Bosung Power (Korea) Technical Analysis
| 006910 Stock | KRW 2,980 35.00 1.16% |
As of the 27th of November, Bosung Power shows the Risk Adjusted Performance of 0.0236, downside deviation of 2.38, and Mean Deviation of 2.17. Bosung Power Technology technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Bosung Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bosung, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BosungBosung |
Bosung Power 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.
Bosung Power Technology Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Bosung Power Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Bosung Power Technology Trend Analysis
Use this graph to draw trend lines for Bosung Power Technology. You can use it to identify possible trend reversals for Bosung Power 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 Bosung Power price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bosung Power Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Bosung Power Technology applied against its price change over selected period. The best fit line has a slop of 0.79 , which may suggest that Bosung Power Technology market price will keep on failing further. It has 122 observation points and a regression sum of squares at 23449.19, which is the sum of squared deviations for the predicted Bosung Power price change compared to its average price change.About Bosung Power 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 Bosung Power Technology 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 Bosung Power Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Bosung Power Technology price pattern first instead of the macroeconomic environment surrounding Bosung Power Technology. By analyzing Bosung Power'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 Bosung Power'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 Bosung Power specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bosung Power November 27, 2024 Technical Indicators
Most technical analysis of Bosung 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 Bosung from various momentum indicators to cycle indicators. When you analyze Bosung 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 | 0.0236 | |||
| Market Risk Adjusted Performance | 0.218 | |||
| Mean Deviation | 2.17 | |||
| Semi Deviation | 2.3 | |||
| Downside Deviation | 2.38 | |||
| Coefficient Of Variation | 4981.44 | |||
| Standard Deviation | 4.34 | |||
| Variance | 18.87 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0325 | |||
| Total Risk Alpha | (0.61) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.208 | |||
| Maximum Drawdown | 36.96 | |||
| Value At Risk | (3.91) | |||
| Potential Upside | 3.45 | |||
| Downside Variance | 5.69 | |||
| Semi Variance | 5.31 | |||
| Expected Short fall | (2.84) | |||
| Skewness | 5.05 | |||
| Kurtosis | 34.85 |
Complementary Tools for Bosung Stock analysis
When running Bosung Power's price analysis, check to measure Bosung Power'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 Bosung Power is operating at the current time. Most of Bosung Power's value examination focuses on studying past and present price action to predict the probability of Bosung Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bosung Power's price. Additionally, you may evaluate how the addition of Bosung Power to your portfolios can decrease your overall portfolio volatility.
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