KGHM Polska (Germany) Technical Analysis
KGHA Stock | EUR 29.53 0.25 0.85% |
As of the 22nd of November, KGHM Polska secures the risk adjusted performance of (0.03), and Mean Deviation of 1.9. KGHM Polska Miedz 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 KGHM Polska Miedz standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if KGHM Polska Miedz is priced fairly, providing market reflects its recent price of 29.53 per share.
KGHM Polska Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as KGHM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KGHMKGHM |
KGHM Polska 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.
KGHM Polska Miedz Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 KGHM Polska Miedz volatility. High ATR values indicate high volatility, and low values indicate low volatility.
KGHM Polska Miedz Trend Analysis
Use this graph to draw trend lines for KGHM Polska Miedz. You can use it to identify possible trend reversals for KGHM Polska 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 KGHM Polska price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.KGHM Polska Best Fit Change Line
The following chart estimates an ordinary least squares regression model for KGHM Polska Miedz applied against its price change over selected period. The best fit line has a slop of 0.0082 , which may suggest that KGHM Polska Miedz market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.57, which is the sum of squared deviations for the predicted KGHM Polska price change compared to its average price change.About KGHM Polska 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 KGHM Polska Miedz 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 KGHM Polska Miedz based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on KGHM Polska Miedz price pattern first instead of the macroeconomic environment surrounding KGHM Polska Miedz. By analyzing KGHM Polska'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 KGHM Polska'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 KGHM Polska specific price patterns or momentum indicators. Please read more on our technical analysis page.
KGHM Polska November 22, 2024 Technical Indicators
Most technical analysis of KGHM 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 KGHM from various momentum indicators to cycle indicators. When you analyze KGHM 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 | (0.03) | |||
Market Risk Adjusted Performance | 2.07 | |||
Mean Deviation | 1.9 | |||
Coefficient Of Variation | (2,295) | |||
Standard Deviation | 2.4 | |||
Variance | 5.75 | |||
Information Ratio | (0.09) | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.43) | |||
Treynor Ratio | 2.06 | |||
Maximum Drawdown | 11.51 | |||
Value At Risk | (3.24) | |||
Potential Upside | 3.74 | |||
Skewness | (0.22) | |||
Kurtosis | 0.1443 |
Complementary Tools for KGHM Stock analysis
When running KGHM Polska's price analysis, check to measure KGHM Polska'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 KGHM Polska is operating at the current time. Most of KGHM Polska's value examination focuses on studying past and present price action to predict the probability of KGHM Polska's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KGHM Polska's price. Additionally, you may evaluate how the addition of KGHM Polska to your portfolios can decrease your overall portfolio volatility.
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