A summary of some of the past week’s financial technology news.
The value of real estate markets dwarfs other asset classes, but a lack of data has hindered its development. Part 1 of a 2-part series.
With alternative data on every firm’s agenda, Max looks at efforts designed to make it easier to integrate new data sources into investment strategies, and why standards for alternative data represent an important step forward.
Alternative data holds great promise as a leading indicator of alpha. But in response to firms struggling with the data science aspects of integrating the data, various industry participants are pursuing new initiatives to make it more accessible, reports Max Bowie.
Lucena will provide a pre-packaged signal based on Wall Street Horizon's earnings dates revision data, for buy-side firms without the in-house resources to analyze the raw data themselves.
Joanne Faulkner reports on Nasdaq’s new hub that allows investors to apply machine intelligence techniques to proprietary and third-party datasets to create new signals that they may not have been able to access on their own.
The companies will use Nasdaq's data and Lucena's predictive analytics techniques to develop a new data product.
The vendor has developed the predictive analytics-based FX trading strategy with an unnamed London wealth manager.
Waters takes an in-depth look at advancements made in this field of artificial intelligence and where there's still room for advancement.
The "reinforcement learning" helps Lucena refine its predictive analytics algorithms.
Originally developed to demonstrate Lucena's QuantDesk platform, the model portfolios are now available as standalone tools.
The move will broaden the vendor's offering to a new audience in addition to short-term traders.
New dataset will support price forecasting and event signal analysis, officials say.
The new addtions are part of a push at the vendor to grow its predictive indicators around investor and consumer sentiment
The financial data industry continued to pursue cloud adoption in 2014 to achieve IT cost efficiencies and manage rising volumes of data, despite one of the key financial cloud players pulling out of the business.
Vendor uses consumer mobile location data to predict store fortunes and share prices
Atlanta, Ga.-based decision support analytics provider Lucena Research is integrating direct trading capabilities from US brokerage firm Interactive Brokers into the vendor’s QuantDesk predictive analytics platform, to enable joint customers among…
Atlanta, GA-based decision support analytics provider Lucena Research is migrating the infrastructure behind its QuantDesk predictive analytics platform to the Amazon Web Services cloud, to provide greater scalability to support its expanding customer…
Atlanta, GA-based decision support analytics provider Lucena Research has raised $1 million in a recent funding round to support "rapid expansion" of its cloud-based QuantDesk predictive analytics platform.
Atlanta, GA-based decision support analytics provider Lucena Research has hired Todd Smallwood as vice president of business development for the Southeast US region, based in Atlanta, Georgia, and reporting to Lucena chief executive Erez Katz.
Max harks back to the glory days of winter sports, and discusses how vendors are dealing with challenges of Olympic proportions in today's challenging markets.
Atlanta, Ga.-based analytics provider Lucena Research is acting as a development partner for Bloomberg, after launching a set of quantitative, machine-learning-based analytical tools based on its cloud-enabled QuantDesk decision support platform for…
Atlanta, GA-based decision support analytics provider Lucena Research is adding new event studies to Bloomberg's App portal of third-party applications, to meet demand from customers for out-of-the-box research based on the vendor's QuantDesk decision…
Atlanta, GA-based decision support analytics provider Lucena Research has added support for intra-day signals to its QuantDesk Event Analyzer module, a machine learning event study technology for identifying buying and selling opportunities based on…