CMC Markets to Launch Machine Learning Trading Analytics
- The partnership with tradefeedr should enable CMC to improve its liquidity management
CMC Markets announced this Wednesday that it is going to start using machine learning for trading 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. The online trading firm will be partnering with Tradefeedr, a data analytics firm, to start its big-data analytics efforts.
CMC Markets will be using Tradefeedr’s cloud-based solution to improve its data analytics capabilities. Specifically, the firm aims to improve its Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term management and gain greater insights from large-scale trading data analysis.
Tradefeedr’s solution should enable CMC Markets to do this via a number of routes. Firstly, the firm allows users of its products to take in and store vast quantities of data. The firm also ‘cleanses’ this data to ensure that it is actually relevant to the goals of the company that has hired them.
Machine learning analytics
As is to be expected, the firm also allows users to segment the data they have stored. For instance, firms can extract specific results from the data they have gathered and, in turn, analyze it to gain whatever specific insights they require.
Finally, the firm states that it will be using machine learning to “solve complex problems.” How this differs substantially from the other two above points is unclear.
Commenting on his firm’s adoption of Tradefeedr’s technology, Greg Niebank, Group Head of Product at CMC Markets, said: “Applying machine learning to trading analytics gives us the insights we need to improve our liquidity and better manage our liquidity provider relationships. Partnering with Tradefeedr allows us to bring these capabilities to bear effectively”.
CMC Markets announced this Wednesday that it is going to start using machine learning for trading 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. The online trading firm will be partnering with Tradefeedr, a data analytics firm, to start its big-data analytics efforts.
CMC Markets will be using Tradefeedr’s cloud-based solution to improve its data analytics capabilities. Specifically, the firm aims to improve its Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term management and gain greater insights from large-scale trading data analysis.
Tradefeedr’s solution should enable CMC Markets to do this via a number of routes. Firstly, the firm allows users of its products to take in and store vast quantities of data. The firm also ‘cleanses’ this data to ensure that it is actually relevant to the goals of the company that has hired them.
Machine learning analytics
As is to be expected, the firm also allows users to segment the data they have stored. For instance, firms can extract specific results from the data they have gathered and, in turn, analyze it to gain whatever specific insights they require.
Finally, the firm states that it will be using machine learning to “solve complex problems.” How this differs substantially from the other two above points is unclear.
Commenting on his firm’s adoption of Tradefeedr’s technology, Greg Niebank, Group Head of Product at CMC Markets, said: “Applying machine learning to trading analytics gives us the insights we need to improve our liquidity and better manage our liquidity provider relationships. Partnering with Tradefeedr allows us to bring these capabilities to bear effectively”.