Cemtrex, Inc.

Cemtrex, Inc.(CETX)價格預測

$1.780

+0.010 (+0.56%)收盤時

價格預測

1-Day Price Prediction
-1.25%
1-Week Prediction
+2.25%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
—

在 App 中開啟以解鎖更長週期的預測。

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CETX 相似圖表分析預測

Alphio's CETX stock price prediction model matches the current Cemtrex, Inc. tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.22 (-1.25%). The 1-week path is $1.27 (+2.25%). 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 Cemtrex, Inc. 股票嗎?

Cemtrex Inc (CETX) is not a strong buy right now due to its significant decline in stock price and ongoing operational challenges. The current price is $1.73, with an RSI of 28.36 indicating oversold conditions. However, the stock has a forward P/E of 5.69, suggesting it may be undervalued if future earnings improve. The main risk is the 96.71% decline in stock price over the past year, indicating severe volatility and uncertainty in its recovery.

CETX 股價於 Thursday 收在 $1.78,此前上漲 +0.56%

Cemtrex, Inc. (CETX) last closed at $1.24, losing -30.34%. These facts feed the 1-day and 1-week CETX price prediction above.

分析師一致預期

Cemtrex, Inc.(CETX):買進 1、持有 0、賣出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Neutral
Sell
0
Buy
1

預測驅動因素

Cemtrex, Inc.(CETX)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

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 CETX 最接近的股票,依相似度排序。

CETX 季節性分析

Historically the probability of a positive October return for CETX is 0.00%. January offers the highest probability of a positive month at 26.23%, while February 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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