[HTML][HTML] A review on recent advancements in forex currency prediction

MS Islam, E Hossain, A Rahman, MS Hossain… - Algorithms, 2020 - mdpi.com
In recent years, the foreign exchange (FOREX) market has attracted quite a lot of scrutiny
from researchers all over the world. Due to its vulnerable characteristics, different types of …

[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 …

Host load prediction in cloud computing with discrete wavelet transformation (dwt) and bidirectional gated recurrent unit (bigru) network

J Dogani, F Khunjush, M Seydali - Computer Communications, 2023 - Elsevier
Providing pay-as-you-go storage and computing services have contributed to the
widespread adoption of cloud computing. Using virtualization technology, cloud service …

CTFNet: Long-sequence time-series forecasting based on convolution and time–frequency analysis

Z Zhang, Y Chen, D Zhang, Y Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although current time-series forecasting methods have significantly improved the state-of-
the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have …

A hybrid model for financial time series forecasting—integration of EWT, ARIMA with the improved ABC optimized ELM

H Yu, LJ Ming, R Sumei, Z Shu** - IEEE Access, 2020 - ieeexplore.ieee.org
The practical significances and complexities of financial time series analysis induce highly
demand more reliable hybrid model that denoised the data efficiently, handled with both …

Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets

A Sadeghi, A Daneshvar, MM Zaj - Expert Systems with Applications, 2021 - Elsevier
Foreign exchange (Forex) market is the biggest currency exchange market in the world.
Existing trading systems in Forex markets based on technical analysis use crisp technical …

Can deep learning improve technical analysis of forex data to predict future price movements?

M Fisichella, F Garolla - Ieee Access, 2021 - ieeexplore.ieee.org
The foreign exchange market (Forex) is the world's largest market for trading foreign money,
with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated …

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 …

Traffic forecasting of back servers based on ARIMA-LSTM-CF hybrid model

E Yao, L Zhang, X Li, X Yun - International Journal of Computational …, 2023 - Springer
Accurate server traffic prediction can help enterprises formulate network resource allocation
strategies in advance and reduce the probability of network congestion. Traditional …

Can Clean Energy Stocks Predict Crude Oil Markets Using Hybrid and Advanced Machine Learning Models?

A Jarboui, E Mnif - Asia-Pacific Financial Markets, 2024 - Springer
The volatility of crude oil markets and the pressing need for sustainable energy solutions
have sparked significant interest in forecasting methodologies that can better capture market …