T-Mobile US Inc（TMUS）價格預測

$146.540

-11.298 (-7.71%)收盤時

價格預測

1-Day Price Prediction

-0.49%

1-Week Prediction

-1.49%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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TMUS 相似圖表分析預測

Alphio's TMUS stock price prediction model matches the current T-Mobile US Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $146.21 (-0.49%). The 1-week path is $144.74 (-1.49%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.

該買進 T-Mobile US Inc 股票嗎？

T-Mobile US Inc is not a good buy right now due to significant competitive pressures and declining stock performance. The current price of $146.54 is down 26.58% year-to-date, and the RSI is at a low of 30.975, indicating oversold conditions. Additionally, the forward P/E ratio of 11.7371 suggests potential undervaluation, but risks from new competition, particularly from SpaceX, could further impact the stock negatively.

TMUS 股價於 Friday 收在 $146.54，此前下跌 -7.71%

T-Mobile US Inc (TMUS) last closed at $146.9299927, gaining +0.27%. These facts feed the 1-day and 1-week TMUS price prediction above.

分析師一致預期

T-Mobile US Inc（TMUS）：買進 23、持有 6、賣出 1。展望：Buy。

Sell / Buy

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong buy

Sell

Buy

預測驅動因素

T-Mobile US Inc（TMUS）的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Negative

Bearish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 TMUS 最接近的股票，依相似度排序。

STLA

92.52%

-13.13%

PGNY

92.28%

-1.44%

LVS

91.94%

-6.04%

HLIT

91.67%

-4.59%

ZBH

91.16%

-5.03%

TMUS 季節性分析

Historically the probability of a positive October return for TMUS is 64.62%. March offers the highest probability of a positive month at 87.30%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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