The AES Corporation is an energy company. Co. operates through four segments: Renewables, Utilities, Energy Infrastructure, and New Energy Technologies. The Renewables segment includes solar, wind, energy storage, hydro, biomass, and landfill gas generation facilities. The Utilities segment includes AES Indiana, AES Ohio, and AES El Salvador regulated utilities and their generation facilities. The Energy Infrastructure segment includes natural gas, liquefied natural gas, coal, pet-coke, diesel and oil generation facilities, and its businesses in Chile, which have a mix of generation sources, including renewables.
When researching a stock like AES, 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 AES 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 AES 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 AES 200 day moving average ("AES 200 DMA"), while one of the most popular "shorter look-backs" is the AES 50 day moving average ("AES 50 DMA"). A chart showing both of these popular moving averages is shown on this page for AES. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the AES 200 DMA and the AES 50 DMA, we get a moving average convergence divergence indicator ("AES MACD"). The AES 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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Video: Technical Analysis