Seb Sa Stock Price Prediction
SEBYF Stock | USD 95.16 0.00 0.00% |
Oversold Vs Overbought
18
Oversold | Overbought |
Using SEB SA hype-based prediction, you can estimate the value of SEB SA from the perspective of SEB 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 SEB SA to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying SEB 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
SEB SA after-hype prediction price | USD 95.16 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SEB |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SEB SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SEB SA After-Hype Price Prediction Density Analysis
As far as predicting the price of SEB 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 SEB 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 Pink Sheet prices, such as prices of SEB SA, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
SEB SA Estimiated After-Hype Price Volatility
In the context of predicting SEB SA's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SEB SA's historical news coverage. SEB SA's after-hype downside and upside margins for the prediction period are 93.09 and 97.23, respectively. We have considered SEB 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
SEB SA is very steady at this time. Analysis and calculation of next after-hype price of SEB SA is based on 3 months time horizon.
SEB SA Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SEB SA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SEB 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 Pink Sheet 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 SEB 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 |
0.10 | 2.07 | 0.00 | 0.01 | 0 Events / Month | 5 Events / Month | Within a week |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
95.16 | 95.16 | 0.00 |
|
SEB SA Hype Timeline
SEB SA is at this time traded for 95.16. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. SEB 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 -0.1%. %. The volatility of related hype on SEB SA is about 1449.0%, with the expected price after the next announcement by competition of 95.15. About 48.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.07. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. SEB SA recorded earning per share (EPS) of 7.38. The entity last dividend was issued on the 31st of May 2022. The firm had 11:10 split on the 1st of March 2021. Assuming the 90 days horizon the next anticipated press release will be within a week. Check out SEB SA Basic Forecasting Models to cross-verify your projections.SEB SA Related Hype Analysis
Having access to credible news sources related to SEB SA's direct competition is more important than ever and may enhance your ability to predict SEB SA's future price movements. Getting to know how SEB 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 SEB SA may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
VGAS | Verde Clean Fuels | 0.09 | 2 per month | 2.82 | 0.05 | 7.07 | (4.57) | 25.46 | |
EDTK | Skillful Craftsman Education | (0.02) | 3 per month | 0.00 | (0.08) | 7.22 | (5.45) | 13.80 | |
NXST | Nexstar Broadcasting Group | (0.61) | 6 per month | 2.37 | (0.04) | 2.86 | (2.57) | 17.92 | |
MESA | Mesa Air Group | 0.02 | 8 per month | 0.00 | (0.06) | 6.19 | (6.38) | 28.65 | |
APOG | Apogee Enterprises | (0.20) | 10 per month | 1.57 | 0.09 | 3.41 | (2.93) | 28.75 | |
UAL | United Airlines Holdings | (0.38) | 7 per month | 0.12 | 0.44 | 6.47 | (1.63) | 16.43 | |
BEDU | Bright Scholar Education | 0.10 | 4 per month | 0.00 | (0.09) | 5.38 | (5.85) | 13.53 |
SEB SA Additional Predictive Modules
Most predictive techniques to examine SEB price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SEB using various technical indicators. When you analyze SEB 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 SEB SA Predictive Indicators
The successful prediction of SEB 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 SEB 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 SEB SA based on analysis of SEB SA hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SEB SA's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SEB SA's related companies.
Story Coverage note for SEB SA
The number of cover stories for SEB SA depends on current market conditions and SEB 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 SEB 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 SEB SA's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
SEB SA Short Properties
SEB SA's future price predictability will typically decrease when SEB SA's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SEB SA often depends not only on the future outlook of the potential SEB 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. SEB SA's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 55.1 M |
Complementary Tools for SEB Pink Sheet analysis
When running SEB SA's price analysis, check to measure SEB 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 SEB SA is operating at the current time. Most of SEB SA's value examination focuses on studying past and present price action to predict the probability of SEB 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 SEB SA's price. Additionally, you may evaluate how the addition of SEB SA to your portfolios can decrease your overall portfolio volatility.
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |