STOCK PREDICTION AND ANALYSIS USING R LANGUAGE AND ARIMA

Dheeraj, Hariprasath, Akshay Kannan, Nishanth Kumar, Ms Sakila
2018 unpublished
The project is aimed at developing a software model that predicts the proceeding of a stock using ARIMA (Auto Regressive Integrated Moving Average), combining it with the twitter sentiment analysis of the stockholder thus allowing the inclusion of human sentiments in the prediction process. Twitter sentiment analysis is achieved through the use of R language for its efficient ability to visualise raw data in terms of stock analysis. Thus stock analysis using R-language and ARIMA is channelled
more » ... IMA is channelled by taking raw data and numbers and converting it into tangible and readable format for the increase in the probability of economic welfare of the user.
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