Schweiter Technologies Stock Forward View - 20 Period Moving Average
| SWTQ Stock | CHF 271.50 4.00 1.45% |
Schweiter Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Schweiter Technologies' share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.36) | EPS Estimate Current Year 11.8639 | EPS Estimate Next Year 20.5324 | Wall Street Target Price 382.6 | Quarterly Revenue Growth (0.07) |
Using Schweiter Technologies hype-based prediction, you can estimate the value of Schweiter Technologies AG from the perspective of Schweiter Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The 20 Period Moving Average forecasted value of Schweiter Technologies AG on the next trading day is expected to be 261.95 with a mean absolute deviation of 11.48 and the sum of the absolute errors of 482.13. Schweiter Technologies after-hype prediction price | CHF 268.78 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Schweiter |
Schweiter Technologies Additional Predictive Modules
Most predictive techniques to examine Schweiter price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Schweiter using various technical indicators. When you analyze Schweiter charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Schweiter Technologies 20 Period Moving Average Price Forecast For the 18th of February 2026
Given 90 days horizon, the 20 Period Moving Average forecasted value of Schweiter Technologies AG on the next trading day is expected to be 261.95 with a mean absolute deviation of 11.48, mean absolute percentage error of 169.02, and the sum of the absolute errors of 482.13.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).
Schweiter Technologies Stock Forecast Pattern
| Backtest Schweiter Technologies | Schweiter Technologies Price Prediction | Research Analysis |
Schweiter Technologies Forecasted Value
In the context of forecasting Schweiter Technologies' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Schweiter Technologies' downside and upside margins for the forecasting period are 259.01 and 264.89, respectively. We have considered Schweiter Technologies' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average 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 | 88.3208 |
| Bias | Arithmetic mean of the errors | -0.5137 |
| MAD | Mean absolute deviation | 11.4792 |
| MAPE | Mean absolute percentage error | 0.0445 |
| SAE | Sum of the absolute errors | 482.125 |
Predictive Modules for Schweiter Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Schweiter Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Schweiter Technologies After-Hype Price Density Analysis
As far as predicting the price of Schweiter Technologies at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Schweiter Technologies or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Schweiter Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Schweiter Technologies Estimiated After-Hype Price Volatility
In the context of predicting Schweiter Technologies' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Schweiter Technologies' historical news coverage. Schweiter Technologies' after-hype downside and upside margins for the prediction period are 265.84 and 271.72, respectively. We have considered Schweiter Technologies' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Schweiter Technologies is very steady at this time. Analysis and calculation of next after-hype price of Schweiter Technologies is based on 3 months time horizon.
Schweiter Technologies Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Schweiter Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Schweiter Technologies backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Schweiter Technologies, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.17 | 2.94 | 2.72 | 0.13 | 3 Events / Month | 2 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
271.50 | 268.78 | 1.00 |
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Schweiter Technologies Hype Timeline
Schweiter Technologies is at this time traded for 271.50on SIX Swiss Exchange of Switzerland. The entity has historical hype elasticity of -2.72, and average elasticity to hype of competition of -0.13. Schweiter is anticipated to decline in value after the next headline, with the price expected to drop to 268.78. The average volatility of media hype impact on the company price is about 18.38%. The price decline on the next news is expected to be -1.0%, whereas the daily expected return is at this time at 0.17%. The volatility of related hype on Schweiter Technologies is about 385.32%, with the expected price after the next announcement by competition of 271.37. About 35.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.59. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Schweiter Technologies last dividend was issued on the 11th of April 2025. The entity had 19:18 split on the 14th of May 2012. Assuming the 90 days trading horizon the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of Schweiter Technologies to cross-verify your projections.Schweiter Technologies Related Hype Analysis
Having access to credible news sources related to Schweiter Technologies' direct competition is more important than ever and may enhance your ability to predict Schweiter Technologies' future price movements. Getting to know how Schweiter Technologies' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Schweiter Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ARBN | Arbonia AG | (0.05) | 4 per month | 2.63 | 0.05 | 4.27 | (4.19) | 13.54 | |
| PMN | PHOENIX N AG | 17.00 | 4 per month | 1.72 | (0.02) | 2.62 | (3.89) | 7.50 | |
| MTG | Meier Tobler Group | (0.30) | 3 per month | 1.67 | 0.03 | 3.41 | (2.20) | 9.93 | |
| MIKN | Mikron Holding AG | 0.1 | 4 per month | 0.00 | (0.08) | 3.80 | (3.86) | 19.62 | |
| MEDX | medmix AG | 0.12 | 2 per month | 0.91 | 0.21 | 2.93 | (2.04) | 13.55 | |
| METN | Metall Zug AG | (32.00) | 2 per month | 1.02 | 0.06 | 2.87 | (1.95) | 9.34 | |
| KOMN | Komax Holding AG | 1.40 | 5 per month | 2.16 | 0.09 | 4.62 | (3.62) | 10.87 | |
| LEHN | Lem Holding SA | 6.00 | 7 per month | 0.00 | (0.12) | 2.39 | (4.70) | 17.21 | |
| OFN | Orell Fuessli Holding | 0.00 | 0 per month | 0.44 | 0.13 | 2.08 | (1.22) | 5.57 | |
| ZEHN | Zehnder | 0.1 | 7 per month | 2.08 | 0.17 | 2.57 | (2.16) | 12.83 |
Other Forecasting Options for Schweiter Technologies
For every potential investor in Schweiter, whether a beginner or expert, Schweiter Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Schweiter Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Schweiter. Basic forecasting techniques help filter out the noise by identifying Schweiter Technologies' price trends.Schweiter Technologies Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Schweiter Technologies stock to make a market-neutral strategy. Peer analysis of Schweiter Technologies could also be used in its relative valuation, which is a method of valuing Schweiter Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Schweiter Technologies Market Strength Events
Market strength indicators help investors to evaluate how Schweiter Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Schweiter Technologies shares will generate the highest return on investment. By undertsting and applying Schweiter Technologies stock market strength indicators, traders can identify Schweiter Technologies AG entry and exit signals to maximize returns.
| Accumulation Distribution | 41.33 | |||
| Daily Balance Of Power | (0.50) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 273.0 | |||
| Day Typical Price | 272.5 | |||
| Market Facilitation Index | 0.0056 | |||
| Price Action Indicator | (3.50) | |||
| Period Momentum Indicator | (4.00) |
Schweiter Technologies Risk Indicators
The analysis of Schweiter Technologies' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Schweiter Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting schweiter stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.83 | |||
| Semi Deviation | 2.95 | |||
| Standard Deviation | 2.78 | |||
| Variance | 7.76 | |||
| Downside Variance | 10.86 | |||
| Semi Variance | 8.71 | |||
| Expected Short fall | (1.94) |
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
The number of cover stories for Schweiter Technologies depends on current market conditions and Schweiter Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Schweiter Technologies is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Schweiter Technologies' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Schweiter Technologies Short Properties
Schweiter Technologies' future price predictability will typically decrease when Schweiter Technologies' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Schweiter Technologies AG often depends not only on the future outlook of the potential Schweiter Technologies' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Schweiter Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.4 M | |
| Cash And Short Term Investments | 106.8 M |
Additional Tools for Schweiter Stock Analysis
When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.