An Approach to Find the Point of Buying Stock Based on Big Data
Since China developed its stock market, the scale has continuously expanded, the number of quoted companies has steadily increased. As the institutional construction has gradually perfected, the participants have become more and more. By the development of many years, now the stock market has become an important pillar of China's socialist economy with Chinese characteristics, which extremely adapts to the development of China's economy, and greatly promotes its prosperity, development and stability. The trade of stock has also become a major investment channel for China's people. Stock market is a huge complex system. A lot of theoretical work is needed to do for how to effectively build the system. Therefore, the China's stock market has received extensive attention and research since it came into being in the 1990s. For example, D.W.Tian discussed whether the reform of the divisional of stock right has an impact on the effectiveness of China's stock market, which provided a reference for the formulating of relevant policies. S.Wang et al. predicted the feasibility of changes of stock price by Markov chain . X.K.Li used the Copula function to analyze the correlation of Shanghai stock market and Shenzhen stock market. X.L.Ren et al. argued the spillover effect of fluctuations between international energy market and China's stock market, as well make an empirical analysis. R.W.Lin et al., based on multi-dimensional interactive verification, tried to predict the trend of the stock market from multiple dimensions and tested the method by establishing a relevant model. X.P.Teng et al. proposed a method of predicting stock price trend based on the deep multiple regression model.
The moving average is often used to show the average level of historical fluctuations of stock prices, thus, to a certain extent, reflects the future development trend of stock prices. Therefore moving averages are an important tool for the technical analysis of stock trade, and it is an important aspect of the research area of stock market to explore buying point and selling point from the moving averages. B.J.Chen et al. analyzed the effectiveness of trading based on moving averages by designing two indicators, namely the prediction accuracy of the combination of buying point and selling point, and the cumulative rate of return. B.B.Sun tested whether the moving average has the ability to obtain excess profits. C.Y.Wang based on the theory of moving average analyzed the effectiveness of trend investment in the stock market.
DOI: https://doi.org/10.30564/jbar.v3i2.1811
The moving average is often used to show the average level of historical fluctuations of stock prices, thus, to a certain extent, reflects the future development trend of stock prices. Therefore moving averages are an important tool for the technical analysis of stock trade, and it is an important aspect of the research area of stock market to explore buying point and selling point from the moving averages. B.J.Chen et al. analyzed the effectiveness of trading based on moving averages by designing two indicators, namely the prediction accuracy of the combination of buying point and selling point, and the cumulative rate of return. B.B.Sun tested whether the moving average has the ability to obtain excess profits. C.Y.Wang based on the theory of moving average analyzed the effectiveness of trend investment in the stock market.
DOI: https://doi.org/10.30564/jbar.v3i2.1811
