VST MACD



VST MACDVST DMA
Vistra is a holding company. Through its subsidiaries, Co. is operating an integrated retail and electric power generation business throughout the U.S. Co. has six segments: Retail, which is engaged in retail sales of electricity and natural gas; Texas and East, which are engaged in electricity generation, wholesale energy sales and purchases, commodity risk management activities, fuel production and fuel logistics management; West, which represents results from the California Independent System Operator market; Sunset, which consists of generation plants with announced retirement plans; and Asset Closure, which is engaged in the decommissioning and reclamation of retired plants and mines.

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