Anchor Tactical Mutual Fund Forward View - Triple Exponential Smoothing

ATESX Fund  USD 15.13  0.00  0.00%   
This page provides reference data for Anchor Tactical using Triple Exponential Smoothing forecasting. The projected value and error metrics are calculated from available daily price observations.
The Triple Exponential Smoothing forecasted value of Anchor Tactical Equity on the next trading day is expected to be 15.13 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.59.As with simple exponential smoothing, in triple exponential smoothing models past Anchor Tactical observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Anchor Tactical Equity observations. This Triple Exponential Smoothing reference page for Anchor Tactical presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for Anchor Tactical - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Anchor Tactical 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 trend in Anchor Tactical price movement. However, neither of these exponential smoothing models address any seasonality of Anchor Tactical Equity.

Triple Exponential Smoothing Price Forecast For the 20th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Anchor Tactical Equity on the next trading day is expected to be 15.13 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.59 .
Please note that although there have been many attempts to predict Anchor 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 Anchor Tactical's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest Anchor Tactical  Anchor Tactical Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast for Anchor Tactical Equity focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
15.13
15.13
Expected Value
15.65
Upside

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 Anchor Tactical mutual fund data series using in forecasting. Note that when a statistical model is used to represent Anchor Tactical 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0128
MADMean absolute deviation0.0609
MAPEMean absolute percentage error0.004
SAESum of the absolute errors3.5904
As with simple exponential smoothing, in triple exponential smoothing models past Anchor Tactical observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Anchor Tactical Equity observations.

Other Forecasting Options for Anchor Tactical

For investors considering Anchor, Anchor Tactical's price movement is the most direct driver of investment returns. Noise in Anchor Mutual Fund price charts can make identifying meaningful trends difficult without dedicated analytical tools.

Anchor Tactical Related Equities

The following equities are related to Anchor Tactical within the Options Trading space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Anchor Tactical 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

Anchor Tactical Market Strength Events

Market strength indicators for Anchor Tactical provide investors with a view of how the mutual fund performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Anchor Tactical Equity.

Anchor Tactical Risk Indicators

A structured analysis of Anchor Tactical's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in Anchor Tactical's allows investors to decide whether to accept, reduce, or hedge their exposure.
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 Anchor Tactical

Coverage intensity for Anchor Tactical Equity matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage helps investors separate durable relevance from temporary noise.

Other Macroaxis Stories

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.