DRE MACD



DRE MACDDRE DMA
Duke Realty is a self-administered and self-managed real estate investment trust and is the sole general partner of Duke Realty Limited Partnership (Partnership) and its consolidated subsidiaries. Co. and Partnership focuses on the ownership, management and development of bulk distribution (industrial) real estate. Co. has two operating segments, the first consisting of the ownership and rental of industrial real estate investments. Co.'s second reportable segment consists of real estate services such as development, general contracting, construction management, property management, asset management, maintenance and leasing to third-party property customers, owners and joint ventures.

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