From prediction to profit: A comprehensive review of cryptocurrency trading strategies and price forecasting techniques

S Otabek, J Choi - IEEE Access, 2024 - ieeexplore.ieee.org
The rapid evolution of cryptocurrency markets and the increasing complexity of trading
strategies necessitate a comprehensive understanding of price-prediction models and their …

Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared

O Omole, D Enke - Financial Innovation, 2024 - Springer
This paper applies deep learning models to predict Bitcoin price directions and the
subsequent profitability of trading strategies based on these predictions. The study …

The prediction of wheat yield in the North China Plain by coupling crop model with machine learning algorithms

Y Zhao, D Xiao, H Bai, J Tang, DL Liu, Y Qi, Y Shen - Agriculture, 2022 - mdpi.com
The accuracy prediction for the crop yield is conducive to the food security in regions and/or
nations. To some extent, the prediction model for crop yields combining the crop mechanism …

Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS

G Zhang, SNAB Roslan, HZM Shafri, Y Zhao… - Scientific Reports, 2024 - nature.com
To obtain seasonable and precise crop yield information with fine resolution is very
important for ensuring the food security. However, the quantity and quality of available …

Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review

A Kaur, GS Randhawa, F Abbas, M Ali, TJ Esau… - IEEE …, 2024 - ieeexplore.ieee.org
Agriculture can ensure food security and enhance monetary benefits if practiced with
modern technologies and supported with artificial intelligence (AI). Modern advancements in …

Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks

L Bacco, L Petrosino, D Arganese, L Vollero… - IEEE …, 2024 - ieeexplore.ieee.org
The investigation focused on the prediction of stock prices amidst significant macroeconomic
and geopolitical volatility, particularly targeting North-American and European banks in …

Price Prediction of Bitcoin Based on Adaptive Feature Selection and Model Optimization

Y Zhu, J Ma, F Gu, J Wang, Z Li, Y Zhang, J Xu, Y Li… - Mathematics, 2023 - mdpi.com
Bitcoin is one of the most successful cryptocurrencies, and research on price predictions is
receiving more attention. To predict Bitcoin price fluctuations better and more effectively, it is …

Evaluation of wheat yield in North China Plain under extreme climate by coupling crop model with machine learning

H Bai, D Xiao, J Tang, D Li Liu - Computers and Electronics in Agriculture, 2024 - Elsevier
Assessing the impact of climate extremes on crop production is an important prerequisite for
exploring agronomic practices to deal with changing climate. Process-based crop models …

Next step for bitcoin: Confluence of technical indicators and machine learning.

D Máté, H Raza, I Ahmad, S Kovács - Journal of International Studies …, 2024 - ceeol.com
Cryptocurrencies are quickly becoming a key tool in investment decisions. The volatile
nature of bitcoin prices has spurred the demand for robust predictive models. The primary …

Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin price

MS Farahani, S Babaei, ZS Kharazan, A Bai… - Journal of Modelling in …, 2024 - emerald.com
Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin
price | Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish …