Prescribing the Stock Market using Web Media

Analyze the financial data for making a prediction in stock markets by using big data analytics and recommend the user investment in various category stock markets based on web media. Hadoop is a Java-based programming framework that supports the processing of large data sets in a Parallel and distributed computing environment. It makes use of the commodity hardware Hadoop is Highly Scalable and Fault Tolerant. Hadoop runs in the cluster and eliminates the use of a Supercomputer. Hadoop is used as a big data processing engine with a simple master- slave setup. In the stock market industry, predictive analytics plays a key role in providing data-driven decisions for managing the resources under an NSE and BSE. There are certain attributes that trigger redemption by investors are complex in nature to identify and analyze. Predicting redemption behavior requires a sophisticated platform that can capture multiple factors that affect redemption behavior. However, big data predictive analytics using advanced analytics platform can analyze these massive amounts of transaction data and other time trend variables at a macro level. This platform can investigate these factors for near real- time data and can provide highly accurate predictions for the redeeming investors in the future at an investor-level.