Supercom Ltd（SPCB）价格预测

$8.360

+0.060 (+0.72%)收盘时

价格预测

1-Day Price Prediction

+2.39%

1-Week Prediction

-8.05%

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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SPCB 相似图表分析预测

Alphio's SPCB stock price prediction model matches the current Supercom Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.56 (+2.39%). The 1-week path is $7.69 (-8.05%). 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 Supercom Ltd 股票吗？

Supercom Ltd (SPCB) is a good buy right now due to its current price of $9.54, which is 42.6% of its 52-week range, indicating room for growth. The company has secured over $3 million in new orders, which is expected to boost its financial performance, alongside a gross margin of 60.37% in Q2 2026. However, the main risk is the high forward P/E ratio of 35.21, which suggests that the stock may be overvalued if growth does not meet expectations.

SPCB 股价于 Friday 收于 $8.36，此前上涨 +0.72%

Supercom Ltd (SPCB) last closed at $8.3635998, gaining +0.77%. These facts feed the 1-day and 1-week SPCB price prediction above.

分析师一致预期

Supercom Ltd（SPCB）：买入 1、持有 0、卖出 0。展望：Strong Buy。

Sell / Buy

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

Neutral

Sell

Buy

预测驱动因素

Supercom Ltd（SPCB）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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 SPCB 最接近的股票，按相似度排序。

ARHS

91.06%

-11.80%

HTHT

90.86%

+18.00%

AMPX

90.30%

-7.06%

EXE

89.84%

+15.07%

KTOS

89.65%

-12.73%

SPCB 季节性分析

Historically the probability of a positive November return for SPCB is 45.45%. June offers the highest probability of a positive month at 68.33%, 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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