S IMMO (Austria) Statistic Functions Beta

SPI Stock  EUR 22.20  0.00  0.00%   
S IMMO statistic functions tool provides the execution environment for running the Beta function and other technical functions against S IMMO. S IMMO value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. S IMMO statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was sixty with a total number of output elements of one. The Beta measures systematic risk based on how returns on S IMMO AG correlated with the market. If Beta is less than 0 S IMMO generally moves in the opposite direction as compared to the market. If S IMMO Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one S IMMO AG is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of S IMMO is generally in the same direction as the market. If Beta > 1 S IMMO moves generally in the same direction as, but more than the movement of the benchmark.

S IMMO Technical Analysis Modules

Most technical analysis of S IMMO 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 SPI from various momentum indicators to cycle indicators. When you analyze SPI 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.

About S IMMO 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 S IMMO AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of S IMMO AG based on widely used predictive technical indicators. In general, we focus on analyzing SPI Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build S IMMO'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 S IMMO's intrinsic value. In addition to deriving basic predictive indicators for S IMMO, we also check how macroeconomic factors affect S IMMO price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
21.6322.2022.77
Details
Intrinsic
Valuation
LowRealHigh
19.1719.7424.42
Details
Naive
Forecast
LowNextHigh
21.6322.2022.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.9422.1422.34
Details

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 S IMMO 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, S IMMO's short interest history, or implied volatility extrapolated from S IMMO options trading.

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Other Information on Investing in SPI Stock

S IMMO financial ratios help investors to determine whether SPI 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 SPI with respect to the benefits of owning S IMMO security.