Quantum Genomics (France) Statistic Functions Beta
| ALQGC Stock | EUR 0.07 0 1.77% |
| 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 Genomics correlated with the market. If Beta is less than 0 Quantum Genomics generally moves in the opposite direction as compared to the market. If Quantum Genomics Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Quantum Genomics is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Quantum Genomics is generally in the same direction as the market. If Beta > 1 Quantum Genomics moves generally in the same direction as, but more than the movement of the benchmark.
Quantum Genomics Technical Analysis Modules
Most technical analysis of Quantum Genomics 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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| Volume Indicators |
About Quantum Genomics 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 Genomics SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantum Genomics 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 Genomics'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 Genomics's intrinsic value. In addition to deriving basic predictive indicators for Quantum Genomics, we also check how macroeconomic factors affect Quantum Genomics 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 Genomics' 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Quantum Genomics in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Quantum Genomics' short interest history, or implied volatility extrapolated from Quantum Genomics options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Gambling Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Warren Buffett Holdings Invested over 60 shares | |
 | Hedge Favorites Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Investor Favorites Invested over 40 shares | |
 | Disruptive Technologies Invested few shares | |
 | Cash Cows Invested few shares | |
 | Automobiles and Trucks Invested over 50 shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | Business Services Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Momentum Invested few shares |
Additional Tools for Quantum Stock Analysis
When running Quantum Genomics' price analysis, check to measure Quantum Genomics' 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 Genomics is operating at the current time. Most of Quantum Genomics' value examination focuses on studying past and present price action to predict the probability of Quantum Genomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Genomics' price. Additionally, you may evaluate how the addition of Quantum Genomics to your portfolios can decrease your overall portfolio volatility.