A Multi Agent Decision Support System For Stock Trading

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A Multi-Agent Framework for Stock Trading

    http://www2.cs.siu.edu/~rahimi/papers/11-.pdf
    A Multi-Agent Framework for Stock Trading Shahram Rahimi, Raju Tatikunta, Raheel Ahmad, Bidyut Gupta ... Multi-agent systems, stock-exchange modeling, ... which is a multi-criteria knowledge-based decision support system in the assessment of corporate failure risk.

CiteSeerX — A multi-agent framework for stock trading

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.198.5244
    Based on the requirement analysis, this paper presents a framework for a Multi-Agent System for Stock Trading (MASST). The key issues it addresses include gathering and integrating diverse information sources with collaborating agents, and providing decision-making for investors in the stock market.

A Multi-agent Q-learning Framework for Optimizing Stock ...

    https://www.researchgate.net/publication/221465347_A_Multi-agent_Q-learning_Framework_for_Optimizing_Stock_Trading_Systems
    Multi-agent approaches to stock trading have been taken previously [9], however, they do not account for placing limit orders. The general concept of the micro-agent (see section 3) has been shown ...

Stock Technical Analysis using Multi Agent and Fuzzy Logic

    http://www.iaeng.org/publication/WCE2007/WCE2007_pp142-147.pdf
    Abstract—this paper proposes a multi agent and fuzzy logic based DSS for stock market. This sy stem will help investors of the ... decision making process in stock trading is a very critical and important process because it must ... decision support system for technical analysis of stock market,

(PDF) A multi-agent system framework for decision support ...

    https://www.academia.edu/19665812/A_multi-agent_system_framework_for_decision_support_in_Stock_Trading
    A multi-agent system framework for decision support in Stock Trading

Multi-Agent Forex Trading System SpringerLink

    https://link.springer.com/chapter/10.1007/978-3-642-13526-2_5
    That was due to the fact that each agent performed too many trades, and the cost associated with the trading commissions became prohibitively high. We were able to lessen the impact of the trading costs in the total profit by integrating the agents in a multi-agent system, in which the agents communicated with each other before opening new trades.Cited by: 15



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