Hybrid Deep Generative and Sequential Learning Approach for Stock Market Prediction

Author:

Zhao Tuo,Wang Xinxue,Zhao Tingting,Wang Yuan,Chen Yarui,Yang Jucheng

Publisher

Springer Nature Singapore

Reference26 articles.

1. Sun, Q.: Research on Price Trend Forecasting Model of American Stock Index Based on LSTM Neural Network. Capital University of Economics and Trade (2016)

2. Hyndman, R.J., Athanasopoulos, G.: Forecasting: principles and practice. OTexts (2018)

3. Zhou, Z.: Machine Learning. Tsinghua University Press (2016)

4. Tong, Q., Zhang, K., Du, J.: Exponential smoothing forecasting method and its application in economic forecast. Econ. Res. Guide (4), 11–12, 74 (2013)

5. Li, C., Yang, B., Li, M.: Forecasting analysis of shanghai stock index based on ARIMA model. In: MATEC Web of Conferences, vol. 100, pp. 02029. EDP Sciences (2017)

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