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This paper starts from the financial indexes of the coal listed companies and use financial indexes which represent cash flow capacity, solvency, operational capability, profitability and development ability to predict share price by BP neural network. Firstly, the input variables are optimized by principal component analysis, and then the trained network is saved. Finally, the stock price of coal is forecasted, and the results are analyzed.

The share price trend prediction of China's coal listed companies - Based on PCA & BP neural network