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For macroeconomic, the prosperity of the stock market has promoted the reasonable allocation of social resources and broaden the financing channels. For personal, the stock has provided investors with an excellent investment management approach. However, the investment of stock is the opportunity to achieve high returns with great investment risks. And how to avoid the disadvantages become the most concerned topics of broad investor. Based on company intrinsic value, the paper expounds the influence to share price according to company financial fundamentals. Using machine learning theory, this paper built a stock investment decision tree model through the ID3 algorithm. It can provide decision support for future investment through analysis current financial of the company and market situation.