JP Morgan pulls plug on deep learning model for FX algos
US 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 info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Markets
Sustainable bond markets miss an options trick
A derivatives mindset could boost lagging sustainability-linked market, argues climate think-tank
FX dealers face end-of-day trading stress from T+1 shift
Experts say switch to using overnight swaps could be “problematic” and lead to wider spreads
Consortium backs BGC’s effort to challenge CME
Banks and market-makers – including BofA, Citi, Goldman, Jump and Tower – will have a 26% stake in FMX
Natixis turns on the taps in flow trading
French bank boosts flow business, balancing structured solutions capabilities
Rethinking P&L attribution for options
A buy-side perspective on how to decompose the P&L of index options is presented
Buy side would welcome more guidance on managing margin calls
FSB report calls for regulators to review existing standards for non-bank liquidity management
Citi halves swaptions book with US retail funds
Counterparty Radar: Mutual funds and ETFs cut exposures by 22% in Q4
Who’s winning the €STR futures race? Depends how you measure
CME, Eurex and Ice all claim to be leading, but experts say it’s too early to pick a winner