Forecasting Liquidity Withdrawal with Machine Learning Models

By Haochuan (Kevin) Wang

Published 2025-08-01

Everscope rating

1914.8

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Multi-horizon Liquidity Withdrawal Forecasting Framework. Problem types: Time Series Forecasting, Regression, Risk Management, Market Making, Algorithmic Execution, Anomaly Detection (liquidity stress events).

arXiv:2509.22985 · Paper rankings

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