Applied Sciences, 2022 The vigorous development of Time Series Neural Network in recent years has brought many potential possibilities to the application of financial technology.
Ming-Che Lee
doaj +1 more source
Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis [PDF]
International Journal of Research in Industrial Engineering, 2023 Investigating stock price trends and determining future stock prices have become focal points for researchers within the finance sector. However, predicting stock price trends is a complex task due to the multitude of influencing factors.
Milad Shahvaroughi Farahani +2 more
doaj +1 more source
Unveiling Ethereum’s Future: LSTM-Based Price Prediction and a Systematic Blockchain Analysis [PDF]
E3S Web of Conferences, 2023 Cryptocurrency has emerged as a revolutionary innovation that has been replacing traditional finances and enthralling the worldwide technology landscape.
Likhitha B. Bhavya +2 more
doaj +1 more source
A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD
Complexity, 2020 The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers.
Yang Yujun, Yang Yimei, Xiao Jianhua
doaj +1 more source
An improved deep learning model for soybean future price prediction with hybrid data preprocessing strategy [PDF]
Frontiers of Agricultural Science and EngineeringThe futures trading market is an important part of the financial markets and soybeans are one of the most strategically important crops in the world. How to predict soybean future price is a challenging topic being studied by many researchers. This paper
Dingya CHEN +3 more
doaj +1 more source
Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company [PDF]
SHS Web of Conferences, 2019 Accurate stock price prediction is very difficult in today's economy. Accurate prediction plays an important role in helping investors improve return on equity.
Horák Jakub, Krulický Tomáš
doaj +1 more source
Price, Complexity, and Mathematical Model
Mathematics, 2023 The whole world has entered the era of the Vuca. Some traditional methods of problem analysis begin to fail. Complexity science is needed to study and solve problems from the perspective of complex systems.
Na Fu, Liyan Geng, Junhai Ma, Xue Ding
doaj +1 more source
Prescriptive price optimization using optimal regression trees
Operations Research Perspectives, 2023 This paper is concerned with prescriptive price optimization, which integrates machine learning models into price optimization to maximize future revenues or profits of multiple items.
Shunnosuke Ikeda +3 more
doaj +1 more source
The Development of Prediction Indicators on Currency Market Using Neuro-Fuzzy Method [PDF]
E3S Web of Conferences, 2020 A technical indicator is an analysis instruments to help traders analyzing forex price movements through charts. Prediction indicators are artificial technical indicators that can help traders to analyse forex price movements in the future.
Limowa Lie Ronald +4 more
doaj +1 more source
Hybridizing data stream mining and technical indicators in automated trading systems [PDF]
, 2011 Automated trading systems for financial markets can use data mining techniques for future price movement prediction. However, classifier accuracy is only one important component in such a system: the other is a decision procedure utilizing the prediction
Mayo, Michael
core +1 more source