Decision Fusion for Stock Market Prediction: A Systematic Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195942
Abstract: Stock market prediction based on machine or deep learning is an essential topic in the financial community. Typically, models with different structures or initializations provide different forecasts of the same response variable. In such cases,… read more here.
Keywords: market prediction; decision fusion; fusion; stock market ... See more keywords
A Survey on Impact of Bio-inspired Computation on Stock Market Prediction
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Engineering Science and Technology Review"
DOI: 10.25103/jestr.103.15
Abstract: Financial forecasting is one of the imperative fields of research, where investors invest money and get restless for the future changes of the stock values in the market. In the recent course of time forecasting… read more here.
Keywords: bio inspired; market; stock market; market prediction ... See more keywords
An ARIMA- LSTM Hybrid Model for Stock Market Prediction Using Live Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Engineering Science and Technology Review"
DOI: 10.25103/jestr.134.11
Abstract: The stock market is a highly volatile industry with ever changing bull (rise) and bear (fall) trends. This paper proposes a new hybrid model using Long ShortTerm Memory (LSTM), a Recurrent Neural Network (RNN) technique… read more here.
Keywords: stock market; market prediction; stock; hybrid model ... See more keywords