SMCI MACD



SMCI MACDSMCI DMA
Super Micro Computer is a provider of accelerated compute platforms that are server and storage systems for various markets, including enterprise data centers, cloud computing, artificial intelligence, 5G and edge computing. Co.'s solutions include servers, storage systems, modular blade servers, blades, workstations, rack scale solutions, networking devices, server sub-systems, server management and security software. Co. also provides global support and services to help its customers install, upgrade and maintain their computing infrastructure. Co. provides its customers an array of server models and configurations from which they can choose the solutions to fit their computing needs.

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