| Hartford Financial Services Group is a holding company. Through its subsidiaries, Co. provides property and casualty insurance, group benefits insurance and services, and mutual funds and exchange-traded products to individual and business customers in the U.S., the U.K., and other international locations. Co.'s segments include: Commercial Lines, which provides workers' compensation, property, automobile, general liability, umbrella, professional liability, bond, marine, livestock and assumed reinsurance; Personal Lines, which provides standard automobile, homeowners and personal umbrella coverages; and Hartford Funds, which provides investment products for retail and retirement accounts.
When researching a stock like Hartford Financial Services Group, 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 HIG 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 HIG 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 HIG 200 day moving average ("HIG 200 DMA"), while one of the most popular "shorter look-backs" is the HIG 50 day moving average ("HIG 50 DMA"). A chart showing both of these popular moving averages is shown on this page for Hartford Financial Services Group. Comparing two moving averages against each other can be a useful visualization tool: by calculating the difference between the HIG 200 DMA and the HIG 50 DMA, we get a moving average convergence divergence indicator ("HIG MACD"). The HIG 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).