Add to ORKGThis Interactive Qualifying Project examines the process of analyzing, selecting and investing successfully in the stock market. Specifically, it focuses on the current and future impact of autonomous trading agents and their impact on investing and investment strategies. A seven week simulation was used to test the effectiveness and utility of an autonomous trading agent. This project compares the investment success of the agent, human counterparts, and the stock market as a whole
[[abstract]]Stock markets are comprised of complex systems which are characterized by a large yet dy...
Through the use of tools and resources available from the Internet as well as text references, our t...
The authors of this paper present the architecture of a multi-agent system which supports investment...
Electronic trading is relatively new to the long history of financial markets. The typical tradition...
Abstract. This paper documents the development of three autonomous stocktrading agents within the fr...
In this article the authors present the simulated trading results of a system consisting of 60 intel...
The following report discusses the design and development of an agent-based artificial model of a st...
This Interactive Qualifying Project includes a study of the Stock Market and some major factors that...
The main goal of this Interactive Qualifying Project was to learn more about different trading strat...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
The purpose of this paper is to define software engineering abstractions that provide a generic fram...
Artificial intelligence (AI) is a high-profile topic – it is currently impossible to avoid in the me...
In this paper, from the investor’s perspective, we will use intelligent agents to simulate the inves...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
International audienceQuantitative finance has had a long tradition of a bottom-up approach to compl...
[[abstract]]Stock markets are comprised of complex systems which are characterized by a large yet dy...
Through the use of tools and resources available from the Internet as well as text references, our t...
The authors of this paper present the architecture of a multi-agent system which supports investment...
Electronic trading is relatively new to the long history of financial markets. The typical tradition...
Abstract. This paper documents the development of three autonomous stocktrading agents within the fr...
In this article the authors present the simulated trading results of a system consisting of 60 intel...
The following report discusses the design and development of an agent-based artificial model of a st...
This Interactive Qualifying Project includes a study of the Stock Market and some major factors that...
The main goal of this Interactive Qualifying Project was to learn more about different trading strat...
Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, i...
The purpose of this paper is to define software engineering abstractions that provide a generic fram...
Artificial intelligence (AI) is a high-profile topic – it is currently impossible to avoid in the me...
In this paper, from the investor’s perspective, we will use intelligent agents to simulate the inves...
Stock markets strive to provide an efficient trading platform for investors. Trading rules and mecha...
International audienceQuantitative finance has had a long tradition of a bottom-up approach to compl...
[[abstract]]Stock markets are comprised of complex systems which are characterized by a large yet dy...
Through the use of tools and resources available from the Internet as well as text references, our t...
The authors of this paper present the architecture of a multi-agent system which supports investment...