T-Mobile Stock Forward View - Simple Exponential Smoothing
| TM5 Stock | EUR 185.24 2.34 1.28% |
Momentum
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth -0.27 | Quarterly Revenue Growth 0.113 |
This view connects T Mobile headline attention with price response and peer context.
The Simple Exponential Smoothing forecasted value of T Mobile on the next trading day is expected to be 185.24 with a mean absolute deviation of 2.75 and the sum of the absolute errors of 164.82.T-Mobile after-hype prediction price | € 184.73 |
Hype metrics are shown as one component among forecasting, technical, analyst, and earnings context.
T-Mobile |
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 |
Simple Exponential Smoothing Price Forecast For the 16th of March 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of T Mobile on the next trading day is expected to be 185.24 with a mean absolute deviation of 2.75 , mean absolute percentage error of 12.60 , and the sum of the absolute errors of 164.82 .Please note that although there have been many attempts to predict T-Mobile Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that T-Mobile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest T-Mobile | T-Mobile Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for T Mobile uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of T-Mobile stock data series using in forecasting. Note that when a statistical model is used to represent T-Mobile stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.8067 |
| Bias | Arithmetic mean of the errors | -0.319 |
| MAD | Mean absolute deviation | 2.747 |
| MAPE | Mean absolute percentage error | 0.016 |
| SAE | Sum of the absolute errors | 164.82 |
Mean reversion opportunities in T-Mobile's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.
After-Hype Price Density Analysis
Using probability distributions for T-Mobile forecasting acknowledges that no model can consistently predict T-Mobile's exact future price. The distribution approach quantifies model uncertainty and helps investors avoid overconfidence in any single forecast.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The after-hype price analysis for T-Mobile provides a news-conditional view of potential price outcomes. T-Mobile's after-hype downside and upside margins for the prediction period are 182.63 and 186.83, respectively. This analysis complements technical and fundamental research by adding a news-sentiment dimension to T-Mobile's price forecasting.
Current Value
The after-hype framework applied to T Mobile assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook 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 |
0.20 | 2.08 | 0.51 | 3.52 | 7 Events | 2 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
185.24 | 184.73 | 0.28 |
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Hype Timeline
T Mobile is at this time traded for 185.24on Frankfurt Exchange of Germany. The company has historical hype elasticity of -0.51, and average elasticity to hype of competition of -3.52. T-Mobile is estimated to decline in value after the next headline, with the price expected to drop to 184.73. The average volatility of media hype impact on the company price is about 80.93%. The price reduction on the next news is expected to be -0.28%, whereas the daily expected return is at this time at 0.2%. The volatility of related hype on T-Mobile is about 11.83%, with the expected price after the next announcement by competition of 181.72. About 56.0% of the company outstanding shares are owned by corporate insiders. The book value of T-Mobile was at this time reported as 46.43. The company has Price/Earnings To Growth (PEG) ratio of 0.8. T Mobile recorded earning per share (EPS) of 8.41. The company last dividend was issued on the 27th of February 2026. Assuming a 90-day horizon the next estimated press release will be in 7 days. Cross-verify projections for T-Mobile using Historical Fundamental Analysis of T-Mobile. The view provides historical context for the projection set.Related Hype Analysis
The peer hype comparison table for T-Mobile includes downside risk metrics such as value-at-risk and maximum drawdown for T-Mobile's competitors. providing context for assessing the relative risk profile of a T-Mobile investment.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 1QK | Aedas Homes SA | 0.65 | 4 per month | 0.00 | -0.02 | 1.11 | -1.53 | 4.58 | |
| A41 | Addus HomeCare | 4.00 | 8 per month | 0.00 | -0.05 | 2.94 | -3.35 | 16.21 | |
| 7FZ | INTER CARS SA | -145.67 | 4 per month | 2.06 | 0.08 | 3.69 | -4.35 | 13.85 | |
| GRU | Geely Automobile Holdings | 0.02 | 3 per month | 1.48 | 0.03 | 3.74 | -2.66 | 9.48 | |
| 4NM1 | China Evergrande New | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GOKA | Office Properties Income | 0.00 | 5 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 690D | HAIER SMART HOME | -0.04 | 4 per month | 0.00 | -0.06 | 1.04 | -1.48 | 7.56 | |
| A4XA | American Homes 4 | 0.39 | 8 per month | 0.00 | -0.02 | 2.30 | -3.00 | 7.80 |
Other Forecasting Options for T-Mobile
The movement of T-Mobile price is the central consideration for investors deciding whether to enter or hold a position. Noise in T-Mobile Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.T-Mobile Related Equities
The following equities are related to T-Mobile within the Communication Services space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing T-Mobile against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
T-Mobile Market Strength Events
Investors use market strength indicators for T-Mobile to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of T Mobile positions, helping investors maximize return and minimize poorly-timed trades.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 185.24 | |||
| Day Typical Price | 185.24 | |||
| Price Action Indicator | 1.17 | |||
| Period Momentum Indicator | 2.34 |
T-Mobile Risk Indicators
A careful analysis of T-Mobile's basic risk indicators helps investors understand the risk environment surrounding t-mobile stock. This understanding is an essential input for forecasting T-Mobile's future price and for deciding how to manage the associated investment risk.
| Mean Deviation | 1.66 | |||
| Semi Deviation | 1.89 | |||
| Standard Deviation | 2.14 | |||
| Variance | 4.58 | |||
| Downside Variance | 3.73 | |||
| Semi Variance | 3.56 | |||
| Expected Short fall | -1.83 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for T-Mobile
Coverage intensity for T Mobile matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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More Resources for T-Mobile Stock Analysis
A comprehensive view of T Mobile starts with financial statements and ratio context. Financial ratios provide context for profitability, efficiency, and growth trends. Outlined below are key reports that provide context for T Mobile Stock:Cross-verify projections for T-Mobile using Historical Fundamental Analysis of T-Mobile. The view provides historical context for the projection set. For a detailed overview of how to trade T-Mobile Stock, see our How to Trade T-Mobile Stock guide.Analysis related to T-Mobile should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.