Burton-Taylor Adds Andy Nybo as Director of its Exchange Vertical
- Andy Nybo joins Burton-Taylor in a new senior role, part of the group's expansion that will kick off in H1 2017.

Burton-Taylor International Consulting, a unit of TP ICAP’s 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. 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 group, has on-boarded Andy Nybo as the Director of its Exchange Exchange An exchange is known as a marketplace that supports the trading of derivatives, commodities, securities, and other financial instruments.Generally, an exchange is accessible through a digital platform or sometimes at a tangible address where investors organize to perform trading. Among the chief responsibilities of an exchange would be to uphold honest and fair-trading practices. These are instrumental in making sure that the distribution of supported security rates on that exchange are effectively relevant with real-time pricing.Depending upon where you reside, an exchange may be referred to as a bourse or a share exchange while, as a whole, exchanges are present within the majority of countries. Who is Listed on an Exchange?As trading continues to transition more to electronic exchanges, transactions become more dispersed through varying exchanges. This in turn has caused a surge in the implementation of trading algorithms and high-frequency trading applications. In order for a company to be listed on a stock exchange for example, a company must divulge information such as minimum capital requirements, audited earnings reports, and financial reports.Not all exchanges are created equally, with some outperforming other exchanges significantly. The most high-profile exchanges to date include the New York Stock Exchange (NYSE), the Tokyo Stock Exchange (TSE), the London Stock Exchange (LSE), and the Nasdaq. Outside of trading, a stock exchange may be used by companies aiming to raise capital, this is most commonly seen in the form of initial public offerings (IPOs).Exchanges can now handle other asset classes, given the rise of cryptocurrencies as a more popularized form of trading. An exchange is known as a marketplace that supports the trading of derivatives, commodities, securities, and other financial instruments.Generally, an exchange is accessible through a digital platform or sometimes at a tangible address where investors organize to perform trading. Among the chief responsibilities of an exchange would be to uphold honest and fair-trading practices. These are instrumental in making sure that the distribution of supported security rates on that exchange are effectively relevant with real-time pricing.Depending upon where you reside, an exchange may be referred to as a bourse or a share exchange while, as a whole, exchanges are present within the majority of countries. Who is Listed on an Exchange?As trading continues to transition more to electronic exchanges, transactions become more dispersed through varying exchanges. This in turn has caused a surge in the implementation of trading algorithms and high-frequency trading applications. In order for a company to be listed on a stock exchange for example, a company must divulge information such as minimum capital requirements, audited earnings reports, and financial reports.Not all exchanges are created equally, with some outperforming other exchanges significantly. The most high-profile exchanges to date include the New York Stock Exchange (NYSE), the Tokyo Stock Exchange (TSE), the London Stock Exchange (LSE), and the Nasdaq. Outside of trading, a stock exchange may be used by companies aiming to raise capital, this is most commonly seen in the form of initial public offerings (IPOs).Exchanges can now handle other asset classes, given the rise of cryptocurrencies as a more popularized form of trading. Read this Term Vertical research practice, according to a group statement.
The Exchange Vertical unit covers a wide range of functions including Burton-Taylor’s exchange and transaction venue research. As its Director, Mr. Nybo will be heading the unit, helping grow Burton-Taylor’s scope of analysis, including its exchange share, demand segmentation and research demographics.
He steps into his new role immediately and will be working out of Charleston, South Carolina, reporting directly to Douglas B. Taylor. The appointment also marks the first of multiple new hires that are slated to take place in H1 2017.
Veteran Hire
Mr. Nybo lands at Burton-Taylor International Consulting from TABB Group, where he worked for over a decade. While at the group he held several senior roles, including positions as its Managing Director, Partner, and Global Head of Research and Consulting, dating back to 2006.
All told he has over three decades of experience in marketing and research in the global capital markets space. Prior to his time at TABB Group, Mr. Nybo worked at MarketAxess as its Head of Marketing and Communications, as well as Tower Group, the Bond Market Association, and SIFMA.

