An Approach to Find the Point of Buying Stock Based on Big Data

Source:
By:Yao Fu, Congdian Cheng, Lizhu Wang

DOI: https://doi.org/10.30564/jbar.v3i2.1811

Abstract:

It is a research subject that has attracted a wide concern and study for a long time to find a suitable trading point of stock. From the views of big data and quantization technique, the paper tries to propose an approach, through the form of algorithm, based on big data analysis and linear weighted moving average curve, to find the point of buying stock, so that the trader would like to achieve the expected profit with a higher probability; and makes the digital experiment to further explain the approach and verify its performance. This work can promote the development of big data research and quantization technique, and can also provide a certain reference method for the trader making the technology analysis of the trade.

References:

[1]D. W. Tian. An Empirical Study on the Effect of the Split Share Reform on the Effectiveness of China’s Stock Market[J]. Finance & Economy, 2017(04): 144-147. [2]S. Wang, J. Z. Qiao. Forecasting stock price by Markov Chain:Take Yili Group as the instance[J]. Inner Mongolia Statistics, 2017(04): 7-9. [3]X. K. Li. Correlation analysis of Shanghai and Shenzhen stock markets based on Copula function[J]. Journal of Shaanxi University of Technology, 2017, 33(06): 75-81. [4]X. L. Ren, Y. K. Xiao, W. Y. Sun. Volatility Spillover Effect Between International Energy Market and Chinese Stock Market[J]. Journal of Ocean University of China, 2018(06): 65-71. [5]R. W. Lin, Y. Yang. Stock Market Trend Prediction: Based on Multi-Dimensional Cross-Validation Method[J]. Journal of Shanghai University of Internatinal Business and Economic, 2018, 25(06): 40-49. [6] X. P. Teng, W. Zheng. Deep Multiple Regression Model for Stock Price Trend Foreca-sting[J]. Economic Research Guide, 2019(21): 71-74. [7] B. J. Chen, W. J. Chen. Research on Moving Average Analysis and Its Trading Strategy[J]. Commercial Research, 2015(07): 73-79. [8] B. B. Sun. Are Moving Average Rules Profitable? Evidence from Shanghai Composite Index[J]. The Journal of Quantitative & Technical Economics, 2005(02): 149-156. [9] C. Y. Wang. Research on the effectiveness of trend investment in Shanghai share market and Shenzhen share market: A strategy based on the moving average[J]. Business Economy, 2019(09): 178-180. [10] X. X. Xu, L. Z. Wang, C. D. Cheng. A Method of Finding Stock Buying Point Based onMoving Average Price and Big Data Analysis[J]. Statistics and Application, 2020, 9(1): 1-6.