Hodges Fund Retail Fund Statistic Functions Variance

HDPMX Fund  USD 80.96  1.86  2.25%   
Hodges Fund statistic functions tool provides the execution environment for running the Variance function and other technical functions against Hodges Fund. Hodges Fund 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 Variance function function is designed to identify and follow existing trends. Hodges Fund 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 twenty-three with a total number of output elements of thirty-eight. Hodges Fund Retail Variance is a measurement of the price spread between periods of Hodges Fund price series.

Hodges Fund Technical Analysis Modules

Most technical analysis of Hodges Fund 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 Hodges from various momentum indicators to cycle indicators. When you analyze Hodges 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 Hodges Fund 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 Hodges Fund Retail. We use our internally-developed statistical techniques to arrive at the intrinsic value of Hodges Fund Retail based on widely used predictive technical indicators. In general, we focus on analyzing Hodges Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hodges Fund'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 Hodges Fund's intrinsic value. In addition to deriving basic predictive indicators for Hodges Fund, we also check how macroeconomic factors affect Hodges Fund price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
78.9980.9682.93
Details
Intrinsic
Valuation
LowRealHigh
72.8685.9687.93
Details
Naive
Forecast
LowNextHigh
79.8081.7683.73
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
78.4681.5384.61
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hodges Fund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hodges Fund's short interest history, or implied volatility extrapolated from Hodges Fund options trading.

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Other Information on Investing in Hodges Mutual Fund

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