High Tech (Korea) Pattern Recognition Inverted Hammer
| 106190 Stock | KRW 14,300 150.00 1.06% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Inverted Hammer pattern indicates that the buyers drove prices of High Tech Pharm up, at some point during the period, but encountered selling pressure which drove prices back down to close near to where they opened.
High Tech Technical Analysis Modules
Most technical analysis of High Tech 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 High from various momentum indicators to cycle indicators. When you analyze High 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 High Tech 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 High Tech Pharm. We use our internally-developed statistical techniques to arrive at the intrinsic value of High Tech Pharm based on widely used predictive technical indicators. In general, we focus on analyzing High Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build High Tech'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 High Tech's intrinsic value. In addition to deriving basic predictive indicators for High Tech, we also check how macroeconomic factors affect High Tech price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards High Tech in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, High Tech's short interest history, or implied volatility extrapolated from High Tech options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Gambling Invested over 90 shares | |
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 | Disruptive Technologies Invested few shares | |
 | Driverless Cars Invested few shares | |
 | Chemicals Invested over 30 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Manufacturing Invested over 30 shares | |
Other Information on Investing in High Stock
High Tech financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Tech security.