Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales
Existing sales forecasting models are not comprehensive and flexible enough to consider
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
Stock price indices prediction combining deep learning algorithms and selected technical indicators based on correlation
A Ifleh, M El Kabbouri - Arab Gulf Journal of Scientific Research, 2024 - emerald.com
Purpose The prediction of stock market (SM) indices is a fascinating task. An in-depth
analysis in this field can provide valuable information to investors, traders and policy makers …
analysis in this field can provide valuable information to investors, traders and policy makers …
Bangladeshi stock price prediction and analysis with potent machine learning approaches
Stock price forecasting, is one of the most significant financial complexities, since data are
not reliable and noisy, impacting many factors. This article offers a machine learning model …
not reliable and noisy, impacting many factors. This article offers a machine learning model …
IS STOCK PRICES REFLECTED IN MARKET RATIOS?
TK En - International Journal of Contemporary Accounting, 2020 - e-journal.trisakti.ac.id
The most fascinating thing in stock market world is forecasting stock prices. Almost all
players in stock market race to find the best method for forecast stock prices. After years of …
players in stock market race to find the best method for forecast stock prices. After years of …