FNB ETN (South Africa) Statistic Functions Linear Regression Intercept

TSETNC Etf   3,127  58.00  1.82%   
FNB ETN statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against FNB ETN. FNB ETN 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. FNB ETN 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 twenty-nine with a total number of output elements of thirty-two. The Linear Regression Intercept is the expected mean value of FNB ETN on price seriese where values of its benchmark or peer price series are zero.

FNB ETN Technical Analysis Modules

Most technical analysis of FNB ETN 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 FNB from various momentum indicators to cycle indicators. When you analyze FNB 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 FNB ETN 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 FNB ETN on. We use our internally-developed statistical techniques to arrive at the intrinsic value of FNB ETN on based on widely used predictive technical indicators. In general, we focus on analyzing FNB Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build FNB ETN'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 FNB ETN's intrinsic value. In addition to deriving basic predictive indicators for FNB ETN, we also check how macroeconomic factors affect FNB ETN price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
3,1813,1853,189
Details
Intrinsic
Valuation
LowRealHigh
2,8663,4243,428
Details
Naive
Forecast
LowNextHigh
3,3213,3253,330
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2,9873,1643,340
Details

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Other Information on Investing in FNB Etf

FNB ETN financial ratios help investors to determine whether FNB 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 FNB with respect to the benefits of owning FNB ETN security.