The prediction of fluctuation in the order-driven financial market

PLoS One. 2021 Nov 18;16(11):e0259598. doi: 10.1371/journal.pone.0259598. eCollection 2021.

Abstract

Risk prediction is one of the important issues that draws much attention from academia and industry. And the fluctuation-absolute value of the change of price, is one of the indexes of risk. In this paper, we focus on the relationship between fluctuation and order volume. Based on the observation that the price would move when the volume of order changes, the prediction of price fluctuation can be converted into the prediction of order volume. Modelling the trader's behaviours-order placement and order cancellation, we propose an order-based fluctuation prediction model. And our model outperforms better than baseline in OKCoin and BTC-e datasets.

Publication types

  • Research Support, Non-U.S. Gov't

Grants and funding

This work was funded by the National Natural Science Foundation of China under grant number 91746301, 61802370. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.