Fidelity Small Mutual Fund Forecast - Simple Exponential Smoothing
| FCVIX Fund | USD 21.28 0.34 1.57% |
The Simple Exponential Smoothing forecasted value of Fidelity Small Cap on the next trading day is expected to be 21.28 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.48. Fidelity Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Fidelity Small's share price is below 20 . This usually indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Fidelity Small hype-based prediction, you can estimate the value of Fidelity Small Cap from the perspective of Fidelity Small response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Fidelity Small Cap on the next trading day is expected to be 21.28 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.48. Fidelity Small after-hype prediction price | USD 21.31 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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 |
Fidelity Small Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Fidelity Small Cap on the next trading day is expected to be 21.28 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.48.Please note that although there have been many attempts to predict Fidelity Mutual Fund prices using its time series forecasting, we generally do not recommend 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).
Fidelity Small Mutual Fund Forecast Pattern
| Backtest Fidelity Small | Fidelity Small Price Prediction | Buy or Sell Advice |
Fidelity Small Forecasted Value
In the context of forecasting Fidelity Small's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Fidelity Small's downside and upside margins for the forecasting period are 20.27 and 22.29, respectively. We have considered Fidelity Small's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 | 114.9085 |
| Bias | Arithmetic mean of the errors | -0.0334 |
| MAD | Mean absolute deviation | 0.1554 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 9.48 |
Predictive Modules for Fidelity Small
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fidelity Small Cap. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Fidelity Small After-Hype Price Prediction Density Analysis
As far as predicting the price of Fidelity Small at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Fidelity Small or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Fidelity Small, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Fidelity Small Estimiated After-Hype Price Volatility
In the context of predicting Fidelity Small's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fidelity Small's historical news coverage. Fidelity Small's after-hype downside and upside margins for the prediction period are 20.30 and 22.32, respectively. We have considered Fidelity Small's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Fidelity Small is very steady at this time. Analysis and calculation of next after-hype price of Fidelity Small Cap is based on 3 months time horizon.
Fidelity Small Mutual Fund Price Prediction 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 |
0.17 | 1.01 | 0.03 | 0.01 | 10 Events / Month | 5 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
21.28 | 21.31 | 0.14 |
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Fidelity Small Hype Timeline
Fidelity Small Cap is currently traded for 21.28. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of 0.01. Fidelity is forecasted to increase in value after the next headline, with the price projected to jump to 21.31 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 0.14%, whereas the daily expected return is currently at 0.17%. The volatility of related hype on Fidelity Small is about 1442.86%, with the expected price after the next announcement by competition of 21.29. Assuming the 90 days horizon the next forecasted press release will be in about 10 days. Check out Historical Fundamental Analysis of Fidelity Small to cross-verify your projections.Fidelity Small Related Hype Analysis
Having access to credible news sources related to Fidelity Small's direct competition is more important than ever and may enhance your ability to predict Fidelity Small's future price movements. Getting to know how Fidelity Small's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Fidelity Small may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FBCG | Fidelity Blue Chip | 0.16 | 4 per month | 1.30 | (0.03) | 1.72 | (2.26) | 5.41 | |
| FELG | Fidelity Covington Trust | 0.24 | 1 per month | 0.00 | (0.09) | 1.46 | (1.82) | 4.77 | |
| PVAL | Putnam Focused Large | 0.16 | 4 per month | 0.42 | 0.09 | 1.33 | (1.11) | 3.41 | |
| GSIE | Goldman Sachs ActiveBeta | 0.22 | 2 per month | 0.58 | 0.05 | 1.03 | (1.25) | 2.97 | |
| DIHP | Dimensional International High | 0.22 | 2 per month | 0.50 | 0.04 | 1.02 | (1.06) | 2.67 | |
| BKLC | BNY Mellon Large | 1.15 | 2 per month | 0.82 | (0.05) | 1.13 | (1.21) | 3.61 | |
| IVOO | Vanguard SP Mid Cap | (1.79) | 5 per month | 0.78 | 0.03 | 1.86 | (1.37) | 3.77 | |
| PAAA | PGIM ETF Trust | (0.04) | 17 per month | 0.00 | (0.72) | 0.08 | (0.02) | 0.84 | |
| JHMM | John Hancock Multifactor | 0.16 | 6 per month | 0.77 | 0.03 | 1.59 | (1.44) | 3.56 | |
| SCHK | Schwab 1000 ETF | 0.22 | 2 per month | 0.80 | (0.04) | 1.13 | (1.25) | 3.56 |
Other Forecasting Options for Fidelity Small
For every potential investor in Fidelity, whether a beginner or expert, Fidelity Small's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fidelity Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fidelity. Basic forecasting techniques help filter out the noise by identifying Fidelity Small's price trends.Fidelity Small Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Fidelity Small mutual fund to make a market-neutral strategy. Peer analysis of Fidelity Small could also be used in its relative valuation, which is a method of valuing Fidelity Small by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fidelity Small Market Strength Events
Market strength indicators help investors to evaluate how Fidelity Small mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fidelity Small shares will generate the highest return on investment. By undertsting and applying Fidelity Small mutual fund market strength indicators, traders can identify Fidelity Small Cap entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 21.28 | |||
| Day Typical Price | 21.28 | |||
| Price Action Indicator | (0.17) | |||
| Period Momentum Indicator | (0.34) |
Fidelity Small Risk Indicators
The analysis of Fidelity Small's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Fidelity Small's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fidelity mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.7506 | |||
| Semi Deviation | 0.6201 | |||
| Standard Deviation | 0.9808 | |||
| Variance | 0.962 | |||
| Downside Variance | 0.7613 | |||
| Semi Variance | 0.3845 | |||
| Expected Short fall | (0.89) |
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
The number of cover stories for Fidelity Small depends on current market conditions and Fidelity Small's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fidelity Small is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Fidelity Small's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Fidelity Mutual Fund
Fidelity Small financial ratios help investors to determine whether Fidelity Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity Small security.
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