S&P Global is a provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. Co. has four reportable segments: S&P Global Ratings, which provides credit ratings, research, and analytics; S&P Global Market Intelligence, which provides multi-asset-class data, research and analytical capabilities, which integrate cross-asset analytics and desktop services; S&P Global Platts, which provides information and benchmark prices for the commodity and energy markets; and S&P Dow Jones Indices, which provides a variety of valuation and index benchmarks for investment advisors, wealth managers and institutional investors.
When researching a stock like Standard and Poors Global, 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 SPGI 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 SPGI 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 SPGI 200 day moving average ("SPGI 200 DMA"), while one of the most popular "shorter look-backs" is the SPGI 50 day moving average ("SPGI 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Standard and Poors Global. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the SPGI 200 DMA and the SPGI 50 DMA, we get a moving average convergence divergence indicator ("SPGI MACD"). The SPGI 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). |