Evaluator Growth Mutual Fund Forward View - Triple Exponential Smoothing
| EVGLX Fund | USD 11.56 0.06 0.52% |
Momentum
Sell Peaked
Oversold | Overbought |
The summary pairs Evaluator Growth's headline activity with price response context.
The Triple Exponential Smoothing forecasted value of Evaluator Growth Rms on the next trading day is expected to be 11.62 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.65.Evaluator Growth after-hype prediction price | $ 11.48 |
This sentiment summary adds context across forecasting, technical, analyst, and earnings perspectives for the fund.
Evaluator |
Evaluator Growth Additional Predictive Modules
Predictive models for Evaluator Growth combine technical indicators with statistical methods to estimate probable price trajectories. Combining multiple forecasting approaches can reduce model-specific bias and improve reliability.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Triple Exponential Smoothing Price Forecast For the 18th of March 2026
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Evaluator Growth Rms on the next trading day is expected to be 11.62 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 6.65 .Please note that although there have been many attempts to predict Evaluator 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 Evaluator Growth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Evaluator Growth | Evaluator Growth Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Evaluator Growth Rms uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 8.63 and upside around 14.61 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Evaluator Growth mutual fund data series using in forecasting. Note that when a statistical model is used to represent Evaluator Growth 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0212 |
| MAD | Mean absolute deviation | 0.1127 |
| MAPE | Mean absolute percentage error | 0.0097 |
| SAE | Sum of the absolute errors | 6.65 |
The mean reversion effect in Evaluator Growth is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of Evaluator Growth's price dislocation is essential before acting.
After-Hype Price Density Analysis
The probability distribution for Evaluator Growth's predicted price encodes the full spectrum of outcomes, weighted by their estimated likelihood. Investors should compare this range against their personal risk tolerance before committing to Evaluator Growth positions.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The news prediction model for Evaluator Growth analyzes the correlation between Evaluator Growth's historical headline events and same-day or next-day price movements. Evaluator Growth's after-hype downside and upside margins for the prediction period are 8.49 and 14.47, respectively. Predictive accuracy varies significantly across different news categories and market regimes for Evaluator Growth.
Current Value
The after-hype framework applied to Evaluator Growth Rms assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. 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 Evaluator Growth is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Evaluator Growth 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 Evaluator Growth, 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 |
0.41 | 2.99 | 0.01 | 2.38 | 7 Events | 1 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11.56 | 11.48 | 0.17 |
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Hype Timeline
Evaluator Growth Rms is currently traded for 11.56. The fund has historical hype elasticity of 0.01, and average elasticity to hype of competition of -2.38. Evaluator is expected to decline in value after the next headline, with the price expected to drop to 11.48. The average volatility of media hype impact on the fund price is over 100%. The price reduction on the next news is expected to be -0.17%, whereas the daily expected return is currently at 0.41%. The volatility of related hype on Evaluator Growth is about 51.48%, with the expected price after the next announcement by competition of 9.18. The fund had its last dividend issued on the 26th of December 2019. Assuming a 90-day horizon the next expected press release will be in 7 days. Historical Fundamental Analysis of Evaluator Growth can be used to cross-verify projections for Evaluator Growth. The historical view provides additional context.Related Hype Analysis
Sector-wide news events often affect Evaluator Growth before the fundamental impact on Evaluator Growth's own business becomes clear. Peer hype analysis helps investors distinguish between sector-level sentiment shifts and Evaluator Growth-specific developments.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ICBAX | Icon Natural Resources | 0.03 | 13 per month | 1.00 | 0.17 | 2.58 | -1.98 | 5.72 | |
| BACCX | BlackRock All Cap Energy | -8.97 | 2 per month | 0.66 | 0.36 | 2.02 | -1.52 | 4.40 | |
| HNRGX | Hennessy Bp Energy | 0.00 | 0 per month | 0.69 | 0.27 | 2.19 | -1.65 | 4.55 | |
| ENPSX | Oil Gas Ultrasector | -20.66 | 6 per month | 1.38 | 0.28 | 3.93 | -2.80 | 7.98 | |
| IVEIX | Ivy Energy Fund | 0.56 | 1 per month | 0.56 | 0.30 | 1.63 | -1.25 | 4.44 |
Other Forecasting Options for Evaluator Growth
For both new and experienced investors in Evaluator, the ability to analyze Evaluator Growth's price movement is a fundamental investment skill. Price chart noise in Evaluator Mutual Fund can create false signals and mislead investment decisions.Evaluator Growth Related Equities
The following equities are related to Evaluator Growth within the Allocation--70% to 85% Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Evaluator Growth 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 |
Evaluator Growth Market Strength Events
Tracking market strength indicators for Evaluator Growth helps investors understand the momentum dynamics of the mutual fund in real time. These signals support informed decisions about when to enter or exit positions in Evaluator Growth Rms for maximum return potential.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 11.56 | |||
| Day Typical Price | 11.56 | |||
| Price Action Indicator | 0.03 | |||
| Period Momentum Indicator | 0.06 |
Evaluator Growth Risk Indicators
Properly assessing Evaluator Growth's risk indicators is a prerequisite for building reliable price forecasts. Identifying and quantifying the risks associated with Evaluator Growth's allows investors to make better-informed decisions about accepting or hedging their exposure.
| Mean Deviation | 0.9512 | |||
| Semi Deviation | 0.3794 | |||
| Standard Deviation | 2.86 | |||
| Variance | 8.18 | |||
| Downside Variance | 0.7925 | |||
| Semi Variance | 0.144 | |||
| Expected Short fall | -1.26 |
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 Evaluator Growth
Coverage intensity for Evaluator Growth Rms matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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