Pregeometric Origins of Liquidity Geometry in Financial Order Books
Jo\~ao P. da Cruz

TL;DR
This paper introduces a geometric framework for understanding liquidity in financial order books, showing that observable liquidity profiles follow gamma-like forms due to underlying structural constraints rather than microstructural details.
Contribution
It presents a novel pregeometric, spectral graph approach to model order book liquidity as emergent observables constrained by geometric principles.
Findings
Liquidity profiles follow gamma-like functional forms.
High-frequency data supports the integrated-gamma model.
Simulation reproduces observed structure without agent-based assumptions.
Abstract
We propose a structural framework for the geometry of financial order books in which liquidity, supply, and demand are treated as emergent observables rather than primitive economic variables. The market is modeled as an inflationary relational system without assumed metric, temporal, or price coordinates. Observable quantities arise only through projection, implemented here via spectral embeddings of the graph Laplacian. A one-dimensional projection induces a price-like coordinate, while the projected density defines liquidity profiles around the mid price. Under a minimal single-scale hypothesis -- excluding intrinsic length scales beyond distance to the mid and finite visibility -- we show that projected supply and demand are constrained to gamma-like functional forms. In discrete data, this prediction translates into integrated-gamma cumulative profiles. We test these results using…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Economic theories and models · Financial Markets and Investment Strategies
