Solidion Technology Stock Forward View - Triple Exponential Smoothing

STI Stock  USD 5.31  -0.01  -0.19%   
The Triple Exponential Smoothing forecast reference data for Solidion Technology is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Triple Exponential Smoothing forecasted value of Solidion Technology on the next trading day is projected to be 5.38 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 23.81.As with simple exponential smoothing, in triple exponential smoothing models past Solidion Technology 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 Solidion Technology observations. The Triple Exponential Smoothing projections for Solidion Technology are reference data based on historical daily prices and are provided as informational context.
Triple exponential smoothing for Solidion Technology - 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 Solidion Technology 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 Solidion Technology price movement. However, neither of these exponential smoothing models address any seasonality of Solidion Technology.

Triple Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Solidion Technology on the next trading day is expected to be 5.38 with a mean absolute deviation of 0.40 , mean absolute percentage error of 0.31 , and the sum of the absolute errors of 23.81 .
Please note that although there have been many attempts to predict Solidion Stock 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 Solidion Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates Solidion Technology's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
5.31
5.38
Expected Value
13.64
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 Solidion Technology stock data series using in forecasting. Note that when a statistical model is used to represent Solidion Technology stock, 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 -0.0773
MADMean absolute deviation0.4036
MAPEMean absolute percentage error0.0634
SAESum of the absolute errors23.8117
As with simple exponential smoothing, in triple exponential smoothing models past Solidion Technology 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 Solidion Technology observations.

Other Forecasting Options for Solidion Technology

Volatility clustering is a well-documented feature of Solidion Stock price data where periods of large moves tend to follow other large moves. When Solidion Technology's RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in Solidion Technology's returns can persist when driven by structural factors like earnings calendars or index rebalancing.

Solidion Technology Related Equities

These firms work in a similar space as Solidion Technology within the Industrials space and serve as useful points for comparison. Profit comparisons show whether Solidion Technology earns above or below average returns next to its peers. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
 Risk & Return  Correlation

Solidion Technology Market Strength Events

Analyzing market strength indicators for Solidion Technology enables investors to understand relative stock momentum. Investors use these tools to determine the best times to initiate or close positions in Solidion Technology. Market strength indicators support more precise timing of Solidion Technology positions across market cycles.

Solidion Technology Risk Indicators

Identifying and analyzing Solidion Technology's key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in Solidion Technology's and determining how best to manage it. Studying Solidion Technology's risk indicators helps investors understand the risk level of solidion stock.
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 Solidion Technology

A coverage review of Solidion Technology shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Solidion Technology Short Properties

Short sentiment tied to Solidion Technology matters because heavier bearish pressure can change how quickly future price expectations become unstable. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares OutstandingM
Cash And Short Term Investments3.4 M

More Resources for Solidion Stock Analysis

A baseline understanding of Solidion Technology is formed through its financial statements and trends. These metrics are based on Solidion Technology's reported financial results.