HLOB -- Information Persistence and Structure in Limit Order Books
Fuente:
arXiv
Saved in:
| Main Authors: | Briola, Antonio, Bartolucci, Silvia, Aste, Tomaso |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Limit Order Book Forecasting
by: Briola, Antonio, et al.
Published: (2024)
by: Briola, Antonio, et al.
Published: (2024)
DiffVolume: Diffusion Models for Volume Generation in Limit Order Books
by: Wang, Zhuohan, et al.
Published: (2025)
by: Wang, Zhuohan, et al.
Published: (2025)
Deep Learning Meets Queue-Reactive: A Framework for Realistic Limit Order Book Simulation
by: Bodor, Hamza, et al.
Published: (2025)
by: Bodor, Hamza, et al.
Published: (2025)
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
by: Yang, Jiahao, et al.
Published: (2025)
by: Yang, Jiahao, et al.
Published: (2025)
Temporal Kolmogorov-Arnold Networks (T-KAN) for High-Frequency Limit Order Book Forecasting: Efficiency, Interpretability, and Alpha Decay
by: Makinde, Ahmad
Published: (2026)
by: Makinde, Ahmad
Published: (2026)
Exploring Microstructural Dynamics in Cryptocurrency Limit Order Books: Better Inputs Matter More Than Stacking Another Hidden Layer
by: Wang, Haochuan
Published: (2025)
by: Wang, Haochuan
Published: (2025)
Estimation of an Order Book Dependent Hawkes Process for Large Datasets
by: Mucciante, Luca, et al.
Published: (2023)
by: Mucciante, Luca, et al.
Published: (2023)
Bridging the Reality Gap in Limit Order Book Simulation
by: Noble, Patrick, et al.
Published: (2026)
by: Noble, Patrick, et al.
Published: (2026)
ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Competition and Incentives in a Shared Order Book
by: Aïd, René, et al.
Published: (2025)
by: Aïd, René, et al.
Published: (2025)
When AI Trading Agents Compete: Adverse Selection of Meta-Orders by Reinforcement Learning-Based Market Making
by: Jafree, Ali Raza, et al.
Published: (2025)
by: Jafree, Ali Raza, et al.
Published: (2025)
Limit Order Book Simulations: A Review
by: Jain, Konark, et al.
Published: (2024)
by: Jain, Konark, et al.
Published: (2024)
Learning the Spoofability of Limit Order Books With Interpretable Probabilistic Neural Networks
by: Fabre, Timothée, et al.
Published: (2025)
by: Fabre, Timothée, et al.
Published: (2025)
Limit Order Book Simulation and Trade Evaluation with $K$-Nearest-Neighbor Resampling
by: Giegrich, Michael, et al.
Published: (2024)
by: Giegrich, Michael, et al.
Published: (2024)
Optimal Execution with Reinforcement Learning
by: Hafsi, Yadh, et al.
Published: (2024)
by: Hafsi, Yadh, et al.
Published: (2024)
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning
by: Ye, Zhengxin Joseph, et al.
Published: (2024)
by: Ye, Zhengxin Joseph, et al.
Published: (2024)
End-to-End Policy Learning of a Statistical Arbitrage Autoencoder Architecture
by: Krause, Fabian, et al.
Published: (2024)
by: Krause, Fabian, et al.
Published: (2024)
Supervised Autoencoder MLP for Financial Time Series Forecasting
by: Bieganowski, Bartosz, et al.
Published: (2024)
by: Bieganowski, Bartosz, et al.
Published: (2024)
Dynamic Pricing in Securities Lending Market: Application in Revenue Optimization for an Agent Lender Portfolio
by: Xu, Jing, et al.
Published: (2024)
by: Xu, Jing, et al.
Published: (2024)
Learning the Market: Sentiment-Based Ensemble Trading Agents
by: Ye, Andrew, et al.
Published: (2024)
by: Ye, Andrew, et al.
Published: (2024)
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
by: Zong, Chuqiao, et al.
