Bridging the Reality Gap in Limit Order Book Simulation
Patrick Noble, Mathieu Rosenbaum, Saad Souilmi

TL;DR
This paper presents a practical, interactive limit order book simulator that accurately reproduces market dynamics, costs, and P&L, aiding in strategy testing and understanding market microstructure.
Contribution
It introduces a novel simulation approach using a tractable state representation, calibrated event timing, and a feedback mechanism to produce realistic market behavior.
Findings
Simulator reproduces realistic execution costs and P&L.
Market impact is concave during execution and partially reverts post-trade.
Profitability is highly sensitive to execution parameters.
Abstract
We introduce a practical, interactive simulator of the limit order book for large-tick assets, designed to produce realistic execution, costs, and P&L. The book state is projected onto a tractable representation based on spread and volume imbalance, enabling robust estimation from market data. Event timing is calibrated to reproduce the fine-scale temporal structure of real markets, revealing a pronounced mode at exchange round-trip latency consistent with simultaneous reactions and latency races among participants. We further incorporate a feedback mechanism that accumulates signed trade flow through a power-law decay kernel, reproducing both concave market impact during execution and partial post-trade reversion. Across several stocks and strategy case studies, the simulator yields realistic behavior where profitability becomes highly sensitive to execution parameters. We present the…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Auction Theory and Applications · Complex Systems and Time Series Analysis
