Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis

M Ayitey Junior, P Appiahene, O Appiah, CN Bombie - Journal of Big Data, 2023 - Springer
Background When you make a forex transaction, you sell one currency and buy another. If
the currency you buy increases against the currency you sell, you profit, and you do this …

[HTML][HTML] Foreign exchange currency rate prediction using a GRU-LSTM hybrid network

MS Islam, E Hossain - Soft Computing Letters, 2021 - Elsevier
The foreign exchange (FOREX) market is one of the biggest financial markets in the world.
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …

Machine learning with Belief Rule-Based Expert Systems to predict stock price movements

E Hossain, MS Hossain, PO Zander… - Expert Systems with …, 2022 - Elsevier
Price prediction of financial assets has been a key interest for researchers over the decades.
Numerous techniques to predict the price movements have been developed by the …

Comparative analysis of recurrent neural networks in stock price prediction for different frequency domains

P Dey, E Hossain, MI Hossain, MA Chowdhury… - Algorithms, 2021 - mdpi.com
Investors in the stock market have always been in search of novel and unique techniques so
that they can successfully predict stock price movement and make a big profit. However …

A systematic survey of AI models in financial market forecasting for profitability analysis

BHA Khattak, I Shafi, AS Khan, ES Flores… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets,
capable of reducing investment risks and aiding in selecting highly profitable stocks by …

A novel deep learning approach to predict air quality index

E Hossain, MAU Shariff, MS Hossain… - … Conference on Trends in …, 2020 - Springer
In accordance with the World Health Organization's instruction, the air quality in Bangladesh
is considered perilous. A productive and precise air quality index (AQI) is a must and one of …

Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience

D Alaminos, MB Salas… - Humanities and Social …, 2023 - nature.com
The foreign exchange markets, renowned as the largest financial markets globally, also
stand out as one of the most intricate due to their substantial volatility, nonlinearity, and …

Excitation–emission matrix fluorescence spectroscopy for cell viability testing in UV-treated cell culture

K Głowacz, S Skorupska, I Grabowska-Jadach… - RSC …, 2022 - pubs.rsc.org
Monitoring of cells viability is essential in a number of biomedical applications, including cell-
based sensors, cell-based microsystems, and cell-based assays. The use of spectroscopic …

Predicting Forex Currency Fluctuations Using a Novel Bio-Inspired Modular Neural Network

C Bormpotsis, M Sedky, A Patel - Big Data and Cognitive Computing, 2023 - mdpi.com
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks
(CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However …

Money Management for Trading Strategies

K Malathong, J Konpang… - 2023 International …, 2023 - ieeexplore.ieee.org
Investors generally focus primarily on trading algorithms and not on money management,
causing their portfolios to be seriously damaged when things go wrong. In this research …