HEALTH CARE Mutual Fund Forward View - Simple Moving Average
| RYHIX Fund | USD 128.62 -0.14 -0.11% |
The Simple Moving Average forecast shown here for HEALTH CARE is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Moving Average output serves as one input among many for analytical review.
The Simple Moving Average forecasted value of Health Care Fund on the next trading day is expected to be 128.62 with a mean absolute deviation of 1.06 and the sum of the absolute errors of 63.45.The simple moving average model is conceptually a linear regression of the current value of Health Care Fund price series against current and previous (unobserved) value of HEALTH CARE. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for HEALTH CARE presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 26th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Health Care Fund on the next trading day is expected to be 128.62 with a mean absolute deviation of 1.06 , mean absolute percentage error of 1.76 , and the sum of the absolute errors of 63.45 .Please note that although there have been many attempts to predict HEALTH Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that HEALTH CARE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest HEALTH CARE | HEALTH CARE Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates HEALTH CARE's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of HEALTH CARE mutual fund data series using in forecasting. Note that when a statistical model is used to represent HEALTH CARE mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.8359 |
| Bias | Arithmetic mean of the errors | 0.2775 |
| MAD | Mean absolute deviation | 1.0575 |
| MAPE | Mean absolute percentage error | 0.0077 |
| SAE | Sum of the absolute errors | 63.45 |
Other Forecasting Options for HEALTH CARE
The distribution of HEALTH CARE's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in HEALTH CARE's chart that simple price charts miss. The slope of HEALTH CARE's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in HEALTH.HEALTH CARE Related Equities
The peer firms below within the Health space can help frame HEALTH CARE's pricing and running costs in context. Revenue and margin checks across this group help investors set expectations for HEALTH CARE's results.
| Risk & Return | Correlation |
HEALTH CARE Market Strength Events
Market strength indicators for HEALTH CARE give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Health Care Fund. Market strength analysis for Health Care Fund works best when combined with volume and volatility data. For HEALTH CARE, strength indicators are a practical complement to price and fundamental analysis.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 128.62 | |||
| Day Typical Price | 128.62 | |||
| Price Action Indicator | -0.07 | |||
| Period Momentum Indicator | -0.14 | |||
| Relative Strength Index | 34.05 |
HEALTH CARE Risk Indicators
A thorough review of HEALTH CARE's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in HEALTH CARE's allows investors to make better decisions about entry, sizing, and hedging. The assessment of HEALTH CARE's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in HEALTH CARE's provides context to choose between accepting or hedging exposure.
| Mean Deviation | 0.6579 | |||
| Standard Deviation | 0.8619 | |||
| Variance | 0.7428 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for HEALTH CARE
A coverage review of Health Care Fund shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.