Role of soft computing techniques in predicting stock market direction

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Role of soft computing techniques in predicting stock market direction

The stock market is a complex and dynamic system with noisy, non-stationary and chaotic data series. Prediction of a financial market is more challenging due to chaos and uncertainty of the system. Soft computing techniques are progressively gaining presence in the financial world. Compared to traditional techniques to predict the market direction, soft computing is gaining the advantage of acc...

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Predicting trends in stock market prices has been an area of interest for researchers for many years due to its complex and dynamic nature. Intrinsic volatility in stock market across the globe makes the task of prediction challenging. Forecasting and diffusion modeling, although effective can’t be the panacea to the diverse range of problems encountered in prediction, short-term or otherwise. ...

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Predicting Direction of Movement of Stock Price and Stock Market Index

This study addresses problem of predicting direction of movement of stock price and stock market index for Indian stock markets. The study compares four prediction models, Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF) and Naive Bayes (NB) with two approaches for input to these models. The first approach for input data involves computation of ten technical par...

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ژورنال

عنوان ژورنال: Artificial Intelligence Research

سال: 2012

ISSN: 1927-6982,1927-6974

DOI: 10.5430/air.v1n2p198