Abstract
Before the development of quantitative investment, investors only used qualitative investment to participate in the market. With the great development of information technology and computer technology, investment institutions can use emerging technologies to analyze and process data, apply mathematical models to the market, and execute them by computer instructions. This paper summarizes the research progress of applying machine learning technology to quantitative strategy, especially the influence of BP neural network on quantitative investment after stock selection.
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