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 …
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' …
investors. They can utilize text mining and sentiment analysis techniques to reflect investors' …
Learning-enabled multi-modal motion prediction in urban environments
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 …
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
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 …
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
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 …
an investment vehicle. Given the market's inherent volatility, accurate forecasting becomes …
A forecasting approach to cryptocurrency price index using reinforcement learning
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 …
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
The inherent challenges of financial time series forecasting demand advanced modeling
techniques for reliable predictions. Effective financial time series forecasting is crucial for …
techniques for reliable predictions. Effective financial time series forecasting is crucial for …
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data
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 …
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 …
asset for investment portfolios. However, investing in cryptocurrencies comes with risks …
Advanced Cryptocurrency Price Prediction: Incorporating Time-Reversed ARIMA and BVIC
The highly volatile nature of cryptocurrencies, particularly Bitcoin, exhibits extreme price
volatility, making accurate price prediction a challenging task for traditional forecasting …
volatility, making accurate price prediction a challenging task for traditional forecasting …