With regulators slow to answer industry questions relating to how a CT should be built and what it's for, development has slowed.
The bank is in the throes of a hefty transformation project within its Investor Services division, which began with machine-learning efforts last year.
The company is combining different data sources to help users spot market abuse and manipulation.
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
Clients can use the algos from the libraries to connect to their existing algos and strategies.
At Waters USA, the chief market intelligence officer of hedge fund Point72 discussed how tech and data are disrupting traditional ideas about investing.
The custodian is trying to make digitization core to all the organization's activities, its innovation head says.
An examination as to how the buy side is embracing algo wheels and where the challenges still remain.
The exchange group is developing new regtech products while looking to move these offerings to the cloud in 2020.
To get a good deal in fast-moving FX markets, buy-side firms need to know the time. Some of them don’t.
As more financial institutions are starting to expand their usage of AI, they are turning to the cloud to help scale up. However, there are things to consider before doing so. Wei-Shen Wong examines.
Smart contract developers should not be responsible for violations of regulation perpetrated on the blockchain, says Katten special counsel.
Many in financial services are trialing artificial intelligence (AI) applications, with projects increasingly sophisticated in methodology and ambition. WatersTechnology, in partnership with SmartStream, recently convened a Chatham House-style discussion…
Revamping systems for STP is more useful than robotics applied to limited aspects of operations and workflow.
The technology provider is using advanced techniques and encryption to enable institutions to share AI models.
Chi-X launched MatchPoint to meet the demand for anonymous trades during the closing auction.
The crowd-sourced trading platform is looking to create a competitive arena for quants to test their algorithms.
EQR is part of Quandl’s move to offer more exclusive datasets to its customers.
The latest big idea in machine learning is to automate the drudge work in model-building for quants
The new service for traders employs time series analysis to forecast rates for securities lending.
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
Potamus has seen its US equities platform grow in the past year.
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.