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Limit Order Book Dynamics in High-Frequency Trading: Multivariate Hawkes Processes, Queue-Reactive Models, and Lock-Free Event Pipelines With Rust
Paperback
Series: Computational Mathematics Library
Investing & FinanceProgramming
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Publisher: Independently Published
Published: Dec 15 2025
Pages: 378
Weight: 1.93
Height: 0.78 Width: 8.50 Depth: 11.00
Language: English
Built for quants, researchers, and professional traders, this book delivers a complete, end-to-end treatment of modern limit order book modeling and ultra low latency implementation. It connects rigorous stochastic modeling with production grade systems design, using Rust and lock free event pipelines to bridge the gap between theory and deployable high frequency infrastructure.
You will learn how to represent the limit order book as a dynamic state machine, express order arrivals as multivariate Hawkes processes, and encode queue reactive behavior that responds directly to depth, imbalance, and spread. The text develops these models from first principles, then shows how to estimate, calibrate, and validate them on real tick level data so that they produce reliable, statistically grounded predictions of short term price and liquidity dynamics.
Beyond pure modeling, the book focuses on implementation details that matter in practice. Each chapter includes complete, idiomatic Rust code demos that compile into fast simulations, backtests, and real time components. You will design cache efficient order book data structures, implement lock free queues and rings for event routing, and build an event driven architecture that can sustain bursty message traffic while maintaining deterministic behavior and predictable latency.
The models are combined with a systems perspective to give you a cohesive toolbox for intraday decision making. You will integrate state dependent Hawkes intensities with queue position modeling to estimate execution probabilities and waiting times, connect price impact and resilience to concrete order flow patterns, and prototype market making and statistical arbitrage style strategies directly on top of a realistic, high fidelity simulation environment.
Throughout, the emphasis is on reproducibility, interpretability, and performance. The book shows how to perform online inference from streaming market data, replay historical sessions deterministically, and stress test strategies under liquidity droughts and extreme volatility. By the end, you will have a clear path from microstructure theory, to calibrated multivariate point process and queue reactive models, to lock free Rust implementations that can be adapted for both research and production grade trading systems.
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