The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, p. 2O1-J-13-04, June 5, 2019
The 33rd Annual Conference of the Japanese Society for Artificial Intelligence
This study aimed to analyze the order behavior by High-frequency traders (HFT) called market making (MM) strategy. We used the order data of Tokyo Stock Exchange provided by Japan Exchange Group, Inc.. Firstly, we preprocessed the order data for merging virtual server used by the same traders. Secondly, we did a cluster analysis of traders based on some indexes indicating features of their trading strategy and extracted HFT-MM traders. Then, we calculated how many ticks their ordering price is far from the last executed price. As a result, we found some of their orders were placed at quite far (5-10 ticks) price from the last executed price for HFT-MM. This result means they mixed some strategies other than market making strategy and the strategies, possibly, will cause the unstabilizing effect when the market price is very fluctuating.
High-Frequency Trading; Stock Exchange; Market Making Strategy; Clustering;
10.11517/pjsai.JSAI2019.0_2O1J1304
@inproceedings{Hirano2019-jsai33,
title={{Analysis of Limit Orders by High-Frequency Traders in Tokyo Stock Exchange [in Japanese]}},
author={Masanori HIRANO and Kiyoshi IZUMI and Hiroyasu MATSUSHIMA and Hiroki SAKAJI and Takashi SHIMADA},
booktitle={The 33rd Annual Conference of the Japanese Society for Artificial Intelligence},
pages={2O1-J-13-04},
doi={10.11517/pjsai.JSAI2019.0_2O1J1304},
year={2019}
}