The ReThink Group Integrates Chasing Returns' Behavioral Technology Suite
- The deal will combine efforts by both groups, focusing on trading challenges and other behavioral features.
The London Summit 2017 is coming, get involved!
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The amalgamation of psychological metrics and trading behaviors is one of the more hotly explored segments currently being invested in. The industry for sentiment-based trading, analytics, and Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term represents the next step forward for market participants and venues looking to gain an edge. Subsequently, Chasing Returns’ data science and neuroscience services suite has tapped into this demand, culminating in a new agreement with The ReThink Group.
Harnessing emotions
The new partnership will focus on multiple elements, first seeing the assimilation of Chasing Returns’ technology into its coaching business. By extension, both groups will be pooling their resources to focus on more trading-centric issues, including an emphasis on trader psychology. This includes personal crises in one’s confidence, poor habits, decision-making, and other means.
Chasing Returns believes that the combination of data science and neuroscience is a game-changer for professional traders. Both groups feel that this segment constitutes an instrumental area of focus, as it seeks to harness traders’ emotions as data with the hopes of developing new edges. Chasing Returns presently utilizes a wide range of statistical analysis in trading data, whilst also analyzing performance habits.
In its inaugural partnership, The ReThink Group will be leaning on its own area of expertise, which currently focuses on coaching, recruitment, and talent management services for businesses.
Ann Hunt, Chasing Returns CEO, commented on the partnership: "What you can measure, you can manage. About 60% of success is down to a trader’s personal psychology. Knowing how you behave under certain circumstances brings a new, bespoke edge to a trader. We see more authoritative behavior and increased conviction in professional decision-making.”
“Every hedge fund allocator should be interested in how a manager handles negative as well as positive emotions. What Chasing Returns has achieved is a riveting visualization to evaluate traders’ patterns of psychological strengths and weaknesses before committing funds,” explained EVP and Managing Director of The ReThink Group Bill Long.
The London Summit 2017 is coming, get involved!
[gptAdvertisement]
The amalgamation of psychological metrics and trading behaviors is one of the more hotly explored segments currently being invested in. The industry for sentiment-based trading, analytics, and Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s. What Big Data Can Do for YouBig data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous. The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties. Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes. For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.Big data is used in a wide range of industries, sectors, or applications. This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others. Read this Term represents the next step forward for market participants and venues looking to gain an edge. Subsequently, Chasing Returns’ data science and neuroscience services suite has tapped into this demand, culminating in a new agreement with The ReThink Group.
Harnessing emotions
The new partnership will focus on multiple elements, first seeing the assimilation of Chasing Returns’ technology into its coaching business. By extension, both groups will be pooling their resources to focus on more trading-centric issues, including an emphasis on trader psychology. This includes personal crises in one’s confidence, poor habits, decision-making, and other means.
Chasing Returns believes that the combination of data science and neuroscience is a game-changer for professional traders. Both groups feel that this segment constitutes an instrumental area of focus, as it seeks to harness traders’ emotions as data with the hopes of developing new edges. Chasing Returns presently utilizes a wide range of statistical analysis in trading data, whilst also analyzing performance habits.
In its inaugural partnership, The ReThink Group will be leaning on its own area of expertise, which currently focuses on coaching, recruitment, and talent management services for businesses.
Ann Hunt, Chasing Returns CEO, commented on the partnership: "What you can measure, you can manage. About 60% of success is down to a trader’s personal psychology. Knowing how you behave under certain circumstances brings a new, bespoke edge to a trader. We see more authoritative behavior and increased conviction in professional decision-making.”
“Every hedge fund allocator should be interested in how a manager handles negative as well as positive emotions. What Chasing Returns has achieved is a riveting visualization to evaluate traders’ patterns of psychological strengths and weaknesses before committing funds,” explained EVP and Managing Director of The ReThink Group Bill Long.