Schweiter Technologies Stock Forward View - Triple Exponential Smoothing
| SWTQ Stock | CHF 261.50 -1.50 -0.57% |
Schweiter Technologies's Triple Exponential Smoothing reference data is presented on this page, derived from the application of the forecasting model to historical closing prices. Projected values and accuracy measures are included for reference.
The Triple Exponential Smoothing forecasted value of Schweiter Technologies AG on the next trading day is expected to be 260.53 with a mean absolute deviation of 5.42 and the sum of the absolute errors of 319.90.As with simple exponential smoothing, in triple exponential smoothing models past Schweiter Technologies 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 Schweiter Technologies AG observations. The Triple Exponential Smoothing reference information for Schweiter Technologies is based on available price data and is intended for informational purposes. Triple Exponential Smoothing Price Forecast For the 19th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Schweiter Technologies AG on the next trading day is expected to be 260.53 with a mean absolute deviation of 5.42 , mean absolute percentage error of 59.04 , and the sum of the absolute errors of 319.90 .Please note that although there have been many attempts to predict Schweiter 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 Schweiter Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Schweiter Technologies | Schweiter Technologies Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Schweiter Technologies AG uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 258.19 on the downside to about 262.87 on the 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 Schweiter Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Schweiter Technologies 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.9284 |
| MAD | Mean absolute deviation | 5.422 |
| MAPE | Mean absolute percentage error | 0.021 |
| SAE | Sum of the absolute errors | 319.8964 |
Other Forecasting Options for Schweiter Technologies
For any investor considering Schweiter, Schweiter Technologies' price movement is the central factor in determining investment viability. The noise present in Schweiter Stock price charts can distort investment decisions if not properly addressed.Schweiter Technologies Related Equities
The following equities are related to Schweiter Technologies within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Schweiter Technologies against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Schweiter Technologies Market Strength Events
Market strength indicators for Schweiter Technologies stock help investors evaluate the security's behavior relative to ongoing market conditions. These tools support better market timing and help identify entry and exit signals for Schweiter Technologies AG.
Schweiter Technologies Risk Indicators
The analysis of Schweiter Technologies' basic risk indicators is a key input for accurate price forecasting and sound investment decisions. Understanding the risk in Schweiter Technologies' investment allows investors to make informed choices about accepting or mitigating that exposure.
| Mean Deviation | 1.92 | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.91 |
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 Schweiter Technologies
Story coverage around Schweiter Technologies AG often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Schweiter Technologies Short Properties
A short-interest review of Schweiter Technologies AG helps investors understand whether skepticism in the market is becoming more influential. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 1.4 M | |
| Cash And Short Term Investments | 111.1 M |
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