Best trading technology for FX: smartTrade Technologies

As
sell-side
market
participants
more
readily
accept
the
integration
of
machine
learning
and
artificial
intelligence
(AI)
into
their
processes,
smartTrade
Technologies
unveils
advanced
services
and
modules
that
provide clients
with
powerful
tools
to
maximise
trading
efficiency

Building
on
the
significant
demand
in
recent
years
by
regional
and
superregional
banks
to
upgrade
their
processes
and
workflows,
smartTrade Technologies
has
developed
a
wide
array
of

AI
and
machine
learning
tools
that
blend
the
best
of
new
technology
with
human
expertise
to
significantly
enhance
the
efficiency
of
its clients.

In
the
past,
measuring
rejection
rates,
market
impact
or
profit-and-loss
reports
improved
the
trading
of
market
participants.
Now,
smartTrade’s
Analytics
and
Copilot
modules
give
clients
greater
control
over
how
they
manage,
and
even
anticipate,
their
customers’
and
liquidity
providers’
actions,
while
providing
deeper
insight
into
how
the
market
is
behaving
and
where
opportunities
may
lie.

These
technologies
are
already
deployed
in
the
market
and
are
proving
themselves
in
real-world
environments.
Banks
are
identifying
potential
opportunities
to
improve
relationships
with
clients
and
liquidity
providers,
discerning
and
mitigating
risks
–
such
as
customers
who
may
be
tempted
to
leave
–
or
simply
segmenting
end-users
into
specific
groups
for
targeted
sales
campaigns.

“Sell-side
clients
want
clear,
actionable
data
delivered
at
a
time
it
is
most
useful,”
says
John
Stead,
sales
enablement
and
marketing
director
at
smartTrade Technologies.
“For
example,
smartTrade’s

AI
and
machine
learning
tools
enable
banks
to
see
clearly
how
clients
are
grouped
in
ways
no
human
can
ascertain.
Once
segmented,
a
bank
can
offer
more
value
to
its
customers
in
terms
of
products,
service
and
advice,
which
can
even
lead
to
automated
reactions
to
certain
actionable
insights,
such
as
changes
in
patterns
of
trading
behaviour.”

smartTrade’s
Analytics
and
Copilot
modules
have
democratised
access
to
this
sophisticated
technology
so
customers
with
minimal
data
science
experience
can
leverage
their
tools
and
seamlessly
incorporate
them
into
trading
workflows.
Once
integrated,
modules
can
ping
bank
staff
with
actionable
alerts
on
the
platform,
either
via
on-screen
prompts
or
emails,
through
direct
input
into
the
client’s
code
hosted
in
smartTrade’s
AlgoBox.

Unveiled
in
2023,
smartTrade’s
smart
Copilot
module
further
enhances
the
capabilities
of
its
existing
offering
by
adding
a
powerful
generative

AI
tool
that
analyses
large
data-sets
and
integrates
an
expansive
array
of
analytics,
credit
and
trading
data
into
a
streamlined,
human-readable
format.

This
advanced
module
not
only
enhances
decision-making
capabilities
by
automating
processes
and
empowering
sales
teams
with
superior
client
management
tools,
but
it
also
uses
algorithms
to
highlight
unusual
positions,
reduce
human
errors
and streamline
trading
processes.

The
inclusion
of
natural
language
processing
facilitates
seamless
global
communication
and
straightforward
trade
requests,
enabling

FX
market
specialists
and
others
to
efficiently
manage

FX
risk
and
orders.

Moreover,
smart
Copilot
significantly
reduces
operational
risk
by
simplifying
the
ticket
entry
process,
thereby
providing
powerful
insights
while
ensuring
ease
of
use
and
accuracy
in
transactions.
In
summary,
smart
Copilot’s
innovative
features
transform
trading
efficiency
and
client
interaction
by
providing
strategic
insights
on
a
just-in-time
basis.

“Since
many
of
our
clients’
customers
aren’t
dedicated

FX
traders,
they
don’t
necessarily
understand
the
intricacies
of
a
trade
ticket
and
may
prefer
to
explain
their
trading
requests
in
a
more
natural
way,
akin
to
a
voice
conversation,”
points
out
Stead.
“It is
therefore
easier,
and
even
safer,
for
them
to
write
a
trade
request
in
smart
Copilot
than
potentially
making
an
error
on
the
platform,
or
getting
confused
and
giving
up
entirely,
costing
the
bank
business.”

A
related
feature
of
smart
Copilot
that
has
garnered
particular
interest
is
the
ability
to
perform
real-time
translation.
Customers
can
interact
in
their
preferred
language
with
a
salesperson
who
speaks
another
language,
and
smart
Copilot
instantaneously
translates
the
conversation
back
and
forth.
This
again
reduces
the
risk
of
misunderstandings
and
simplifies
client
support
worldwide.

Stead
emphasises
that
the
opportunities
with

AI
and
machine
learning
tools
are
vast,
with
their
potential
limited
only
by
the
level
of
innovation
clients
are
willing
to
pursue.
Clients
are
already
exploring
the
capabilities
of
advanced

AI
features,
demonstrating
a
clear
understanding
of
their
value.

“The
technology
enabling
clients
to
interact
with
analytics
through
natural
language,
powered
by
large
language
models,
has
now
reached
a
good
level
of
maturity,
and
the
benefits
of
such
technology
are
swift
and
transformative,
offering
significant
possibilities,”
Stead
says.
“This
may
present
strategic
considerations,
particularly
in
deciding
which

AI
model
to
use.
For
this
reason,
smartTrade
has
worked
with
several
leading
technology
partners,
including
OpenAI,
and
is
therefore
able
to
adapt
its
Copilot
implementation
as
required
by
client
needs.”

As
these
technologies
continue
to
evolve,
and
financial
institutions
gain
confidence
in
their
deployment,

AI
and
machine
learning
tools
are
set
to
further
enhance
tasks
such
as
market
trend
analysis,
trading
performance
evaluation
and
operational
efficiency
improvements,
all
of
which
support
more
informed,
data-driven
decision-making.
As
a
strategic
technology
partner,
smartTrade
is
committed
to
being
at
the
forefront
of
these
innovations
and
driving
forward
the
boundaries
of
future
technology.

smartTrade
Technologies
was
named

Best trading
technology
for

FX
at
the


FX Markets
e-FX
Awards
2024.