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The prediction of fluctuation in the order-driven financial market

Authors :
Zidong Wang
Xiao-Qian Sun
Jinhua Gao
Huawei Shen
Xueqi Cheng
Fa-Bin Shi
Source :
PLoS ONE, Vol 16, Iss 11 (2021), PLoS ONE, PLoS ONE, Vol 16, Iss 11, p e0259598 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 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.

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
11
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....71d1510e1e8c12aac36f17af585dc47a