Big data in forecasting research: a literature review

L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Pattern graph tracking-based stock price prediction using big data

S Jeon, B Hong, V Chang - Future Generation Computer Systems, 2018 - Elsevier
Stock price forecasting is the most difficult field owing to irregularities. However, because
stock prices sometimes show similar patterns and are determined by a variety of factors, we …

Research on Stock price prediction system based on BLSTM

S Hong - Journal of the Korea Convergence Society, 2020 - koreascience.kr
Artificial intelligence technology, which is the core of the 4th industrial revolution, is making
intelligent judgments through deep learning techniques and machine learning that it is …

A Research on stock price prediction based on Deep Learning and Economic Indicators

S Hong - Journal of Digital Convergence, 2020 - koreascience.kr
Macroeconomics are one of the indicators that are preceded and analyzed when analyzing
stocks because it shows the movement of a country's economy as a whole. The overall …

[PDF][PDF] Big data analysis in stock market prediction

P Modi, S Shah, H Shah - International Journal of Engineering …, 2019 - academia.edu
Big data analytics can be used in many domains for accurate prediction and analysis of the
large amount of data. They facilitate the discovery of significant information from large data …

ARIMA versus ANN—A comparative study of predictive modelling techniques to determine stock price

B Uma Maheswari, R Sujatha, S Fantina… - Proceedings of the …, 2021 - Springer
The stock market price is one of the best indicators to showcase economic status of a
country. As it is the concern of investors and the companies, there is a necessity to have a …

[PDF][PDF] Прогнозирование котировок фьючерсов на индекс РТС на основе машинного обучения

НВ Воинов, МК Ворошилов, СА Молодяков… - … мягким вычислениям и …, 2021 - scm.etu.ru
Работа посвящена исследованию методов машинного обучения для прогнозирования
котировок финансовых инструментов. Проведен обзор наиболее распространенных …

Stock option pricing by augmented monte-carlo simulation models

J Seifoddini - Advances in Mathematical Finance and Applications, 2021 - amfa.arak.iau.ir
Studying stock options is still a pristine area of research in the Iranian capital market. This is
due to the lack of data as well as the complexity of valuation methodologies. In the present …

A Time Series Analysis of Trends With Twitter Hashtags Using LSTM

MB Shams, MJ Hossain… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Social media has converged into our everyday life in such a way that from lifestyle to our
behaviors, we follow the social media immensely. The influence of social media is easily …

Application programming interface for flood forecasting from geospatial big data and crowdsourcing data

S Puttinaovarat, P Horkaew - 2019 - learntechlib.org
Nowadays, natural disasters tend to increase and become more severe. They do affect life
and belongings of great numbers of people. One kind of such disasters that hap-pen …