Stock market movement forecast: A systematic review
O Bustos, A Pomares-Quimbaya - Expert Systems with Applications, 2020 - Elsevier
Achieving accurate stock market models can provide investors with tools for making better
data-based decisions. These models can help traders to reduce investment risk and select …
data-based decisions. These models can help traders to reduce investment risk and select …
Stock market one-day ahead movement prediction using disparate data sources
B Weng, MA Ahmed, FM Megahed - Expert Systems with Applications, 2017 - Elsevier
There are several commercial financial expert systems that can be used for trading on the
stock exchange. However, their predictions are somewhat limited since they primarily rely on …
stock exchange. However, their predictions are somewhat limited since they primarily rely on …
[PDF][PDF] Predicting stock market behavior using data mining technique and news sentiment analysis
AE Khedr, N Yaseen - International Journal of Intelligent Systems …, 2017 - mecs-press.org
Stock market prediction has become an attractive investigation topic due to its important role
in economy and beneficial offers. There is an imminent need to uncover the stock market …
in economy and beneficial offers. There is an imminent need to uncover the stock market …
Recent advances in stock market prediction using text mining: A survey
FS Alzazah, X Cheng - E-Business-Higher Education and …, 2020 - books.google.com
Market prediction offers great profit avenues and is a fundamental stimulus for most
researchers in this area. To predict the market, most researchers use either technical or …
researchers in this area. To predict the market, most researchers use either technical or …
Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning
Y Shynkevich, TM McGinnity, SA Coleman… - Decision Support …, 2016 - Elsevier
The market state changes when a new piece of information arrives. It affects decisions made
by investors and is considered to be an important data source that can be used for financial …
by investors and is considered to be an important data source that can be used for financial …
[HTML][HTML] Trading stocks based on financial news using attention mechanism
Sentiment analysis of news headlines is an important factor that investors consider when
making investing decisions. We claim that the sentiment analysis of financial news …
making investing decisions. We claim that the sentiment analysis of financial news …
[HTML][HTML] A hybrid model for stock price prediction based on multi-view heterogeneous data
W Long, J Gao, K Bai, Z Lu - Financial Innovation, 2024 - Springer
Literature shows that both market data and financial media impact stock prices; however,
using only one kind of data may lead to information bias. Therefore, this study uses market …
using only one kind of data may lead to information bias. Therefore, this study uses market …
[HTML][HTML] Consumer attention and company performance: Evidence from luxury companies
H Cheraghali, H Høydal, C Lysebo, P Molnár - Finance Research Letters, 2023 - Elsevier
Previous research has shown that investor attention, measured by Google searches for
company tickers, can predict companies' returns. However, for companies offering luxury …
company tickers, can predict companies' returns. However, for companies offering luxury …
Predicting stock price movements based on different categories of news articles
Y Shynkevich, TM McGinnity… - … symposium series on …, 2015 - ieeexplore.ieee.org
Publications of financial news articles impact the decisions made by investors and,
therefore, change the market state. It makes them an important source of data for financial …
therefore, change the market state. It makes them an important source of data for financial …
A time-varying stock portfolio selection model based on optimized PSO-BiLSTM and multi-objective mathematical programming under budget constraints
J Vaziri, D Farid, M Nazemi Ardakani… - Neural Computing and …, 2023 - Springer
Choosing the optimal portfolio is an ongoing challenging research area and a complex
process involving selecting the best investment plan according to various factors, such as …
process involving selecting the best investment plan according to various factors, such as …