Health Care Fund Statistic Functions Time Series Forecast

RYHCX Fund  USD 30.51  0.19  0.63%   
Health Care statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against Health Care. Health Care 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 Time Series Forecast function function is designed to identify and follow existing trends. Health Care 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.

Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Time Series Forecast uses simple linear regression to derive Health Care Fund best fit line over a given time period and plot it forward over user-defined time period.

Health Care Technical Analysis Modules

Most technical analysis of Health Care 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 HEALTH from various momentum indicators to cycle indicators. When you analyze HEALTH 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 Health Care 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 Health Care Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Health Care Fund based on widely used predictive technical indicators. In general, we focus on analyzing HEALTH Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Health Care'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 Health Care's intrinsic value. In addition to deriving basic predictive indicators for Health Care, we also check how macroeconomic factors affect Health Care 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 Health Care'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
29.7930.5131.23
Details
Intrinsic
Valuation
LowRealHigh
29.8030.5231.24
Details
Naive
Forecast
LowNextHigh
30.2030.9231.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.7829.8330.88
Details

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Other Information on Investing in HEALTH Mutual Fund

Health Care financial ratios help investors to determine whether HEALTH 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 HEALTH with respect to the benefits of owning Health Care security.
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