Investment in shares requires analysis of huge historical data. Analysis is the primary phase and it forecasts the future investment process. Broking house plays a clinical role in this context and charges a percentage of hike in shares. But these days such information is frequently available in different websites and are updated on a regular basis. The usage of technology for predictive analysis is hugely correlated with big data. These are limited to institutional buyers. The automation in predictive analysis requires a huge precision which is cost effective, but its implementation could be a game changer.

To read, follow: http://www.thehindubusinessline.com/markets/stock-markets/big-data-robo-analytics-to-drive-next-phase-of-growth/article8249330.ece

A lot is at stake in the stock market because average stock valuations are in high-normal range. Most analysts agree that if the average P/E Ratio of S&P 500 is anything greater than 20, it means stocks are in a rather high-priced region. There are several factors however that might create problems. To know more go through the article by Julian Close (business writer, PRA International and the United Nations Department of Peacekeeping) at: http://www.marketintelligencecenter.com/articles/612420