A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting

R Arévalo, J García, F Guijarro, A Peris - Expert Systems with Applications, 2017 - Elsevier
In this paper we propose and validate a trading rule based on flag pattern recognition,
incorporating important innovations with respect to the previous research. Firstly, we …

Effective fuzzy system for qualifying the characteristics of stocks by random trading

ME Wu, JH Syu, JCW Lin, JM Ho - IEEE transactions on fuzzy …, 2021 - ieeexplore.ieee.org
Trading strategies can be divided into two categories, ie, those with momentum
characteristic and those that appear contrarian. The characteristics of trading strategies have …

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

F García, F Guijarro, J Oliver… - … Development of Economy, 2018 - aviation.vgtu.lt
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 …

Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models

CH Wang, Y Zeng, J Yuan - Expert Systems with Applications, 2024 - Elsevier
With the advancement of prediction methods in the field of artificial intelligence, accurate
price predictions can effectively support financial portfolio selection. This paper proposes an …

Forecasting fluctuations in the financial index using a recurrent neural network based on price features

YF Lin, TM Huang, WH Chung… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Profits can be made from a trading strategy where long or short positions are placed in
advance, based on the ability to forecast a future stock price or index, such as the closing or …

A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization

CH Wang, J Yuan, Y Zeng, S Lin - Applied Intelligence, 2024 - Springer
Due to the complexity and volatility of stock market trading, there are still some issues in the
existing prediction methods, including the processing of data noise, inexplicable selection of …

An effective approach for obtaining a group trading strategy portfolio using grouping genetic algorithm

CH Chen, YH Chen, JCW Lin, ME Wu - IEEE Access, 2019 - ieeexplore.ieee.org
To determine an appropriate trading time for buying or selling stocks is always a difficult
task. The common way to deal with it is using trading strategies formed by technical or …

A novel approach of option portfolio construction using the Kelly criterion

ME Wu, WH Chung - IEEE Access, 2018 - ieeexplore.ieee.org
Money management is one of the most important issues in financial trading. Many skills of
money managements are based on the Kelly criterion, which is a theoretical optimization of …

Subsequence dynamic time warping for charting: Bullish and bearish class predictions for NYSE stocks

PE Tsinaslanidis - Expert Systems with Applications, 2018 - Elsevier
Advanced pattern recognition algorithms have been historically designed in order to mitigate
the problem of subjectivity that characterises technical analysis (also known as 'charting') …

An effective approach for the diverse group stock portfolio optimization using grouping genetic algorithm

CH Chen, CY Lu, TP Hong, JCW Lin, M Gaeta - IEEE Access, 2019 - ieeexplore.ieee.org
Finding useful portfolios that could be a portfolio of trading strategy or a stock portfolio from
financial datasets is always an attractive research topic due to the nature of financial …