Candlestick Pattern Identification Utilizing Machine Learning Models: A Comparative Analysis Using Historical Stock Data

Post time Yesterday 09:36

Edited by Ginushmal at 2026-7-30 09:43

Journal / Book：Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025/2026)

Authors：Maria Hossain; Abu Ahmed Ferdaus

Published date：2026-04-01

DOI：10.1007/978-3-032-15764-5_30

PDF link：https://link.springer.com/content/pdf/10.1007/978-3-032-15764-5_30.pdf

Article link：https://doi.org/10.1007/978-3-032-15764-5_30

Article Source：Springer (Springer Nature Switzerland)

Remark：This paper investigates the identification of Japanese candlestick patterns using various machine learning and deep learning models. It provides a comparative analysis using historical stock market data to evaluate and enhance the predictive accuracy of future price movements and market trends.

Post time Yesterday 10:13

: Waiting for confirmation
If the PDF has not been accepted after 72 hours, the system will automatically adopt it.

[Springer] Candlestick Pattern Identification Utilizing Machine Learning Models: A Comparative Analysis Using Historical Stock Data

Same Category

Latest Reply

Announcement

Daily Top Contributors

[Springer] Candlestick Pattern Identification Utilizing Machine Learning Models: A Comparative Analysis Using Historical Stock Data Copy

Same Category

Latest Reply

Announcement

Daily Top Contributors

[Springer] Candlestick Pattern Identification Utilizing Machine Learning Models: A Comparative Analysis Using Historical Stock Data