Tradefeedr launches solution to help firms choose most appropriate FX execution algos

Rick Steves

“The Algo Forecasting Suite allows clients to access accurate and independent data to better inform their algo execution strategies, and to analyse performance after the trade.”

Tradefeedr has launched a collection of pre- and post-trade tools for clients to analyse and select the most appropriate FX execution algos.

The “Algo Forecasting Suite” has been developed, refined and rigorously back-tested against the Tradefeedr’s global database in order to ascertain its accuracy: the mean Global Forecast of the dataset for 2022 differs from the actual result by only 0.06 basis points.

Accurate and independent data to better inform FX algo execution strategies

Tradefeedr has become one of the most popular independent FX trading databases in the industry, allowing the sell-side, buy-side, regional banks, hedge funds, brokers, and central banks to connect, analyze their trading data, and collaborate.

With the launch of the new service, the FX data analytics platform supports client decision-making in terms of whether to use an FX algo, expected algo behavior, and the most suitable algo given market conditions, risk appetite, time, or audit constraints.

Tradefeedr’s Algo Forecasting Suite also provides post-trade analytics compared to Tradefeedr forecasts, and the opportunity cost of not using alternative execution algos.

Tim Cartledge, Chief Data Officer at Tradefeedr, said: “The Algo Forecasting Suite allows clients to access accurate and independent data to better inform their algo execution strategies, and to analyse performance after the trade. At the heart of the new service, we have developed the Tradefeedr Cost Of Liquidity Score, where we have pioneered a method of collapsing volatility, liquidity provider pricing, currency pair and time of day down to a single number. This allows us to analyse algo performance across significantly different markets and conditions to ensure that comparisons are made on a like for like basis.”

The FX Algo Forecasting is available via API and Excel, which allows clients to create their own pre- and post-trade automation. Over the coming weeks it will be added to the Tradefeedr dashboard of services.

FX data analytics pioneer Tim Cartledge joined Tradefeedr last year as Chief Data Officer and investor. The company has also recently hired ex-Citi Alexis Fauth as Head of Data Science and Client Analytics and ex-UBS Christian Gressel to advise on products for data analytics.



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