A Long Short-Term Memory Approach Towards Stock Selection and Portfolio Optimization

Author:

Mahlawat Sumit,Prabhakar Utkarsh,Goyal Nishank,Parth Praket,Ramamohan Varun

Publisher

Elsevier BV

Reference51 articles.

1. An incremental learning approach for stock price prediction using support vector regression;R Abirami;International Journal of Research and Reviews in Artificial intelligence (IJRRAI),2011

2. Combining heterogeneous classifiers for stock selection. Intelligent Systems in Accounting;G Albanis;Finance & Management: International Journal,2007

3. Modaugnet: A new forecasting framework for stock market index value with an overfitting prevention lstm module and a prediction lstm module;Y Baek;Expert Systems with Applications,2018

4. A deep learning framework for financial time series using stacked autoencoders and long-short term memory;W Bao;PLoS one,2017

5. Can we learn to beat the best stock;A Borodin;Advances in Neural Information Processing Systems,2004

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