Schweiter Technologies (Switzerland) Statistic Functions Beta
| SWTQ Stock | CHF 400.50 6.00 1.48% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Schweiter Technologies correlated with the market. If Beta is less than 0 Schweiter Technologies generally moves in the opposite direction as compared to the market. If Schweiter Technologies Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Schweiter Technologies is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Schweiter Technologies is generally in the same direction as the market. If Beta > 1 Schweiter Technologies moves generally in the same direction as, but more than the movement of the benchmark.
Schweiter Technologies Technical Analysis Modules
Most technical analysis of Schweiter Technologies 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 Schweiter from various momentum indicators to cycle indicators. When you analyze Schweiter 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 Schweiter Technologies 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 Schweiter Technologies AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schweiter Technologies AG based on widely used predictive technical indicators. In general, we focus on analyzing Schweiter Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schweiter Technologies'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 Schweiter Technologies's intrinsic value. In addition to deriving basic predictive indicators for Schweiter Technologies, we also check how macroeconomic factors affect Schweiter Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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 Schweiter Technologies 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, Schweiter Technologies' short interest history, or implied volatility extrapolated from Schweiter Technologies options trading.
Trending Themes
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Additional Tools for Schweiter Stock Analysis
When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' 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 Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.