Space-Communication Pink Sheet Forward View - Simple Exponential Smoothing

SPMMF Stock  USD 0.89  0.00  0.00%   
This page provides Simple Exponential Smoothing reference data for Space Communication, calculated from historical daily prices. The model output shown here is derived from Space-Communication's historical price series and is provided for informational purposes.
The Simple Exponential Smoothing forecasted value of Space Communication on the next trading day is expected to be 0.89 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.69.This simple exponential smoothing model begins by setting Space Communication forecast for the second period equal to the observation of the first period. In other words, recent Space-Communication observations are given relatively more weight in forecasting than the older observations. The Simple Exponential Smoothing reference information for Space-Communication is based on available price data and is intended for informational purposes.
Space-Communication simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Space Communication are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Space Communication prices get older.

Simple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Space Communication on the next trading day is expected to be 0.89 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 0.69 .
Please note that although there have been many attempts to predict Space-Communication Pink Sheet 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 Space-Communication's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pink Sheet Forecast Pattern

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Forecasted Value

This next-day forecast for Space Communication uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 0.01 and upside around 44.70 for the forecasting period.
Market Value
0.89
0.89
Expected Value
44.70
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Space-Communication pink sheet data series using in forecasting. Note that when a statistical model is used to represent Space-Communication pink sheet, 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 Criteria111.4362
BiasArithmetic mean of the errors -0.0115
MADMean absolute deviation0.0115
MAPEMean absolute percentage error0.0129
SAESum of the absolute errors0.69
This simple exponential smoothing model begins by setting Space Communication forecast for the second period equal to the observation of the first period. In other words, recent Space-Communication observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Space-Communication

The autocorrelation structure of Space-Communication's daily returns reveals whether Space-Communication exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in Space-Communication Pink Sheet price data.

Space-Communication Related Equities

These stocks within the Telecom Services space are often compared to Space-Communication by analysts and fund managers in the sector. Revenue and margin checks across this group help investors set expectations for Space-Communication's results. How Space-Communication ranks within this group can shift over time as the competitive picture changes.
 Risk & Return  Correlation

Space-Communication Market Strength Events

Market strength indicators applied to Space-Communication pink sheet help assess momentum and resilience across environments. These indicators support informed market timing decisions when analyzing Space-Communication.

Space-Communication Risk Indicators

Risk indicator analysis for Space-Communication is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in Space-Communication's investment and either accepting 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 Space-Communication

Coverage intensity for Space Communication matters because narrative visibility can influence sentiment, participation, and volatility around the name. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

More Resources for Space-Communication Pink Sheet Analysis

Other Information on Investing in Space-Communication Pink Sheet

Space-Communication ratios capture relationships across its reported financial data. The figures shown are derived from the most recent reporting inputs available.