Watches Of Pink Sheet Forward View - Double Exponential Smoothing
| WOSGF Stock | USD 6.18 0.05 0.82% |
Watches Of's Double Exponential Smoothing reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Double Exponential Smoothing forecasted value of Watches of Switzerland on the next trading day is expected to be 6.18 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.30.When Watches of Switzerland 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 Watches of Switzerland trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Watches Of observations are given relatively more weight in forecasting than the older observations. Watches Of's Double Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Double Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Watches of Switzerland on the next trading day is expected to be 6.18 with a mean absolute deviation of 0.12 , mean absolute percentage error of 0.04 , and the sum of the absolute errors of 7.30 .Please note that although there have been many attempts to predict Watches 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 Watches Of's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
| Backtest Watches Of | Watches Of Price Prediction | Research Analysis |
Forecasted Value
Forecasting Watches of Switzerland for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 3.33 and upside around 9.03 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Watches Of pink sheet data series using in forecasting. Note that when a statistical model is used to represent Watches Of 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.0031 |
| MAD | Mean absolute deviation | 0.1237 |
| MAPE | Mean absolute percentage error | 0.0186 |
| SAE | Sum of the absolute errors | 7.3 |
Other Forecasting Options for Watches Of
Analyzing Watches Of'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 Watches Of's chart can signal overbought or oversold conditions.Watches Of Related Equities
Checking Watches Of against related firms within the Luxury Goods space helps investors see where the stock stands among peers. Revenue and margin checks across this group help investors set expectations for Watches Of's results. Persistent outperformance or underperformance by specific peers relative to Watches Of often signals structural advantages or weaknesses.
| Risk & Return | Correlation |
Watches Of Market Strength Events
Market strength indicators for Watches Of pink sheet provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Watches Of.
| Accumulation Distribution | 219.91 | |||
| Daily Balance Of Power | 0.3846 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 6.24 | |||
| Day Typical Price | 6.22 | |||
| Price Action Indicator | -0.04 | |||
| Period Momentum Indicator | 0.05 |
Watches Of Risk Indicators
Assessing Watches Of's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Watches Of's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 1.75 | |||
| Standard Deviation | 2.74 | |||
| Variance | 7.51 |
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 Watches Of
The amount of media and story coverage tied to Watches of Switzerland can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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Other Information on Investing in Watches Pink Sheet
Financial ratios for Watches Of organize key financial data into structured relationships. They provide context across profit, cash flow, and overall value.