Discovery - Series C MACD



DISCK MACDDISCK DMA
Discovery, via its subsidiaries, is a media company that provides content across distribution platforms, including pay-television, free-to-air and broadcast television, and direct-to-consumer subscription products. Co.'s portfolio of networks includes nonfiction television brands such as Discovery Channel, HGTV, Food Network, TLC, Animal Planet, Travel Channel, and MotorTrend. Co.'s global portfolio includes Eurosport, a sports entertainment provider. Co. classifies its operations in two segments: U.S. Networks, consisting of domestic television networks and digital content services, and International Networks, consisting of international television networks and digital content services.

When researching a stock like Discovery - Series C, 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 DISCK 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 DISCK 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 DISCK 200 day moving average ("DISCK 200 DMA"), while one of the most popular "shorter look-backs" is the DISCK 50 day moving average ("DISCK 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Discovery - Series C. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the DISCK 200 DMA and the DISCK 50 DMA, we get a moving average convergence divergence indicator ("DISCK MACD"). The DISCK 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).
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