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the claim

Order book imbalances directly trigger changes in stock prices

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Multiple studies in market microstructure confirm that order book imbalances exhibit a strong positive correlation with future returns and can be used to model and predict short-term stock price movements.

The analysis

The claim posits that order book imbalances directly trigger changes in stock prices. Papers 0, 6, and 8 all explicitly confirm the strong empirical relationship and predictive power of order book imbalance on future returns and price movements in financial markets. Therefore, the claim is well-supported by the provided literature.

Evidence for · 3
Recorded source metadata

Isao Yagi, Mahiro Hoshino, Takanobu Mizuta. Impact of High-Frequency Trading with an Order Book Imbalance Strategy on Agent-Based Stock Markets. 2023. https://doi.org/10.1155/2023/3996948

Paper [0] highlights the established positive correlation between order book imbalance and future returns.

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More for · 2
Recorded source metadata

W. Chi, Xuemei Zhao, Lufei Huang. The Price Impact of Order Book Events from a Dimension of Time. 2021. https://doi.org/10.1155/2021/9949565

Paper [6] demonstrates that order imbalances and order execution imbalances directly explain price movements and improve price prediction models.

Recorded source metadata

Jiahao Yang, Ran Fang, Ming Zhang, Jun Zhou. An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book. 2025. https://doi.org/10.48550/arXiv.2505.22678

Paper [8] notes that utilizing order flow imbalance features helps deep learning models effectively predict stock price movements based on limit order books.

The paper trail · every fact has a biography
first checked01 Aug 2026
judged → SUPPORTED · 8101 Aug 2026
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