Automobile (Korea) Technical Analysis
| 015260 Stock | 680.00 5.00 0.74% |
As of the 2nd of December, Automobile shows the Risk Adjusted Performance of (0.01), standard deviation of 3.77, and Mean Deviation of 2.54. Automobile Pc 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.
Automobile Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Automobile, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AutomobileAutomobile |
Automobile 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.
Automobile Pc 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 Automobile Pc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Automobile Pc Trend Analysis
Use this graph to draw trend lines for Automobile Pc. You can use it to identify possible trend reversals for Automobile 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 Automobile price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Automobile Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Automobile Pc applied against its price change over selected period. The best fit line has a slop of 0.51 , which may suggest that Automobile Pc market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9802.13, which is the sum of squared deviations for the predicted Automobile price change compared to its average price change.About Automobile 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 Automobile Pc 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 Automobile Pc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Automobile Pc price pattern first instead of the macroeconomic environment surrounding Automobile Pc. By analyzing Automobile'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 Automobile'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 Automobile specific price patterns or momentum indicators. Please read more on our technical analysis page.
Automobile December 2, 2024 Technical Indicators
Most technical analysis of Automobile 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 Automobile from various momentum indicators to cycle indicators. When you analyze Automobile 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 | (0.01) | |||
| Market Risk Adjusted Performance | (1.28) | |||
| Mean Deviation | 2.54 | |||
| Coefficient Of Variation | (3,875) | |||
| Standard Deviation | 3.77 | |||
| Variance | 14.22 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.74) | |||
| Treynor Ratio | (1.29) | |||
| Maximum Drawdown | 22.2 | |||
| Value At Risk | (5.81) | |||
| Potential Upside | 4.43 | |||
| Skewness | (0.41) | |||
| Kurtosis | 2.86 |
Complementary Tools for Automobile Stock analysis
When running Automobile's price analysis, check to measure Automobile'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 Automobile is operating at the current time. Most of Automobile's value examination focuses on studying past and present price action to predict the probability of Automobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automobile's price. Additionally, you may evaluate how the addition of Automobile to your portfolios can decrease your overall portfolio volatility.
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