Search Results - subject:"Candlestick"

Central bank's surprise policy and its potential to change people's deflationary mindset : evidence from the yen-dollar exchange market

Kamada, Koichiro - 2025

Persistent link: https://www.econbiz.de/10015432747

Forecasting stock returns : the role of VIX-based upper and lower shadow of Japanese candlestick

Dai, Zhifeng; Zhu, Haoyang; Chang, Xiaoming; Wen, Fenghua - In: Financial innovation : FIN 11 (2025), pp. 1-35

This paper proposes a new predictor by calculating the difference between the Japanese candlestick's upper and lower …

Persistent link: https://www.econbiz.de/10015574452

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of capital markets studies 8 (2024) 1, pp. 67-94

, the stock market is analysed by the technical analysis of Japanese Candlestick, which is combined by the following meta … changed with respect to the conditions. Originality/value In this study, two methods have been developed in a candlestick …

Persistent link: https://www.econbiz.de/10015047541

A structural VAR and VECM modeling method for open-high-low-close data contained in candlestick chart

Huang, Wenyang; Wang, Huiwen; Wang, Shanshan - In: Financial innovation : FIN 10 (2024), pp. 1-29

The structural modeling of open-high-low-close (OHLC) data contained within the candlestick chart is crucial to …

Persistent link: https://www.econbiz.de/10014540309

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of Capital Markets Studies (JCMS) 8 (2024) 1, pp. 67-94

Persistent link: https://www.econbiz.de/10015327938

A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization

Mahmoodi, Armin; Hashemi, Leila; Jasemi, Milad; … - In: Asian journal of economics and banking : AJEB 7 (2023) 1, pp. 2-24

Purpose - In this research, the main purpose is to use a suitable structure to predict the trading signals of the stock market with high accuracy. For this purpose, two models for the analysis of technical adaptation were used in this study. Design/methodology/approach - It can be seen that...

Persistent link: https://www.econbiz.de/10014309150

A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization

Mahmoodi, Armin; Hashemi, Leila; Jasemi, Milad; … - In: Asian Journal of Economics and Banking (AJEB) 7 (2023) 1, pp. 2-24

Persistent link: https://www.econbiz.de/10015557653

A novel hybrid model by integrating gated recurrent unit network with weighted error-based fuzzy candlestick model for stock market forecasting

Zhang, Yameng; Song, Yan; Wei, Guoliang - In: Computational economics 65 (2025) 3, pp. 1341-1371

Persistent link: https://www.econbiz.de/10015590123

Develop an integrated candlestick technical analysis model using meta-heuristic algorithms

Mahmoodi, Armin; Hashemi, Leila; Jasemi, Milad - In: EuroMed journal of business 19 (2024) 4, pp. 1231-1270

Persistent link: https://www.econbiz.de/10015327533

Cryptocurrency price fluctuation and time series analysis through candlestick pattern of bitcoin and ethereum using machine learning

Kapur, Geeta; Manohar, Sridhar; Mittal, Amit; Jain, Vishal - In: International journal of quality & reliability management 41 (2024) 8, pp. 2055-2074

Persistent link: https://www.econbiz.de/10015057320