S IMMO (Austria) Technical Analysis
| SPI Stock | EUR 22.20 0.10 0.45% |
As of the 3rd of December, S IMMO has the Risk Adjusted Performance of (0.06), market risk adjusted performance of (1.05), and Standard Deviation of 0.6058. In respect to fundamental indicators, the technical analysis model makes it possible for you to check timely technical drivers of S IMMO AG, as well as the relationship between them.
S IMMO Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPISPI |
S IMMO 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.
S IMMO AG Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-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 S IMMO AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
S IMMO AG Trend Analysis
Use this graph to draw trend lines for S IMMO AG. You can use it to identify possible trend reversals for S IMMO 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 S IMMO price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.S IMMO Best Fit Change Line
The following chart estimates an ordinary least squares regression model for S IMMO AG applied against its price change over selected period. The best fit line has a slop of 0 , which means S IMMO AG will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted S IMMO price change compared to its average price change.About S IMMO 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 S IMMO AG 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 S IMMO AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on S IMMO AG price pattern first instead of the macroeconomic environment surrounding S IMMO AG. By analyzing S IMMO'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 S IMMO'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 S IMMO specific price patterns or momentum indicators. Please read more on our technical analysis page.
S IMMO December 3, 2024 Technical Indicators
Most technical analysis of SPI 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 SPI from various momentum indicators to cycle indicators. When you analyze SPI 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 | (1.05) | |||
| Mean Deviation | 0.4693 | |||
| Coefficient Of Variation | (1,340) | |||
| Standard Deviation | 0.6058 | |||
| Variance | 0.367 | |||
| Information Ratio | (0.28) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (1.06) | |||
| Maximum Drawdown | 2.71 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 0.905 | |||
| Skewness | (0.35) | |||
| Kurtosis | 0.2066 |
Complementary Tools for SPI Stock analysis
When running S IMMO's price analysis, check to measure S IMMO'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 S IMMO is operating at the current time. Most of S IMMO's value examination focuses on studying past and present price action to predict the probability of S IMMO's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S IMMO's price. Additionally, you may evaluate how the addition of S IMMO to your portfolios can decrease your overall portfolio volatility.
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