EQUITY GROWTH Mutual Fund Forward View - Simple Moving Average

AMEIX Fund  USD 33.75  -0.20  -0.59%   
The Simple Moving Average forecast shown here for EQUITY GROWTH 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 Equity Growth Fund on the next trading day is expected to be 33.75 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.13.The simple moving average model is conceptually a linear regression of the current value of Equity Growth Fund price series against current and previous (unobserved) value of EQUITY GROWTH. 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 EQUITY GROWTH presents model-generated projections from historical price data for informational purposes.
A two period moving average forecast for EQUITY GROWTH 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 26th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Equity Growth Fund on the next trading day is expected to be 33.75 with a mean absolute deviation of 0.25 , mean absolute percentage error of 0.1 , and the sum of the absolute errors of 15.13 .
Please note that although there have been many attempts to predict EQUITY 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 EQUITY GROWTH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest EQUITY GROWTH  EQUITY GROWTH Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates EQUITY GROWTH's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 32.91 and upside around 34.59 for the forecasting period.
Market Value
33.75
33.75
Expected Value
34.59
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 EQUITY GROWTH mutual fund data series using in forecasting. Note that when a statistical model is used to represent EQUITY GROWTH 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 Criteria113.953
BiasArithmetic mean of the errors 0.0623
MADMean absolute deviation0.2522
MAPEMean absolute percentage error0.0071
SAESum of the absolute errors15.13
The simple moving average model is conceptually a linear regression of the current value of Equity Growth Fund price series against current and previous (unobserved) value of EQUITY GROWTH. 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 EQUITY GROWTH

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

EQUITY GROWTH Related Equities

EQUITY GROWTH's market space within the Large Blend space is best grasped by looking at the firms listed below. Return on equity across these peers shows how well each firm turns capital into profit. Peer pricing works best when the firms compared share similar business models and end markets. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
 Risk & Return  Correlation

EQUITY GROWTH Market Strength Events

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

EQUITY GROWTH Risk Indicators

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

A coverage review of Equity Growth Fund shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

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.