SNB researchers test LLM-based FX trading strategy
Meta’s Llama 3.1 comes out on top at predicting G10 currency sentiment based on news articles.
Researchers from the Swiss National Bank have shown how a trading strategy that uses fine-tuned large language models (LLMs) to analyze 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@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
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@waterstechnology.com
More on Emerging Technologies
LSEG’s TradeAgent to challenge swap confirmation monopoly
Post-trade platform aims to extend clearing efficiencies to bilateral markets beyond SwapAgent.
Buy-siders invest in private-markets platform, Broadridge expands crypto dealings, and more
The Waters Cooler: CME, ICE, and Nasdaq make other headlines; market data price increases slow; a new Cusip lawsuit and more.
Jump Trading CIO: Prop AMMs allow users to create ‘a mini Jump Trading’
Dave Olsen said at FIA Boca that a new concept, proprietary automated market-makers, had grabbed the firm’s attention this year.
SigTech’s closure amid agentic AI boom raises questions
Sources say competition from leading AI companies was too stiff to combat.
Apac buy-side firms embrace AI, automation to optimize business processes
Survey of Apac buy-side firms shows growing AI, API and automation usage to enhance investment workflows and enable data integration
FHLB Cincinnati explores AI to spot failing banks
The financial risk head at FHLB Cincinnati is developing an agentic model to draft reports for analyst review.
Waters Wavelength Ep. 347: Brennan Carley
This week, Brennan Carley, who has spent more than 40 years working in financial technology, joins to discuss the hidden risks and untapped potential of agentic AI in the capital markets.
MarketAxess and DirectBooks partner, MSCI debuts AI connectors, and more
The Waters Cooler: Canton’s consortium advances cross-border collateral mobility, TRG Screen launches a market data ROI calculator, and Trading Technologies provides direct connectivity to India in this week’s news roundup.
