Financial time series forecasting with the deep learning ensemble model

K He, Q Yang, L Ji, J Pan, Y Zou - Mathematics, 2023 - mdpi.com
With the continuous development of financial markets worldwide to tackle rapid changes
such as climate change and global warming, there has been increasing recognition of the …

Stock trend prediction using sentiment analysis

Q **ao, B Ihnaini - PeerJ Computer Science, 2023 - peerj.com
These days, the vast amount of data generated on the Internet is a new treasure trove for
investors. They can utilize text mining and sentiment analysis techniques to reflect investors' …

Learning-enabled multi-modal motion prediction in urban environments

V Trentin, C Ma, J Villagra… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is
fundamental in order to assure safety while navigating through highly interactive complex …

Cryptocurrency price fluctuation and time series analysis through candlestick pattern of bitcoin and ethereum using machine learning

G Kapur, S Manohar, A Mittal, V Jain… - International Journal of …, 2024 - emerald.com
Purpose Candlestick charts are a key tool for the technical analysis of cryptocurrency price
fluctuations. It is essential to examine trends in the time series of a financial asset when …

Prediction of bitcoin stock price using feature subset optimization

S Singh, A Pise, B Yoon - Heliyon, 2024 - cell.com
In light of recent cryptocurrency value fluctuations, Bitcoin is gradually gaining recognition as
an investment vehicle. Given the market's inherent volatility, accurate forecasting becomes …

A forecasting approach to cryptocurrency price index using reinforcement learning

LT Mariappan, JA Pandian, VD Kumar, O Geman… - Applied Sciences, 2023 - mdpi.com
Cryptocurrency has emerged as a well-known significant component with both economic
and financial potential in recent years. Unfortunately, Bitcoin acquisition is not simple, due to …

[HTML][HTML] LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting

MR Kabir, D Bhadra, M Ridoy, M Milanova - Sci, 2025 - mdpi.com
The inherent challenges of financial time series forecasting demand advanced modeling
techniques for reliable predictions. Effective financial time series forecasting is crucial for …

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data

MH Santriaji, J Xue, Q Lou, Y Solihin - arxiv preprint arxiv:2410.15215, 2024 - arxiv.org
Fully Homomorphic Encryption (FHE) allows computations to be performed directly on
encrypted data without needing to decrypt it first. This" encryption-in-use" feature is crucial …

Utilizing Artificial Intelligence in Cryptocurrency Trading: a Literature Review

N Tungdajahirun, W Makasiranondh… - 2023 7th …, 2023 - ieeexplore.ieee.org
The rapid growth and unique advantages of cryptocurrencies have made them an attractive
asset for investment portfolios. However, investing in cryptocurrencies comes with risks …

Advanced Cryptocurrency Price Prediction: Incorporating Time-Reversed ARIMA and BVIC

MT Luc, R Senkerik, TK Dang - 2025 19th International …, 2025 - ieeexplore.ieee.org
The highly volatile nature of cryptocurrencies, particularly Bitcoin, exhibits extreme price
volatility, making accurate price prediction a challenging task for traditional forecasting …