SGL Carbon Pink Sheet Forward View
| SGLFF Stock | USD 3.62 0.00 0.00% |
SGL Carbon's Naive Prediction 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 Naive Prediction forecasted value of SGL Carbon SE on the next trading day is expected to be 3.34 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.95.This model is not at all useful as a medium-long range forecasting tool of SGL Carbon SE. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict SGL Carbon. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. SGL Carbon's Naive Prediction reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Naive Prediction Price Forecast For the 25th of March
Given 90 days horizon, the Naive Prediction forecasted value of SGL Carbon SE on the next trading day is expected to be 3.34 with a mean absolute deviation of 0.20 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 11.95 .Please note that although there have been many attempts to predict SGL 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 SGL Carbon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
| Backtest SGL Carbon | SGL Carbon Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates SGL Carbon's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 0.04 and upside around 8.31 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of SGL Carbon pink sheet data series using in forecasting. Note that when a statistical model is used to represent SGL Carbon 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 | 115.3262 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1959 |
| MAPE | Mean absolute percentage error | 0.0427 |
| SAE | Sum of the absolute errors | 11.9473 |
Other Forecasting Options for SGL Carbon
Analyzing SGL Carbon'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 SGL Carbon's chart can signal overbought or oversold conditions.SGL Carbon Related Equities
These stocks within the Chemicals space are often compared to SGL Carbon by analysts and fund managers in the sector. Looking at SGL Carbon's pricing multiples next to these peers shows if the stock trades at a premium or discount.
| Risk & Return | Correlation |
SGL Carbon Market Strength Events
Market strength indicators for SGL Carbon pink sheet provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade SGL Carbon.
SGL Carbon Risk Indicators
Assessing SGL Carbon's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting SGL Carbon's future price accurately requires understanding and quantifying the risks present in the investment.
| Mean Deviation | 2.11 | |||
| Standard Deviation | 5.27 | |||
| Variance | 27.76 |
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 SGL Carbon
A coverage review of SGL Carbon SE shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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.
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Other Information on Investing in SGL Pink Sheet
Financial ratios reflect how major financial figures connect within SGL Carbon. They frame financial performance across earnings, cash flow, and valuation.