@inproceedings{1c7934f4960c4e8f8f23023b997ba7ef,
title = "Stock prediction by searching similar candlestick charts",
abstract = "This research applies the content-based image retrieval (CBIR) technique for stock prediction. In particular, low-level image features, including wavelet texture and Canny edge are extracted from candlestick charts. Then, similar historical candlestick charts represented by the low-level features to the query chart are retrieved, in which the 'future' stock movements of the retrieved charts are used for predicting the stock price of the query chart.",
author = "Quan, {Zen Yu} and Tsai, {Chih Fong}",
year = "2013",
doi = "10.1109/ICDEW.2013.6547474",
language = "???core.languages.en_GB???",
isbn = "9781467353021",
series = "Proceedings - International Conference on Data Engineering",
pages = "322--325",
booktitle = "2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013",
note = "2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013 ; Conference date: 08-04-2013 Through 11-04-2013",
}