Nasdaq Launches Analytics Hub for Buy-Side
- The analytics available are derived from core data in conjunction with three third-party alternative data providers
Global 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 effectiv 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 effectiv Read this Term operator Nasdaq has launched the 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 Hub, a new product that provides data and statistical expertise for clients ranging from hedge fund managers through to algorithmic traders, according to a company statement.
The London Summit 2017 is coming, get involved! [gptAdvertisement]
The new initiative, which is the second product to be launched from the Innovation Lab, aims to provide top-quality statistical and analytical expertise while continuing Nasdaq’s expansion into real-time and daily analytics that help market participants augment their strategies.
The Analytics Hub will offer a full range of analytic methodologies, including analysis of social media sentiment, central bank communications, retail sentiment, technical factors, as well as event based signals, as part of its service.
The analytics available in the Nasdaq Hub are derived from core data in conjunction with three third-party alternative data providers. This includes data sets from iSentium, Prattle, PredictWallStreet, and Nasdaq Dorsey Wright. Nasdaq intends to bring additional data sets to its platform, and promises that users will see a substantial increase by the end of the year.
Terry Wade, Head of Business Development and Product of Global Information Services at Nasdaq, commented: “The Nasdaq Analytics Hub reflects our partner-based approach of collaborating with key start-ups – like Lucena Research – to apply machine intelligence on proprietary and third party data sets to create new signals that investors may not have been able to access on their own. We’ve implemented a rigorous process whereby we use machine intelligence to normalize, validate and back-test the data to ensure the resulting outputs translate into multiple real-life investment use cases.”
Global 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 effectiv 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 effectiv Read this Term operator Nasdaq has launched the 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 Hub, a new product that provides data and statistical expertise for clients ranging from hedge fund managers through to algorithmic traders, according to a company statement.
The London Summit 2017 is coming, get involved! [gptAdvertisement]
The new initiative, which is the second product to be launched from the Innovation Lab, aims to provide top-quality statistical and analytical expertise while continuing Nasdaq’s expansion into real-time and daily analytics that help market participants augment their strategies.
The Analytics Hub will offer a full range of analytic methodologies, including analysis of social media sentiment, central bank communications, retail sentiment, technical factors, as well as event based signals, as part of its service.
The analytics available in the Nasdaq Hub are derived from core data in conjunction with three third-party alternative data providers. This includes data sets from iSentium, Prattle, PredictWallStreet, and Nasdaq Dorsey Wright. Nasdaq intends to bring additional data sets to its platform, and promises that users will see a substantial increase by the end of the year.
Terry Wade, Head of Business Development and Product of Global Information Services at Nasdaq, commented: “The Nasdaq Analytics Hub reflects our partner-based approach of collaborating with key start-ups – like Lucena Research – to apply machine intelligence on proprietary and third party data sets to create new signals that investors may not have been able to access on their own. We’ve implemented a rigorous process whereby we use machine intelligence to normalize, validate and back-test the data to ensure the resulting outputs translate into multiple real-life investment use cases.”