Quantum Software (Poland) Statistic Functions Beta
| QNT Stock | 23.20 0.20 0.85% |
| Symbol |
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Beta measures systematic risk based on how returns on Quantum Software correlated with the market. If Beta is less than 0 Quantum Software generally moves in the opposite direction as compared to the market. If Quantum Software Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Quantum Software is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Quantum Software is generally in the same direction as the market. If Beta > 1 Quantum Software moves generally in the same direction as, but more than the movement of the benchmark.
Quantum Software Technical Analysis Modules
Most technical analysis of Quantum Software 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 Quantum from various momentum indicators to cycle indicators. When you analyze Quantum charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Quantum Software Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Quantum Software SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantum Software SA based on widely used predictive technical indicators. In general, we focus on analyzing Quantum Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quantum Software's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Quantum Software's intrinsic value. In addition to deriving basic predictive indicators for Quantum Software, we also check how macroeconomic factors affect Quantum Software price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantum Software's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for Quantum Stock Analysis
When running Quantum Software's price analysis, check to measure Quantum 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 Quantum Software is operating at the current time. Most of Quantum Software's value examination focuses on studying past and present price action to predict the probability of Quantum 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 Quantum Software's price. Additionally, you may evaluate how the addition of Quantum Software to your portfolios can decrease your overall portfolio volatility.