Abstract

There is a growing interest to understand financial markets as ecological systems, where the variety of trading strategies correspond to that of biological species. For this purpose, transaction data for individual traders are studied recently as empirical analyses. However, there are few empirical studies addressing how traders submit limit and market order at the level of individual traders. Since limit and market orders are key ingredients finally leading to transactions, it would be necessary to understand what kind of strategies are actually employed among traders before making transactions. Here we demonstrate the variety of limit-order and market-order strategies and show their roles in the financial markets from an ecological perspective. We find these trading strategies can be well-characterized by their response pattern to historical price changes. By applying a clustering analysis, we provide an overall picture of trading strategies as an ecological matrix, illustrating that liquidity consumers are likely to exhibit high trading performances compared with liquidity providers. Furthermore, we reveal both high-frequency traders (HFTs) and low-frequency traders (LFTs) exhibit high trading performance, despite the difference in their trading styles; HFTs attempt to maximize their trading efficiency by reducing risk, whereas LFTs make their profit by taking risk.

Highlights

  • IntroductionIt has become possible to track trading of individual traders in detail mainly due to technological development

  • In financial markets, it has become possible to track trading of individual traders in detail mainly due to technological development

  • To understand financial markets as a market ecology, we are interested in the typical differences of limit-order strategies, rather than the detailed differences of them in this paper

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Summary

Introduction

It has become possible to track trading of individual traders in detail mainly due to technological development. Such technical advances have invoked the curiosity of researchers to reveal mechanisms behind the deviation of actual financial markets from pure random processes, in terms of the variety of trading strategies. The relationship between past average returns and trader’s decision to buy or sell stocks is reported in Refs. The bilinear relationship was established between the average log turnover and the average log-account values in Ref. Reference [4] demonstrates that the response pattern to endogenous factors

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