| Willis Towers Watson Public is a holding company. Through its subsidiaries, Co. is engaged as an advisory, broking and solutions company. Co.'s risk control services range from strategic risk consulting to a variety of due diligence services, to the provision of practical on-site risk control services, as well as analytical and advisory services. As an insurance broker, Co. acts as an intermediary between its clients and insurance carriers by advising its clients on their risk management requirements. Co. operates in four segments: Human Capital and Benefits; Corporate Risk and Broking; Investment, Risk and Reinsurance; and Benefits Delivery and Administration. |
When researching a stock like Willis Towers Watson Public, many investors are the most familiar with Fundamental Analysis — looking at a company's balance sheet, earnings, revenues, and what's happening in that company's underlying business. Investors who use Fundamental Analysis to identify good stocks to buy or sell can also benefit from WLTW Technical Analysis to help find a good entry or exit point. Technical Analysis is blind to the fundamentals and looks only at the trading data for WLTW stock — the real life supply and demand for the stock over time — and examines that data in different ways. One of those ways is to calculate a Simpe Moving Average ("SMA") by looking back a certain number of days. One of the most popular "longer look-backs" is the WLTW 200 day moving average ("WLTW 200 DMA"), while one of the most popular "shorter look-backs" is the WLTW 50 day moving average ("WLTW 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Willis Towers Watson Public. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the WLTW 200 DMA and the WLTW 50 DMA, we get a moving average convergence divergence indicator ("WLTW MACD"). The WLTW MACD chart, in conjunction with the chart of the moving averages, basically helps in visualizing how the moving averages are showing convergence (moving closer together), or divergence (moving farther apart).