Machine learning for stock market forecasting: a review of models and accuracy
DI Ajiga, RA Adeleye, TS Tubokirifuruar… - Finance & Accounting …, 2024 - fepbl.com
As financial markets become increasingly complex and dynamic, the application of machine
learning (ML) techniques for stock market forecasting has garnered significant attention. This …
learning (ML) techniques for stock market forecasting has garnered significant attention. This …
Data driven artificial neural network LSTM hybrid predictive model applied for international stock index prediction
A Safari - 2022 8th International Conference on Web Research …, 2022 - ieeexplore.ieee.org
In this paper, a neural network long short term memory hybrid model focusing on stock index
forecasting is modeled, presented, and investigated. This model is tuned by artificial …
forecasting is modeled, presented, and investigated. This model is tuned by artificial …
A Stock Market Prediction Model Based on Deep Learning Networks
SM Beheshti Masalegou… - Journal of System …, 2022 - sjsm.shiraz.iau.ir
Accurate stock market prediction can assist in an efficient portfolio and risk management.
However, accurately predicting stock price trends still is an elusive goal, not only because …
However, accurately predicting stock price trends still is an elusive goal, not only because …
Analisis Risiko Investasi dan Prediksi Saham Menggunakan Algortime Machine Learning
W Hastomo - Jurnal Ilmiah Komputasi, 2022 - ejournal.jak-stik.ac.id
Penelitian ini bertujuan untuk analisa risiko dan korelasi antar saham dengan menghitung
return harian menggunakan metode moving average (MA). Selain itu dengan dataset dari 2 …
return harian menggunakan metode moving average (MA). Selain itu dengan dataset dari 2 …
[引用][C] A Stock Market Prediction Model Based on Deep Learning Networks
MA Afshar-Kazemie, JH Monfared, A Rezaeian - jsm, 2022