Kung Long (Taiwan) Technical Analysis
| 1537 Stock | TWD 157.00 1.00 0.63% |
As of the 11th of December 2024, Kung Long secures the Downside Deviation of 1.35, mean deviation of 1.07, and Risk Adjusted Performance of 0.0656. Kung Long Batteries technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Kung Long Batteries coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Kung Long Batteries is priced some-what accurately, providing market reflects its recent price of 157.0 per share.
Kung Long Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Kung, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KungKung |
Kung Long 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.
Kung Long Batteries Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Kung Long Batteries volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kung Long Batteries Trend Analysis
Use this graph to draw trend lines for Kung Long Batteries. You can use it to identify possible trend reversals for Kung Long 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 Kung Long price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Kung Long Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Kung Long Batteries applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Kung Long Batteries will continue generating value for investors. It has 122 observation points and a regression sum of squares at 220.53, which is the sum of squared deviations for the predicted Kung Long price change compared to its average price change.About Kung Long 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 Kung Long Batteries 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 Kung Long Batteries based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Kung Long Batteries price pattern first instead of the macroeconomic environment surrounding Kung Long Batteries. By analyzing Kung Long'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 Kung Long'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 Kung Long specific price patterns or momentum indicators. Please read more on our technical analysis page.
Kung Long December 11, 2024 Technical Indicators
Most technical analysis of Kung 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 Kung from various momentum indicators to cycle indicators. When you analyze Kung 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 | 0.0656 | |||
| Market Risk Adjusted Performance | (1.92) | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.06 | |||
| Downside Deviation | 1.35 | |||
| Coefficient Of Variation | 1201.61 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.55 | |||
| Information Ratio | 0.0053 | |||
| Jensen Alpha | 0.1302 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0063 | |||
| Treynor Ratio | (1.93) | |||
| Maximum Drawdown | 8.39 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 3.07 | |||
| Downside Variance | 1.83 | |||
| Semi Variance | 1.13 | |||
| Expected Short fall | (1.49) | |||
| Skewness | 1.27 | |||
| Kurtosis | 3.95 |
Kung Long December 11, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Kung stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 2,728 | ||
| Daily Balance Of Power | (0.33) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 157.50 | ||
| Day Typical Price | 157.33 | ||
| Price Action Indicator | (1.00) |
Additional Tools for Kung Stock Analysis
When running Kung Long's price analysis, check to measure Kung Long'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 Kung Long is operating at the current time. Most of Kung Long's value examination focuses on studying past and present price action to predict the probability of Kung Long's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kung Long's price. Additionally, you may evaluate how the addition of Kung Long to your portfolios can decrease your overall portfolio volatility.