Energy Fund Class Fund Statistic Functions Variance

RYEAX Fund  USD 249.59  3.10  1.26%   
Energy Fund statistic functions tool provides the execution environment for running the Variance function and other technical functions against Energy Fund. Energy 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. Energy 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 thirty-five with a total number of output elements of twenty-six. Energy Fund Class Variance is a measurement of the price spread between periods of Energy Fund price series.

Energy Fund Technical Analysis Modules

Most technical analysis of Energy 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 Energy 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 Energy Fund Class. We use our internally-developed statistical techniques to arrive at the intrinsic value of Energy Fund Class based on widely used predictive technical indicators. In general, we focus on analyzing Energy Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Energy 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 Energy Fund's intrinsic value. In addition to deriving basic predictive indicators for Energy Fund, we also check how macroeconomic factors affect Energy Fund price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.000.001.23
Details
Intrinsic
Valuation
LowRealHigh
0.000.001.23
Details
Naive
Forecast
LowNextHigh
247.29248.52249.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
223.89237.68251.47
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Energy Fund. Your research has to be compared to or analyzed against Energy Fund's peers to derive any actionable benefits. When done correctly, Energy Fund'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 Energy Fund Class.

Be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Generate Optimal Portfolios

Align your risk and return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations

Other Information on Investing in Energy Mutual Fund

Energy Fund financial ratios help investors to determine whether Energy 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 Energy with respect to the benefits of owning Energy Fund security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Commodity Directory
Find actively traded commodities issued by global exchanges