UBS ETF (UK) Statistic Functions Linear Regression Intercept

S5EE Etf   1,624  16.40  1.02%   
UBS ETF statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against UBS ETF. UBS ETF 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 Intercept function function is designed to identify and follow existing trends. UBS ETF 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.

Function
Time Period
Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Intercept is the expected mean value of UBS ETF plc price seriese where values of its benchmark or peer price series are zero.

UBS ETF Technical Analysis Modules

Most technical analysis of UBS ETF 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 UBS from various momentum indicators to cycle indicators. When you analyze UBS 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 UBS ETF 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 UBS ETF plc. We use our internally-developed statistical techniques to arrive at the intrinsic value of UBS ETF plc based on widely used predictive technical indicators. In general, we focus on analyzing UBS Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UBS ETF'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 UBS ETF's intrinsic value. In addition to deriving basic predictive indicators for UBS ETF, we also check how macroeconomic factors affect UBS ETF price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,6231,6241,625
Details
Intrinsic
Valuation
LowRealHigh
1,4621,7011,702
Details
Naive
Forecast
LowNextHigh
1,6271,6281,629
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,6031,6191,634
Details

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Other Information on Investing in UBS Etf

UBS ETF financial ratios help investors to determine whether UBS Etf 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 UBS with respect to the benefits of owning UBS ETF security.