Carillon Scout Mutual Fund Forward View - Double Exponential Smoothing
| CSSJX Fund | USD 19.51 -0.13 -0.66% |
Momentum
Sell Stretched
Oversold | Overbought |
This section provides headline-driven context for Carillon Scout Small alongside peer activity.
The Double Exponential Smoothing forecasted value of Carillon Scout Small on the next trading day is expected to be 19.33 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 38.37.Carillon Scout after-hype prediction price | $ 19.51 |
Hype signals are presented as complementary context to forecasting, technicals, analyst estimates, earnings, and momentum.
Carillon |
Carillon Scout Additional Predictive Modules
Most predictive techniques to examine Carillon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Carillon using various technical indicators. When you analyze Carillon 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 |
Double Exponential Smoothing Price Forecast For the 17th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Carillon Scout Small on the next trading day is expected to be 19.33 with a mean absolute deviation of 0.65 , mean absolute percentage error of 2.34 , and the sum of the absolute errors of 38.37 .Please note that although there have been many attempts to predict Carillon 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 Carillon Scout's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Carillon Scout | Carillon Scout Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Carillon Scout's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 14.44 and upside around 24.23 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Carillon Scout mutual fund data series using in forecasting. Note that when a statistical model is used to represent Carillon Scout 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 | -0.2116 |
| MAD | Mean absolute deviation | 0.6503 |
| MAPE | Mean absolute percentage error | 0.0311 |
| SAE | Sum of the absolute errors | 38.3694 |
Statistical evidence for mean reversion in Carillon Scout's can be observed through its tendency to revert following periods of extreme overvaluation or undervaluation relative to peers or its own historical range.
After-Hype Price Density Analysis
This chart illustrates the range of possible Carillon Scout price outcomes given current market conditions and historical patterns. The distribution of Carillon Scout's predicted prices is derived from Monte Carlo simulations calibrated to Carillon Scout's realized volatility.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The projected after-hype price range for Carillon Scout is derived entirely from Carillon Scout's historical news coverage and subsequent market behavior. Carillon Scout's after-hype downside and upside margins for the prediction period are 14.61 and 24.41, respectively. No fundamental valuation inputs are used in this model; it is a purely empirical, backward-looking approach for Carillon Scout.
Current Value
The next after-hype price estimate for Carillon Scout Small is modeled on a 3 months horizon and is intended to show how price could normalize after sentiment pressure fades. Used correctly, the estimate adds context around potential normalization rather than promising a specific realized outcome.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Carillon Scout is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Carillon Scout 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 Carillon Scout, 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 |
0.56 | 4.90 | 0.00 | 63.13 | 0 Events | 1 Events | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
19.51 | 19.51 | 0.00 |
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Hype Timeline
Carillon Scout Small is currently traded for 19.51. The fund stock is not elastic to its hype. The average elasticity to hype of competition is -63.13. Carillon is forecasted 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 forecasted to be very small, whereas the daily expected return is currently at -0.56%. %. The volatility of related hype on Carillon Scout is about 4.35%, with the expected price after the next announcement by competition of -43.62. The fund had its last dividend issued on the 19th of December 2019. Assuming a 90-day horizon the next forecasted press release will be in 5 to 10 days. Use Historical Fundamental Analysis of Carillon Scout to cross-verify projections for Carillon Scout. The view provides historical context for the projection set.Related Hype Analysis
Analyzing Carillon Scout's peer hype data reveals which competitors are most likely to influence Carillon Scout's short-term price. High hype elasticity between Carillon Scout and a peer indicates a strong market linkage.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LMUSX | Qs Large Cap | 17.31 | 3 per month | 0.78 | 0.06 | 1.06 | -1.25 | 4.94 | |
| FIJFX | Materials Portfolio Fidelity | 0.00 | 0 per month | 1.10 | 0.22 | 2.08 | -2.05 | 5.59 | |
| FADYX | Fadyx | 0.01 | 2 per month | 0.06 | 0.38 | 0.18 | -0.09 | 0.55 | |
| CPUCX | Aam Select Income | 0.00 | 0 per month | 0.00 | 0.11 | 0.22 | -0.43 | 1.08 | |
| FWYFAX | Fwyfax | 0.00 | 0 per month | 0.48 | 0.10 | 0.57 | -0.78 | 2.40 | |
| FKORQX | Fkorqx | -858.42 | 3 per month | 0.00 | -0.12 | 0.03 | -0.06 | 6.56 | |
| XMHFX | Western Asset Municipal | 51.96 | 5 per month | 0.00 | 0.19 | 0.14 | -0.43 | 0.72 |
Other Forecasting Options for Carillon Scout
The price behavior of Carillon is a primary concern for any investor, beginner or expert, evaluating it as an investment. Carillon Mutual Fund price charts can be cluttered with noise that obscures the underlying trend.Carillon Scout Related Equities
The following equities are related to Carillon Scout within the Small Growth space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Carillon Scout 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 |
Carillon Scout Market Strength Events
Evaluating the market strength of Carillon Scout mutual fund allows investors to gauge how the security tracks and reacts to shifts in market momentum. These indicators are particularly useful for traders seeking optimal timing for positions in Carillon Scout Small.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 19.51 | |||
| Day Typical Price | 19.51 | |||
| Price Action Indicator | -0.07 | |||
| Period Momentum Indicator | -0.13 | |||
| Relative Strength Index | 30.35 |
Carillon Scout Risk Indicators
Understanding Carillon Scout's risk indicators is essential for any investor seeking to forecast its future price with reasonable accuracy. Quantifying the risk involved in Carillon Scout's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 1.72 | |||
| Standard Deviation | 4.73 | |||
| Variance | 22.33 |
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 Carillon Scout
Coverage intensity for Carillon Scout Small matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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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.