A systematic review of fundamental and technical analysis of stock market predictions

IK Nti, AF Adekoya, BA Weyori - Artificial Intelligence Review, 2020 - Springer
The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …

S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis

S Wu, Y Liu, Z Zou, TH Weng - Connection Science, 2022 - Taylor & Francis
Stocks price prediction is a current hot spot with great promise and challenges. Recently,
there have been many stock price prediction methods. However, the prediction accuracy of …

Which sentiment index is more informative to forecast stock market volatility? Evidence from China

C Liang, L Tang, Y Li, Y Wei - International Review of Financial Analysis, 2020 - Elsevier
In this paper, we investigate the predictive ability of three sentiment indices constructed by
social media, newspaper, and Internet media news to forecast the realized volatility (RV) of …

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

IK Nti, AF Adekoya, BA Weyori - Journal of Big data, 2021 - Springer
The stock market is very unstable and volatile due to several factors such as public
sentiments, economic factors and more. Several Petabytes volumes of data are generated …

Investigating the informativeness of technical indicators and news sentiment in financial market price prediction

SA Farimani, MV Jahan, AM Fard… - Knowledge-Based …, 2022 - Elsevier
Real-time market prediction tool tracking public opinion in specialized newsgroups and
informative market data persuades investors of financial markets. Previous works mainly …

Stock market prediction of Nifty 50 index applying machine learning techniques

Z Fathali, Z Kodia, L Ben Said - Applied Artificial Intelligence, 2022 - Taylor & Francis
The stock market is viewed as an unpredictable, volatile, and competitive market. The
prediction of stock prices has been a challenging task for many years. In fact, many analysts …

Emotions trump facts: The role of emotions in on social media: A literature review

H Hyvärinen, R Beck - 2018 - scholarspace.manoa.hawaii.edu
Emotions are an inseparable part of how people use social media. While a more cognitive
view on social media has initially dominated the research looking into areas such as …

Understanding the role of social media sentiment in identifying irrational herding behavior in the stock market

T Li, H Chen, W Liu, G Yu, Y Yu - International Review of Economics & …, 2023 - Elsevier
This study examined the role of social media sentiment in identifying irrational herding
behavior in the stock market. We selected the Chinese stock market, where majority are …

[HTML][HTML] Buzzwords build momentum: Global financial Twitter sentiment and the aggregate stock market

A Groß-Klußmann, S König, M Ebner - Expert Systems with Applications, 2019 - Elsevier
We examine the long-term relationship between signals derived from nine years of
unstructured social media microblog text data and financial market developments in five …

Forecasting stock price movements with multiple data sources: Evidence from stock market in China

Z Zhou, M Gao, Q Liu, H Xiao - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
We employ multiple heterogeneous data sources, including historical transaction data,
technical indicators, stock posts, news and Baidu index, to predict the directions of stock …