Kubota (Germany) Technical Analysis
KUO1 Stock | EUR 11.68 0.20 1.68% |
As of the 2nd of December, Kubota secures the Mean Deviation of 1.16, risk adjusted performance of (0.06), and Standard Deviation of 1.53. Kubota 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 Kubota mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Kubota is priced some-what accurately, providing market reflects its recent price of 11.68 per share.
Kubota Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Kubota, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KubotaKubota |
Kubota 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.
Kubota 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 Kubota volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kubota Trend Analysis
Use this graph to draw trend lines for Kubota. You can use it to identify possible trend reversals for Kubota 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 Kubota price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Kubota Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Kubota applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Kubota market price will keep on failing further. It has 122 observation points and a regression sum of squares at 16.83, which is the sum of squared deviations for the predicted Kubota price change compared to its average price change.About Kubota 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 Kubota 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 Kubota based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Kubota price pattern first instead of the macroeconomic environment surrounding Kubota. By analyzing Kubota'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 Kubota'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 Kubota specific price patterns or momentum indicators. Please read more on our technical analysis page.
Kubota December 2, 2024 Technical Indicators
Most technical analysis of Kubota 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 Kubota from various momentum indicators to cycle indicators. When you analyze Kubota 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 | (0.06) | |||
Market Risk Adjusted Performance | (0.42) | |||
Mean Deviation | 1.16 | |||
Coefficient Of Variation | (1,224) | |||
Standard Deviation | 1.53 | |||
Variance | 2.34 | |||
Information Ratio | (0.17) | |||
Jensen Alpha | (0.17) | |||
Total Risk Alpha | (0.39) | |||
Treynor Ratio | (0.43) | |||
Maximum Drawdown | 8.02 | |||
Value At Risk | (2.53) | |||
Potential Upside | 2.9 | |||
Skewness | 0.4872 | |||
Kurtosis | 0.6944 |
Complementary Tools for Kubota Stock analysis
When running Kubota's price analysis, check to measure Kubota'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 Kubota is operating at the current time. Most of Kubota's value examination focuses on studying past and present price action to predict the probability of Kubota's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kubota's price. Additionally, you may evaluate how the addition of Kubota to your portfolios can decrease your overall portfolio volatility.
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