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FINTECH<br />

Cutting through the hype:<br />

Where AI is already making<br />

its presence felt in FX<br />

Artificial intelligence continues to extend its influence over FX. But despite advances in areas<br />

such as conversational interaction, no one expects the machines to take over any time soon.<br />

Paul Golden investigates.<br />

Paul Golden<br />

The extent to which artificial<br />

intelligence is utilised across the<br />

FX market is hard to quantify. One<br />

commonly referenced statistic is<br />

that around 90% of traders use AI<br />

and applications such as predictive<br />

analytics as part of their wider trading<br />

strategy.<br />

What can be said with certainty is<br />

that banks are increasingly integrating<br />

the technology - and associated<br />

technologies such as machine learning<br />

and natural language processing - into<br />

their trading platforms.<br />

For example, in May 20<strong>23</strong> HSBC<br />

launched AI Markets, a digital<br />

services offering that uses purposebuilt<br />

natural language processing<br />

to improve institutional investors’<br />

interaction with global markets.<br />

This functionality can be divided into<br />

three categories, the first of which is<br />

digitisation of single tasks with a rigid<br />

communication interface between<br />

machines, and between machine and<br />

humans where the challenges are to<br />

bring these functions together to build<br />

a complex system for complex tasks,<br />

and communicating with that system.<br />

Developments such as ChatGPT<br />

and the evolution of large language<br />

models bridge this gap and make<br />

the next category of functionality -<br />

conversational interaction with data,<br />

models, and systems – achievable with<br />

the next few years according to HSBC,<br />

which expects the third category (large<br />

conversational intelligence) to become<br />

applicable to trading within the next<br />

3-5 years.<br />

The broker community was quick to<br />

embrace AI, with most FX brokerages<br />

having integrated the technology<br />

into their platforms over the last few<br />

years to help trading clients who don’t<br />

have access to expensive tools such<br />

as Bloomberg/Refinitiv terminals to<br />

make more informed decisions. As<br />

well as delivering real time and market<br />

analysis, AI is also being used to enable<br />

copy trading.<br />

MT5 traders are able to use ONNX<br />

(open neural network exchange)<br />

models in their platforms, while<br />

FlexTrade Systems recently introduced<br />

AI-driven functionality in its multi-asset<br />

execution management system that<br />

traders can use to ask verbal or written<br />

questions such as ‘what is the value of<br />

my Swiss orders over 10% ADV?’<br />

OECD PAPER<br />

A paper published by the OECD<br />

in 2021 (Artificial Intelligence,<br />

Machine Learning and Big Data in<br />

Finance: Opportunities, Challenges<br />

and Implications for Policy Makers)<br />

outlined the opportunities and<br />

challenges presented by the use<br />

of these technologies in a trading<br />

environment.<br />

JULY 20<strong>23</strong> e-FOREX 65

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