Goldman improves execution ‘by 50%’ with new algos

Bank uses neural networks and other AI tools to cut slippage in stock trading

Goldman-Sachs-headquarters.jpg

Goldman Sachs is creating a new breed of execution models that aim to better reflect intraday trends and correlations in global equities markets.

Initial use of the technology has improved trade execution quality by 50% over the past six months, the bank claims. The improvement is measured against client’s benchmark expectations and single-stock alternatives. The bank says the effort will help minimise slippage during completion of a trade.

“Broadly speaking, the models have improved trade

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected]isk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: