CMC Markets announced this Wednesday that it is going to start using machine learning for trading Analytics . 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 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 . 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 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”.