Using ARIMA and LSTM to Implement Stock Market Analysis
Author:
Affiliation:
1. Lovely Professional University,Computer Science And Engineering,Punjab,India
2. Lovely Professional University,Compute Science And Engineering,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10084915/10084919/10085405.pdf?arnumber=10085405
Reference13 articles.
1. A Comparative Study of Deep Neural Network and Statistical Models for Stock Price Prediction
2. Stock Prediction by Analyzing the Past Market Trend
3. Stock Price Prediction using LSTM and ARIMA
4. Recurrent Neural Networks Approach to the Financial Forecast of Google Assets;persio;International Journal of Mathematics and Computers in Simulation,2017
5. Stock Market Trend Prediction Using High-Order Information of Time Series
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1. An Innovative Deep Learning Futures Price Prediction Method with Fast and Strong Generalization and High-Accuracy Research;Applied Sciences;2024-06-27
2. Random Forest Method Based Research on the Anxiety Differences of Different Investors Facing Financial Product Default;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27
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