FXCM’s has just launched a new tool for its clients, feeding some useful data to traders publicly. The tool is called Market Data Signals and is aimed at providing additional information that could facilitate trading decisions.
The brokerage has set up an account on Twitter called FXCM Market Data, where it is publishing the latest information from a set of proprietary tools. The feed of the tool is also available directly on the website of FXCM. Traders can not only view market positioning but also spot new trade opportunities.
[gptAdvertisement]
The signals are published in real time, using FXCM’s Speculative Sentiment Index (SSI) and Grid Sight Index (GSI). The proprietary tools use data from open positions at the brokerage 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.
The SSI derives signals from the trading book, while GSI recognizes patterns and trends that are historically relevant to the pairs that are analyzed.
#EURUSD: SSI of -3.51 shows 78% positions are short--contrarian signal for price gains. pic.twitter.com/xH6eSiKZlt
— FXCM Market Data (@FXCM_MarketData) June 28, 2017
The company is aiming to add the tool for traders that are keen to use new strategies to open and close positions.
When traders look at retail positioning, the indicator for one-sided positioning is usually a contrary one. The more retail traders bet on the rise of a certain asset, the bigger the likelihood is that the value of this asset will fall in the near future.
Granted, traders will need to be aware that using only sentiment indicator for their investment decisions will probably not be an adequate gauge of the situation, since often one signal is not sufficient to start a trend move. FXCM is merely providing one more variable which traders can use to make their decisions.
FXCM’s has just launched a new tool for its clients, feeding some useful data to traders publicly. The tool is called Market Data Signals and is aimed at providing additional information that could facilitate trading decisions.
The brokerage has set up an account on Twitter called FXCM Market Data, where it is publishing the latest information from a set of proprietary tools. The feed of the tool is also available directly on the website of FXCM. Traders can not only view market positioning but also spot new trade opportunities.
[gptAdvertisement]
The signals are published in real time, using FXCM’s Speculative Sentiment Index (SSI) and Grid Sight Index (GSI). The proprietary tools use data from open positions at the brokerage 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.
The SSI derives signals from the trading book, while GSI recognizes patterns and trends that are historically relevant to the pairs that are analyzed.
#EURUSD: SSI of -3.51 shows 78% positions are short--contrarian signal for price gains. pic.twitter.com/xH6eSiKZlt
— FXCM Market Data (@FXCM_MarketData) June 28, 2017
The company is aiming to add the tool for traders that are keen to use new strategies to open and close positions.
When traders look at retail positioning, the indicator for one-sided positioning is usually a contrary one. The more retail traders bet on the rise of a certain asset, the bigger the likelihood is that the value of this asset will fall in the near future.
Granted, traders will need to be aware that using only sentiment indicator for their investment decisions will probably not be an adequate gauge of the situation, since often one signal is not sufficient to start a trend move. FXCM is merely providing one more variable which traders can use to make their decisions.
