| Fidelity National Information Services is a provider of technology solutions for merchants, banks, and capital markets firms globally. Co.'s solutions include merchant acquiring solutions; payment solutions; global eCommerce solutions; processing and ancillary applications solutions; digital solutions; fraud, risk management and compliance solutions; electronic funds transfer and network services solutions; card and retail payment solutions; wealth and retirement solutions; item processing and output services solutions; securities processing and finance solutions; global trading solutions; asset management and insurance solutions; and corporate liquidity solutions. |
When researching a stock like Fidelity National Information Services, 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 FIS 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 FIS 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 FIS 200 day moving average ("FIS 200 DMA"), while one of the most popular "shorter look-backs" is the FIS 50 day moving average ("FIS 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Fidelity National Information Services. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the FIS 200 DMA and the FIS 50 DMA, we get a moving average convergence divergence indicator ("FIS MACD"). The FIS 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).