Neural Networks In Trading: Goldman Sachs Has Fired 99% of Traders Replacing Them With Robots
TechnologyBit News Today1 min read
99% of equity traders replaced by computers
Wall Street trading floor today: just two. Photograph: KeystoneUSA-ZUMA / Rex Features
Like many industries, Wall Street's embrace of technology has put tarnish on the once-glamorous job of stock trading over time. In 2017, Goldman Sachs added about 100 people focused on electronic execution, as Chavez spoke with Axios about the role of automation in finance. The trading floor today, however, is full of computers, not legions of people. Today, approximately 9,000 people, or roughly one-quarter of Goldman Sachs, work in various engineering-related roles.
Replacing trading desks with coding desks
In 2000, Goldman Sachs' U.S. cash equities team had 600 traders. At the same time, in 2017, 200 computer engineers were supporting those automated trading programs on the trading floor. While Goldman Sachs is the canonical story of automation replacing traders, it is by no means unique. Banks and investment funds have been tinkering for years with automated trading, prompting anxiety for employees. It has become clear across Wall Street that layoffs due to automation are an industry-wide shift. In turn, Chavez hinted that other areas are also ripe for seeing people replaced with technology, including currency trading and investment banking.
Can computer algorithms distinguish your Twitter account from your taco?
In addition, the platform analyzes social media sentiment, central bank communications, retail sentiment, technical factors, and event based signals. MarketPsych’s text analytics engine uses patented natural language processing software to deliver sentiment data. Built upon patented natural language processing software, the system derives trading and investment signals from growing numbers of structured and unstructured data sets in real time. Historical data dates back to 2009, long before the crypto boom.
The future of stock trading: Stay mindful of your Twitter
Today's equity markets, as you know, are dominated by computer algorithms. This is a classic case of the potential consequences of not having proper safeguards around automated trading systems. White-collar jobs, in turn, are no longer necessarily safe from automation across global equity markets.
