DB Insurance (Korea) Technical Analysis
| 005830 Stock | 108,500 1,300 1.21% |
As of the 23rd of November, DB Insurance owns the Market Risk Adjusted Performance of (1.99), downside deviation of 2.86, and Standard Deviation of 2.76. DB Insurance Co technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices.
DB Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 005830, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 005830005830 |
DB Insurance 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.
DB Insurance 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 DB Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
DB Insurance Trend Analysis
Use this graph to draw trend lines for DB Insurance Co. You can use it to identify possible trend reversals for DB Insurance 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 DB Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.DB Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for DB Insurance Co applied against its price change over selected period. The best fit line has a slop of 181.11 , which may suggest that DB Insurance Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.24046219884E9, which is the sum of squared deviations for the predicted DB Insurance price change compared to its average price change.About DB Insurance 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 DB Insurance Co 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 DB Insurance Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on DB Insurance price pattern first instead of the macroeconomic environment surrounding DB Insurance. By analyzing DB Insurance'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 DB Insurance'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 DB Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
DB Insurance November 23, 2024 Technical Indicators
Most technical analysis of 005830 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 005830 from various momentum indicators to cycle indicators. When you analyze 005830 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 | 0.0436 | |||
| Market Risk Adjusted Performance | (1.99) | |||
| Mean Deviation | 2.21 | |||
| Semi Deviation | 2.69 | |||
| Downside Deviation | 2.86 | |||
| Coefficient Of Variation | 2107.14 | |||
| Standard Deviation | 2.76 | |||
| Variance | 7.63 | |||
| Information Ratio | 1.0E-4 | |||
| Jensen Alpha | 0.1284 | |||
| Total Risk Alpha | (0.31) | |||
| Sortino Ratio | 1.0E-4 | |||
| Treynor Ratio | (2.00) | |||
| Maximum Drawdown | 15.36 | |||
| Value At Risk | (4.32) | |||
| Potential Upside | 4.13 | |||
| Downside Variance | 8.15 | |||
| Semi Variance | 7.23 | |||
| Expected Short fall | (2.21) | |||
| Skewness | 0.1637 | |||
| Kurtosis | 0.5683 |
Complementary Tools for 005830 Stock analysis
When running DB Insurance's price analysis, check to measure DB Insurance'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 DB Insurance is operating at the current time. Most of DB Insurance's value examination focuses on studying past and present price action to predict the probability of DB Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DB Insurance's price. Additionally, you may evaluate how the addition of DB Insurance to your portfolios can decrease your overall portfolio volatility.
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