Traditional autoregressive (AR) time series models have been extensively applied to predict
various stationary data sets based on single point data. However, real-world system involves …

Stock Market can be easily seen as one of the most attractive places for investors, but it is
also very complex in terms of making trading decisions. Predicting the market is a risky …

Stock Market can be easily seen as one of the most attractive places for investors, but it is
also very complex in terms of making trading decisions. This paper presents a system which …

This paper concerns the issues of investing in the stock market using artificial intelligence
tools. It describes in detail the process of investing in capital markets using the combination …

Traditional autoregressive (AR) time series models have been extensively applied to predict
various stationary data sets based on single point data. However, real-world system involves …

Many techniques like technical analysis, fundamental analysis, neural networks etc are used
to forecast market behavior but none of these methods has been consistently acceptable …

The investor's sentiments can be defined an investor's attitude and opinion towards
investing in the stocks market. Investor sentiment has been traditionally regarded as a myth …

This paper presents a computational approach for trend analysis using statistical graph for
share market. In this paper,“Share Market Forecasting” is a task to analyze the particular …