Deutsche Telekom (Germany) Price Prediction
| DTE Stock | 30.13 0.22 0.74% |
Oversold Vs Overbought
62
Oversold | Overbought |
Using Deutsche Telekom hype-based prediction, you can estimate the value of Deutsche Telekom AG from the perspective of Deutsche Telekom 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 Deutsche Telekom to buy its stock at a price that has no basis in reality. In that case, they are not buying Deutsche 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.
Deutsche Telekom after-hype prediction price | EUR 30.13 |
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.
Deutsche |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Telekom'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.
Deutsche Telekom After-Hype Price Prediction Density Analysis
As far as predicting the price of Deutsche Telekom 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 Deutsche Telekom 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 Deutsche Telekom, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Deutsche Telekom Estimiated After-Hype Price Volatility
In the context of predicting Deutsche Telekom's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deutsche Telekom's historical news coverage. Deutsche Telekom's after-hype downside and upside margins for the prediction period are 29.23 and 31.03, respectively. We have considered Deutsche Telekom'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
Deutsche Telekom is very steady at this time. Analysis and calculation of next after-hype price of Deutsche Telekom is based on 3 months time horizon.
Deutsche Telekom Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Deutsche Telekom is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deutsche Telekom 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 Deutsche Telekom, 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 |
0.24 | 0.90 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
30.13 | 30.13 | 0.00 |
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Deutsche Telekom Hype Timeline
Deutsche Telekom is currently traded for 30.13on XETRA Stock Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Deutsche 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 currently at 0.24%. %. The volatility of related hype on Deutsche Telekom is about 0.0%, with the expected price after the next announcement by competition of 30.13. About 18.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.87. Some equities with similar Price to Book (P/B) outperform the market in the long run. Deutsche Telekom has Price/Earnings To Growth (PEG) ratio of 0.97. The entity last dividend was issued on the 6th of April 2023. The firm had 1387:1376 split on the 10th of June 1999. Assuming the 90 days trading horizon the next forecasted press release will be in a few days. Check out Deutsche Telekom Basic Forecasting Models to cross-verify your projections.Deutsche Telekom Related Hype Analysis
Having access to credible news sources related to Deutsche Telekom's direct competition is more important than ever and may enhance your ability to predict Deutsche Telekom's future price movements. Getting to know how Deutsche Telekom'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 Deutsche Telekom may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BBEA | The Boston Beer | 0.00 | 0 per month | 1.27 | 0.1 | 2.55 | (2.85) | 8.27 | |
| 3T4 | TERADATA | 0.00 | 0 per month | 1.16 | 0.11 | 2.13 | (1.43) | 9.22 | |
| D0D | DICKER DATA LTD | 0.00 | 0 per month | 0.00 | (0.17) | 2.89 | (3.30) | 9.67 | |
| PUP0 | PUBLIC STORAGE PRFO | 0.00 | 0 per month | 0.92 | (0.05) | 1.84 | (1.79) | 5.42 | |
| 3EAG | G8 EDUCATION | 0.00 | 0 per month | 1.22 | 0.03 | 2.67 | (2.38) | 6.27 | |
| GKD | Grand Canyon Education | 0.00 | 0 per month | 1.14 | 0.07 | 2.46 | (2.36) | 18.39 | |
| PUP | Public Storage | 0.00 | 0 per month | 1.22 | 0.01 | 3.09 | (2.18) | 6.54 | |
| DOC2 | DOCDATA | 0.00 | 0 per month | 0.00 | (0.11) | 4.76 | (6.12) | 13.64 |
Deutsche Telekom Additional Predictive Modules
Most predictive techniques to examine Deutsche price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Deutsche using various technical indicators. When you analyze Deutsche 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 Deutsche Telekom Predictive Indicators
The successful prediction of Deutsche Telekom 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 Deutsche Telekom AG, 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 Deutsche Telekom based on analysis of Deutsche Telekom hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Deutsche Telekom's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Deutsche Telekom's related companies.
Story Coverage note for Deutsche Telekom
The number of cover stories for Deutsche Telekom depends on current market conditions and Deutsche Telekom's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Deutsche Telekom 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 Deutsche Telekom'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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Deutsche Telekom Short Properties
Deutsche Telekom's future price predictability will typically decrease when Deutsche Telekom's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Deutsche Telekom AG often depends not only on the future outlook of the potential Deutsche Telekom'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. Deutsche Telekom's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 5 B | |
| Cash And Short Term Investments | 5.9 B |
Additional Tools for Deutsche Stock Analysis
When running Deutsche Telekom's price analysis, check to measure Deutsche Telekom'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 Deutsche Telekom is operating at the current time. Most of Deutsche Telekom's value examination focuses on studying past and present price action to predict the probability of Deutsche Telekom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Telekom's price. Additionally, you may evaluate how the addition of Deutsche Telekom to your portfolios can decrease your overall portfolio volatility.