Results 31 to 40 of about 246,578 (242)

Prediction of stock price developments using the Box-Jenkins method

open access: yesSHS Web of Conferences, 2017
Stock prices develop in a non-linear way. Naturally, the stock price prediction is one of the most important issues at stock markets. Therefore, a variety of methods and technologies is devoted to the prediction of these prices.
Groda Bořivoj, Vrbka Jaromír
doaj   +1 more source

Enhancing Stock Movement Prediction with Adversarial Training

open access: yes, 2019
This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future.
Chen, Huimin   +5 more
core   +1 more source

A Comparative Study of Future Stock Price Prediction Through Artificial Neural Network and ARIMA Modelling

open access: yesNMIMS Management Review, 2023
Stock price estimation and prediction have been the popular topics for ages for various market participants, including investors, traders, financial analysts and researchers.
Sakshi Varshney, Purwa Srivastava
doaj   +1 more source

Important Trading Point Prediction Using a Hybrid Convolutional Recurrent Neural Network

open access: yesApplied Sciences, 2021
Stock performance prediction plays an important role in determining the appropriate timing of buying or selling a stock in the development of a trading system.
Xinpeng Yu, Dagang Li
doaj   +1 more source

Relationship between degree of efficiency and prediction in stock price changes

open access: yes, 2007
This study investigates empirically whether the degree of stock market efficiency is related to the prediction power of future price change using the indices of twenty seven stock markets.
Eom, Cheoljun   +2 more
core   +1 more source

Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric

open access: yesPakistan Journal of Engineering & Technology, 2022
Predicting stock price is a trend yet very challenging task. It is because the stock prices depend upon several internal and external factors. Stock price prediction can be very useful for financial sectors and the government and help in informed ...
Noman Islam   +3 more
doaj   +1 more source

Stock Prediction Based on Genetic Algorithm Feature Selection and Long Short-Term Memory Neural Network

open access: yesIEEE Access, 2021
In the financial market, there are a large number of indicators used to describe the change of stock price, which provides a good data basis for our stock price forecast.
Shile Chen, Changjun Zhou
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

An Improved Stock Price Prediction using Hybrid Market Indicators [PDF]

open access: yes, 2012
In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model.
Adebiyi, A. A.   +3 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor   +12 more
wiley   +1 more source

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