Sartorius Aktiengesellscha Pink Sheet Forward View - Simple Exponential Smoothing
| SARTF Stock | USD 226.33 0.00 0.00% |
The Simple Exponential Smoothing forecast reference data for Sartorius Aktiengesellschaft is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Simple Exponential Smoothing forecasted value of Sartorius Aktiengesellschaft on the next trading day is expected to be 226.33 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.33.This simple exponential smoothing model begins by setting Sartorius Aktiengesellschaft forecast for the second period equal to the observation of the first period. In other words, recent Sartorius Aktiengesellscha observations are given relatively more weight in forecasting than the older observations. The Simple Exponential Smoothing projections for Sartorius Aktiengesellschaft are reference data based on historical daily prices and are provided as informational context. Simple Exponential Smoothing Price Forecast For the 24th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Sartorius Aktiengesellschaft on the next trading day is expected to be 226.33 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.45 , and the sum of the absolute errors of 6.33 .Please note that although there have been many attempts to predict Sartorius 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 Sartorius Aktiengesellscha's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
| Backtest Sartorius Aktiengesellscha | Sartorius Aktiengesellscha Price Prediction | Research Analysis |
Forecasted Value
Forecasting Sartorius Aktiengesellschaft 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.
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 Sartorius Aktiengesellscha pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sartorius Aktiengesellscha 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 | 115.4655 |
| Bias | Arithmetic mean of the errors | -0.1055 |
| MAD | Mean absolute deviation | 0.1055 |
| MAPE | Mean absolute percentage error | 5.0E-4 |
| SAE | Sum of the absolute errors | 6.33 |
Other Forecasting Options for Sartorius Aktiengesellscha
Volatility clustering is a well-documented feature of Sartorius Pink Sheet price data where periods of large moves tend to follow other large moves. When Sartorius Aktiengesellscha's RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in Sartorius Aktiengesellscha's returns can persist when driven by structural factors like earnings calendars or index rebalancing.Sartorius Aktiengesellscha Related Equities
These stocks are related to Sartorius Aktiengesellscha within the Medical Instruments & Supplies space and can be used for peer review, pricing, or spreading risk. Growth rate gaps between Sartorius Aktiengesellscha and its peers often explain pricing differences in the market. Peer pricing works best when the firms compared share similar business models and end markets.
| Risk & Return | Correlation |
Sartorius Aktiengesellscha Market Strength Events
Analyzing market strength indicators for Sartorius Aktiengesellscha enables investors to understand relative pink sheet momentum. Investors use these tools to determine the best times to initiate or close positions in Sartorius Aktiengesellschaft. Market strength indicators support more precise timing of Sartorius Aktiengesellschaft positions across market cycles.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 226.33 | |||
| Day Typical Price | 226.33 | |||
| Relative Strength Index | 100.0 |
Sartorius Aktiengesellscha Risk Indicators
Identifying and analyzing Sartorius Aktiengesellscha's key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in Sartorius Aktiengesellscha's and determining how best to manage it. Studying Sartorius Aktiengesellscha's risk indicators helps investors understand the risk level of sartorius pink sheet.
| Mean Deviation | 0.088 | |||
| Standard Deviation | 0.2947 | |||
| Variance | 0.0868 |
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 Sartorius Aktiengesellscha
A coverage review of Sartorius Aktiengesellschaft shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Latest Perspective From Macroaxis
More Resources for Sartorius Pink Sheet Analysis
Other Information on Investing in Sartorius Pink Sheet
Financial ratios reflect how major financial figures connect within Sartorius Aktiengesellscha. This format maintains consistency across different reporting periods.