The Hedgineer Podcast explores the world of finance, hedge funds and prop trading by looking at the technology that is used to build it. We interview the brightest minds in industry to discuss where they see the technology in the space going and how it is shaping the industry. For anyone building a career in the industry, trying to leverage technology to get an edge, or just curious about what this crazy world of technology in investing is like, this show is for you!
Hedgineer = Hedge Fund + Engineer
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The Hedgineer Podcast explores the world of finance, hedge funds and prop trading by looking at the technology that is used to build it. We interview the brightest minds in industry to discuss where they see the technology in the space going and how it is shaping the industry. For anyone building a career in the industry, trying to leverage technology to get an edge, or just curious about what this crazy world of technology in investing is like, this show is for you!
Hedgineer = Hedge Fund + Engineer
Follow On
Hosted on Acast. See acast.com/privacy for more information.
Welcome to Episode 16 of The Hedgineer Podcast! In this episode, host Michael Watson dives deep into the world of technology, data, and AI in the asset management, hedge fund, and proprietary trading space. Joining Michael is Christina Qi, the founder of Databento.
Michael kicks off the episode by introducing Christina and discussing the disruptive impact of Databento on the real-time market data experience within the asset management hedge fund space. Christina shares her extensive background, including nearly a decade of running a hedge fund and the challenges she faced due to poor data quality and high costs.
Christina explains the motivation behind founding Databento, driven by the need for better data solutions tailored for machine learning and AI applications in trading. She emphasizes the importance of having real-time, high-quality data delivered via API, which was previously lacking in the market.
Throughout their conversation, Christina and Michael explore various topics, including the scalability of data vendors, the differences between working in a data vendor versus a traditional financial firm, and the challenges of managing data in the finance industry. They also discuss the evolving landscape of investors, highlighting the rise of prosumer-type data consumers who require more advanced data services than typical retail users.
The episode also delves into the impact of community-driven platforms like Reddit and the importance of genuine content in fostering meaningful discussions. Christina shares her experiences with different online communities and the challenges of maintaining authenticity in a space often dominated by advertisements.
Overall, this episode provides valuable insights into the intersection of technology, data, and AI in the finance industry, showcasing the innovative solutions offered by Databento and the broader trends shaping the future of asset management and trading.
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