JP Morgan pulls plug on deep learning model for FX algos
FX Markets USA: Bank turns to less complex models that are easier to explain to clients
JP Morgan has phased out a model that leverages machine learning technology for foreign exchange algorithmic execution, citing issues with data interpretation and the complexity involved.
The US bank had implemented what it calls a deep neural network for algo execution (DNA), which uses a machine learning framework to optimise order placement and execution styles to minimise market impact.
Launched in 2019, JP Morgan said at the time that the move would replicate reinforcement learning
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 customer services - www.fx-markets.com/static/contact-us, or view our subscription options here: https://subscriptions.fx-markets.com/subscribe
You are currently unable to print this content. Please contact customer services - www.fx-markets.com/static/contact-us 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.
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@fx-markets.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@fx-markets.com
More on Tech and data
Buy-siders call for FX options workflow overhaul
FX Markets Europe: Traders say electronification of FX options is still lagging
OMS wars: a new hope for the future
While Jedi powers may be needed to unpick the complexities of some order management workflows, but the dark side of these systems can be defeated by new enhanced solutions
FX data champion outlines transparency push
Stuart Simmons, new head of GFXC working group, wants trading platforms to come clean on how they use client data
Dealer relief at delays to Refinitiv Matching’s tech migration
First phase of replatforming for Swiss spot pairs set to be pushed to mid-2025
Common FX solution needed for mid-tier banks, says SG’s Estrada
e-FX Forum: Fee compression and costly tech spending should encourage dealer collaboration, he says
Data reveals hidden clockwork of FX forwards market
More than 70% of Vanguard’s volumes and nearly half of Pimco’s regularly occur on just four calendar days
Non-banks in RTGSs: greater efficiency or more risk?
Policy-makers and practitioners from central banks in Brazil, Hungary, Israel, Romania, Rwanda and the US share their perspectives
FX automation plans focus on predictive analytics – panel
Panellists suggest banks could explore AI tools for foreign exchange pricing
