FIDELITY VALUE Mutual Fund Forward View
| FVDFX Fund | USD 39.00 0.25 0.65% |
FIDELITY VALUE's Naive Prediction reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Naive Prediction forecasted value of Fidelity Value Discovery on the next trading day is expected to be 39.08 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.84.This model is not at all useful as a medium-long range forecasting tool of Fidelity Value Discovery. 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 VALUE. 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. FIDELITY VALUE's Naive Prediction reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Naive Prediction Price Forecast For the 25th of March
Given 90 days horizon, the Naive Prediction forecasted value of Fidelity Value Discovery on the next trading day is expected to be 39.08 with a mean absolute deviation of 0.19 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 11.84 .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 VALUE'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 VALUE | FIDELITY VALUE Price Prediction | Research Analysis |
Forecasted Value
Forecasting Fidelity Value Discovery for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 VALUE mutual fund data series using in forecasting. Note that when a statistical model is used to represent FIDELITY VALUE 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 | 117.0476 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.191 |
| MAPE | Mean absolute percentage error | 0.0048 |
| SAE | Sum of the absolute errors | 11.8422 |
Other Forecasting Options for FIDELITY VALUE
Analyzing FIDELITY VALUE's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in FIDELITY VALUE's chart can signal overbought or oversold conditions.FIDELITY VALUE Related Equities
Sizing up FIDELITY VALUE against these stocks within the Large Value space shows how it compares on key financial measures. Profit comparisons show whether FIDELITY VALUE earns above or below average returns next to its peers. Persistent outperformance or underperformance by specific peers relative to FIDELITY VALUE often signals structural advantages or weaknesses. This peer set gives the context needed for a well-rounded view of FIDELITY VALUE.
| Risk & Return | Correlation |
FIDELITY VALUE Market Strength Events
Market strength indicators for FIDELITY VALUE mutual fund provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade FIDELITY VALUE.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 39.0 | |||
| Day Typical Price | 39.0 | |||
| Price Action Indicator | 0.13 | |||
| Period Momentum Indicator | 0.25 | |||
| Relative Strength Index | 41.76 |
FIDELITY VALUE Risk Indicators
Assessing FIDELITY VALUE's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting FIDELITY VALUE's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 0.5248 | |||
| Semi Deviation | 0.672 | |||
| Standard Deviation | 0.6707 | |||
| Variance | 0.4498 | |||
| Downside Variance | 0.528 | |||
| Semi Variance | 0.4516 | |||
| Expected Short fall | -0.55 |
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 VALUE
A coverage review of Fidelity Value Discovery shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.
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.