Abstract
In the development of social and economic construction, the stock as an important financial instrument, after the recent decades of regional pilot and nationwide expansion, the stock market supervision mechanism and trading principles have become more and more perfect, the level of our capital market has become more and more rich, the overall scale has expanded rapidly. In order to make investors understand the changes of macro market environment faster and reduce the threshold of investors' investment and trading, stock exchanges and some financial service institutions put forward to use artificial intelligence algorithm to build a prediction system on the basis of integrating the accumulated experience in the past. Based on the research of financial stock curve prediction in recent years, this paper proposes a neural network system for stock market prediction. The final experimental results show that BP neural network can make short-term prediction of the stock market. As long as the appropriate prediction model is selected, it can get more than the average market profit level.
Published Version
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