IPS STRATEGIC Mutual Fund Forward View - Triple Exponential Smoothing

IPSAX Fund  USD 9.41  -0.02  -0.21%   
This reference page presents Triple Exponential Smoothing forecast data for Ips Strategic Capital. The model output shown here is derived from IPS STRATEGIC's historical price series and is provided for informational purposes.
The Triple Exponential Smoothing forecasted value of Ips Strategic Capital on the next trading day is expected to be 9.39 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.41.As with simple exponential smoothing, in triple exponential smoothing models past IPS STRATEGIC 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 Ips Strategic Capital observations. This Triple Exponential Smoothing forecast data for Ips Strategic Capital is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for IPS STRATEGIC - 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 IPS STRATEGIC 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 IPS STRATEGIC price movement. However, neither of these exponential smoothing models address any seasonality of Ips Strategic Capital.

Triple Exponential Smoothing Price Forecast For the 19th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Ips Strategic Capital on the next trading day is expected to be 9.39 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.41 .
Please note that although there have been many attempts to predict IPS 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 IPS STRATEGIC'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

For the next trading day, Macroaxis evaluates IPS STRATEGIC's predictive range by looking for statistically meaningful downside and upside boundaries. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
9.41
9.39
Expected Value
10.21
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 IPS STRATEGIC mutual fund data series using in forecasting. Note that when a statistical model is used to represent IPS STRATEGIC 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 0.0139
MADMean absolute deviation0.0569
MAPEMean absolute percentage error0.0057
SAESum of the absolute errors3.4128
As with simple exponential smoothing, in triple exponential smoothing models past IPS STRATEGIC 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 Ips Strategic Capital observations.

Other Forecasting Options for IPS STRATEGIC

For every potential investor in IPS, whether a beginner or expert, IPS STRATEGIC's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

IPS STRATEGIC Related Equities

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

IPS STRATEGIC Market Strength Events

Market strength indicators help investors to evaluate how IPS STRATEGIC mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading IPS STRATEGIC shares will generate the highest return on.

IPS STRATEGIC Risk Indicators

The analysis of IPS STRATEGIC's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in IPS STRATEGIC's investment and either accepting that risk or mitigating it.
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 IPS STRATEGIC

Story coverage around Ips Strategic Capital often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.