Results 11 to 20 of about 6,118,389 (306)

TECHNICAL PERFORMANCE PROFILE OF THE FOUR-TIME COSTA RICAN SENIOR BASKETBALL LEAGUE CHAMPIONSHIP TEAM [PDF]

open access: yesMHSalud, 2011
The purpose of this study was to analyze and compare the technical performance profile of the four-time Costa Rican Senior Basketball League championship team. A total of 142 games was recorded throughout the 2007, 2008 and 2009 seasons.
Braulio Sánchez Ureña   +3 more
doaj   +1 more source

Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis [PDF]

open access: yesInternational 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

Robust Trade Integration Indicators

open access: yes, 2022
Robust indicators are essential for tracking the progress made in regional trade integration. Although the bias of traditional indexes such as the share of intra-regional trade in total trade have been known for a long time, they continue to be used by ...
Bouët, Antoine; Laborde Debucquet, David; Traore, Fousseini   +1 more
core   +1 more source

Hybrid fuzzy neural network to predict price direction in the German DAX-30 index

open access: yesTechnological and Economic Development of Economy, 2018
Intraday trading rules require accurate information about the future short term market evolution. For that reason, next-day market trend prediction has attracted the attention of both academics and practitioners.
Fernando García   +3 more
doaj   +1 more source

Technical Analysis of Selected Stocks Time Series Based on Value Screening [PDF]

open access: yesSHS Web of Conferences, 2022
The paper deals with the issue of value screening and shares. For the selection of a company, value screening with specific criteria was used. From a total of 6 companies, the one with the most traded stocks was selected, namely the company Apple Inc ...
Tlustý Michal
doaj   +1 more source

Hybridizing data stream mining and technical indicators in automated trading systems [PDF]

open access: yes, 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
Michael Mayo, Mayo, Michael
core   +1 more source

Technical Indicators and LSTM Prediction for Stock Prices [PDF]

open access: yes, 2021
In this report, we study, first, Tesla Motors’ stock price prediction in a traditional way using technical indicators like Moving Average, Relative Strength Index, Parabolic SAR, Commodity Channel Index, Stochastic Oscillator, and Awesome Oscillator in ...
Akar, Aslıhan
core  

Analysis of shots in relation to the outcome in elite women's water polo matches. [Análisis de los lanzamientos en función del resultado en partidos de waterpolo femenino de élite]. [PDF]

open access: yesRevista Internacional de Ciencias del Deporte, 2018
The aim of the current study was to investigate the shot performance of elite female water polo players according to their match outcome during three international tournaments, the 2012 Olympic Games, 2013 and 2014 FINA World Leagues.
Cristina Menescardi   +4 more
doaj   +1 more source

An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges

open access: yesApplied Sciences, 2023
Forecasting the behavior of the stock market is a classic but difficult topic, one that has attracted the interest of both economists and computer scientists.
Santosh Kumar Sahu   +2 more
doaj   +1 more source

Advanced Stock Price Forecasting Using a 1D-CNN-GRU-LSTM Model [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining
This article proposes a novel hybrid network integrating three distinct architectures -CNN, GRU, and LSTM- to predict stock price movements. Here with Combining Feature Extraction and Sequence Learning and Complementary Strengths can Improved Predictive ...
Fatemeh Moodi   +3 more
doaj   +1 more source

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