基于神经网络股票预测的研究

THE STUDY OF STOCK PRICE PREDICTION BASED ON NEURAL NETWORK

利用股票市场的理论和神经网络的BP算法来预测股票价格.先对股票进行基本面的分析,再对股票进行技术面的分析.运用技术分析的技术指标和神经网络优势,对股票进行大数据量的训练,使得模型可靠,再对股票进行测试.从实验的效果来看,取得令人满意的效果.

Making use of the stock market theory and the neural networks BP algorithm, we can forecast the stock price. First, we carry out the fundamental analysis on stock, then carry out technical analysis soft and floury on stock again. Using the analytical technology index and neural networks advantage wielding a technology, we carry out big data amount training, make feasible model on stock reliable, carry out a testing on stock again. Judging from the experiment effect, we get satisfactory effect.