Us E Equity Fund Statistic Functions Standard Deviation

DFQTX Fund  USD 41.44  0.04  0.1%   
Us E statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Us E. Us E 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. Us E 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 thirty-five with a total number of output elements of twenty-six. Us E Equity Standard Deviation measures the spread of Us E time series from expected value (the mean).

Us E Technical Analysis Modules

Most technical analysis of Us E 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 DFQTX from various momentum indicators to cycle indicators. When you analyze DFQTX 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 Us E 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 Us E Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Us E Equity based on widely used predictive technical indicators. In general, we focus on analyzing DFQTX Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Us E'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 Us E's intrinsic value. In addition to deriving basic predictive indicators for Us E, we also check how macroeconomic factors affect Us E price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us E's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
40.6541.4442.23
Details
Intrinsic
Valuation
LowRealHigh
40.0140.8041.59
Details
Naive
Forecast
LowNextHigh
40.6941.4842.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
38.3240.1642.00
Details

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Other Information on Investing in DFQTX Mutual Fund

Us E financial ratios help investors to determine whether DFQTX 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 DFQTX with respect to the benefits of owning Us E security.
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