Tradefeedr Launches FX Algo Forecasting Suite

by Arnab Shome
  • It enables clients to analyze and select the most appropriate FX execution algos.
  • It also provides post-trade analytics.
FM
trading

Tradefeedr, which offers an FX data analytics platform, announced on Monday the launch of its Algo Forecasting Suite. It is a collection of pre and post-trade tools to enable clients to analyze and select the most appropriate FX execution algos.

Tradefeedr Announces New Algo Forecasting Suite

“The Algo Forecasting Suite allows clients to access accurate and independent data to better inform their algo execution strategies, and to analyze performance after the trade,” said the Chief Data Officer at Tradefeedr, Tim Cartledge, who joined the company last July. He also joined the board of the company after Alphaview Limited, the family office of Tim and Kate Cartledge, invested $1 million in Tradefeedr.

The Algo Forecasting Suite helps the client in the decision-making process: whether to use an FX algo, expected algo behavior, and the most suitable algo considering market conditions, risk appetite, time, or audit constraints.

Tradefeedr launched the service after back-testing against Tradefeedr’s global database. According to the company, the result followed 'industry-leading accuracy' and differed from the actual result of the mean Global Forecast of the dataset for 2022 by only 0.06 basis points.

“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 analyze algo performance across significantly different markets and conditions to ensure that comparisons are made on a like-for-like basis,” Cartledge explained.

The company is making the new Algo Forecasting Suite available and even Excel, allowing clients to create their pre and post-trade automation. Additionally, the suite provides post-trade analytics showcasing the opportunity cost of not using alternative execution algos.

Strengthening the Data-Oriented Offerings

Tradefeedr was established in 2017 and was co-founded by Balraj Bassi, who is heading the firm as the CEO, and Dr. Alexei Jiltsov since they established the company in 2017. It offers a network for sell-side, buy-side, regional banks, hedge funds, brokers, and central banks to analyze trading data. Its network includes 20 sell-side clients, 50 buy-side firms, and ten trading platforms.

Over the years, the company onboarded several industry experts. Last September, it hired Alexis Fauth, a trained data expert, as the Head of Data Science and Client Analytics. He joined the company only a couple of months after the appointment of Cartledge, showing the company’s ambitions to strengthen its data-oriented offerings.

Tradefeedr, which offers an FX data analytics platform, announced on Monday the launch of its Algo Forecasting Suite. It is a collection of pre and post-trade tools to enable clients to analyze and select the most appropriate FX execution algos.

Tradefeedr Announces New Algo Forecasting Suite

“The Algo Forecasting Suite allows clients to access accurate and independent data to better inform their algo execution strategies, and to analyze performance after the trade,” said the Chief Data Officer at Tradefeedr, Tim Cartledge, who joined the company last July. He also joined the board of the company after Alphaview Limited, the family office of Tim and Kate Cartledge, invested $1 million in Tradefeedr.

The Algo Forecasting Suite helps the client in the decision-making process: whether to use an FX algo, expected algo behavior, and the most suitable algo considering market conditions, risk appetite, time, or audit constraints.

Tradefeedr launched the service after back-testing against Tradefeedr’s global database. According to the company, the result followed 'industry-leading accuracy' and differed from the actual result of the mean Global Forecast of the dataset for 2022 by only 0.06 basis points.

“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 analyze algo performance across significantly different markets and conditions to ensure that comparisons are made on a like-for-like basis,” Cartledge explained.

The company is making the new Algo Forecasting Suite available and even Excel, allowing clients to create their pre and post-trade automation. Additionally, the suite provides post-trade analytics showcasing the opportunity cost of not using alternative execution algos.

Strengthening the Data-Oriented Offerings

Tradefeedr was established in 2017 and was co-founded by Balraj Bassi, who is heading the firm as the CEO, and Dr. Alexei Jiltsov since they established the company in 2017. It offers a network for sell-side, buy-side, regional banks, hedge funds, brokers, and central banks to analyze trading data. Its network includes 20 sell-side clients, 50 buy-side firms, and ten trading platforms.

Over the years, the company onboarded several industry experts. Last September, it hired Alexis Fauth, a trained data expert, as the Head of Data Science and Client Analytics. He joined the company only a couple of months after the appointment of Cartledge, showing the company’s ambitions to strengthen its data-oriented offerings.

About the Author: Arnab Shome
Arnab Shome
  • 6306 Articles
  • 80 Followers
About the Author: Arnab Shome
Arnab is an electronics engineer-turned-financial editor. He entered the industry covering the cryptocurrency market for Finance Magnates and later expanded his reach to forex as well. He is passionate about the changing regulatory landscape on financial markets and keenly follows the disruptions in the industry with new-age technologies.
  • 6306 Articles
  • 80 Followers

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