1StdibsCom Stock Forward View - Triple Exponential Smoothing

DIBS Stock  USD 5.39  0.01  0.19%   
1StdibsCom's Triple Exponential Smoothing reference data reflects the model's output when applied to available daily price observations. This page summarizes the model output and key accuracy metrics for reference. The projected value and error metrics are calculated from available daily price observations.
The Triple Exponential Smoothing forecasted value of 1StdibsCom on the next trading day is expected to be 5.36 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.46.As with simple exponential smoothing, in triple exponential smoothing models past 1StdibsCom 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 1StdibsCom observations. The Triple Exponential Smoothing reference values for 1StdibsCom are derived from publicly available price data and should be used for informational purposes only.
Triple exponential smoothing for 1StdibsCom - 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 1StdibsCom 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 1StdibsCom price movement. However, neither of these exponential smoothing models address any seasonality of 1StdibsCom.

Triple Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of 1StdibsCom on the next trading day is expected to be 5.36 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 6.46 .
Please note that although there have been many attempts to predict 1StdibsCom 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 1StdibsCom'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

Forecasting 1StdibsCom for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
5.39
5.36
Expected Value
8.48
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 1StdibsCom stock data series using in forecasting. Note that when a statistical model is used to represent 1StdibsCom 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 -0.0253
MADMean absolute deviation0.1095
MAPEMean absolute percentage error0.02
SAESum of the absolute errors6.4629
As with simple exponential smoothing, in triple exponential smoothing models past 1StdibsCom 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 1StdibsCom observations.

Other Forecasting Options for 1StdibsCom

Relative Strength Index values for 1StdibsCom measure the speed and magnitude of recent price changes. Recognizing these clusters in 1StdibsCom's returns helps calibrate position size and stop-loss levels. Candlestick pattern analysis of 1StdibsCom Stock daily data can reveal short-term reversal or continuation signals.

1StdibsCom Related Equities

Investors studying 1StdibsCom often look at related stocks within the Consumer Discretionary space to gauge pricing and results. Looking at 1StdibsCom's pricing multiples next to these peers shows if the stock trades at a premium or discount.
 Risk & Return  Correlation

1StdibsCom Market Strength Events

Market strength indicators provide a structured view of how 1StdibsCom stock is positioned relative to trends. These indicators are valuable tools for identifying when to enter or exit positions in 1StdibsCom. Investors tracking 1StdibsCom can use these signals to validate or adjust their position timing.

1StdibsCom Risk Indicators

The analysis of 1StdibsCom's risk metrics is one of the most important steps in projecting its future price. This process quantifies the risk associated with 1StdibsCom's and helps determine how to manage it. A structured analysis of 1StdibsCom's risk indicators is one of the most reliable ways to improve forecast accuracy.
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 1StdibsCom

The amount of media and story coverage tied to 1StdibsCom can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

1StdibsCom Short Properties

Short-interest signals around 1StdibsCom can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding36.1 M
Cash And Short Term Investments95 M

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