Tradefeedr Launches FX Data Platform with Dozens of Participants
- The company is determined to expand its network further.
London-based Tradefeedr announced on Tuesday that it has launched an FX data and Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term platform with a wide network of both buy-side and sell-side firms.
The press release shared with Finance Magnates detailed that the fintech has onboarded more than 15 sell-side and more than 20 buy-side market participants. Earlier, the Tradefeedr revealed that some of the participants on its network are Goldman Sachs, UBS, XTX Markets and Insight Asset Management, stressing that all of them are global leading institutions.
Additionally, the company is in talks with 20 other market participants who are willing to join the FX network.
Commenting on the prospect, Tradefeedr Chairman, Seth Johnson said: “We are delighted by the overwhelmingly positive response from major FX participants who have now joined the Tradefeedr community. This demonstrates that there is a real need in foreign exchange to trade using correct and standardized data, allowing faster and more accurate flows.”
Growing Demand for Data
Founded in 2018, the platform enables clients to improve trade execution by analyzing their FX trading data from participating 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 providers and ECNs via a standardized API. It was founded by Balraj Bassi and Alexei Jiltsov and received a $3 million investment at the end of 2020 from the privately-owned holding company, IPGL.
“Since our inception, Tradefeedr’s vision has been to deliver superior data transfer across the global FX trading community,” Bassi said. “We are excited to now roll out the platform amongst our leading liquidity providers and consumers who will be able to submit and receive their trading data amongst each other and with ECNs & trading venues over a single API.”
Jiltsov added: “FX trading data and analytics are currently siloed between venues and the sell and buy-side. Users rely upon incomplete, inaccurate data, and before Tradefeedr, there has not been any method to work together with trading flows based on a common set of data. The significant adoption we have witnessed is a testament to the support for our vision and business model focused on transforming the FX marketplace for the benefit of all participants.”
London-based Tradefeedr announced on Tuesday that it has launched an FX data and Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term platform with a wide network of both buy-side and sell-side firms.
The press release shared with Finance Magnates detailed that the fintech has onboarded more than 15 sell-side and more than 20 buy-side market participants. Earlier, the Tradefeedr revealed that some of the participants on its network are Goldman Sachs, UBS, XTX Markets and Insight Asset Management, stressing that all of them are global leading institutions.
Additionally, the company is in talks with 20 other market participants who are willing to join the FX network.
Commenting on the prospect, Tradefeedr Chairman, Seth Johnson said: “We are delighted by the overwhelmingly positive response from major FX participants who have now joined the Tradefeedr community. This demonstrates that there is a real need in foreign exchange to trade using correct and standardized data, allowing faster and more accurate flows.”
Growing Demand for Data
Founded in 2018, the platform enables clients to improve trade execution by analyzing their FX trading data from participating 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 providers and ECNs via a standardized API. It was founded by Balraj Bassi and Alexei Jiltsov and received a $3 million investment at the end of 2020 from the privately-owned holding company, IPGL.
“Since our inception, Tradefeedr’s vision has been to deliver superior data transfer across the global FX trading community,” Bassi said. “We are excited to now roll out the platform amongst our leading liquidity providers and consumers who will be able to submit and receive their trading data amongst each other and with ECNs & trading venues over a single API.”
Jiltsov added: “FX trading data and analytics are currently siloed between venues and the sell and buy-side. Users rely upon incomplete, inaccurate data, and before Tradefeedr, there has not been any method to work together with trading flows based on a common set of data. The significant adoption we have witnessed is a testament to the support for our vision and business model focused on transforming the FX marketplace for the benefit of all participants.”