NVIDIA engages in graphics processing unit (GPU)-based visual computing and accelerated computing platforms. Co. has two segments, GPU and Tegra Processor, which are based on a single underlying architecture. Co.'s GPU product brands are aimed at markets including GeForce for gamers; Quadro for designers; Tesla and DGX for artificial intelligence data scientists and big data researchers; and GRID for cloud-based visual computing users. Co.'s Tegra brand integrates an entire computer onto a single chip, and incorporates GPUs and multi-core CPUs to drive supercomputing for autonomous robots, drones, and cars, as well as for game consoles and mobile gaming and entertainment devices.
When researching a stock like NVIDIA, 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 NVDA 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 NVDA 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 NVDA 200 day moving average ("NVDA 200 DMA"), while one of the most popular "shorter look-backs" is the NVDA 50 day moving average ("NVDA 50 DMA"). A chart showing both of these popular moving averages is shown on this page for NVIDIA. |
Video: Technical Analysis