SMI 3Fourteen Etf Forward View - Double Exponential Smoothing
| FCTE Etf | 25.25 -0.35 -1.37% |
SMI 3Fourteen Full Cycle's Double Exponential Smoothing forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Double Exponential Smoothing forecasted value of SMI 3Fourteen Full Cycle on the next trading day is expected to be 25.24 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.47.When SMI 3Fourteen Full Cycle prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any SMI 3Fourteen Full Cycle trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent SMI 3Fourteen observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing projections for SMI 3Fourteen Full Cycle are reference data based on historical daily prices and are provided as informational context. Double Exponential Smoothing Price Forecast For the 19th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of SMI 3Fourteen Full Cycle on the next trading day is expected to be 25.24 with a mean absolute deviation of 0.23 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 13.47 .Please note that although there have been many attempts to predict SMI Etf 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 SMI 3Fourteen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
| Backtest SMI 3Fourteen | SMI 3Fourteen Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates SMI 3Fourteen's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 24.19 and upside near 26.28.
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 SMI 3Fourteen etf data series using in forecasting. Note that when a statistical model is used to represent SMI 3Fourteen etf, 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 | 0.062 |
| MAD | Mean absolute deviation | 0.2282 |
| MAPE | Mean absolute percentage error | 0.0087 |
| SAE | Sum of the absolute errors | 13.466 |
Other Forecasting Options for SMI 3Fourteen
The price trajectory of SMI is the primary concern for any investor assessing it as an opportunity. SMI Etf price charts are filled with noise that can easily mislead uninformed investment decisions.SMI 3Fourteen Related Equities
The following equities are related to SMI 3Fourteen within the Large Blend space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SMI 3Fourteen 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 |
SMI 3Fourteen Market Strength Events
Understanding the market strength of SMI 3Fourteen etf enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in SMI 3Fourteen Full Cycle with greater precision.
SMI 3Fourteen Risk Indicators
Reviewing SMI 3Fourteen's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding SMI 3Fourteen's and informs decisions about hedging and position.
| Mean Deviation | 0.8429 | |||
| Semi Deviation | 1.03 | |||
| Standard Deviation | 1.05 | |||
| Variance | 1.09 | |||
| Downside Variance | 1.14 | |||
| Semi Variance | 1.06 | |||
| Expected Short fall | -0.87 |
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 SMI 3Fourteen
Coverage intensity for SMI 3Fourteen Full Cycle matters because narrative visibility can influence sentiment, participation, and volatility around the name. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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More Resources for SMI Etf Analysis
A structured review of SMI 3Fourteen Full often starts with core financial statements and trend context. Financial ratios provide a structured lens for assessing SMI 3Fourteen's profitability and growth trends. Below are reports that help frame SMI 3Fourteen Full Cycle Etf in context:Historical Fundamental Analysis of SMI 3Fourteen can be used to cross-verify projections for SMI 3Fourteen. The view provides historical context for the projection set. SMI 3Fourteen analysis should be read alongside other portfolio and risk tools before reallocating capital. SMI 3Fourteen analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Understanding SMI 3Fourteen Full includes distinguishing between market value and book value, where book value reflects SMI's accounting equity. Value and price for SMI 3Fourteen are related but not identical, and they can diverge across cycles. Trading price represents the transaction level agreed by market participants.
Value and price for SMI 3Fourteen are related but not identical, and they can diverge across cycles. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. Where SMI 3Fourteen trades at any moment depends on the balance of buying and selling pressure.