Sui Crypto Coin Forward View - Triple Exponential Smoothing

SUI Crypto  USD 0.97  0.01  1.04%   
The Triple Exponential Smoothing forecast shown here for Sui is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Triple Exponential Smoothing forecasted value of Sui on the next trading day is expected to be 0.97 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.21.As with simple exponential smoothing, in triple exponential smoothing models past Sui 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 Sui observations. This Triple Exponential Smoothing reference page for Sui presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for Sui - 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 Sui 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 Sui price movement. However, neither of these exponential smoothing models address any seasonality of Sui.

Triple Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sui on the next trading day is expected to be 0.97 with a mean absolute deviation of 0.05 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.21 .
Please note that although there have been many attempts to predict Sui Crypto Coin 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 Sui's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Crypto Coin Forecast Pattern

Forecasted Value

For the next trading day, Macroaxis evaluates Sui's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 0.01 and upside around 6.90 for the forecasting period.
Market Value
0.97
0.97
Expected Value
6.90
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 Sui crypto coin data series using in forecasting. Note that when a statistical model is used to represent Sui crypto coin, 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 0.0068
MADMean absolute deviation0.0536
MAPEMean absolute percentage error0.0439
SAESum of the absolute errors3.2141
As with simple exponential smoothing, in triple exponential smoothing models past Sui 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 Sui observations.

Other Forecasting Options for Sui

Regardless of investment experience, understanding Sui's price movement is essential for anyone considering a position in Sui. Price charts for Sui Crypto Coin are often filled with noise that can lead to poor investment choices if not properly filtered.

Sui Related Equities

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

Sui Market Strength Events

Market strength indicators for Sui give investors insight into the crypto coin's responsiveness to broader market forces. Tracking these indicators provides context to make informed timing decisions and identify periods where trading Sui is likely to be most rewarding.

Sui Risk Indicators

A thorough review of Sui's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis provides context for determining the appropriate level of risk to accept when holding Sui's.
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 Sui

Story coverage around Sui 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.

More Resources for Sui Crypto Coin Analysis

Initial analysis of Sui centers on its financial statements and observed trends. Ratio analysis outlines performance across profit, efficiency, and growth. These values are derived from Sui's published financial data.
For Sui, Historical Fundamental Analysis of Sui serves as a reference point for projection validation. The historical context helps assess whether current projections align with past patterns.
Sui currently shows market cap of 10.94 Million. Investors get more value from Sui analysis when it is combined with the construction and diversification tools listed below. For Sui, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Sui's value assessment involves factors that may not be immediately reflected in the quoted price. Value context can include adoption, utility, network security, and ecosystem activity. The quoted Sui price is the exchange level where supply meets demand. The data shown is informational and should not be interpreted as guidance.