Schindler (Switzerland) Statistic Functions Beta
SCHP Stock | CHF 259.20 1.60 0.61% |
Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Schindler Ps correlated with the market. If Beta is less than 0 Schindler generally moves in the opposite direction as compared to the market. If Schindler Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Schindler Ps is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Schindler is generally in the same direction as the market. If Beta > 1 Schindler moves generally in the same direction as, but more than the movement of the benchmark.
Schindler Technical Analysis Modules
Most technical analysis of Schindler 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 Schindler from various momentum indicators to cycle indicators. When you analyze Schindler 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 Schindler 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 Schindler Ps. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schindler Ps based on widely used predictive technical indicators. In general, we focus on analyzing Schindler Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schindler'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 Schindler's intrinsic value. In addition to deriving basic predictive indicators for Schindler, we also check how macroeconomic factors affect Schindler price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Additional Tools for Schindler Stock Analysis
When running Schindler's price analysis, check to measure Schindler'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 Schindler is operating at the current time. Most of Schindler's value examination focuses on studying past and present price action to predict the probability of Schindler's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schindler's price. Additionally, you may evaluate how the addition of Schindler to your portfolios can decrease your overall portfolio volatility.