STOCK INDEX Mutual Fund Forward View - Simple Moving Average

HSTIX Fund  USD 46.42  -0.82  -1.74%   
The Simple Moving Average forecast shown here for STOCK INDEX 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 fund Index Fund on the next trading day is expected to be 46.42 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.85.The simple moving average model is conceptually a linear regression of the current value of Stock Index Fund price series against current and previous (unobserved) value of STOCK INDEX. 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 STOCK INDEX presents model-generated projections from historical price data for informational purposes.
A two period moving average forecast for STOCK INDEX is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Simple Moving Average Price Forecast For the 28th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Stock Index Fund on the next trading day is expected to be 46.42 with a mean absolute deviation of 0.31 , mean absolute percentage error of 0.16 , and the sum of the absolute errors of 18.85 .
Please note that although there have been many attempts to predict STOCK 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 STOCK INDEX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates STOCK INDEX's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
46.42
46.42
Expected Value
47.22
Upside

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 STOCK INDEX mutual fund data series using in forecasting. Note that when a statistical model is used to represent STOCK INDEX 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.
AICAkaike Information Criteria114.4551
BiasArithmetic mean of the errors 0.0733
MADMean absolute deviation0.3142
MAPEMean absolute percentage error0.0065
SAESum of the absolute errors18.855
The simple moving average model is conceptually a linear regression of the current value of Stock Index Fund price series against current and previous (unobserved) value of STOCK INDEX. 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

Other Forecasting Options for STOCK INDEX

The distribution of STOCK INDEX's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in STOCK INDEX's chart that simple price charts miss. The slope of STOCK INDEX's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in STOCK.

STOCK INDEX Related Equities

These firms work in a similar space as STOCK INDEX within the Large Blend space and serve as useful points for comparison. Checking cash flow across this peer set helps gauge STOCK INDEX's relative financial strength.
 Risk & Return  Correlation

STOCK INDEX Market Strength Events

Market strength indicators for STOCK INDEX give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Stock Index Fund. Market strength analysis for Stock Index Fund works best when combined with volume and volatility data. For STOCK INDEX, strength indicators are a practical complement to price and fundamental analysis.

STOCK INDEX Risk Indicators

A thorough review of STOCK INDEX's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in STOCK INDEX's allows investors to make better decisions about entry, sizing, and hedging. The assessment of STOCK INDEX's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in STOCK INDEX's provides context to choose between accepting or hedging exposure.
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 STOCK INDEX

A coverage review of Stock Index 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.