A Comparative Study of Machine Learning Approaches for Stock Price Forecasting
Author:
Affiliation:
1. SVKM’s NMIMS, MPSTME,Information Technology Department,Shirpur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10424963/10425791/10426471.pdf?arnumber=10426471
Reference16 articles.
1. Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
2. Knowledge graph and deep learning combined with a stock price prediction network focusing on related stocks and mutation points
3. Review of graph construction and graph learning in stock price prediction;Wanga
4. Multi-Model Generative Adversarial Network Hybrid Prediction Algorithm (MMGAN-HPA) for stock market prices prediction
5. COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction
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