SMA Solar (Germany) Technical Analysis
S92 Stock | EUR 22.00 1.26 6.08% |
As of the 27th of July, SMA Solar owns the risk adjusted performance of 0.1383, and Downside Deviation of 3.13. 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 coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if SMA Solar Technology is priced more or less accurately, providing market reflects its prevailing price of 22.0 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 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 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 0.05 , which means SMA Solar Technology will continue generating value for investors. It has 122 observation points and a regression sum of squares at 114.24, 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 July 27, 2025 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 | 0.1383 | |||
Market Risk Adjusted Performance | 17.54 | |||
Mean Deviation | 3.46 | |||
Semi Deviation | 2.83 | |||
Downside Deviation | 3.13 | |||
Coefficient Of Variation | 596.06 | |||
Standard Deviation | 4.28 | |||
Variance | 18.33 | |||
Information Ratio | 0.1189 | |||
Jensen Alpha | 0.7003 | |||
Total Risk Alpha | (0.39) | |||
Sortino Ratio | 0.1625 | |||
Treynor Ratio | 17.53 | |||
Maximum Drawdown | 20.79 | |||
Value At Risk | (4.59) | |||
Potential Upside | 7.63 | |||
Downside Variance | 9.81 | |||
Semi Variance | 7.99 | |||
Expected Short fall | (4.38) | |||
Skewness | 0.823 | |||
Kurtosis | 0.766 |
SMA Solar July 27, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SMA stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.09 | ||
Daily Balance Of Power | 0.67 | ||
Rate Of Daily Change | 1.06 | ||
Day Median Price | 21.06 | ||
Day Typical Price | 21.37 | ||
Price Action Indicator | 1.57 | ||
Market Facilitation Index | 1.88 |
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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