Sap Se Stock Statistic Functions Beta
| SAPGF Stock | USD 188.00 3.13 1.69% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on SAP SE correlated with the market. If Beta is less than 0 SAP SE generally moves in the opposite direction as compared to the market. If SAP SE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one SAP SE is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of SAP SE is generally in the same direction as the market. If Beta > 1 SAP SE moves generally in the same direction as, but more than the movement of the benchmark.
SAP SE Technical Analysis Modules
Most technical analysis of SAP SE 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 SAP from various momentum indicators to cycle indicators. When you analyze SAP 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SAP SE 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 SAP SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of SAP SE based on widely used predictive technical indicators. In general, we focus on analyzing SAP Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SAP SE'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 SAP SE's intrinsic value. In addition to deriving basic predictive indicators for SAP SE, we also check how macroeconomic factors affect SAP SE 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 SAP SE'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.
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 SAP SE 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, SAP SE's short interest history, or implied volatility extrapolated from SAP SE 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. | Business Services Invested over 100 shares | |
 | Momentum Invested over 60 shares | |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SAP SE. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. Note that the SAP SE information on this page should be used as a complementary analysis to other SAP SE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Complementary Tools for SAP Pink Sheet analysis
When running SAP SE's price analysis, check to measure SAP SE'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 SAP SE is operating at the current time. Most of SAP SE's value examination focuses on studying past and present price action to predict the probability of SAP SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SAP SE's price. Additionally, you may evaluate how the addition of SAP SE to your portfolios can decrease your overall portfolio volatility.
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