SIERRA METALS (Germany) Technical Analysis
DFXN Stock | EUR 0.56 0.03 5.66% |
As of the 22nd of December, SIERRA METALS has the coefficient of variation of 900.41, and Risk Adjusted Performance of 0.0955. SIERRA METALS technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.
SIERRA METALS Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SIERRA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SIERRASIERRA |
SIERRA METALS 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.
SIERRA METALS Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 SIERRA METALS volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SIERRA METALS Trend Analysis
Use this graph to draw trend lines for SIERRA METALS. You can use it to identify possible trend reversals for SIERRA METALS 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 SIERRA METALS price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SIERRA METALS Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SIERRA METALS applied against its price change over selected period. The best fit line has a slop of 0.0011 , which may suggest that SIERRA METALS market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.05, which is the sum of squared deviations for the predicted SIERRA METALS price change compared to its average price change.About SIERRA METALS 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 SIERRA METALS 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 SIERRA METALS based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SIERRA METALS price pattern first instead of the macroeconomic environment surrounding SIERRA METALS. By analyzing SIERRA METALS'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 SIERRA METALS'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 SIERRA METALS specific price patterns or momentum indicators. Please read more on our technical analysis page.
SIERRA METALS December 22, 2024 Technical Indicators
Most technical analysis of SIERRA 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 SIERRA from various momentum indicators to cycle indicators. When you analyze SIERRA 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.
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
Risk Adjusted Performance | 0.0955 | |||
Market Risk Adjusted Performance | (0.73) | |||
Mean Deviation | 1.81 | |||
Semi Deviation | 2.36 | |||
Downside Deviation | 5.69 | |||
Coefficient Of Variation | 900.41 | |||
Standard Deviation | 3.13 | |||
Variance | 9.77 | |||
Information Ratio | 0.1008 | |||
Jensen Alpha | 0.3473 | |||
Total Risk Alpha | 0.2496 | |||
Sortino Ratio | 0.0554 | |||
Treynor Ratio | (0.74) | |||
Maximum Drawdown | 20.93 | |||
Value At Risk | (3.57) | |||
Potential Upside | 5.66 | |||
Downside Variance | 32.36 | |||
Semi Variance | 5.59 | |||
Expected Short fall | (4.09) | |||
Skewness | (0.55) | |||
Kurtosis | 4.99 |
Additional Tools for SIERRA Stock Analysis
When running SIERRA METALS's price analysis, check to measure SIERRA METALS'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 SIERRA METALS is operating at the current time. Most of SIERRA METALS's value examination focuses on studying past and present price action to predict the probability of SIERRA METALS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SIERRA METALS's price. Additionally, you may evaluate how the addition of SIERRA METALS to your portfolios can decrease your overall portfolio volatility.