RETRACTED ARTICLE: Stock market analysis using candlestick regression and market trend prediction (CKRM)
| Autor: | M. Ananthi, K. Vijayakumar |
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| Rok vydání: | 2020 |
| Předmět: |
Profit (accounting)
General Computer Science Computer science Equity (finance) Future value 020206 networking & telecommunications 02 engineering and technology Market trend Stock exchange Value (economics) 0202 electrical engineering electronic engineering information engineering Econometrics 020201 artificial intelligence & image processing Stock market Stock (geology) |
| Zdroj: | Journal of Ambient Intelligence and Humanized Computing. 12:4819-4826 |
| ISSN: | 1868-5145 1868-5137 |
| DOI: | 10.1007/s12652-020-01892-5 |
| Popis: | Stock market data is a time-series data in which stock value varies depends on time. Prediction of the stock market is an endeavor to assess the future value of a company’s stock rate which will increase the investor’s profit. The accurate prediction of stock market analysis is still a challenging task. The proposed system predicts stock price of any company mentioned by the user for the next few days. Using the predicted stock price and datasets collected from various sources regarding a certain equity, the overall sentiment of the stock is predicted. The prediction of stock price is done by regression and candlestick pattern detection. The proposed system generates signals on the candlestick graph which allows to predict market movement to a sufficient level of accuracy so that the user is able to judge whether a stock is a ‘Buy/Sell’ and whether to short the stock or go long by delivery. The prediction accuracy of the stock exchange has analyzed and improved to 85% using machine learning algorithms. |
| Databáze: | OpenAIRE |
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