『David Anderson - Talking Market Data』のカバーアート

David Anderson - Talking Market Data

David Anderson - Talking Market Data

著者: David Anderson
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If you work in financial 'Market Data' be you Data Vendor; Exchange; Technology/Service Provider; and especially if you work in a customer firm - we will be discussing all the burning issues and educating on core elements.

© 2025 David Anderson - Talking Market Data
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  • Special Episode - Knowedge, Training and Certification
    2025/10/14

    I STRONGLY recommend listening at 1.5 or 1.8 or even 2.0 speed. I was filming without a script and hence spoke quite slowly. I will endeavour to get better (ie faster) at that.

    As previously announced, I am now publishing full episodes monthly on the first Tuesday of each calendar month. Full episodes continue the approach of David Anderson in discussion with guests from the wider market data industry.I will publish occasional ‘special’ episodes like this in between main episodes.

    This episode focus on how the industry can help its members to acquire more industry knowledge. And in the spirit of full disclosure, it’s a flagrant sales pitch by David Anderson for my TRAINING SERVICES. This podcast currently makes no money, so training is a useful top to my pensions as I am in this semi-retirement phase of my life after 41 years working in market data.

    If you yourself and your firm are interested in my training, please get in touch on david.anderson@atradia.com or please help me spread the word. As mentioned in the recording I am teaching to the FISD FIA syllabus and exam but I am also very open to discussing ‘bespoke’ training tailored to more specific needs.

    DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

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    28 分
  • Kevin Gower Episode 42
    2025/10/07

    (11) Kevin Gower https://www.linkedin.com/in/kevingower/| LinkedIn

    summary
    In this conversation, David Anderson interviews Kevin Gower, exploring his extensive background in market data, the evolution of data management systems, and the future of market data engineering. They discuss the importance of understanding data management, the role of DAX, and the challenges of legacy systems. Kevin emphasizes the need for market data engineers to adapt to new technologies and the opportunities that arise from the changing landscape of market data.

    takeaways

    • Kevin Gower has a diverse background in market data, spanning multiple countries and roles.
    • Occasional Digest started as a solution to market data issues related to public holidays.
    • Advisory roles in DAX focus on changing perceptions of data management.
    • DAX should be viewed as a data management tool rather than just a permissioning system.
    • Understanding data usage is crucial for cost management in market data.
    • The Advanced Transformation System (ATS) is underutilized in its capabilities.
    • Market data engineering is shifting from plumbing to analytics and data management.
    • There is a shrinking pool of market data engineers, raising concerns for the future.
    • Legacy systems pose challenges, but compelling events can drive change.
    • Opportunities in market data are abundant for those willing to adapt.

    titles

    • Navigating the Market Data Landscape with Kevin Gower
    • The Evolution of Market Data Engineering

    Sound Bites

    • "I see those as opportunities, not threats."
    • "The compelling event is what drives change."
    • "Learn the products, learn the data."

    DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

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    58 分
  • Ian McIntyre (Pico Trading) Episode 40
    2025/09/23

    https://www.linkedin.com/in/imcintyre/
    https://www.pico.net/

    Summary
    In this conversation, David Anderson interviews Ian McIntyre from Pico Trading, exploring the multifaceted world of market data and trading technology. They discuss Ian's extensive background in the industry, the diverse services offered by Pico Trading, and the importance of low latency in market data. The conversation delves into the nuances of direct connectivity versus aggregated data vendors, the role of colocation, and the impact of emerging trends in fixed income markets. Ian shares insights on telecommunications, the significance of network observability through Corval, and the evolving landscape of cloud and AI in market data. The discussion also touches on operational resilience and regulatory compliance, highlighting the challenges and opportunities within the industry.

    Takeaways
    Ian McIntyre has over 20 years of experience in market data.
    Pico Trading offers diverse services including hosting, connectivity, and trading technology.
    Low latency is a critical factor in market data and trading.
    Direct connectivity can reduce costs for clients compared to aggregated vendors.
    Colocation provides efficiency and cost-effectiveness for trading firms.
    Pico is not a member of exchanges but facilitates client access to them.
    The fixed income market is seeing increased demand for low latency solutions.
    Corval enhances network observability and troubleshooting for clients.
    Cloud technology is beneficial for historical data but poses challenges for low latency.
    Regulatory compliance, such as DORA, is becoming increasingly important for market participants.

    Chapters
    00:00 Introduction to Ian McIntyre and Pico Trading
    03:51 Overview of Pico Trading's Services
    08:12 Understanding Low Latency in Market Data
    12:35 Direct Connectivity vs. Aggregated Data Vendors
    18:20 Role of Colocation in Trading
    18:53 Pico's Position in Exchange Membership
    21:48 Trends in Market Data and Trading Technology
    23:12 Emergence of Low Latency in Fixed Income Markets
    29:10 Telecommunications and Direct Connectivity
    30:11 Pico's Network and Extranet Solutions
    33:46 Redline and Its Role in Market Data
    39:03 Corval: Network Observability and Monitoring
    42:47 Cloud and AI in Market Data
    55:40 Operational Resilience and Regulatory Compliance

    DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

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    58 分
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