FIDELITY ADVISOR Mutual Fund Forward View

FACDX Fund  USD 51.38  -0.76  -1.46%   
Fidelity Advisor Health's Naive Prediction reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for FIDELITY ADVISOR. This page is updated as new daily closing prices become available for FIDELITY ADVISOR.
The Naive Prediction forecasted value of Fidelity Advisor Health on the next trading day is expected to be 49.57 with a mean absolute deviation of 0.56 and the sum of the absolute errors of 34.24.This model is not at all useful as a medium-long range forecasting tool of Fidelity Advisor Health. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict FIDELITY ADVISOR. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. All Naive Prediction forecast figures shown for Fidelity Advisor Health are reference data reflecting model output based on available historical prices.
A naive forecasting model for FIDELITY ADVISOR is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Fidelity Advisor Health value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 25th of March

Given 90 days horizon, the Naive Prediction forecasted value of Fidelity Advisor Health on the next trading day is expected to be 49.57 with a mean absolute deviation of 0.56 , mean absolute percentage error of 0.50 , and the sum of the absolute errors of 34.24 .
Please note that although there have been many attempts to predict FIDELITY 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 FIDELITY ADVISOR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest FIDELITY ADVISOR  FIDELITY ADVISOR Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates FIDELITY ADVISOR'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.
Market Value
51.38
49.57
Expected Value
50.56
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of FIDELITY ADVISOR mutual fund data series using in forecasting. Note that when a statistical model is used to represent FIDELITY ADVISOR 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 Criteria117.4159
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5613
MAPEMean absolute percentage error0.0101
SAESum of the absolute errors34.2364
This model is not at all useful as a medium-long range forecasting tool of Fidelity Advisor Health. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict FIDELITY ADVISOR. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Other Forecasting Options for FIDELITY ADVISOR

Bollinger Bands applied to FIDELITY Mutual Fund price data measure how far FIDELITY has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to FIDELITY ADVISOR's price data. On-balance volume for FIDELITY Mutual Fund creates a running indicator of buying versus selling pressure in FIDELITY. Price departures from the channel boundary often mean-revert, offering tactical signals for FIDELITY ADVISOR's.

FIDELITY ADVISOR Related Equities

These related stocks within the Health space give benchmarks for judging FIDELITY ADVISOR's results, margins, and growth trend. Looking at FIDELITY ADVISOR's pricing multiples next to these peers shows if the stock trades at a premium or discount.
 Risk & Return  Correlation

FIDELITY ADVISOR Market Strength Events

For investors tracking Fidelity Advisor Health, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around Fidelity Advisor Health positions. These indicators capture shifts in momentum that may precede significant price moves in FIDELITY ADVISOR. These metrics provide actionable context for both entry and risk management decisions around Fidelity Advisor Health.

FIDELITY ADVISOR Risk Indicators

Analyzing FIDELITY ADVISOR's basic risk indicators provides investors with a structured view of the risk-return trade-off for fidelity mutual fund. By identifying the level of risk embedded in FIDELITY ADVISOR's investment, investors can make informed decisions about position sizing. Analyzing FIDELITY ADVISOR's risk indicators gives investors important context for price forecasting. Understanding the risk in FIDELITY ADVISOR's investment allows investors to make informed choices about mitigating 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 FIDELITY ADVISOR

A coverage review of Fidelity Advisor Health 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.