Published: (2024)
by: Zong, Chuqiao, et al.
Published: (2024)
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics
by: Hossain, Mabsur Fatin Bin, et al.
Published: (2024)
by: Hossain, Mabsur Fatin Bin, et al.
Published: (2024)
Long Short-Term Memory Pattern Recognition in Currency Trading
by: Pal, Jai
Published: (2024)
by: Pal, Jai
Published: (2024)
Detecting Toxic Flow
by: Cartea, Álvaro, et al.
Published: (2023)
by: Cartea, Álvaro, et al.
Published: (2023)
On-line reinforcement learning for optimization of real-life energy trading strategy
by: Lepak, Łukasz, et al.
Published: (2023)
by: Lepak, Łukasz, et al.
Published: (2023)
DeePM: Regime-Robust Deep Learning for Systematic Macro Portfolio Management
by: Wood, Kieran, et al.
Published: (2026)
by: Wood, Kieran, et al.
Published: (2026)
Bayesian Robust Financial Trading with Adversarial Synthetic Market Data
by: Xia, Haochong, et al.
Published: (2026)
by: Xia, Haochong, et al.
Published: (2026)
Evaluation of Reinforcement Learning Techniques for Trading on a Diverse Portfolio
by: Khare, Ishan S., et al.
Published: (2023)
by: Khare, Ishan S., et al.
Published: (2023)
Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks
by: Ma, Bohan, et al.
Published: (2023)
by: Ma, Bohan, et al.
Published: (2023)
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
by: Xia, Haochong, et al.
Published: (2023)
by: Xia, Haochong, et al.
Published: (2023)
FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024
by: Grover, Arnav
Published: (2025)
by: Grover, Arnav
Published: (2025)
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
by: Liu, Kuan-Ming, et al.
Published: (2025)
by: Liu, Kuan-Ming, et al.
Published: (2025)
Advanced simulation paradigm of human behaviour unveils complex financial systemic projection
by: Wang, Cheng, et al.
Published: (2025)
by: Wang, Cheng, et al.
Published: (2025)
Diverse Approaches to Optimal Execution Schedule Generation
by: de Witt, Robert, et al.
Published: (2026)
by: de Witt, Robert, et al.
Published: (2026)
Reinforcement Learning in Queue-Reactive Models: Application to Optimal Execution
by: Espana, Tomas, et al.
Published: (2025)
by: Espana, Tomas, et al.
Published: (2025)
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models
by: Wang, Yanlong, et al.
Published: (2025)
by: Wang, Yanlong, et al.
Published: (2025)
Enhancing Financial Data Visualization for Investment Decision-Making
by: Patel, Nisarg, et al.
Published: (2023)
by: Patel, Nisarg, et al.
Published: (2023)
Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance
by: Saly-Kaufmann, Adir, et al.
Published: (2026)
by: Saly-Kaufmann, Adir, et al.
Published: (2026)
A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
by: Letteri, Ivan
Published: (2025)
by: Letteri, Ivan
Published: (2025)
Forecasting High Frequency Order Flow Imbalance
by: Anantha, Aditya Nittur, et al.
Published: (2024)
by: Anantha, Aditya Nittur, et al.
Published: (2024)
Similar Items
-
Deep Limit Order Book Forecasting
by: Briola, Antonio, et al.
Published: (2024) -
DiffVolume: Diffusion Models for Volume Generation in Limit Order Books
by: Wang, Zhuohan, et al.
Published: (2025) -
Deep Learning Meets Queue-Reactive: A Framework for Realistic Limit Order Book Simulation
by: Bodor, Hamza, et al.
Published: (2025) -
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
by: Yang, Jiahao, et al.
Published: (2025) -
Temporal Kolmogorov-Arnold Networks (T-KAN) for High-Frequency Limit Order Book Forecasting: Efficiency, Interpretability, and Alpha Decay
by: Makinde, Ahmad
Published: (2026)