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    Global Banking & Finance Review® is a leading financial portal and online magazine offering News, Analysis, Opinion, Reviews, Interviews & Videos from the world of Banking, Finance, Business, Trading, Technology, Investing, Brokerage, Foreign Exchange, Tax & Legal, Islamic Finance, Asset & Wealth Management.
    Copyright © 2010-2025 GBAF Publications Ltd - All Rights Reserved.

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    Editorial & Advertiser disclosure

    Global Banking and Finance Review is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

    Top Stories

    CMC Markets Strengthens Trading Analytics Capabilities

    CMC Markets Strengthens Trading Analytics Capabilities

    Published by Gbaf News

    Posted on June 28, 2018

    Featured image for article about Top Stories

    CMC Markets partners with Tradefeedr to deploy machine learning for trading analytics

    London, UK: CMC Markets, a leader in online trading has partnered with Tradefeedr, a data science platform built for financial markets, to deploy cloud based machine learning to improve trading analytics and intelligence around liquidity management. The additional capabilities provide for:

    • Data integration: the ingestion, cleansing and store of massive amounts of market and transactional data.
    • Data exploration: high performance computing infrastructure for inspecting, intersecting and querying massive data sets. Data visualisation tools and APIs for extracting the results of analysis for further analysis.
    • Machine learning: powerful analytical tools for data driven decision making. Transparent models, pre-built frameworks and feature engineering to solve complex problems.

    “We work with our clients to solve complex problems and derive competitive advantages from understanding and using their data” says Balraj Bassi, co-founder at Tradefeedr.

    “Applying machine learning to trading analytics gives us the insights we need to improve our liquidity and better manage our liquidity provider relationships” say Greg Niebank, Group Head of Product at CMC Markets. “Partnering with Tradefeedr allows us to bring these capabilities to bear effectively”.

    CMC Markets partners with Tradefeedr to deploy machine learning for trading analytics

    London, UK: CMC Markets, a leader in online trading has partnered with Tradefeedr, a data science platform built for financial markets, to deploy cloud based machine learning to improve trading analytics and intelligence around liquidity management. The additional capabilities provide for:

    • Data integration: the ingestion, cleansing and store of massive amounts of market and transactional data.
    • Data exploration: high performance computing infrastructure for inspecting, intersecting and querying massive data sets. Data visualisation tools and APIs for extracting the results of analysis for further analysis.
    • Machine learning: powerful analytical tools for data driven decision making. Transparent models, pre-built frameworks and feature engineering to solve complex problems.

    “We work with our clients to solve complex problems and derive competitive advantages from understanding and using their data” says Balraj Bassi, co-founder at Tradefeedr.

    “Applying machine learning to trading analytics gives us the insights we need to improve our liquidity and better manage our liquidity provider relationships” say Greg Niebank, Group Head of Product at CMC Markets. “Partnering with Tradefeedr allows us to bring these capabilities to bear effectively”.

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