SHORT-INTERMEDIATE Mutual Fund Forward View - Simple Moving Average
| FOSPX Fund | USD 9.11 0.01 0.11% |
Momentum
Impartial
Oversold | Overbought |
Hype-based context for Short Intermediate Bond Fund connects recent headlines with price response and peer activity.
The Simple Moving Average forecasted value of Short Intermediate Bond Fund on the next trading day is expected to be 9.11 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.44.SHORT-INTERMEDIATE after-hype prediction price | $ 9.1 |
This analysis adds an attention layer to forecasting, technical studies, analyst estimates, and earnings views.
SHORT-INTERMEDIATE |
SHORT-INTERMEDIATE Additional Predictive Modules
Most predictive techniques to examine SHORT-INTERMEDIATE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SHORT-INTERMEDIATE using various technical indicators. When you analyze SHORT-INTERMEDIATE charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Simple Moving Average Price Forecast For the 17th of March 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Short Intermediate Bond Fund on the next trading day is expected to be 9.11 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0001 , and the sum of the absolute errors of 0.44 .Please note that although there have been many attempts to predict SHORT-INTERMEDIATE 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 SHORT-INTERMEDIATE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest SHORT-INTERMEDIATE | SHORT-INTERMEDIATE Price Prediction | Research Analysis |
Forecasted Value
Forecasting Short Intermediate Bond Fund for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 8.99 on the downside to about 9.22 on the 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 SHORT-INTERMEDIATE mutual fund data series using in forecasting. Note that when a statistical model is used to represent SHORT-INTERMEDIATE 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 | 105.4577 |
| Bias | Arithmetic mean of the errors | -0.0012 |
| MAD | Mean absolute deviation | 0.0075 |
| MAPE | Mean absolute percentage error | 8.0E-4 |
| SAE | Sum of the absolute errors | 0.44 |
The mean reversion framework for SHORT-INTERMEDIATE is built on the premise that markets are not perfectly efficient and that prices periodically overshoot their intrinsic value in both directions.
After-Hype Price Density Analysis
Visualizing the full distribution of potential SHORT-INTERMEDIATE outcomes discourages binary thinking about investments. Rather than asking whether SHORT-INTERMEDIATE's price will go up or down, the distribution approach asks: what is the range of outcomes and how probable is each?
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The news-based price prediction model for SHORT-INTERMEDIATE is transparent: it measures how SHORT-INTERMEDIATE's has historically reacted to news, not how it will theoretically behave. SHORT-INTERMEDIATE's after-hype downside and upside margins for the prediction period are 8.98 and 9.22, respectively. Investors should use this model as one input among many when evaluating SHORT-INTERMEDIATE ahead of anticipated news.
Current Value
The after-hype framework applied to Short Intermediate Bond Fund assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. SHORT-INTERMEDIATE is Very Low at this time.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as SHORT-INTERMEDIATE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SHORT-INTERMEDIATE backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with SHORT-INTERMEDIATE, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.01 | 0.12 | 0.00 | 0.00 | 0 Events | 1 Events | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
9.11 | 9.10 | 0.00 |
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Hype Timeline
Short Intermediate Bond is currently traded for 9.11. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SHORT-INTERMEDIATE is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.01%. %. The volatility of related hype on SHORT-INTERMEDIATE is about 25.77%, with the expected price after the next announcement by competition of 9.11. Assuming a 90-day horizon the next projected press release will be in a few days. Cross-verify projections for SHORT-INTERMEDIATE using Historical Fundamental Analysis of SHORT-INTERMEDIATE. The analysis adds historical context for the projection set.Related Hype Analysis
The peer hype analysis for SHORT-INTERMEDIATE identifies which competitors tend to lead the sector in their news reactions. These leading indicators provide early signals about the direction of SHORT-INTERMEDIATE's upcoming performance.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| JDJRX | Jhancock Diversified Macro | 0.00 | 0 per month | 0.36 | 0.27 | 0.94 | -0.71 | 2.24 | |
| TCGAX | Timothy Servative Growth | 0.04 | 1 per month | 0.42 | 0.14 | 0.54 | -0.80 | 2.10 | |
| JQLCX | Multimanager Lifestyle Servative | 1.60 | 4 per month | 0.24 | 0.15 | 0.41 | -0.40 | 1.21 | |
| TFCAX | Tax Free Conservative Income | 1.62 | 4 per month | 0.00 | 1.16 | 0.00 | 0.00 | 0.20 | |
| FZABX | Fidelity Advisor Diversified | 0.00 | 0 per month | 1.16 | 0.05 | 1.45 | -1.86 | 6.04 | |
| BICPX | BlackRock Conservative Prprdptfinstttnl | 0.00 | 0 per month | 0.28 | 0.15 | 0.43 | -0.59 | 1.45 | |
| EVFCX | Evaluator Conservative Rms | 0.00 | 0 per month | 0.38 | 0.1 | 0.48 | -0.67 | 2.02 |
Other Forecasting Options for SHORT-INTERMEDIATE
Price movement is the most fundamental factor that determines whether SHORT-INTERMEDIATE is a viable investment for any investor. SHORT-INTERMEDIATE Mutual Fund price charts are often noisy, making it difficult to identify meaningful patterns without analytical tools.SHORT-INTERMEDIATE Related Equities
The following equities are related to SHORT-INTERMEDIATE within the Short-Term Bond space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SHORT-INTERMEDIATE 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 |
SHORT-INTERMEDIATE Market Strength Events
Assessing the market strength of SHORT-INTERMEDIATE mutual fund provides investors with a clearer picture of how the security reacts to evolving market dynamics. These indicators can be used to identify periods when trading Short Intermediate Bond Fund is most likely to be profitable.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 9.11 | |||
| Day Typical Price | 9.11 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 49.94 |
SHORT-INTERMEDIATE Risk Indicators
The analysis of SHORT-INTERMEDIATE's basic risk metrics provides a foundation for forecasting its future price and managing investment risk. Identifying the magnitude of risk in SHORT-INTERMEDIATE's helps investors choose between accepting or hedging their exposure.
| Mean Deviation | 0.0762 | |||
| Standard Deviation | 0.1193 | |||
| Variance | 0.0142 | |||
| Downside Variance | 0.0173 | |||
| Semi Variance | -0.0031 | |||
| Expected Short fall | -0.18 |
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 SHORT-INTERMEDIATE
A coverage review of Short Intermediate Bond Fund helps investors see when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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