SFS Group Stock Forecast - Triple Exponential Smoothing
| SFSN Stock | CHF 111.60 1.80 1.64% |
The Triple Exponential Smoothing forecasted value of SFS Group AG on the next trading day is expected to be 111.73 with a mean absolute deviation of 1.09 and the sum of the absolute errors of 65.15. SFS Stock Forecast is based on your current time horizon.
At this time the value of rsi of SFS Group's 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 |
Using SFS Group hype-based prediction, you can estimate the value of SFS Group AG from the perspective of SFS Group response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of SFS Group AG on the next trading day is expected to be 111.73 with a mean absolute deviation of 1.09 and the sum of the absolute errors of 65.15. SFS Group after-hype prediction price | CHF 111.6 |
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.
SFS |
SFS Group Additional Predictive Modules
Most predictive techniques to examine SFS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SFS using various technical indicators. When you analyze SFS 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 | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volatility Indicators | ||
| Volume Indicators |
SFS Group Triple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SFS Group AG on the next trading day is expected to be 111.73 with a mean absolute deviation of 1.09, mean absolute percentage error of 2.15, and the sum of the absolute errors of 65.15.Please note that although there have been many attempts to predict SFS Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SFS Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SFS Group Stock Forecast Pattern
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SFS Group Forecasted Value
In the context of forecasting SFS Group's 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. SFS Group's downside and upside margins for the forecasting period are 110.42 and 113.04, respectively. We have considered SFS Group's 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SFS Group stock data series using in forecasting. Note that when a statistical model is used to represent SFS Group 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 | 0.1157 |
| MAD | Mean absolute deviation | 1.0858 |
| MAPE | Mean absolute percentage error | 0.0101 |
| SAE | Sum of the absolute errors | 65.1508 |
Predictive Modules for SFS Group
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SFS Group AG. 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.SFS Group After-Hype Price Prediction Density Analysis
As far as predicting the price of SFS Group 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 SFS Group 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 SFS Group, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SFS Group Estimiated After-Hype Price Volatility
In the context of predicting SFS Group's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SFS Group's historical news coverage. SFS Group's after-hype downside and upside margins for the prediction period are 110.29 and 112.91, respectively. We have considered SFS Group's 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
SFS Group is very steady at this time. Analysis and calculation of next after-hype price of SFS Group AG is based on 3 months time horizon.
SFS Group Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SFS Group is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SFS Group 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 SFS Group, 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 |
0.01 | 1.31 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
111.60 | 111.60 | 0.00 |
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SFS Group Hype Timeline
SFS Group AG is at this time traded for 111.60on SIX Swiss Exchange of Switzerland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SFS is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.01%. %. The volatility of related hype on SFS Group is about 0.0%, with the expected price after the next announcement by competition of 111.60. About 60.0% of the company outstanding shares are owned by corporate insiders. The book value of SFS Group was at this time reported as 30.92. The company recorded earning per share (EPS) of 6.4. SFS Group AG last dividend was issued on the 29th of April 2022. Assuming the 90 days trading horizon the next anticipated press release will be within a week. Check out Historical Fundamental Analysis of SFS Group to cross-verify your projections.SFS Group Related Hype Analysis
Having access to credible news sources related to SFS Group's direct competition is more important than ever and may enhance your ability to predict SFS Group's future price movements. Getting to know how SFS Group's 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 SFS Group may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SUN | Sulzer AG | 0.00 | 0 per month | 0.96 | 0.21 | 3.10 | (2.12) | 12.49 | |
| GF | Georg Fischer AG | 0.00 | 0 per month | 0.00 | (0.16) | 2.24 | (2.13) | 10.40 | |
| ADEN | Adecco Group AG | 0.00 | 0 per month | 0.00 | (0.06) | 2.98 | (3.00) | 17.75 | |
| DKSH | DKSH Holding AG | 0.00 | 0 per month | 1.05 | (0.03) | 2.09 | (1.85) | 5.13 | |
| BUCN | Bucher Industries AG | 0.00 | 0 per month | 0.00 | (0.15) | 1.48 | (2.26) | 7.42 | |
| DOKA | Dorma Kaba Holding | 0.00 | 0 per month | 0.00 | (0.17) | 2.36 | (2.30) | 7.15 | |
| BCHN | Burckhardt Compression | 0.00 | 0 per month | 0.00 | (0.12) | 2.44 | (2.00) | 6.35 | |
| BOSN | Bossard Holding AG | 0.00 | 0 per month | 0.00 | (0.16) | 2.05 | (2.83) | 8.85 | |
| ACLN | Accelleron Industries AG | 0.00 | 0 per month | 1.49 | 0.04 | 3.01 | (2.30) | 9.76 | |
| KARN | Kardex | 0.00 | 0 per month | 0.00 | (0.07) | 2.45 | (1.43) | 10.04 |
Other Forecasting Options for SFS Group
For every potential investor in SFS, whether a beginner or expert, SFS Group's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SFS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SFS. Basic forecasting techniques help filter out the noise by identifying SFS Group's price trends.SFS Group 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 SFS Group stock to make a market-neutral strategy. Peer analysis of SFS Group could also be used in its relative valuation, which is a method of valuing SFS Group by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SFS Group Market Strength Events
Market strength indicators help investors to evaluate how SFS Group stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SFS Group shares will generate the highest return on investment. By undertsting and applying SFS Group stock market strength indicators, traders can identify SFS Group AG entry and exit signals to maximize returns.
SFS Group Risk Indicators
The analysis of SFS Group's 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 SFS Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sfs 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 | 0.9044 | |||
| Semi Deviation | 1.33 | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.59 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 1.76 | |||
| Expected Short fall | (0.89) |
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 SFS Group
The number of cover stories for SFS Group depends on current market conditions and SFS Group's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SFS Group 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 SFS Group's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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SFS Group Short Properties
SFS Group's future price predictability will typically decrease when SFS Group's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SFS Group AG often depends not only on the future outlook of the potential SFS Group's 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. SFS Group's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 37.5 M | |
| Cash And Short Term Investments | 286 M |
Additional Tools for SFS Stock Analysis
When running SFS Group's price analysis, check to measure SFS Group's 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 SFS Group is operating at the current time. Most of SFS Group's value examination focuses on studying past and present price action to predict the probability of SFS Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SFS Group's price. Additionally, you may evaluate how the addition of SFS Group to your portfolios can decrease your overall portfolio volatility.