Predicting stock market movements using neural networks: a review and application study
In the rapidly evolving landscape of financial markets, the quest for accurate stock market
predictions has never been more critical. This paper delves into the transformative potential …
predictions has never been more critical. This paper delves into the transformative potential …
Artificial intelligence methodologies for data management
This study analyses the main challenges, trends, technological approaches, and artificial
intelligence methods developed by new researchers and professionals in the field of …
intelligence methods developed by new researchers and professionals in the field of …
LSTM based stock prediction using weighted and categorized financial news
S Usmani, JA Shamsi - PloS one, 2023 - journals.plos.org
A significant correlation between financial news with stock market trends has been explored
extensively. However, very little research has been conducted for stock prediction models …
extensively. However, very little research has been conducted for stock prediction models …
StockGAN: robust stock price prediction using GAN algorithm
M Diqi, ME Hiswati, AS Nur - International Journal of Information …, 2022 - Springer
Stock market predictions help investors benefit in the financial markets. Various papers have
proposed different techniques in stock market forecasting, but no model can provide …
proposed different techniques in stock market forecasting, but no model can provide …
Using market news sentiment analysis for stock market prediction
MP Cristescu, RA Nerisanu, DA Mara, SV Oprea - Mathematics, 2022 - mdpi.com
(1) Background: Since the current crises that has inevitably impacted the financial market,
market prediction has become more crucial than ever. The question of how risk managers …
market prediction has become more crucial than ever. The question of how risk managers …
Enhancing Bitcoin Price Volatility Estimator Predictions: A Four-Step Methodological Approach Utilizing Elastic Net Regression
G Zournatzidou, I Mallidis, D Farazakis, C Floros - Mathematics, 2024 - mdpi.com
This paper provides a computationally efficient and novel four-step methodological
approach for predicting volatility estimators derived from bitcoin prices. In the first step, open …
approach for predicting volatility estimators derived from bitcoin prices. In the first step, open …
Predicting stock market movements using neural networks: A review and application study
In the rapidly evolving landscape of financial markets, the quest for accurate stock market
predictions has never been more critical. This paper delves into the transformative potential …
predictions has never been more critical. This paper delves into the transformative potential …
How's Business Going Worldwide? A Multilingual Annotated Corpus for Business Relation Extraction
H Khaldi, F Benamara, G Siegel… - 13th Conference …, 2022 - ut3-toulouseinp.hal.science
The business world has changed due to the 21 st century economy, where borders have
melted and trades became free. Nowadays, competition is no longer only at the local market …
melted and trades became free. Nowadays, competition is no longer only at the local market …
Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight BERT
The accuracy of many natural language processing (NLP) tasks has been significantly
improved with the development of deep learning and Transformer-based pre-trained models …
improved with the development of deep learning and Transformer-based pre-trained models …
[PDF][PDF] A closer look to your business network: Multitask relation extraction from economic and financial french content
Online textual content constitutes a valuable source of information for market stakeholders,
enabling them to unveil their business network's most important operations and interactions …
enabling them to unveil their business network's most important operations and interactions …