CMB.TECH NV

CMB.TECH NV(CMBT)价格预测

$17.350

+0.101 (+0.58%)收盘时

价格预测

1-Day Price Prediction
+0.48%
1-Week Prediction
-1.91%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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在 App 中打开以解锁更长周期的预测。

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CMBT 相似图表分析预测

Alphio's CMBT stock price prediction model matches the current CMB.TECH NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $17.43 (+0.48%). The 1-week path is $17.02 (-1.91%). 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.

该买入 CMB.TECH NV 股票吗?

CMB.TECH NV is currently not a strong buy due to its recent price decline and technical indicators, despite a solid long-term outlook. The current price is $17.25, but the RSI is at a low 18.558, indicating oversold conditions. Additionally, the forward P/E ratio stands at 16.03, suggesting that the stock may be overvalued relative to its earnings potential. The recent 5-day change is a significant drop of -16.26%, which raises concerns about short-term performance. However, the company reported a net profit of $364.4 million in Q2, indicating strong operational performance. The primary risk is the recent price decline, which could continue if market sentiment does not improve.

CMBT 股价于 Monday 收于 $17.35,此前上涨 +0.58%

CMB.TECH NV (CMBT) last closed at $17.35, gaining +0.58%. These facts feed the 1-day and 1-week CMBT price prediction above.

预测驱动因素

CMB.TECH NV(CMBT)的预测驱动因素综合了相似的图表形态、季节性与移动平均线。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似图表形态

近期走势与 CMBT 最接近的股票,按相似度排序。

CMBT 季节性分析

Historically the probability of a positive October return for CMBT is 61.02%. January offers the highest probability of a positive month at 88.52%, while December 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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本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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