Investment firms and vendors are searching for signals in healthcare and pharmaceutical data in a bid to get a leg up on a Covid-19 vaccine.
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.
Using alternative data to understand macroeconomic conditions in almost real time can give investment teams an edge.
The global market index firm is quantifying innovative investments and mapping them to a company’s performance.
As the fight over market data fees in the futures market heats up, the Chicago-based trading platform provider is rolling out a new platform that provides a free view of market order flow for TT platform users.
For good reason, machine learning has a highly technical focus. But less talked-about challenges lie in managing the human capital and workflows associated with the tech.
As the coronavirus drives trading volumes, post-trade processing is increasingly an area of operational risk, and firms should consider automation, analyst says.
Unprecedented volatility in March is leading the bank to double down on its AI systems in a big way.
Carson Boneck shares his thoughts on Balyasny's efforts to marry the best of its fundamental and quant teams.
Fund administrators are dealing with unprecedented volumes of pricing information and exceptions.
The newly fledged UK hedge fund has outsourced its portfolio management tech and operations to third parties, a move that has helped it through the coronavirus pandemic.
The firm's chief scientist discusses how NLP is being used to prevent the spread of the coronavirus and how it can be applied for financial services.
If hedge funds and VCs tighten their spending in 2020—a likely outcome—it could be the alternative data market taking the brunt of the punishment.
In the pursuit of new ways to eliminate latency from the market data distribution and trading processes, vendors have invested in hardware-acceleration technologies, such as FPGAs. But with commodity chips now giving specialist hardware a run for its…
Many quants contend that you must be able to interpret machine learning in order to use it.
A look at some of the key "people moves" from this week, including Kevin O’Connor of Algo-Logic (pictured).
With the growth of alternative data in the capital markets, firms are struggling to find value, and are disillusioned by the loss of time, human capital, and money. Goldman Sachs’ Matthew Rothman believes this has created a situation where vendors and…
Capital markets firms are continually looking for new ways to package and visualize a rising tide of information. It turns out there’s another industry looking to handle the same challenge—the video game industry.
Concurnas founder says his language will help traders work more easily with concurrent computing and offer a Python-like syntax with Java-scale performance.
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.
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.