This paper offers a method for generating discrimination criteria that can be used to identify strong patterns in stock market data. More effective criteria are necessary as short-term trades are often driven by noise rather than valid market signals a viewpoint known as the "noisy trader" model of the stock market. To demonstrate why traditional technical analysis falls short, we applied the s...

We conducted human-subject market experiments to check the effects of charging different types of market fees on human trader’s market selection behavior across multiple markets. In alignment with previous findings using software trading agents, a market charging lump-sum registration fees attracted intramarginal or high-value human traders, while, extra-marginal traders, or low-value traders, ...

A trader is a software component to matchmake between clients and servers on the basis of the type and attributes of the services requested and o ered. A prototype trader, Go-Between, has been developed within CEDIS to obtain practical experience with the concepts and realities of traders in order to: better in uence the development of the ISO/CCITT Trader standard expedite the development of a...

Purpose The purpose of this paper is to examine the impact corporate governance, investor sentiment and financial liberalization on downside systematic risk interplay socio-political turbulence relationship through static dynamic panel estimation models. Design/methodology/approach evidence based a sample 230 publicly listed non-financial firms from Pakistan Stock Exchange (PSX) over period 200...

Pairs trading is an investment strategy that exploits the short-term price difference (spread) between two co-moving stocks. Recently, pairs methods based on deep reinforcement learning have yielded promising results. These can be classified into approaches: (1) indirectly determining actions and stop-loss boundaries (2) directly spread. In former approach, boundary completely dependent boundar...

In this paper we propose a model of decentralized federation of traders. Each component trader manages its own set of federated traders. A federation contract is used to document the agreement between two federating traders. The importer's portion of the federation contract forms an import contract that states the service types available in the remote trader. The exporter's portion of the feder...

We propose a model for trading in very large-scale distributed computing environments which is based on the gradual evolution of a federated trading space through a process of continual exploration and evaluation, rather than on the imposition of a strictly managed hierarchy. In our model, each trader autonomously acquires local knowledge of the trading space, called trading knowledge, through ...

This paper studies the influences of a high-frequency trader (HFT) on large whose future trading is predicted by former. We conclude that HFT always front-runs and benefited when: (1) there sufficient high-speed noise trading; (2) HFT's prediction vague enough. Besides, we find surprisingly making less accurate might decrease trader's profit; when little trading, although nearly does nothing, s...