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Quant Radio: Transformers in Quant Trading 

Quantopian
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Join us as we explore how AI transformer models are revolutionizing quantitative trading. This episode unpacks a groundbreaking study applying transformer models-commonly used in natural language processing-to the stock market. Discover how this innovative approach outperforms traditional strategies by analyzing market sentiment and predicting long-term trends. Whether you're a trader or an AI enthusiast, this deep dive will leave you fascinated by the future of AI in finance.
For more quant-focused content, join us at ⁠⁠⁠⁠community.quan...⁠⁠⁠⁠. There, you can explore a wealth of resources, connect with fellow quants, engage in insightful discussions, and enhance your skills through our extensive range of online courses.
Quant Radio is an AI-generated podcast, intended to help people develop their knowledge and skills in Quant finance. This podcast is not intended to provide investment advice.
Learn more by subscribing to our RU-vid channel to access all of our videos.
As always, if there are any topics you would like us to focus on for future videos, please comment below or send us a quick note at info@quantopian.com.
Disclaimer
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

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30 окт 2024

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