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Beyond Trend Following: Deep Learning for Market Trend Prediction

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  • Fernando Berzal
  • Alberto Garcia

Abstract

Trend following and momentum investing are common strategies employed by asset managers. Even though they can be helpful in the proper situations, they are limited in the sense that they work just by looking at past, as if we were driving with our focus on the rearview mirror. In this paper, we advocate for the use of Artificial Intelligence and Machine Learning techniques to predict future market trends. These predictions, when done properly, can improve the performance of asset managers by increasing returns and reducing drawdowns.

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  • Fernando Berzal & Alberto Garcia, 2024. "Beyond Trend Following: Deep Learning for Market Trend Prediction," Papers 2407.13685, arXiv.org.
    • Handle: RePEc:arx:papers:2407.13685
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    References listed on IDEAS

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    1. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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