generation.
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.
Anthony looks at what's become of NEX since the CME acquisition, as well as discussions over odd lot reform and S&P's Kensho implementation.
The vendor will roll out new coverage across OTC derivatives, fixed income, and FX in the third and fourth quarters.
While many firms have enforced hiring freezes during the pandemic, the regulatory reporting vendor has plans to aggressively grow its staff count.
The firm developed a short-term data strategy to avoid the use of unreliable data and better understand the effects of the pandemic on the market as it evolves.
Experts from UBS, Unigestion, MIT and QuantConnect discuss the need for nowcasting, and what the alt data boom has made possible in trying to navigate today’s crisis.
The investment bank’s deputy chief digital officer says machines cannot predict markets, as the bank consolidates trading operations and builds an AI trading platform for fixed income and FX.
Cybersecurity insurance is getting more expensive as insurance underwriters grapple with a lack of data on this ever-evolving coverage area.
As increased regulatory reporting obligations add to the pressure financial institutions are under to manage intraday liquidity, centralizing siloed legacy systems into a single automated solution can offer an enterprise-wide, real-time view of liquidity…
The global data giant is working with clients to deploy its data services from the three main cloud providers.
With Benoît Legrand firmly in the driver’s seat, the last four years have seen ING push to transform its IT landscape and approach to innovation.
Banks have long been using synthetic data to validate solutions, but tech advancements and regulatory pressure have established this practice as a crucial step in the development and testing of technologies.
The vendor is partnering with Sydney-based RoZetta, which has extensive experience in handling tick data in the cloud.
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
The service will allow investors to perform deeper analytics on data from Freddie Mac and Fannie Mae.
The combination of the two technologies is bearing fruit for firms struggling with legacy architectures, but education and talent remain tough obstacles to overcome.
M Data Viz provides granular data on weather events by state and region to support investment processes.
The ESG space is growing rapidly and gaining more attention, but one area that has been largely ignored by data providers is that of ESG information specific to fixed-income investors.
WatersTechnology investigates the torturous journey to create a stock-trading database for the US, and where the project goes from here.
Months away from the UK’s departure from the EU, much of the industry is still in the dark over operational requirements post-Brexit, and time is running out.