Andy Nybo
According to Douglas Taylor, founder and Managing Director of Burton-Taylor, in a statement on the hire: “Andy has an outstanding reputation in the industry and is deeply respected for his integrity and intelligence. His rich history of working in transaction orientated businesses and the exchange environment means we are now equipped to deliver a more informed and granular level of insight that will position our clients to make much better-informed investment decisions.”
“Exchanges continue to heavily invest in their market data businesses and are increasingly competing directly with incumbent market data providers. The exchange vertical will be critical for Burton-Taylor as it further expands its coverage across the market data industry and I look forward to contributing to this growth,” reiterated Mr. Nybo.
Burton-Taylor International Consulting, a unit of TP ICAP’s 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. 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 group, has on-boarded Andy Nybo as the Director of its Exchange Exchange An exchange is known as a marketplace that supports the trading of derivatives, commodities, securities, and other financial instruments.Generally, an exchange is accessible through a digital platform or sometimes at a tangible address where investors organize to perform trading. Among the chief responsibilities of an exchange would be to uphold honest and fair-trading practices. These are instrumental in making sure that the distribution of supported security rates on that exchange are effectively relevant with real-time pricing.Depending upon where you reside, an exchange may be referred to as a bourse or a share exchange while, as a whole, exchanges are present within the majority of countries. Who is Listed on an Exchange?As trading continues to transition more to electronic exchanges, transactions become more dispersed through varying exchanges. This in turn has caused a surge in the implementation of trading algorithms and high-frequency trading applications. In order for a company to be listed on a stock exchange for example, a company must divulge information such as minimum capital requirements, audited earnings reports, and financial reports.Not all exchanges are created equally, with some outperforming other exchanges significantly. The most high-profile exchanges to date include the New York Stock Exchange (NYSE), the Tokyo Stock Exchange (TSE), the London Stock Exchange (LSE), and the Nasdaq. Outside of trading, a stock exchange may be used by companies aiming to raise capital, this is most commonly seen in the form of initial public offerings (IPOs).Exchanges can now handle other asset classes, given the rise of cryptocurrencies as a more popularized form of trading. An exchange is known as a marketplace that supports the trading of derivatives, commodities, securities, and other financial instruments.Generally, an exchange is accessible through a digital platform or sometimes at a tangible address where investors organize to perform trading. Among the chief responsibilities of an exchange would be to uphold honest and fair-trading practices. These are instrumental in making sure that the distribution of supported security rates on that exchange are effectively relevant with real-time pricing.Depending upon where you reside, an exchange may be referred to as a bourse or a share exchange while, as a whole, exchanges are present within the majority of countries. Who is Listed on an Exchange?As trading continues to transition more to electronic exchanges, transactions become more dispersed through varying exchanges. This in turn has caused a surge in the implementation of trading algorithms and high-frequency trading applications. In order for a company to be listed on a stock exchange for example, a company must divulge information such as minimum capital requirements, audited earnings reports, and financial reports.Not all exchanges are created equally, with some outperforming other exchanges significantly. The most high-profile exchanges to date include the New York Stock Exchange (NYSE), the Tokyo Stock Exchange (TSE), the London Stock Exchange (LSE), and the Nasdaq. Outside of trading, a stock exchange may be used by companies aiming to raise capital, this is most commonly seen in the form of initial public offerings (IPOs).Exchanges can now handle other asset classes, given the rise of cryptocurrencies as a more popularized form of trading. Read this Term Vertical research practice, according to a group statement.
The Exchange Vertical unit covers a wide range of functions including Burton-Taylor’s exchange and transaction venue research. As its Director, Mr. Nybo will be heading the unit, helping grow Burton-Taylor’s scope of analysis, including its exchange share, demand segmentation and research demographics.
He steps into his new role immediately and will be working out of Charleston, South Carolina, reporting directly to Douglas B. Taylor. The appointment also marks the first of multiple new hires that are slated to take place in H1 2017.
Veteran Hire
Mr. Nybo lands at Burton-Taylor International Consulting from TABB Group, where he worked for over a decade. While at the group he held several senior roles, including positions as its Managing Director, Partner, and Global Head of Research and Consulting, dating back to 2006.
All told he has over three decades of experience in marketing and research in the global capital markets space. Prior to his time at TABB Group, Mr. Nybo worked at MarketAxess as its Head of Marketing and Communications, as well as Tower Group, the Bond Market Association, and SIFMA.

Andy Nybo
According to Douglas Taylor, founder and Managing Director of Burton-Taylor, in a statement on the hire: “Andy has an outstanding reputation in the industry and is deeply respected for his integrity and intelligence. His rich history of working in transaction orientated businesses and the exchange environment means we are now equipped to deliver a more informed and granular level of insight that will position our clients to make much better-informed investment decisions.”
“Exchanges continue to heavily invest in their market data businesses and are increasingly competing directly with incumbent market data providers. The exchange vertical will be critical for Burton-Taylor as it further expands its coverage across the market data industry and I look forward to contributing to this growth,” reiterated Mr. Nybo.