Nasdaq, Inc. (Nasdaq: NDAQ) announced on Tuesday that it had appointed three executives to the board of directors of the Nasdaq Stock Market LLC, Nasdaq PHLX LLC, Nasdaq BX, Inc., Nasdaq ISE, LLC, Nasdaq MRX, LLC, and Nasdaq GEMX, LLC.
According to the press release, the appointed people were Kathlyn Card Beckles, Chief Legal Officer and Corporate Secretary, Verisk 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, Inc.; Anne Marie Darling, Partner, Global Markets Division, Goldman Sachs; Elizabeth Wideman, SVP and Senior Deputy General Counsel, Comcast Corporation.
“We are excited to welcome Kathy, Anne Marie, and Liz to the U.S. 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 board. Their collective capital markets, governance, and regulatory expertise will make an immediate contribution as we continue our journey to deliver liquid, resilient, and transparent markets to advance our clients’ investment ideas into fruition,” Thomas A. Kloet, Chairman of Nasdaq’s U.S. Exchange Board, commented.
New Executive Vice President and Head of Investment Intelligence
Last month, Nasdaq announced the appointment of Oliver Albers as Executive Vice President and Head of Investment Intelligence, an industry veteran with more than two decades of experience.
In his new role, Albers will make several strategic decisions to drive the growth of the company, as he was at Nasdaq as the Senior Vice President and Global Head of Data for Investment Intelligence. Over the past 22 years, he has worked for Nasdaq. He held a variety of key positions and contributed significantly to Nasdaq’s growth.
“Oliver is an exceptional leader with profound industry expertise, strong client relationships and proven success in product development and market expansion. We have a deep bench of talent at Nasdaq and Oliver has been instrumental in the transformation of Investment Intelligence over the past 20 years. As a well-recognized leader in the development of next-generation data and analytics solutions, market structure and financial technology, Oliver is the right leader to lead the Investment Intelligence business and drive its next phase of growth,” Adena Friedman, the President and Chief Executive Officer at Nasdaq, highlighted at that time.
Nasdaq, Inc. (Nasdaq: NDAQ) announced on Tuesday that it had appointed three executives to the board of directors of the Nasdaq Stock Market LLC, Nasdaq PHLX LLC, Nasdaq BX, Inc., Nasdaq ISE, LLC, Nasdaq MRX, LLC, and Nasdaq GEMX, LLC.
According to the press release, the appointed people were Kathlyn Card Beckles, Chief Legal Officer and Corporate Secretary, Verisk 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, Inc.; Anne Marie Darling, Partner, Global Markets Division, Goldman Sachs; Elizabeth Wideman, SVP and Senior Deputy General Counsel, Comcast Corporation.
“We are excited to welcome Kathy, Anne Marie, and Liz to the U.S. 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 board. Their collective capital markets, governance, and regulatory expertise will make an immediate contribution as we continue our journey to deliver liquid, resilient, and transparent markets to advance our clients’ investment ideas into fruition,” Thomas A. Kloet, Chairman of Nasdaq’s U.S. Exchange Board, commented.
New Executive Vice President and Head of Investment Intelligence
Last month, Nasdaq announced the appointment of Oliver Albers as Executive Vice President and Head of Investment Intelligence, an industry veteran with more than two decades of experience.
In his new role, Albers will make several strategic decisions to drive the growth of the company, as he was at Nasdaq as the Senior Vice President and Global Head of Data for Investment Intelligence. Over the past 22 years, he has worked for Nasdaq. He held a variety of key positions and contributed significantly to Nasdaq’s growth.
“Oliver is an exceptional leader with profound industry expertise, strong client relationships and proven success in product development and market expansion. We have a deep bench of talent at Nasdaq and Oliver has been instrumental in the transformation of Investment Intelligence over the past 20 years. As a well-recognized leader in the development of next-generation data and analytics solutions, market structure and financial technology, Oliver is the right leader to lead the Investment Intelligence business and drive its next phase of growth,” Adena Friedman, the President and Chief Executive Officer at Nasdaq, highlighted at that time.
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