A Stock Price Prediction Method Based on Price Trend Curves

With the development of the social economy, the stock market has become an important component of the financial market. Real-time prediction of stock prices helps various stakeholders grasp the trends in social and economic development promptly, enabling them to make informed decisions. This paper proposes an improved KNN stock price prediction model based on price trend curves. This model takes into account the price trends over several preceding trading days when predicting the stock price for the current trading day, resulting in better predictive performance. Experimental analysis demonstrates that the improved KNN model yields predictions closer to actual stock prices compared to the logistic regression model and the traditional KNN model, showcasing superior predictive performance.