Workday (WDAY) has risen sharply, recording gains of 2.64% in the past 4 weeks. However, the stock has corrected -1.69% in the past 1 week, providing a good buying opportunity on dips. On a relative basis, the stock has outperformed the S&P 500 by 2.25% in the past 4 weeks, but has underperformed the S&P 500 in the past 1 week.
Workday, Inc. is up 9.06% in the last 3-month period. Year-to-Date the stock performance stands at 3.01%. The stock has recorded a 20-day Moving Average of 0% and the 50-Day Moving Average is 3.69%.
Workday (NYSE:WDAY): During Fridays trading session, Bulls were in full control of the stock right from the opening. The stock opened at $81.00 and $79.97 proved to be the low of the day. Continuous buying at higher levels pushed the stock towards an intraday high of $82.45. The buying momentum continued till the end and the stock did not give up its gains. It closed at $82.08, notching a gain of 0.87% for the day. The total traded volume was 1,238,245 . The stock had closed at $81.37 on the previous day.
Also, Stephens & Co. initiates coverage on Workday (NYSE:WDAY). Stephens & Co. has a Equal-weight rating on the shares. The rating by the firm was issued on August 4, 2016.
Workday, Inc. is a provider of enterprise cloud applications for finance and human resources. The Company delivers financial management, human capital management and analytics applications designed for a range of companies, educational institutions and government agencies. The Companys applications include Workday Financial Management, Workday Human Capital Management (Workday HCM) and Workday Insight Applications. Workday Financial Management is a unified application built on a single, global core with a range of financial capabilities, relevant analytics and metrics, and an auditable process management built to help manage financial processes for global organizations. Workday HCM enables an organization to staff, pay, organize, and develop its global workforce. Workday Insight Applications is a suite of applications that leverage advanced data science and machine learning methodologies to help customers make financial and workforce decisions.