Market data, in all its formats, has long been heralded as the lifeblood of trading. In the last decade, this truism has been magnified not only by the growing volume of data but also the increase in resources and expertise dedicated to sourcing,...

Sentiment, Signals and Surveillance

Greenwich Report
May 2020 By: Shane Swanson
Starting with the increase in computational power in the 1980s, NLP has continued to expand and grow. Today, converging with machine learning and AI, NLP can power a trading system to both avoid bad trades as well as generate alpha.
One person's struggle is another's opportunity - weaving the fixed income market into something that feels like a single interface remains challenging but is increasingly obtainable.

The Future of Trading: The People

Greenwich Report
April 2020 By: Kevin McPartland
Technology innovation isn't just about complete automation, but helping to make capital markets interactions between people more efficient.
Trading and investment ideas are increasingly being extracted from mountains of data in ways that were virtually impossible only five years ago.
These are our biggest market structure trends to watch in 2020.

The Future of Trading: Redefining Data

Greenwich Report
December 2019 By: Kevin McPartland
In this Greenwich Report we will examine the impact of data on financial markets, which data is likely to become the most valuable over the next five years, who will provide that data, and how traders hope to put it to use.

The Mortgage Market's Data Challenge

Greenwich Report
October 2019 By: Kevin McPartland
Greater data quality and data analysis is crucial to growing the mortgage market beyond its current state, but these obstacles have made the mortgage market a price case for the use of machine learning and big data.
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