Deep Learning techniques for stock market forecasting: Recent trends and challenges
Stock market forecasting has been a very intensive area of research in recent years due to
the highly uncertain and volatile nature of stock data which makes this task challenging. By …
the highly uncertain and volatile nature of stock data which makes this task challenging. By …
[PDF][PDF] Forecasting stock price movement direction by machine learning algorithm
Forecasting stock price movement direction (SPMD) is an essential issue for short-term
investors and a hot topic for researchers. It is a real challenge concerning the efficient …
investors and a hot topic for researchers. It is a real challenge concerning the efficient …
Modeling stock market using new hybrid intelligent method based on MFNN and IBHA
W Gao - Soft Computing, 2022 - Springer
Based on the basic principles of system dynamics, the mathematic description for the stock
market evolution which is a typical complicated dynamic system is provided. And according …
market evolution which is a typical complicated dynamic system is provided. And according …
[HTML][HTML] Application of machine learning algorithms in the domain of financial engineering
X Liu, S Salem, L Bian, JT Seong… - Alexandria Engineering …, 2024 - Elsevier
Financial engineering is crucial for effectively combining finance with quantitative
approaches. This study aims to forecast the performance of the Nasdaq stock market by …
approaches. This study aims to forecast the performance of the Nasdaq stock market by …
Stock Market Prediction Using Deep Attention Bi-directional Long Short-Term Memory
Trustworthy predictions of future stock can promote significant profits, and it has attracted
several financial analysts and investors. Accuracy suffers when more features are added …
several financial analysts and investors. Accuracy suffers when more features are added …
Optimization of Stock Predictions on Indonesia Stock Exchange: A New Hybrid Deep Learning Method
BY Dwiandiyanta, R Hartanto, R Ferdiana - Engineering, Technology & …, 2025 - etasr.com
This study presents a new method for predicting stock prices on the Indonesia Stock
Exchange (IDX) using a hybrid deep learning model. The proposed model combines …
Exchange (IDX) using a hybrid deep learning model. The proposed model combines …
[PDF][PDF] Trend of the spread of COVID-19 in Indonesia using the machine learning prophet algorithm
Based on information on the BNPB website on 2 September 2020, the positive rate for
coronavirus disease (COVID-19) in Indonesia reached 25.25% on 30 August 2020. This is a …
coronavirus disease (COVID-19) in Indonesia reached 25.25% on 30 August 2020. This is a …
[PDF][PDF] Amazigh part-of-speech tagging with machine learning and deep learning
O Maarouf, R El Ayachi, M Biniz - Indonesian Journal of Electrical …, 2021 - academia.edu
Natural language processing (NLP) is a part of artificial intelligence that dissects,
comprehends, and changes common dialects with computers in composed and spoken …
comprehends, and changes common dialects with computers in composed and spoken …
[PDF][PDF] 'Bitcoin price prediction and recommendation system using deep learning techniques and Twitter sentiment analysis
G Singh, BT Indra - Int. Res. J. Eng. Technol.(IRJET), 2023 - academia.edu
Prediction of bitcoin market trends is one of the important tasks that need dedicated attention
as predicting bitcoin prices successfully leads to attractive profits by making the proper …
as predicting bitcoin prices successfully leads to attractive profits by making the proper …
Forecasting Ability of Hybrid Methods on an Example of Stock Prices Forecast using ARIMA/LTSM
N Sizykh, E Orshanskaya… - 2022 15th International …, 2022 - ieeexplore.ieee.org
The paper presents the research results of the predictive ability of stock quote forecasting
models using the ARIMA/LSTM hybrid model. This study is based on a predictive power …
models using the ARIMA/LSTM hybrid model. This study is based on a predictive power …