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首页> 外文会议>International Conference on Information Science and Control Engineering >An Ensemble Learning Model Integrating Short-term Trend and Long-term Trend Used in Stock Price Forecasting
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An Ensemble Learning Model Integrating Short-term Trend and Long-term Trend Used in Stock Price Forecasting

机译：短期趋势与长期趋势相结合的集成学习模型在股价预测中的应用

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摘要

With the development of the stock market and the improvement of people’s living standard, more and more investors enter the stock market, and how to use historical information to analyze and predict the future trend in the complex stock market has become a hot issue at present. Based on SVR model, this paper introduces a stock price prediction model on the basis of short-term and long-term ensemble learning, analyzing and verifying the ensemble learning model with a large amount of historical data of the stock price. The results of the experiment show that the ensemble learning model can effectively improve the accuracy of the SVR model in stock price prediction.
机译：随着股票市场的发展和人民生活水平的提高，越来越多的投资者进入股票市场，如何利用历史信息在复杂的股票市场中分析和预测未来趋势已成为当前的热点问题。本文在SVR模型的基础上，提出了一种基于短期和长期集成学习的股票价格预测模型，并用大量的股票价格历史数据对集成学习模型进行了分析和验证。实验结果表明，集成学习模型能有效提高SVR模型在股价预测中的准确性。

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