Attention Economy


Tuesday, January 26, 2016

News and Algorithmic Driven High Frequency Trading

A very interesting piece - The risks of fast news analytics and institutional trading
“Institutional traders in financial markets are increasingly sourcing information from ‘sentiment’ indicators; analytics created by computer algorithms from real-time content published by Dow Jones Newswires, Bloomberg, Thomson Reuters and other wire services. These indicators can tell traders within milliseconds whether an article is positive or negative and whether it contains relevant information affecting a firm’s value.
While this “meta-information” can provide a competitive advantage to its users (mainly high frequency and algorithmic traders like hedge funds), low-latency signals can lead to unintended consequences when algorithms automatically initiate trades based on inaccurate information.”