| C.H. Robinson Worldwide is a logistics company. Co. provides freight transportation services and logistics solutions to companies. Co.'s segments are: North American Surface Transportation, which provides transportation and logistics services across North America; Global Forwarding, which provides transportation and logistics services through an international network of offices and contracts with independent agents worldwide; and All Other and Corporate, which includes Robinson Fresh® that provides sourcing services such as buying, selling, and/or marketing of fresh fruits, vegetables, and other perishable items, Managed Services that provides Managed TMS®, and Other Surface Transportation. |
When researching a stock like C.H. Robinson Worldwide, 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 CHRW 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 CHRW 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 CHRW 200 day moving average ("CHRW 200 DMA"), while one of the most popular "shorter look-backs" is the CHRW 50 day moving average ("CHRW 50 DMA"). A chart showing both of these popular moving averages is shown on this page for C.H. Robinson Worldwide. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the CHRW 200 DMA and the CHRW 50 DMA, we get a moving average convergence divergence indicator ("CHRW MACD"). The CHRW 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).