CMXtra: The Trading Podcast cover art

CMXtra: The Trading Podcast

By: The Hive Network
  • Summary

  • Ahead of the inaugural CMX 2024 event, The Finance Hive have created this bespoke podcast series featuring conversation and deep dives into the topics that matter to traders like you.
    The Hive Network
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Episodes
  • 2: T+1- Are you ready?
    May 10 2024
    Today we take a deep dive into the transformative journey towards T+1 settlement, a milestone set by regulatory bodies to foster greater operational efficiency and compliance in the trading sphere. This episode brings together visionary leaders from Baillie Gifford, Invesco, and Evenlode Asset Management, as well as insights from ICMA, to illuminate the path through the complexities of this transition.

    From operational risks to the nuances of FX transactions and liquidity, our guests discuss not just the challenges but the vast opportunities—streamlining processes, embracing cutting-edge technology, and the power of collective action. As we approach the critical May 28 deadline, we delve into how firms are gearing up, the broader impact on the financial markets, and the prospects of moving towards even more efficient settlement cycles like T0.

    Join us for an inspiring look at how adapting to these changes paves the way for competitive edges, cost savings, and a more resilient market.
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    44 mins
  • 1: The AI Anxiety vs The AI Opportunity
    Apr 24 2024
    Welcome to the first episode of CMXtra- The Capital Markets Exchange Podcast. Our first episode looks into AI and the trading desk. Is this finally moving from buzzword to a reality for traders? And if so, where should you start, how should you apply it, and what outcomes should you be looking for?

    Join our special guests:
    • David McClelland - Technology reporter and presenter, BBC presenter and transformation lead in financial services, media and telecoms
    • Andrew Claeys - Head of Systematic Trading, Allspring Global Investments
    • Iro Tasitsiomi - Head of Investments Data Science at T. Rowe Price
    • David Foster - Co-Founder at Applied Data Science Partners and Author of "Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play"
    Naturally, as the episode is about AI, we have let AI have a listen to our episode to do the hard work for us and write the episode synopsis:

    In this episode, the hosts discuss the application of artificial intelligence (AI) in the trading desk and its potential to make trading more efficient. They explore the concept of generative AI and its ability to enrich, condense, and transform information. The guests highlight the importance of summarization and the challenges of ensuring accurate and complete summaries with generative AI. They also discuss the maturity of AI technology and the barriers to its implementation, as well as the regulatory challenges in using AI in regulated industries. The conversation explores the implementation of AI in the financial industry, specifically in buy-side trading desks. The guests discuss the need for experienced traders to analyze and build AI systems, the importance of customization and differentiation in the market, and the potential value propositions of incorporating AI into trading strategies. They also address the challenges of regulation and the impact of AI on the workforce. The conversation concludes with advice for traders looking to implement AI, including starting with small projects and focusing on the low-hanging fruit.
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    42 mins

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