Dynamic Time Warping Application for Financial Pattern Recognition

Autor: Taihua Hu, Yangqi Li
Rok vydání: 2020
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3658339
Popis: Close price pattern is one of the widely applied technical indicators in market operations and trading. However, datasets or programming packages including calculation or labeling of close price patterns barely exist in public. With understanding of difficulties and flexibility of identifying a typical close price pattern, we developed a pattern recognition algorithm specially for close price patterns using Featured-based Dynamic Time Warping and Pattern Rule. The algorithm exhibits identified sequences with close resemblance of target financial patterns while incorporating some variations tolerable in human sense.
Databáze: OpenAIRE