Samsung Electronics (Germany) Pattern Recognition Inverted Hammer
| SSUN Stock | EUR 800.00 14.00 1.72% |
| Symbol |
Recognition |
The output start index for this execution was eleven with a total number of output elements of fifty. The function generated a total of two valid pattern recognition events for the selected time horizon. The Inverted Hammer pattern indicates that the buyers drove prices of Samsung Electronics up, at some point during the period, but encountered selling pressure which drove prices back down to close near to where they opened.
Samsung Electronics Technical Analysis Modules
Most technical analysis of Samsung Electronics help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Samsung from various momentum indicators to cycle indicators. When you analyze Samsung charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Samsung Electronics Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Samsung Electronics Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Samsung Electronics Co based on widely used predictive technical indicators. In general, we focus on analyzing Samsung Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Samsung Electronics's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Samsung Electronics's intrinsic value. In addition to deriving basic predictive indicators for Samsung Electronics, we also check how macroeconomic factors affect Samsung Electronics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in Samsung Stock
Samsung Electronics financial ratios help investors to determine whether Samsung Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Samsung with respect to the benefits of owning Samsung Electronics security.