BiCuDNNLSTM-1dCNN—A hybrid deep learning-based predictive model for stock price prediction
Within last decade, the investing habits of people is rapidly increasing towards stock market.
The nonlinearity and high volatility of stock prices have made it challenging to predict stock …
The nonlinearity and high volatility of stock prices have made it challenging to predict stock …
An interpretable intuitionistic fuzzy inference model for stock prediction
Stock price prediction and modeling demonstrate high economic value in the financial
market. Due to the non-linearity and volatility of stock prices and the unique nature of …
market. Due to the non-linearity and volatility of stock prices and the unique nature of …
E-Commerce: Stock Market Analysis Blended With Mining and Ann
YL Cai, K Kannan, YH Xie… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Ever since the advent of the financial industry, experts have attempted to create systems to
track and analyze trends in the stock market. These systems have not suitably predicted …
track and analyze trends in the stock market. These systems have not suitably predicted …
Methodical Aspects of Adequate Basket Formation of Ukrainian Stock Indices
O Khadartsev - Науковий журнал «Економіка і регіон», 2019 - journals.nupp.edu.ua
Introduction. The dynamics of the stock indices gives a completely objective interpretation of
the current situation and prospects of development of both: market conjuncture and national …
the current situation and prospects of development of both: market conjuncture and national …
Methodical Aspects of Adequate Basket Formation of Ukrainian Stock Indices= Методичні аспекти формування адекватного кошика українських фондових індексів
ОВ Хадарцев - 2019 - reposit.nupp.edu.ua
Розглянуто методичні аспекти щодо формування, перегляду та коригування складових
індексного кошика українських фондових індексів, зокрема стосовно адекватності …
індексного кошика українських фондових індексів, зокрема стосовно адекватності …