[ad_1]
Researchers from the Swiss National Bank have shown how a trading strategy that uses fine-tuned large language models (LLMs) to analyse sentiment in the foreign exchange market could outperform traditional language-based artificial intelligence methods.
The authors of the SNB working paper, Daniele Ballinari and Jessica Maly, suggest that by fine-tuning LLMs to better understand the jargon of FX markets, trading strategies can be created based on the sentiment they detect.
LLMs “provide innovative
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 info@fx-markets.com or view our subscription options here: https://subscriptions.fx-markets.com
You are currently unable to print this content. Please contact info@fx-markets.com to find out more.
You are currently unable to copy this content. Please contact info@fx-markets.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@fx-markets.com
[ad_2]
Source link
