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 Volatility In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad Read this Term, liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term 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.