Societe Generale Luxembourg Selects Execution Analytics of big xyt
- The French bank will be able to provide trading performance analytics to its clients.

big xyt announced this Tuesday that the Luxembourg operations of Societe Generale, a multi-specialist bank, has implemented its Execution 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. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. 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. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term in order to provide trading performance analytics to the bank’s clients.
big xyt is an independent provider of market data analytics. The company normalises sources of data and delivers it to its clients via web-based user interfaces or APIs.
The data analytics company’s platform, transforming TCA with data science, provides the French bank with the latest innovation in smart data analytics, the company said. The ultimate aim of the platform is to target reduced transaction costs.

Mark Montgomery, Head of Strategy and Business Development at big xyt
Source: LinkedIn
Commenting on the announcement, Mark Montgomery, Head of Strategy and Business Development at big xyt said in the statement: “We are delighted to be adding Societe Generale Luxembourg to our portfolio of buy-side clients who have the seen the value in our flexible and independent offering.
“This initiative enables both firms to collaborate on the integration of new methodologies, creating a better understanding of the complexity of Societe Generale Luxembourg’s interactions in a constantly evolving landscape.”
big xyt has clients across exchanges, market makers, sell and buy-side firms using its analytics products. Under the agreement, by leveraging big xyt’s consolidated view of the marketplace, Societe Generale Luxembourg can measure and benchmark their executions.
big xyt partners with Aquis Exchange
Earlier this year in April, a similar partnership was announced between big xyt and pan-European equities exchange Aquis Exchange. As Finance Magnates reported, the exchange implemented Liquidity Cockpit to support market structure analytics used internally by the exchange and for their clients.
By applying data science and advanced techniques to execution analytics, Liquidity Cockpit delivers a unique range of market overviews and individualised comparison reports to the team at Aquis Exchange.
big xyt announced this Tuesday that the Luxembourg operations of Societe Generale, a multi-specialist bank, has implemented its Execution 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. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. 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. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term in order to provide trading performance analytics to the bank’s clients.
big xyt is an independent provider of market data analytics. The company normalises sources of data and delivers it to its clients via web-based user interfaces or APIs.
The data analytics company’s platform, transforming TCA with data science, provides the French bank with the latest innovation in smart data analytics, the company said. The ultimate aim of the platform is to target reduced transaction costs.

Mark Montgomery, Head of Strategy and Business Development at big xyt
Source: LinkedIn
Commenting on the announcement, Mark Montgomery, Head of Strategy and Business Development at big xyt said in the statement: “We are delighted to be adding Societe Generale Luxembourg to our portfolio of buy-side clients who have the seen the value in our flexible and independent offering.
“This initiative enables both firms to collaborate on the integration of new methodologies, creating a better understanding of the complexity of Societe Generale Luxembourg’s interactions in a constantly evolving landscape.”
big xyt has clients across exchanges, market makers, sell and buy-side firms using its analytics products. Under the agreement, by leveraging big xyt’s consolidated view of the marketplace, Societe Generale Luxembourg can measure and benchmark their executions.
big xyt partners with Aquis Exchange
Earlier this year in April, a similar partnership was announced between big xyt and pan-European equities exchange Aquis Exchange. As Finance Magnates reported, the exchange implemented Liquidity Cockpit to support market structure analytics used internally by the exchange and for their clients.
By applying data science and advanced techniques to execution analytics, Liquidity Cockpit delivers a unique range of market overviews and individualised comparison reports to the team at Aquis Exchange.