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HLOB–Information persistence and structure in limit order books

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  • Briola, Antonio
  • Bartolucci, Silvia
  • Aste, Tomaso

Abstract

We introduce a novel large-scale deep learning model for Limit Order Book mid-price changes forecasting, and we name it ‘HLOB’. This architecture (i) exploits the information encoded by an Information Filtering Network, namely the Triangulated Maximally Filtered Graph, to unveil deeper and non-trivial dependency structures among volume levels; and (ii) guarantees deterministic design choices to handle the complexity of the underlying system by drawing inspiration from the groundbreaking class of Homological Convolutional Neural Networks. We test our model against 9 state-of-the-art deep learning alternatives on 3 real-world Limit Order Book datasets, each including 15 stocks traded on the NASDAQ exchange, and we systematically characterize the scenarios where HLOB outperforms state-of-the-art architectures. Our approach sheds new light on the spatial distribution of information in Limit Order Books and on its degradation over increasing prediction horizons, narrowing the gap between microstructural modeling and deep learning-based forecasting in high-frequency financial markets.

Suggested Citation

  • Briola, Antonio & Bartolucci, Silvia & Aste, Tomaso, 2025. "HLOB–Information persistence and structure in limit order books," LSE Research Online Documents on Economics 126623, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:126623
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    File URL: http://eprints.lse.ac.uk/126623/
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    References listed on IDEAS

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    More about this item

    Keywords

    deep learning; eEconophysics; High frequency trading; limit order book; market microstructure;
    All these keywords.

    JEL classification:

    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D51 - Microeconomics - - General Equilibrium and Disequilibrium - - - Exchange and Production Economies
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets

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