MSI MACD
MSI MACDMSI DMA
Motorola Solutions is engaged in communications and analytics. Co.'s Products and Systems Integration segment provides a portfolio of infrastructure, devices, accessories, video security devices and infrastructure, and the implementation and integration of such systems, devices, and applications. Co. provides Long Term Evolution solutions for public safety, government and commercial users. Co.'s Video Security and Analytics technology includes network video management infrastructure, fixed security and mobile video cameras and access control solutions. Co.'s Software and Services segment provides a range of software and services for government, public safety and commercial customers.

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