T-Mobile (Germany) Price Prediction
| TM5 Stock | EUR 235.50 1.30 0.56% |
Oversold Vs Overbought
80
Oversold | Overbought |
Using T-Mobile hype-based prediction, you can estimate the value of T Mobile from the perspective of T-Mobile 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 T-Mobile to buy its stock at a price that has no basis in reality. In that case, they are not buying T-Mobile 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.
T-Mobile after-hype prediction price | EUR 235.5 |
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.
T-Mobile |
T-Mobile After-Hype Price Prediction Density Analysis
As far as predicting the price of T-Mobile 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 T-Mobile 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 T-Mobile, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
T-Mobile Estimiated After-Hype Price Volatility
In the context of predicting T-Mobile's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on T-Mobile's historical news coverage. T-Mobile's after-hype downside and upside margins for the prediction period are 234.00 and 237.00, respectively. We have considered T-Mobile'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
T-Mobile is very steady at this time. Analysis and calculation of next after-hype price of T Mobile is based on 3 months time horizon.
T-Mobile Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as T-Mobile is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading T-Mobile 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 T-Mobile, 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 |
0.44 | 1.50 | 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 | ||
235.50 | 235.50 | 0.00 |
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T-Mobile Hype Timeline
T Mobile is at this time traded for 235.50on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. T-Mobile is estimated 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 estimated to be very small, whereas the daily expected return is at this time at 0.44%. %. The volatility of related hype on T-Mobile is about 0.0%, with the expected price after the next announcement by competition of 235.50. About 53.0% of the company outstanding shares are owned by corporate insiders. The book value of T-Mobile was at this time reported as 56.45. The company has Price/Earnings To Growth (PEG) ratio of 0.47. T Mobile last dividend was issued on the 27th of November 2015. Assuming the 90 days horizon the next estimated press release will be within a week. Check out T-Mobile Basic Forecasting Models to cross-verify your projections.T-Mobile Related Hype Analysis
Having access to credible news sources related to T-Mobile's direct competition is more important than ever and may enhance your ability to predict T-Mobile's future price movements. Getting to know how T-Mobile'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 T-Mobile may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SOBA | ATT Inc | 0.00 | 0 per month | 0.85 | 0.18 | 2.49 | (1.61) | 6.02 | |
| DTE | Deutsche Telekom AG | 0.00 | 0 per month | 0.65 | 0.13 | 1.52 | (1.11) | 4.30 | |
| 8SP | Superior Plus Corp | 0.00 | 0 per month | 0.00 | (0.08) | 3.36 | (4.74) | 20.22 | |
| 6NM | NMI Holdings | 0.00 | 0 per month | 1.73 | (0.01) | 2.89 | (2.69) | 9.64 | |
| 39O1 | Origin Agritech | 0.00 | 0 per month | 3.52 | (0.01) | 8.41 | (5.38) | 24.06 | |
| 2DG | SIVERS SEMICONDUCTORS AB | 0.00 | 0 per month | 0.00 | (0.18) | 7.14 | (8.57) | 52.42 | |
| TM9 | NorAm Drilling AS | 0.00 | 0 per month | 0.00 | (0.03) | 5.56 | (6.43) | 36.50 | |
| TLX | Talanx AG | 0.00 | 0 per month | 1.14 | (0.08) | 2.67 | (1.64) | 7.58 | |
| INVN | Identiv | 0.00 | 0 per month | 2.41 | 0.05 | 5.61 | (4.25) | 14.01 |
T-Mobile Additional Predictive Modules
Most predictive techniques to examine T-Mobile price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for T-Mobile using various technical indicators. When you analyze T-Mobile 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 T-Mobile Predictive Indicators
The successful prediction of T-Mobile 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 T Mobile, 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 T-Mobile based on analysis of T-Mobile hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to T-Mobile's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to T-Mobile's related companies.
Story Coverage note for T-Mobile
The number of cover stories for T-Mobile depends on current market conditions and T-Mobile's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that T-Mobile 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 T-Mobile'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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T-Mobile Short Properties
T-Mobile's future price predictability will typically decrease when T-Mobile's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of T Mobile often depends not only on the future outlook of the potential T-Mobile'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. T-Mobile's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.2 B |
Complementary Tools for T-Mobile Stock analysis
When running T-Mobile's price analysis, check to measure T-Mobile'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 T-Mobile is operating at the current time. Most of T-Mobile's value examination focuses on studying past and present price action to predict the probability of T-Mobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move T-Mobile's price. Additionally, you may evaluate how the addition of T-Mobile to your portfolios can decrease your overall portfolio volatility.
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