TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Rama Cont & Arseniy Kukanov & Sasha Stoikov, 2014. "The Price Impact of Order Book Events," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 47-88.
- Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
- Hanna Hultin & Henrik Hult & Alexandre Proutiere & Samuel Samama & Ala Tarighati, 2023. "A generative model of a limit order book using recurrent neural networks," Quantitative Finance, Taylor & Francis Journals, vol. 23(6), pages 931-958, June.
- Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," The Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
- Justin A. Sirignano, 2019. "Deep learning for limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 19(4), pages 549-570, April.
- Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
- R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Leonardo Berti & Bardh Prenkaj & Paola Velardi, 2025. "TRADES: Generating Realistic Market Simulations with Diffusion Models," Papers 2502.07071, arXiv.org, revised Feb 2025.
- Zijian Shi & John Cartlidge, 2024. "Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
- Zijian Shi & John Cartlidge, 2023. "Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology," Papers 2303.00080, arXiv.org.
- Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
- Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006.
"Random walks, liquidity molasses and critical response in financial markets,"
Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
- J. -P. Bouchaud & J. Kockelkoren & M. Potters, 2004. "Random walks, liquidity molasses and critical response in financial markets," Papers cond-mat/0406224, arXiv.org, revised Jun 2004.
- Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2004. "Random walks, liquidity molasses and critical response in financial markets," Science & Finance (CFM) working paper archive 500063, Science & Finance, Capital Fund Management.
- Juan C. Henao-Londono & Sebastian M. Krause & Thomas Guhr, 2021. "Price response functions and spread impact in correlated financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-20, April.
- Lallouache, Mehdi & Abergel, Frédéric, 2014. "Tick size reduction and price clustering in a FX order book," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 488-498.
- Wang, Yougui & Stanley, H.E., 2009. "Statistical approach to partial equilibrium analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1173-1180.
- Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008.
"Empirical regularities of order placement in the Chinese stock market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3173-3182.
- Gao-Feng Gu & Wei Chen & Wei-Xing Zhou, 2007. "Empirical regularities of order placement in the Chinese stock market," Papers 0712.0912, arXiv.org.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016.
"Rock around the clock: An agent-based model of low- and high-frequency trading,"
Journal of Evolutionary Economics, Springer, vol. 26(1), pages 49-76, March.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," Working Papers hal-01070542, HAL.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," SciencePo Working papers Main hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," SciencePo Working papers Main hal-01070542, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgo Fagiolo, 2014. "Rock around the clock :An agent-based model of low-and high frequency trading," Documents de Travail de l'OFCE 2014-03, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: An agent-based model of low- and high-frequency trading," Post-Print hal-01515227, HAL.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Working Papers 02/2014, University of Verona, Department of Economics.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016. "Rock around the Clock : An agent-based model of low- and high-frequency trading," Post-Print hal-01512863, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," GREDEG Working Papers 2014-21, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," LEM Papers Series 2014/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Papers 1402.2046, arXiv.org.
- Svitlana Vyetrenko & David Byrd & Nick Petosa & Mahmoud Mahfouz & Danial Dervovic & Manuela Veloso & Tucker Hybinette Balch, 2019. "Get Real: Realism Metrics for Robust Limit Order Book Market Simulations," Papers 1912.04941, arXiv.org.
- Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: I. Empirical facts," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 991-1012.
- repec:spo:wpmain:info:hdl:2441/f6h8764enu2lskk9p4oq9ig8k is not listed on IDEAS
- Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
- Jovanovic, Franck & Mantegna, Rosario N. & Schinckus, Christophe, 2019. "When financial economics influences physics: The role of Econophysics," International Review of Financial Analysis, Elsevier, vol. 65(C).
- Korolev, V.Yu. & Chertok, A.V. & Korchagin, A.Yu. & Zeifman, A.I., 2015. "Modeling high-frequency order flow imbalance by functional limit theorems for two-sided risk processes," Applied Mathematics and Computation, Elsevier, vol. 253(C), pages 224-241.
- Hamza Bodor & Laurent Carlier, 2024. "Stylized Facts and Market Microstructure: An In-Depth Exploration of German Bond Futures Market," Papers 2401.10722, arXiv.org.
- Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
- Thiago W. Alves & Ionut Florescu & George Calhoun & Dragos Bozdog, 2020. "SHIFT: A Highly Realistic Financial Market Simulation Platform," Papers 2002.11158, arXiv.org, revised Aug 2020.
- repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p4oq9ig8k is not listed on IDEAS
- Jakob Albers & Mihai Cucuringu & Sam Howison & Alexander Y. Shestopaloff, 2021. "Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets," Papers 2108.09750, arXiv.org.
- Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2025-03-17 (Big Data)
- NEP-CMP-2025-03-17 (Computational Economics)
- NEP-FMK-2025-03-17 (Financial Markets)
- NEP-MST-2025-03-17 (Market Microstructure)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2502.15757. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.