ULTRA CLEAN (Germany) Statistic Functions Linear Regression Slope

UCE Stock  EUR 36.20  0.60  1.69%   
ULTRA CLEAN statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against ULTRA CLEAN. ULTRA CLEAN 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 Linear Regression Slope function function is designed to identify and follow existing trends. ULTRA CLEAN 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.

Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression Slope is the rate of change in ULTRA CLEAN HLDGS price series over its benchmark or peer price series.

ULTRA CLEAN Technical Analysis Modules

Most technical analysis of ULTRA CLEAN 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 ULTRA from various momentum indicators to cycle indicators. When you analyze ULTRA 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 ULTRA CLEAN 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 ULTRA CLEAN HLDGS. We use our internally-developed statistical techniques to arrive at the intrinsic value of ULTRA CLEAN HLDGS based on widely used predictive technical indicators. In general, we focus on analyzing ULTRA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ULTRA CLEAN'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 ULTRA CLEAN's intrinsic value. In addition to deriving basic predictive indicators for ULTRA CLEAN, we also check how macroeconomic factors affect ULTRA CLEAN price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
33.0036.2039.40
Details
Intrinsic
Valuation
LowRealHigh
26.0729.2739.82
Details
Naive
Forecast
LowNextHigh
31.7534.9538.15
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
30.7833.9737.17
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 ULTRA CLEAN 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, ULTRA CLEAN's short interest history, or implied volatility extrapolated from ULTRA CLEAN options trading.

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Other Information on Investing in ULTRA Stock

ULTRA CLEAN financial ratios help investors to determine whether ULTRA 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 ULTRA with respect to the benefits of owning ULTRA CLEAN security.