By considering financial conditions of listed companies, industrial environment, macroeconomics, and financial news, this study developed a decision support system for a fundamental analysis-based stock market forecasting to select optimal stocks from the stock market and predict their future price trends to provide a reference for investor decisions. The tasks involved in the study include: (i) design a fundamental analysis-based approach to stock market forecasting, (ii) develop techniques related to fundamental analysis-based stock market forecasting, and (iii) demonstrate the proposed fundamental analysis-based approach to stock market forecasting. The fundamental analysis-based approach to stock market forecasting involves techniques such as calculating the weight of financial indicators, evaluating and selecting individual stocks, selecting financial news features, determining stock trading signals based on financial news, and forecasting stock price trend.
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