EconPapers    
Economics at your fingertips  
 

Identifying Graphical Configurations in Technical Analysis Using Machine Learning

Claudio Pizzi () and Matteo Munini
Additional contact information
Claudio Pizzi: Ca’ Foscari University of Venice

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2024, pp 267-273 from Springer

Abstract: Abstract In this paper, we enhance Leigh’s procedure (Leigh 2002a) for identifying the bull-flag configuration within a specified timeframe. We improve the template construction method by introducing more flexibility and eliminating predefined weight choices. The optimization of parameters to maximize annualized return is achieved using a modified fireworks algorithm. Additionally, in our approach, we introduce a signal generator to enhance model robustness and account for trader risk attitudes. The approach is flexible, as it is suitable for other graphical configurations. Our proposal demonstrates superior performance compared to standard settings.

Keywords: Technical analysis; Bull-flag configuration; Fireworks optimization (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-64273-9_44

Ordering information: This item can be ordered from
http://www.springer.com/9783031642739

DOI: 10.1007/978-3-031-64273-9_44

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-031-64273-9_44