| Charles River Laboratories International is a full service, non-clinical global drug development partner. Co. has laboratory animal medicine and science (research model technologies) to develop a portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, that supports its clients from target identification through non-clinical development. Co. also provides a suite of products and services to support its clients' manufacturing activities, including its contract development and manufacturing organization business. Co. has three reporting segments: Research Models and Services, Discovery and Safety Assessment and Manufacturing Solutions. |
When researching a stock like Charles River Laboratories International, 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 CRL 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 CRL 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 CRL 200 day moving average ("CRL 200 DMA"), while one of the most popular "shorter look-backs" is the CRL 50 day moving average ("CRL 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Charles River Laboratories International. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the CRL 200 DMA and the CRL 50 DMA, we get a moving average convergence divergence indicator ("CRL MACD"). The CRL 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).