Stock Price Prediction in the Financial Market Using Machine Learning Models
This paper presents an analysis of stock price forecasting in the financial market, with an emphasis on approaches based on time series models and deep learning techniques. Fundamental concepts of technical analysis are explored, such as exponential and simple averages, and various global indices ar...
Saved in:
| Main Authors: | Diogo M. Teixeira, Ramiro S. Barbosa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/13/1/3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Hybrid LSTM-GRU Model for Stock Price Prediction
by: Amirfarhad Farhadi, et al.
Published: (2025-01-01) -
S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis
by: Shengting Wu, et al.
Published: (2022-12-01) -
Key technical indicators for stock market prediction
by: Seyed Mostafa Mostafavi, et al.
Published: (2025-06-01) -
Stock Price Forecasting in Iran Stock Market: A Comparative Analysis of Deep-learning Approaches
by: Faraz Bodaghi, et al.
Published: (2023-07-01) -
Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN
by: Osman Eldoğan, et al.
Published: (2024-08-01)