Sea Stock Forward View - Triple Exponential Smoothing

SE Stock  USD 84.88  -1.32  -1.53%   
Sea's Triple Exponential Smoothing forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Triple Exponential Smoothing model projects Sea at 84.85 for the next trading day, below the most recent closing price. The Triple Exponential Smoothing output reflects statistical model results and is provided for reference purposes.
Triple exponential smoothing (Holt-Winters method) for Sea extends the double exponential model by adding a seasonality component. It simultaneously estimates the level, trend, and periodic pattern in Sea price series.

Triple Exponential Smoothing Price Forecast For the 3rd of May

Over a 90-day horizon, the Triple Exponential Smoothing model forecasts Sea at 84.85 for the next trading day, with a mean absolute deviation of 2.33 , mean absolute percentage error of 0.03 , and sum of absolute errors of 137.63 .
This represents a tight forecast with good short-term tracking of Sea's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest Sea  Sea Price Prediction  Research Analysis  

Forecasted Value

Sea's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The forecast band spans 81.34 to 88.36. The moderate spread reflects defined uncertainty around the forecast.
Market Value
84.88
84.85
Expected Value
88.36

Model Predictive Factors

The table below summarizes the Triple Exponential Smoothing model's error metrics for Sea stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.371
MADMean absolute deviation2.3327
MAPEMean absolute percentage error0.0252
SAESum of the absolute errors137.63
This model is designed for Sea price data that exhibits both a directional trend and recurring seasonal patterns. If the underlying series lacks seasonality, simpler models may produce tighter forecasts with fewer parameters. As with all exponential smoothing methods, recent observations carry the greatest weight in the forecast.

Other Forecasting Options for Sea

Analyzing Sea's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Sea's chart signal overbought or oversold conditions.

Sea Related Equities

These stocks within the Communication Services space are often compared to Sea by analysts and fund managers in the sector. Return on equity across these peers shows how well each firm turns capital into profit. Firms that trade at big discounts to peers on core metrics may be worth more research. The peer review below gives a clear framework for judging Sea's standing among rivals.
 Risk & Return  Correlation

Sea Market Strength Events

For investors tracking Sea, market strength indicators offer quantitative evaluation of stock behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in Sea.

Sea Risk Indicators

Analyzing Sea's basic risk indicators provides a structured view of the risk-return trade-off for sea stock. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for Sea.
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.

Sea Short Properties

Short-interest signals around Sea reveal whether skeptical positioning is starting to pressure price predictability and market tone. This is applicable when the question is whether bearish pressure is starting to shape the market's reaction function.
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