Fidelity Small Mutual Fund Forward View - Simple Exponential Smoothing
| FSCRX Fund | USD 22.67 -0.02 -0.09% |
Momentum
Sell Peaked
Oversold | Overbought |
The hype-based summary links Fidelity Small Cap attention patterns with price response and peers.
The Simple Exponential Smoothing forecasted value of Fidelity Small Cap on the next trading day is expected to be 22.68 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.44.Fidelity Small after-hype prediction price | $ 22.98 |
This sentiment summary adds context across forecasting, technical, analyst, and earnings perspectives for the fund.
Fidelity |
Fidelity Small Additional Predictive Modules
Most predictive techniques to examine Fidelity price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fidelity using various technical indicators. When you analyze Fidelity 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 Exponential Smoothing Price Forecast For the 17th of March 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Fidelity Small Cap on the next trading day is expected to be 22.68 with a mean absolute deviation of 0.21 , mean absolute percentage error of 0.07 , and the sum of the absolute errors of 12.44 .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 Small'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 Small | Fidelity Small Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Fidelity Small Cap uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Fidelity Small mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Small 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 | 113.6019 |
| Bias | Arithmetic mean of the errors | 0.0206 |
| MAD | Mean absolute deviation | 0.2073 |
| MAPE | Mean absolute percentage error | 0.0086 |
| SAE | Sum of the absolute errors | 12.4383 |
Experienced Fidelity Small's investors use mean reversion as a complement to momentum analysis: momentum identifies the trend; mean reversion identifies when that trend has extended beyond sustainable levels.
After-Hype Price Density Analysis
This probability distribution for Fidelity Small is built from Monte Carlo simulations that incorporate Fidelity Small's historical volatility, mean reversion tendencies, and jump risk. The resulting distribution captures a broader range of Fidelity Small outcomes than simple linear.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The boundaries derived from Fidelity Small's historical news analysis represent the range within which Fidelity Small's price has typically settled after comparable headline events. Fidelity Small's after-hype downside and upside margins for the prediction period are 21.86 and 24.10, respectively. Outcomes outside these boundaries are less common but not rare for Fidelity Small.
Current Value
Macroaxis estimates the after-hype price of Fidelity Small Cap across a 3 months horizon to evaluate where the instrument could settle once headline distortion subsides. The practical value is that it frames how far price could retrace or stabilize once the headline cycle loses intensity.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Fidelity Small is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fidelity Small 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 Fidelity Small, 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 |
0.06 | 1.12 | 0.31 | 0.36 | 3 Events | 0 Events | In 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.67 | 22.98 | 1.37 |
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Hype Timeline
Fidelity Small Cap is currently traded for 22.67. The fund has historical hype elasticity of 0.31, and average elasticity to hype of competition of 0.36. Fidelity is projected to increase in value after the next headline, with the price projected to jump to 22.98 or above. The average volatility of media hype impact on the fund the price is about 21.96%. The price jump on the next news is projected to be 1.37%, whereas the daily expected return is currently at -0.06%. The volatility of related hype on Fidelity Small is about 18.45%, with the expected price after the next announcement by competition of 23.03. Assuming a 90-day horizon the next projected press release will be in 3 days. Use Historical Fundamental Analysis of Fidelity Small to cross-verify projections for Fidelity Small. The historical series provides projection context.Related Hype Analysis
Understanding Fidelity Small's position within its competitive set helps investors assess whether news affecting a peer is a headwind or tailwind for Fidelity Small. This distinction requires knowledge of the competitive dynamics specific to Fidelity Small's industry.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FIDLX | Fidelity Advisor Large | 0.81 | 3 per month | 0.00 | 0.04 | 0.92 | -1.34 | 3.50 | |
| FSSMX | Fidelity Advisor Stock | 0.00 | 0 per month | 0.96 | 0.07 | 1.44 | -1.95 | 6.19 | |
| CSVIX | Calvert Small Cap | 12.05 | 5 per month | 0.75 | 0.1 | 1.93 | -1.78 | 17.21 | |
| FDEQX | Fidelity Disciplined Equity | 0.00 | 0 per month | 0.00 | -0.04 | 1.35 | -1.98 | 4.98 | |
| ABSZX | Ab Discovery Value | 23.56 | 5 per month | 0.82 | 0.12 | 2.14 | -1.80 | 8.67 | |
| CSVZX | Columbia Select Large Cap | 0.00 | 0 per month | 0.61 | 0.19 | 1.40 | -1.29 | 9.06 |
Other Forecasting Options for Fidelity Small
Understanding Fidelity Small's price movement is a prerequisite for any investor considering Fidelity as a position. Fidelity Mutual Fund price charts are frequently cluttered with noise that can interfere with accurate interpretation.Fidelity Small Related Equities
The following equities are related to Fidelity Small within the Small Blend space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Fidelity Small 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 Small Market Strength Events
For traders and investors in Fidelity Small Cap, market strength indicators offer a quantitative framework for evaluating the mutual fund's responsiveness to market conditions. These tools help identify when trading Fidelity Small shares is most likely to generate favorable returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 22.67 | |||
| Day Typical Price | 22.67 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.02 | |||
| Relative Strength Index | 39.04 |
Fidelity Small Risk Indicators
Analyzing Fidelity Small's risk indicators provides a critical input for price forecasting and investment risk management. By quantifying the risk in Fidelity Small's investment, investors can make more informed decisions about their exposure and hedging strategies.
| Mean Deviation | 0.8927 | |||
| Standard Deviation | 1.14 | |||
| Variance | 1.29 |
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 Small
A coverage review of Fidelity Small Cap helps investors see when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage helps investors separate durable relevance from temporary noise.
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.