High Tech (Korea) Technical Analysis
| 106190 Stock | KRW 15,170 620.00 3.93% |
As of the 23rd of November, High Tech retains the Downside Deviation of 2.63, risk adjusted performance of 0.0197, and Market Risk Adjusted Performance of (0.05). High Tech technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
High Tech Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as High, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HighHigh |
High Tech technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
High Tech Pharm Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of High Tech Pharm volatility. High ATR values indicate high volatility, and low values indicate low volatility.
High Tech Pharm Trend Analysis
Use this graph to draw trend lines for High Tech Pharm. You can use it to identify possible trend reversals for High Tech as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual High Tech price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.High Tech Best Fit Change Line
The following chart estimates an ordinary least squares regression model for High Tech Pharm applied against its price change over selected period. The best fit line has a slop of 29.56 , which means High Tech Pharm will continue producing value for investors. It has 122 observation points and a regression sum of squares at 3.304337414E7, which is the sum of squared deviations for the predicted High Tech price change compared to its average price change.About High Tech Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of High Tech Pharm on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of High Tech Pharm based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on High Tech Pharm price pattern first instead of the macroeconomic environment surrounding High Tech Pharm. By analyzing High Tech's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of High Tech's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to High Tech specific price patterns or momentum indicators. Please read more on our technical analysis page.
High Tech November 23, 2024 Technical Indicators
Most technical analysis of High 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 different 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 |
| Risk Adjusted Performance | 0.0197 | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.8 | |||
| Semi Deviation | 2.57 | |||
| Downside Deviation | 2.63 | |||
| Coefficient Of Variation | 5977.35 | |||
| Standard Deviation | 2.47 | |||
| Variance | 6.12 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0941 | |||
| Total Risk Alpha | (0.36) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 10.59 | |||
| Value At Risk | (4.75) | |||
| Potential Upside | 4.77 | |||
| Downside Variance | 6.89 | |||
| Semi Variance | 6.59 | |||
| Expected Short fall | (1.76) | |||
| Skewness | (0.18) | |||
| Kurtosis | 0.5411 |
Complementary Tools for High Stock analysis
When running High Tech's price analysis, check to measure High Tech's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy High Tech is operating at the current time. Most of High Tech's value examination focuses on studying past and present price action to predict the probability of High Tech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move High Tech's price. Additionally, you may evaluate how the addition of High Tech to your portfolios can decrease your overall portfolio volatility.
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