Analysis and Design of Stock Item Buy/Sell Recommend System using AI Machine Learning Technology

Byung-ho Cho
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Abstract

It is difficult to predict an increase or decrease of stock price because of uncertainty. Researches for prediction of stock price using AI technology have been done for a long time. Recently stock buy/sell recommend programs called by Robot Advisor using AI machine learning technology are used. In this paper, to develop a stock buy/sell recommend system using AI technology, an core engine of this system is designed. An analysis and design method of a stock buy/sell recommend system software using AI machine learning technology will be presented by showing user requirement analysis using object-oriented analysis method, flowchart and screen design.
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基于AI机器学习技术的股票买卖推荐系统分析与设计
由于不确定性,股票价格的涨跌很难预测。利用人工智能技术进行股票价格预测的研究已经进行了很长时间。最近使用了机器人顾问使用人工智能机器学习技术调用的股票买入/卖出推荐程序。本文利用人工智能技术开发了一个股票买卖推荐系统,设计了该系统的核心引擎。介绍了一种利用AI机器学习技术的股票买卖推荐系统软件的分析设计方法,通过使用面向对象的分析方法、流程图和屏幕设计展示用户需求分析。
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