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Financial trading as a game

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Manage episode 401092544 series 1993932
内容由AI-Podden with Ather Gattami and Ather Gattami提供。所有播客内容(包括剧集、图形和播客描述)均由 AI-Podden with Ather Gattami and Ather Gattami 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of the AI Podcast, host Ather Gattami interviews Michal Sustr, co-founder of EquiLibre, a company that uses game theory and reinforcement learning for trading.

Michal discusses the company's approach to trading, which is based on the idea that markets can be modelled as games. He explains that EquiLibre uses game theory to develop algorithms which can predict the behaviour of other traders and make profitable trades.

Ather and Michal also discuss the future of AI, and Sustr predicts that large language models (LLMs) will continue to be a major area of research in the coming years. Michal believes that LLMs will eventually be able to reason and solve problems in a way that is indistinguishable from human intelligence.

Don't forget to subscribe and follow us on Linkedin.

  continue reading

146集单集

Artwork

Financial trading as a game

AI-podden

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published

icon分享
 
Manage episode 401092544 series 1993932
内容由AI-Podden with Ather Gattami and Ather Gattami提供。所有播客内容(包括剧集、图形和播客描述)均由 AI-Podden with Ather Gattami and Ather Gattami 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of the AI Podcast, host Ather Gattami interviews Michal Sustr, co-founder of EquiLibre, a company that uses game theory and reinforcement learning for trading.

Michal discusses the company's approach to trading, which is based on the idea that markets can be modelled as games. He explains that EquiLibre uses game theory to develop algorithms which can predict the behaviour of other traders and make profitable trades.

Ather and Michal also discuss the future of AI, and Sustr predicts that large language models (LLMs) will continue to be a major area of research in the coming years. Michal believes that LLMs will eventually be able to reason and solve problems in a way that is indistinguishable from human intelligence.

Don't forget to subscribe and follow us on Linkedin.

  continue reading

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