| CoStar Group is a provider of information, analytics, online marketplace and auction services to the commercial real estate and related business community through its proprietary database of commercial real estate information and related tools. Co. provides online marketplaces for commercial real estate, apartment rentals, residential real estate, land for sale and businesses for sale, and its services are typically distributed to its clients under subscription-based agreements that typically renew automatically. Co. operates within two operating segments, North America, which includes the U.S. and Canada, and International, which primarily includes Europe, Asia-Pacific and Latin America. |
When researching a stock like CoStar Group, 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 CSGP 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 CSGP 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 CSGP 200 day moving average ("CSGP 200 DMA"), while one of the most popular "shorter look-backs" is the CSGP 50 day moving average ("CSGP 50 DMA"). A chart showing both of these popular moving averages is shown on this page for CoStar Group. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the CSGP 200 DMA and the CSGP 50 DMA, we get a moving average convergence divergence indicator ("CSGP MACD"). The CSGP 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).