Stock prediction by searching similar candlestick charts

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.