Simt Tax Mutual Fund Forward View - Simple Exponential Smoothing
| STMSX Fund | USD 23.28 -0.42 -1.77% |
The Simple Exponential Smoothing forecast shown here for Simt Tax is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Simple Exponential Smoothing forecasted value of Simt Tax Managed Smallmid on the next trading day is expected to be 23.30 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.96.This simple exponential smoothing model begins by setting Simt Tax Managed Smallmid forecast for the second period equal to the observation of the first period. In other words, recent Simt Tax observations are given relatively more weight in forecasting than the older observations. This Simple Exponential Smoothing reference page for Simt Tax presents model-generated projections from historical price data for informational purposes. Simple Exponential Smoothing Price Forecast For the 24th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Simt Tax Managed Smallmid on the next trading day is expected to be 23.30 with a mean absolute deviation of 0.20 , mean absolute percentage error of 0.07 , and the sum of the absolute errors of 11.96 .Please note that although there have been many attempts to predict Simt 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 Simt Tax's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
The next-day forecast for Simt Tax Managed Smallmid focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 22.25 and upside near 24.34.
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 Simt Tax mutual fund data series using in forecasting. Note that when a statistical model is used to represent Simt Tax 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 | 113.5463 |
| Bias | Arithmetic mean of the errors | 0.0223 |
| MAD | Mean absolute deviation | 0.1993 |
| MAPE | Mean absolute percentage error | 0.0081 |
| SAE | Sum of the absolute errors | 11.9586 |
Other Forecasting Options for Simt Tax
The distribution of Simt Tax's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Simt Tax's chart that simple price charts miss.Simt Tax Related Equities
These related stocks within the Small Blend space give benchmarks for judging Simt Tax's results, margins, and growth trend. Profit comparisons show whether Simt Tax earns above or below average returns next to its peers.
| Risk & Return | Correlation |
Simt Tax Market Strength Events
Market strength indicators for Simt Tax give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Simt Tax Managed Smallmid.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 23.28 | |||
| Day Typical Price | 23.28 | |||
| Price Action Indicator | -0.21 | |||
| Period Momentum Indicator | -0.42 | |||
| Relative Strength Index | 38.03 |
Simt Tax Risk Indicators
A thorough review of Simt Tax's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Simt Tax's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 0.8424 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.21 |
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 Simt Tax
Coverage intensity for Simt Tax Managed Smallmid matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.