2009 IEEE International Advance Computing Conference 2009
DOI: 10.1109/iadcc.2009.4809230
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Candlestick Analysis based Short Term Prediction of Stock Price Fluctuation using SOM-CBR

Abstract: like commodity, crude just to name a few [12]. Unlike other Abstract-Stock market analysis and prediction has been one technical indicators, which try to find statistical relation of of the widely studied and most interesting time series analysis current price with future price, candlestick indicator tries to problems till date. Many researchers have employed many find the investor's sentiment on a given stock. The idea is different models, some of them are linear statistic based while simple "what will be the… Show more

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Cited by 18 publications
(4 citation statements)
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“…The first group shows that there are at least seven articles that discuss candlesticks and include them in the realm of the Expert System. There are two articles that use Neural Networks in making stock price predictions by making candlesticks as their main parameter (J. H. Chen & Tsai, 2020; Ng et al, 2011), While the rest use fuzzy and learning techniques to look for similarities in candlestick patterns so that they can be predicted for movement in the next period (Carpentier & White, 2013;Goswami et al, 2009) However, apart from the SLR screening results, there are dozens of articles that have the same theme but have citations that are not very significant.…”
Section: Analytical Processmentioning
confidence: 99%
“…The first group shows that there are at least seven articles that discuss candlesticks and include them in the realm of the Expert System. There are two articles that use Neural Networks in making stock price predictions by making candlesticks as their main parameter (J. H. Chen & Tsai, 2020; Ng et al, 2011), While the rest use fuzzy and learning techniques to look for similarities in candlestick patterns so that they can be predicted for movement in the next period (Carpentier & White, 2013;Goswami et al, 2009) However, apart from the SLR screening results, there are dozens of articles that have the same theme but have citations that are not very significant.…”
Section: Analytical Processmentioning
confidence: 99%
“…The candle chart, which is widely used for forecasting direction of the stock index, is composed of four indexes, open (y o t ), close (y c t ), highest (y h t ) and lowest (y l t ) indexes as shown in Figure 1 (Goswamil et al, 2009). The stock indices dataset may become huge, since stock price information is usually expressed by time series of four indices, open, close, highest and lowest.…”
Section: Candle Chart-valued Time Seriesmentioning
confidence: 99%
“…The literatures [4,5] introduce the existing patterns and their features in detail, such as Three Inside Up (TIU), Three Inside Down (TID), and Doji. Some papers [6][7][8][9][10] conclude from the experiment that the existing K-line patterns have a good forecasting capability for forecasting stock trends. Some other papers [11][12][13][14][15] have studied the stock prediction based on these patterns and have achieved some research results.…”
Section: Introductionmentioning
confidence: 99%