FINANCIAL SERVICES Mutual Fund Forward View - Simple Moving Average
| FIDSX Fund | USD 14.72 0.04 0.27% |
The Simple Moving Average forecast shown here for FINANCIAL SERVICES is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Simple Moving Average forecasted value of Financial Services Portfolio on the next trading day is expected to be 14.72 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.75.The simple moving average model is conceptually a linear regression of the current value of Financial Services Portfolio price series against current and previous (unobserved) value of FINANCIAL SERVICES. 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 FINANCIAL SERVICES presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 27th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Financial Services Portfolio on the next trading day is expected to be 14.72 with a mean absolute deviation of 0.16 , mean absolute percentage error of 0.04 , and the sum of the absolute errors of 9.75 .Please note that although there have been many attempts to predict FINANCIAL 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 FINANCIAL SERVICES's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest FINANCIAL SERVICES | FINANCIAL SERVICES Price Prediction | Research Analysis |
Forecasted Value
Forecasting Financial Services Portfolio 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of FINANCIAL SERVICES mutual fund data series using in forecasting. Note that when a statistical model is used to represent FINANCIAL SERVICES 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 | 113.0902 |
| Bias | Arithmetic mean of the errors | 0.0378 |
| MAD | Mean absolute deviation | 0.1624 |
| MAPE | Mean absolute percentage error | 0.0104 |
| SAE | Sum of the absolute errors | 9.745 |
Other Forecasting Options for FINANCIAL SERVICES
The distribution of FINANCIAL SERVICES's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in FINANCIAL SERVICES's chart that simple price charts miss.FINANCIAL SERVICES Related Equities
Checking FINANCIAL SERVICES against related firms within the Financial space helps investors see where the stock stands among peers. Peer review on balance sheet metrics shows how FINANCIAL SERVICES's capital structure stacks up against similar firms. Peer pricing works best when the firms compared share similar business models and end markets. This type of review is most useful when done often to track how positions shift over time.
| Risk & Return | Correlation |
FINANCIAL SERVICES Market Strength Events
Market strength indicators for FINANCIAL SERVICES give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Financial Services Portfolio.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 14.72 | |||
| Day Typical Price | 14.72 | |||
| Price Action Indicator | 0.02 | |||
| Period Momentum Indicator | 0.04 | |||
| Relative Strength Index | 31.47 |
FINANCIAL SERVICES Risk Indicators
A thorough review of FINANCIAL SERVICES's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in FINANCIAL SERVICES's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 0.8992 | |||
| Standard Deviation | 1.15 | |||
| Variance | 1.31 |
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 FINANCIAL SERVICES
A coverage review of Financial Services Portfolio 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.