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AI in Financial Markets: Beyond the Market-Predicting Magic Box

Before you read a single word of this ebook, let’s get one thing out of the way: there’s no such thing as a market-predicting, magic AI box. After all, if there were, we’d be called DataRobot Capital Partners, be running a hedge fund, driving expensive cars to our beachside villas, and not selling our world-leading enterprise machine learning platform. That said, there is definite value to be had from machine learning (especially the automated variety) in the financial markets.

In this ebook, we explore the reasons why these technologies are rapidly becoming a must-have for an increasing number of quantitative finance professionals in their daily work. We explore how to harness the power of automated machine learning to build, test, interpret, and deploy AI models in a wide variety of front office applications on both the sell-side and the buy-side.

Download this ebook to learn:

  • Why machine learning techniques are different from, and a useful adjunct to, the traditional quantitative and ‘quantamental’ investing toolbox
  • What advanced users in front office securities industry roles can do with the significant increase in productivity and effectiveness that comes from automating machine learning
  • The essential best practices when using machine learning in financial markets and how automated machine learning helps quantitative professionals achieve them
  • A selection of high-value use cases for machine learning across a wide range of securities industry activities
  • I find DataRobot to be a great tool for accelerating the application of data science, and we should think about harnessing data science to improve our work. That leaves the organization to focus your resources on where you add value.
    Tommy Tan
    Tommy Tan

    CEO, TC Capital