多智能体股票交易算法模型

2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2011-09-26 DOI:10.1109/SYNASC.2011.11

M. Tirea, Ioan Tandau, V. Negru

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引用次数: 8

摘要

股票交易算法模型是研究人员长期研究的一个重要问题，它将技术和基础分析知识、时间序列知识与计算机科学或编程知识相结合，以寻求股票收益的解决方案。本文提出了一个帮助用户在股票市场上成功投资的多智能体体系结构。这意味着使用技术和基本面分析，以便对证券的趋势做出有用的预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-agent Stock Trading Algorithm Model

Stock Trading Algorithm Models are an important problem researchers dealt with through time that implied knowledge in technical and fundamental analysis, time series combined with knowledge expertise in computer science or programming in order to find solutions of how to have a stock gain. This paper proposes a multi-agent architecture that assists a user in making a successful investment on the stock market. This implies the use of technical and fundamental analysis in order to make a useful prediction of the security's trend.

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来源期刊

2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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