Sqs Software (Germany) Technical Analysis
| SQS Stock | 2.98 0.09 2.93% |
As of the 12th of December 2024, Sqs Software has the Coefficient Of Variation of (476.57), variance of 9.58, and Risk Adjusted Performance of (0.14). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sqs Software Quality, as well as the relationship between them.
Sqs Software Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sqs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SqsSqs |
Sqs Software 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.
Sqs Software Quality 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 Sqs Software Quality volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sqs Software Quality Trend Analysis
Use this graph to draw trend lines for Sqs Software Quality. You can use it to identify possible trend reversals for Sqs Software 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 Sqs Software price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sqs Software Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sqs Software Quality applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that Sqs Software Quality market price will keep on failing further. It has 122 observation points and a regression sum of squares at 24.38, which is the sum of squared deviations for the predicted Sqs Software price change compared to its average price change.About Sqs Software 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 Sqs Software Quality 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 Sqs Software Quality based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sqs Software Quality price pattern first instead of the macroeconomic environment surrounding Sqs Software Quality. By analyzing Sqs Software'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 Sqs Software'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 Sqs Software specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sqs Software December 12, 2024 Technical Indicators
Most technical analysis of Sqs 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 Sqs from various momentum indicators to cycle indicators. When you analyze Sqs 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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| Math Transform | ||
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| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.14) | |||
| Market Risk Adjusted Performance | 1.39 | |||
| Mean Deviation | 2.13 | |||
| Coefficient Of Variation | (476.57) | |||
| Standard Deviation | 3.09 | |||
| Variance | 9.58 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.60) | |||
| Total Risk Alpha | (1.15) | |||
| Treynor Ratio | 1.38 | |||
| Maximum Drawdown | 22.11 | |||
| Value At Risk | (5.49) | |||
| Potential Upside | 2.67 | |||
| Skewness | (0.62) | |||
| Kurtosis | 4.72 |
Additional Tools for Sqs Stock Analysis
When running Sqs Software's price analysis, check to measure Sqs Software'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 Sqs Software is operating at the current time. Most of Sqs Software's value examination focuses on studying past and present price action to predict the probability of Sqs Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sqs Software's price. Additionally, you may evaluate how the addition of Sqs Software to your portfolios can decrease your overall portfolio volatility.