FIDELITY INTERNATIONAL Mutual Fund Forward View - Simple Moving Average

FICSX Fund  USD 34.35  -0.23  -0.67%   
This page provides reference data for FIDELITY INTERNATIONAL using Simple Moving Average forecasting. The projected value and error metrics are calculated from available daily price observations.
The Simple Moving Average forecasted value of Fidelity International Small on the next trading day is expected to be 34.35 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.74.The simple moving average model is conceptually a linear regression of the current value of Fidelity International Small price series against current and previous (unobserved) value of FIDELITY INTERNATIONAL. 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 FIDELITY INTERNATIONAL presents model-generated projections from historical price data for informational purposes.
A two period moving average forecast for FIDELITY INTERNATIONAL 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 20th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Fidelity International Small on the next trading day is expected to be 34.35 with a mean absolute deviation of 0.25 , mean absolute percentage error of 0.12 , and the sum of the absolute errors of 14.74 .
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 INTERNATIONAL'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 INTERNATIONAL  FIDELITY INTERNATIONAL Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Fidelity International Small uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
34.35
34.35
Expected Value
35.15
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 FIDELITY INTERNATIONAL mutual fund data series using in forecasting. Note that when a statistical model is used to represent FIDELITY INTERNATIONAL 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 Criteria114.1816
BiasArithmetic mean of the errors -0.0035
MADMean absolute deviation0.2457
MAPEMean absolute percentage error0.0069
SAESum of the absolute errors14.74
The simple moving average model is conceptually a linear regression of the current value of Fidelity International Small price series against current and previous (unobserved) value of FIDELITY INTERNATIONAL. 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 FIDELITY INTERNATIONAL

For investors considering FIDELITY, FIDELITY INTERNATIONAL's price movement is the most direct driver of investment returns. Noise in FIDELITY Mutual Fund price charts can make identifying meaningful trends difficult without dedicated analytical tools.

FIDELITY INTERNATIONAL Related Equities

The following equities are related to FIDELITY INTERNATIONAL within the Foreign Small/Mid Blend space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing FIDELITY INTERNATIONAL against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

FIDELITY INTERNATIONAL Market Strength Events

Market strength indicators for FIDELITY INTERNATIONAL provide investors with a view of how the mutual fund performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Fidelity International Small.

FIDELITY INTERNATIONAL Risk Indicators

A structured analysis of FIDELITY INTERNATIONAL's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in FIDELITY INTERNATIONAL's allows investors to decide whether to accept, reduce, or hedge their 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 INTERNATIONAL

A coverage review of Fidelity International Small helps investors see 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 publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.