OPEN HOUSE (Germany) Statistic Functions Beta
| O4H Stock | EUR 34.60 0.40 1.14% |
| Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on OPEN HOUSE GROUP correlated with the market. If Beta is less than 0 OPEN HOUSE generally moves in the opposite direction as compared to the market. If OPEN HOUSE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one OPEN HOUSE GROUP is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of OPEN HOUSE is generally in the same direction as the market. If Beta > 1 OPEN HOUSE moves generally in the same direction as, but more than the movement of the benchmark.
OPEN HOUSE Technical Analysis Modules
Most technical analysis of OPEN HOUSE 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 OPEN from various momentum indicators to cycle indicators. When you analyze OPEN 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About OPEN HOUSE 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 OPEN HOUSE GROUP. We use our internally-developed statistical techniques to arrive at the intrinsic value of OPEN HOUSE GROUP based on widely used predictive technical indicators. In general, we focus on analyzing OPEN Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build OPEN HOUSE'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 OPEN HOUSE's intrinsic value. In addition to deriving basic predictive indicators for OPEN HOUSE, we also check how macroeconomic factors affect OPEN HOUSE 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 OPEN HOUSE 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, OPEN HOUSE's short interest history, or implied volatility extrapolated from OPEN HOUSE 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. | Entertainment Invested over 90 shares | |
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Other Information on Investing in OPEN Stock
OPEN HOUSE financial ratios help investors to determine whether OPEN Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in OPEN with respect to the benefits of owning OPEN HOUSE security.