Biontech Se Stock Statistic Functions Standard Deviation
| BNTX Stock | USD 113.13 4.90 4.53% |
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The output start index for this execution was two with a total number of output elements of fifty-nine. BioNTech SE Standard Deviation measures the spread of BioNTech time series from expected value (the mean).
BioNTech Technical Analysis Modules
Most technical analysis of BioNTech 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 BioNTech from various momentum indicators to cycle indicators. When you analyze BioNTech 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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About BioNTech 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 BioNTech SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of BioNTech SE based on widely used predictive technical indicators. In general, we focus on analyzing BioNTech Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build BioNTech'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 BioNTech's intrinsic value. In addition to deriving basic predictive indicators for BioNTech, we also check how macroeconomic factors affect BioNTech 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 BioNTech'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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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. | Entertainment Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Hedge Favorites Invested over 60 shares | |
 | Banking Invested over 20 shares | |
 | Macroaxis Picks Invested over 40 shares | |
 | Momentum Invested few shares | |
 | Investor Favorites Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Warren Buffett Holdings Invested few shares | |
Additional Tools for BioNTech Stock Analysis
When running BioNTech's price analysis, check to measure BioNTech'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 BioNTech is operating at the current time. Most of BioNTech's value examination focuses on studying past and present price action to predict the probability of BioNTech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BioNTech's price. Additionally, you may evaluate how the addition of BioNTech to your portfolios can decrease your overall portfolio volatility.