SISF BRIC (Germany) Statistic Functions Linear Regression Angle

SRVQ Fund  EUR 212.90  0.22  0.10%   
SISF BRIC statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against SISF BRIC. SISF BRIC 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 Angle function function is designed to identify and follow existing trends. SISF BRIC 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 nineteen with a total number of output elements of fourty-two. The Linear Regression Angle indicator plots the angel of the trend line for each SISF BRIC AC data point.

SISF BRIC Technical Analysis Modules

Most technical analysis of SISF BRIC 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 SISF from various momentum indicators to cycle indicators. When you analyze SISF 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 SISF BRIC 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 SISF BRIC AC. We use our internally-developed statistical techniques to arrive at the intrinsic value of SISF BRIC AC based on widely used predictive technical indicators. In general, we focus on analyzing SISF Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SISF BRIC'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 SISF BRIC's intrinsic value. In addition to deriving basic predictive indicators for SISF BRIC, we also check how macroeconomic factors affect SISF BRIC price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
211.63212.90214.17
Details
Intrinsic
Valuation
LowRealHigh
196.28197.55234.19
Details
Naive
Forecast
LowNextHigh
211.30212.57213.85
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
210.19215.14220.08
Details

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Other Information on Investing in SISF Fund

SISF BRIC financial ratios help investors to determine whether SISF Fund 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 SISF with respect to the benefits of owning SISF BRIC security.
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