Banking Portfolio Banking Fund Statistic Functions Standard Deviation

FSRBX Fund  USD 35.50  0.06  0.17%   
Banking Portfolio statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Banking Portfolio. Banking Portfolio 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 Standard Deviation function function is designed to identify and follow existing trends. Banking Portfolio statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. Banking Portfolio Banking Standard Deviation measures the spread of Banking Portfolio time series from expected value (the mean).

Banking Portfolio Technical Analysis Modules

Most technical analysis of Banking Portfolio 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 Banking from various momentum indicators to cycle indicators. When you analyze Banking 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 Banking Portfolio 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 Banking Portfolio Banking. We use our internally-developed statistical techniques to arrive at the intrinsic value of Banking Portfolio Banking based on widely used predictive technical indicators. In general, we focus on analyzing Banking Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Banking Portfolio'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 Banking Portfolio's intrinsic value. In addition to deriving basic predictive indicators for Banking Portfolio, we also check how macroeconomic factors affect Banking Portfolio price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
33.6135.6437.67
Details
Intrinsic
Valuation
LowRealHigh
32.6234.6536.68
Details
Naive
Forecast
LowNextHigh
33.3435.3737.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
33.5534.6935.83
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Banking Portfolio. Your research has to be compared to or analyzed against Banking Portfolio's peers to derive any actionable benefits. When done correctly, Banking Portfolio's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Banking Portfolio Banking.

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Other Information on Investing in Banking Mutual Fund

Banking Portfolio financial ratios help investors to determine whether Banking Mutual 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 Banking with respect to the benefits of owning Banking Portfolio security.
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