Stef SA (France) Price Prediction
| STF Stock | EUR 132.80 0.80 0.61% |
Oversold Vs Overbought
50
Oversold | Overbought |
Using Stef SA hype-based prediction, you can estimate the value of Stef SA from the perspective of Stef SA response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Stef SA to buy its stock at a price that has no basis in reality. In that case, they are not buying Stef because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Stef SA after-hype prediction price | EUR 132.0 |
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.
Stef |
Stef SA After-Hype Price Prediction Density Analysis
As far as predicting the price of Stef SA 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 Stef SA 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 Stef SA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Stef SA Estimiated After-Hype Price Volatility
In the context of predicting Stef SA's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Stef SA's historical news coverage. Stef SA's after-hype downside and upside margins for the prediction period are 130.51 and 133.49, respectively. We have considered Stef SA'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
Stef SA is very steady at this time. Analysis and calculation of next after-hype price of Stef SA is based on 3 months time horizon.
Stef SA Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Stef SA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Stef SA 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 Stef SA, 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 |
0.11 | 1.49 | 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 | ||
132.80 | 132.00 | 0.00 |
|
Stef SA Hype Timeline
Stef SA is at this time traded for 132.80on Euronext Paris of France. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Stef is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at -0.11%. %. The volatility of related hype on Stef SA is about 0.0%, with the expected price after the next announcement by competition of 132.80. About 73.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.1. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Stef SA recorded earning per share (EPS) of 10.39. The entity last dividend was issued on the 3rd of May 2022. The firm had 4:1 split on the 29th of December 2005. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Stef SA Basic Forecasting Models to cross-verify your projections.Stef SA Related Hype Analysis
Having access to credible news sources related to Stef SA's direct competition is more important than ever and may enhance your ability to predict Stef SA's future price movements. Getting to know how Stef SA'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 Stef SA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| THEP | Thermador Groupe SA | 0.00 | 0 per month | 0.00 | (0.21) | 1.92 | (1.91) | 8.93 | |
| SAMS | Samse SA | 0.00 | 0 per month | 0.00 | (0.17) | 2.01 | (2.67) | 11.63 | |
| RUI | Rubis SCA | 0.00 | 0 per month | 0.00 | (0.15) | 3.02 | (3.07) | 13.87 | |
| VCT | Vicat SA | 0.00 | 0 per month | 1.53 | 0.07 | 3.67 | (2.44) | 10.79 | |
| TRI | Trigano SA | 0.00 | 0 per month | 1.71 | 0.02 | 3.93 | (3.34) | 15.14 |
Stef SA Additional Predictive Modules
Most predictive techniques to examine Stef price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stef using various technical indicators. When you analyze Stef 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 |
About Stef SA Predictive Indicators
The successful prediction of Stef SA stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Stef SA, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Stef SA based on analysis of Stef SA hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Stef SA's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Stef SA's related companies.
Story Coverage note for Stef SA
The number of cover stories for Stef SA depends on current market conditions and Stef SA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Stef SA 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 Stef SA's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Stef SA Short Properties
Stef SA's future price predictability will typically decrease when Stef SA's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Stef SA often depends not only on the future outlook of the potential Stef SA'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. Stef SA's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 31.4 M | |
| Cash And Short Term Investments | 92.2 M |
Complementary Tools for Stef Stock analysis
When running Stef SA's price analysis, check to measure Stef SA'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 Stef SA is operating at the current time. Most of Stef SA's value examination focuses on studying past and present price action to predict the probability of Stef SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stef SA's price. Additionally, you may evaluate how the addition of Stef SA to your portfolios can decrease your overall portfolio volatility.
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |