Alexandria Real Estate Equities is a real estate investment trust. Co. provides space for lease to life science, agtech, and technology tenants. Co. owns, operates, and develops collaborative life science, agtech, and technology campuses in various locations. Co.'s tenants include pharmaceutical companies; public and private biotechnology companies; life science product, service, and medical device companies; digital health, technology, and agtech companies; academic and medical research institutions; U.S. government research agencies; non-profit organizations; and venture capital firms. Co. also provides capital to life science, agrifoodtech, climate innovation, and technology companies.
When researching a stock like Alexandria Real Estate Equities, 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 ARE 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 ARE 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 ARE 200 day moving average ("ARE 200 DMA"), while one of the most popular "shorter look-backs" is the ARE 50 day moving average ("ARE 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Alexandria Real Estate Equities. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the ARE 200 DMA and the ARE 50 DMA, we get a moving average convergence divergence indicator ("ARE MACD"). The ARE 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). |