AES (Germany) Price Prediction
AES Stock | 12.35 0.14 1.15% |
Oversold Vs Overbought
36
Oversold | Overbought |
Using AES hype-based prediction, you can estimate the value of The AES from the perspective of AES 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 AES to buy its stock at a price that has no basis in reality. In that case, they are not buying AES 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.
AES after-hype prediction price | EUR 12.35 |
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.
AES |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AES'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.
AES After-Hype Price Prediction Density Analysis
As far as predicting the price of AES 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 AES 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 AES, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
AES Estimiated After-Hype Price Volatility
In the context of predicting AES's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AES's historical news coverage. AES's after-hype downside and upside margins for the prediction period are 9.68 and 15.02, respectively. We have considered AES'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
AES is not too volatile at this time. Analysis and calculation of next after-hype price of AES is based on 3 months time horizon.
AES Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as AES is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AES 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 AES, 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 |
0.28 | 2.67 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
12.35 | 12.35 | 0.00 |
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AES Hype Timeline
AES is presently traded for 12.35on Stuttgart Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. AES 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 presently at -0.28%. %. The volatility of related hype on AES is about 0.0%, with the expected price after the next announcement by competition of 12.35. The company has Price/Earnings To Growth (PEG) ratio of 2.01. AES had not issued any dividends in recent years. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out AES Basic Forecasting Models to cross-verify your projections.AES Related Hype Analysis
Having access to credible news sources related to AES's direct competition is more important than ever and may enhance your ability to predict AES's future price movements. Getting to know how AES'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 AES may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
2DG | SIVERS SEMICONDUCTORS AB | 0.00 | 0 per month | 0.00 | (0.18) | 7.14 | (8.57) | 52.42 | |
DDN | Darden Restaurants | 0.00 | 0 per month | 0.84 | 0.09 | 2.84 | (1.73) | 10.23 | |
RS6 | Reliance Steel Aluminum | 0.00 | 0 per month | 1.36 | 0.09 | 2.94 | (2.17) | 13.51 | |
QBI | Q2M Managementberatung AG | 0.00 | 0 per month | 0.00 | (0.89) | 0.00 | 0.00 | 1.01 | |
HYEA | Hyster Yale Materials Handling | 0.00 | 0 per month | 3.08 | (0.02) | 5.08 | (3.45) | 22.02 | |
5AM | Hastings Technology Metals | 0.00 | 0 per month | 5.98 | 0.04 | 13.33 | (12.50) | 33.04 | |
MEL | Meli Hotels International | 0.00 | 0 per month | 1.16 | (0.03) | 2.53 | (1.58) | 6.59 | |
N4Q1 | Hemisphere Energy Corp | 0.00 | 0 per month | 1.69 | (0) | 3.88 | (3.10) | 9.39 | |
P5IB | Parkson Retail Group | 0.00 | 0 per month | 11.93 | 0.07 | 20.00 | (16.67) | 129.48 |
AES Additional Predictive Modules
Most predictive techniques to examine AES price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AES using various technical indicators. When you analyze AES 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 AES Predictive Indicators
The successful prediction of AES 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 The AES, 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 AES based on analysis of AES hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to AES's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to AES's related companies.
Story Coverage note for AES
The number of cover stories for AES depends on current market conditions and AES's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AES 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 AES'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
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AES Short Properties
AES's future price predictability will typically decrease when AES's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of The AES often depends not only on the future outlook of the potential AES'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. AES's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 668.7 M | |
Dividends Paid | -422 M | |
Short Long Term Debt | 1.8 B |
Additional Tools for AES Stock Analysis
When running AES's price analysis, check to measure AES'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 AES is operating at the current time. Most of AES's value examination focuses on studying past and present price action to predict the probability of AES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AES's price. Additionally, you may evaluate how the addition of AES to your portfolios can decrease your overall portfolio volatility.