金融市场在国家经济发展中占有重要地位，股票市场作为其一部分有着密不可分的关系。现代社会中，投资门槛降低，资金充足，人们开始尝试各种投资方式。股票作为重要投资工具，其价格趋势预测在学术界和投资界都有着举足轻重的意义。1980年，我国金融市场纳入股票，现在股票市场正渐渐成熟。股票价格变化受经济环境、人为操纵、国际政经政策等多因素影响，飘忽不定，因此预测股票价格走势至关重要。国内外对股票价格研究从未停止，提出了道氏理论、波浪理论等，并将回归分析、GARCH模型、ARIMA模型等应用于股价预测。而最近几年，随着信息技术的发展，神经网络模型作为一个具有强大学习能力的模型，并逐步用于股票价格的预测。与此同时，随着多学科交叉研究的出现，为股价预测提供了新的思路和方法。

        The financial market plays an important role in the development of the national economy, and the stock market, as a part of it, has an inseparable relationship. In modern society, with lower investment thresholds and sufficient funds, people are beginning to try various investment methods. As an important investment tool, predicting the price trend of stocks plays a crucial role in both academic and investment circles. In 1980, China's financial market included stocks, and now the stock market is gradually maturing. The fluctuation of stock prices is influenced by multiple factors such as economic environment, human manipulation, and international political and economic policies, making it crucial to predict the trend of stock prices. Research on stock prices has never stopped both domestically and internationally, with Dow theory, wave theory, etc. being proposed, and regression analysis, GARCH model, ARIMA model, etc. being applied to stock price prediction. In recent years, with the development of information technology, neural network models, as a model with strong learning ability, have gradually been applied to stock price prediction. At the same time, the rise of interdisciplinary research has driven the development of artificial neural networks, providing new ideas and methods for stock price prediction.