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e-Forex-Nov-23

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Next generation FX analytics: Bringing transparency and more to the FX execution process<br />

TRADING OPERATIONS<br />

“It is important to differentiate between independent<br />

analysis and independent data”<br />

Guy Hopkins<br />

James Knoop, FX Back Office Solution<br />

Specialist at ION, believes independent<br />

data is critical for banks. “Banks<br />

having their own independent data<br />

is critical so that they have leverage<br />

when interacting with their LPs,” he<br />

says. “Being able to highlight areas<br />

where LPs are struggling against<br />

their peers or being deliberately toxic<br />

with their flow can lead to a closer<br />

collaboration between Bank and LP.<br />

This in turn improves their execution<br />

and profitability.” He cites a situation<br />

as an example. “Toxic flow from clients<br />

or toxic actions for LPs such as long<br />

last look times or quote spamming<br />

can impact the bank’s trade execution<br />

outcomes. Having access to data to<br />

identify these scenarios enables bank’s<br />

to make informed decisions about how<br />

to price clients and interact with their<br />

LPs.”<br />

Lambert stresses the importance of the<br />

unbiased standard or ruler to ensure<br />

the data firms receive is independent<br />

and lacks biases. “If the ruler isn’t<br />

independent, then you cannot trust<br />

your results to be objective,” he says.<br />

“For example, if you are using data<br />

from inside your trading ecosystem<br />

when LPs are skewing their prices, as<br />

they often will to reflect their trading<br />

view, your ruler is changing, and<br />

you will embed bias. For unbiased<br />

measurement, you need to use an<br />

exchange rate that your activity isn’t<br />

affecting.”<br />

Phil Morris, CEO of Reactive Markets,<br />

is extremely familiar with these biases<br />

and the importance of ensuring high<br />

quality independent data. When asked<br />

about the effects of independent data<br />

on the kind of analysis liquidity takers<br />

can perform, he lists a scenario. “A<br />

liquidity taker may have access to vast<br />

amounts of market data from their LPs<br />

on a specific platform,” he says. “This<br />

allows them to analyse the relative<br />

pricing and execution quality between<br />

these participants. It does not answer<br />

questions about how their LP pricing<br />

may differ on other trading platforms,<br />

or how a new LP may be able to<br />

change the shape of their liquidity<br />

pool. Adding independent data can<br />

open up insights into how their LPs<br />

or platform providers are performing<br />

relative to the wider market.”<br />

“Similarly,” he continues, “an LP will<br />

only see its trades with a specific<br />

liquidity taker and will have no context<br />

about its relative performance or<br />

what improvements it needs to make<br />

to win more business. By accessing<br />

independent anonymised datasets,<br />

an LP can proactively optimise their<br />

pricing on a client-by-client basis<br />

resulting in better outcomes for both<br />

the client and the LP. At Reactive<br />

Markets, we offer complementary<br />

liquidity management and data<br />

services tools as a core part of our<br />

offering,” he says. “On client request,<br />

we capture and deliver their dataset<br />

to several specialist data and analytics<br />

companies where they can analyse this<br />

alongside their larger, independent<br />

datasets.”<br />

FX execution workflow resembles a conveyor belt where orders are moving through various stages<br />

Lambert explains how New Change FX<br />

assists its clients. “The NCFX mid-feed<br />

is designed to be the unbiased ruler<br />

because it is not part of a trading<br />

platform,” he says. “The possibilities<br />

for measurement expand enormously<br />

once you can triangulate your own<br />

available spread and midrate, your<br />

micro price, your available volume, and<br />

prevailing market conditions (volatility,<br />

update frequency, etc.) To measure<br />

your outcomes, you need the data<br />

from inside your system and measure<br />

them against the independent<br />

22 NOVEMBER 20<strong>23</strong> e-FOREX

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