A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization

A Thakkar, K Chaudhari - Archives of Computational Methods in …, 2021 - Springer
Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …

[HTML][HTML] A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis

TN Pandey, AK Jagadev, S Dehuri, SB Cho - Journal of King Saud …, 2020 - Elsevier
Prediction of currency exchange rate becomes highly desirable due to its greater role in
financial and managerial decision making process. The fluctuations in exchange rate affect …

Exploiting investors social network for stock prediction in China's market

X Zhang, J Shi, D Wang, B Fang - Journal of computational science, 2018 - Elsevier
Recent works have shown that social media platforms are able to influence the trends of
stock price movements. However, existing works have major focused on the US stock market …

Application of an artificial neural network for the improvement of agricultural drainage water quality using a submerged biofilter

MM Abdel Daiem, A Hatata, EH El-Gohary… - … Science and Pollution …, 2021 - Springer
Artificial neural network (ANN) mathematical models, such as the radial basis function
neural network (RBFNN), have been used successfully in different environmental …

An improved Elman network for stock price prediction service

B Liu, Q Wu, Q Cao - Security and Communication Networks, 2020 - Wiley Online Library
The rapid development of edge computing drives the rapid development of stock market
prediction service in terminal equipment. However, the traditional prediction service …

Performance of Machine Learning Techniques Before and After COVID-19 on Indian Foreign Exchange Rate

TN Pandey, RR Mahakud, B Patra, PK Giri… - … Inspired Techniques in …, 2022 - Springer
The FOREX marketplace has seen sudden boom during last couple of decades. The
changes carry out a critical function in balancing the dynamics of the marketplace. As a …

A review and empirical analysis of neural networks based exchange rate prediction

TN Pandey, AK Jagadev, S Dehuri… - Intelligent Decision …, 2018 - content.iospress.com
Financial time series data is very chaotic, noisy, fluctuating and nonlinear as different events
have occurred in various time periods. Therefore, it is very challenging for researchers to …

Long-Short Term Memory Based Stock Market Analysis

S Choudhury, S Basak, S Roy… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Stock market Prediction has been a source of much interest and challenge in financial
markets for a long time. In this study we shall investigate the use of long term and short term …

[PDF][PDF] Predicting Stock Prices Using Hybrid LSTM and ARIMA Model.

C Ma, J Wu, H Hu, YN Chen, JY Li - IAENG International Journal of …, 2024 - iaeng.org
With the continuous development of China's financial market and the gradual improvement
of the financial system, investors are increasingly interested in participating in investments …

[PDF][PDF] Empirical analysis of machine learning techniques for prediction of indian exchange rate

T Nadu - researchgate.net
Throughout the past few decades, there has been a dramatic surge in the currency market.
The changes play an important role in balancing the market's characteristics. As a result …