Celestica Inc（CLS）价格预测

$269.010

-31.447 (-11.69%)收盘时

价格预测

1-Day Price Prediction

-2.96%

1-Week Prediction

-2.09%

1-Month Prediction

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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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CLS 相似图表分析预测

Alphio's CLS stock price prediction model matches the current Celestica Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $261.05 (-2.96%). The 1-week path is $263.39 (-2.09%). 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 Celestica Inc 股票吗？

Celestica Inc is currently not a strong buy due to its recent price drop of 16.11% over the last five days and an RSI of 21.245, indicating oversold conditions. However, the company has shown strong revenue growth, with a 62% year-over-year increase in Q2 and a forward P/E ratio of 18.4843, suggesting potential for future earnings growth. The main risk is the recent performance trend, with a 5-day change of -16.11%, which could indicate continued volatility.

CLS 股价于 Thursday 收于 $269.01，此前下跌 -11.69%

Celestica Inc (CLS) last closed at $269.01, losing -11.69%. These facts feed the 1-day and 1-week CLS price prediction above.

分析师一致预期

Celestica Inc（CLS）：买入 3、持有 9、卖出 0。展望：Hold。

Sell / Buy

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

Buy

Sell

Buy

预测驱动因素

Celestica Inc（CLS）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

Negative

Bearish

相似图表形态

近期走势与 CLS 最接近的股票，按相似度排序。

GPC

88.30%

-10.09%

IOT

85.87%

-5.37%

TJX

85.59%

+4.09%

RAMP

85.17%

-8.50%

AVPT

85.07%

-2.14%

CLS 季节性分析

Historically the probability of a positive October return for CLS is 95.16%. June offers the highest probability of a positive month at 100.00%, while March 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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