SMA Solar (Germany) Technical Analysis
| S92 Stock | EUR 11.56 0.39 3.26% |
As of the 23rd of November, SMA Solar owns the risk adjusted performance of (0.19), and Standard Deviation of 3.52. In relation to fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SMA Solar Technology, as well as the relationship between them. Please validate SMA Solar Technology variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if SMA Solar Technology is priced more or less accurately, providing market reflects its prevailing price of 11.56 per share.
SMA Solar Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SMA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SMASMA |
SMA Solar 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.
SMA Solar Technology Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 SMA Solar Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SMA Solar Technology Trend Analysis
Use this graph to draw trend lines for SMA Solar Technology. You can use it to identify possible trend reversals for SMA Solar 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 SMA Solar price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SMA Solar Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SMA Solar Technology applied against its price change over selected period. The best fit line has a slop of 0.12 , which may suggest that SMA Solar Technology market price will keep on failing further. It has 122 observation points and a regression sum of squares at 569.49, which is the sum of squared deviations for the predicted SMA Solar price change compared to its average price change.About SMA Solar 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 SMA Solar 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 SMA Solar Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SMA Solar Technology price pattern first instead of the macroeconomic environment surrounding SMA Solar Technology. By analyzing SMA Solar'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 SMA Solar'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 SMA Solar specific price patterns or momentum indicators. Please read more on our technical analysis page.
SMA Solar November 23, 2024 Technical Indicators
Most technical analysis of SMA 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 SMA from various momentum indicators to cycle indicators. When you analyze SMA 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 | (0.19) | |||
| Market Risk Adjusted Performance | 40.28 | |||
| Mean Deviation | 2.52 | |||
| Coefficient Of Variation | (390.68) | |||
| Standard Deviation | 3.52 | |||
| Variance | 12.37 | |||
| Information Ratio | (0.29) | |||
| Jensen Alpha | (0.91) | |||
| Total Risk Alpha | (1.46) | |||
| Treynor Ratio | 40.27 | |||
| Maximum Drawdown | 25.26 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 3.98 | |||
| Skewness | (0.12) | |||
| Kurtosis | 3.78 |
Complementary Tools for SMA Stock analysis
When running SMA Solar's price analysis, check to measure SMA Solar'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 SMA Solar is operating at the current time. Most of SMA Solar's value examination focuses on studying past and present price action to predict the probability of SMA Solar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SMA Solar's price. Additionally, you may evaluate how the addition of SMA Solar to your portfolios can decrease your overall portfolio volatility.
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