Augmented Textual Features-Based Stock Market Prediction
نویسندگان
چکیده
منابع مشابه
Textual Analysis of Stock Market Prediction Using Financial News Articles
This paper examines the role of financial news articles on three different textual representations; Bag of Words, Noun Phrases, and Named Entities and their ability to predict discrete number stock prices twenty minutes after an article release. Using a Support Vector Machine (SVM) derivative, we show that our model had a statistically significant impact on predicting future stock prices compar...
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There are various studies on the behavior of the market. In particular, derivatives such as futures and options have taken a lot of attentions, lately. Predicting these derivatives is not only important for the risk management purposes, but also for price speculative activities. Besides that accurate prediction of the market’s direction can help investors to gain enormous profits with small amo...
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Stock market values keeps on changing day by day, so it is very difficult to predict the future value of the market. Although there are various techniques implemented for the prediction of stock market values, but the predicted values are not very accurate and error rate is more. Hence an efficient technique is implemented for the prediction of the stock market values using hybrid combinatorial...
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Stock market analysis is a widely studied problem as it offers practical applications for signal processing and predictive methods and a tangible financial reward. Creating a system that yields consistent returns is extremely challenging and is currently an open problem as stock market prices are extremely volatile and vary widely both within a given stock and comparatively amongst many stocks....
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In recent years researchers have developed a lot of interest in stock market prediction because of its dynamic & unpredictable nature. Although there were lots of methods of prediction none of them is prove to produce satisfactory results. Machine learning techniques proved to be better than other methods because of its ability of nonlinear mapping. In this paper we survey different input param...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2976725