Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions
نویسندگان
چکیده
منابع مشابه
Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions
Forecasting stock market has been a difficult job for applied researchers owing to nature of facts which is very noisy and time varying. However, this hypothesis has been featured by several empirical experiential studies and a number of researchers have efficiently applied machine learning techniques to forecast stock market. This paper studied stock prediction for the use of investors. It is ...
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Stock market prediction has been a challenging task due to the nature of the data which is very noisy and time varying. However, this theory has been faced by many empirical studies and a number of researchers have successfully applied machine learning approaches to predict stock market. The problem studied here is about stock prediction for the use of investors. It is true investors usually ge...
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Machines (SVM) for stock market prediction. A variety of indicators from the technical analysis field of study are used as input features. We also make use of the correlation between stock prices of different companies to forecast the price of a stock, making use of technical indicators of highly correlated stocks, not only the stock to be predicted. The genetic algorithm is used to select the ...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2014
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2014/318524