$26.400
-4.456 (-16.88%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
SILC 相似图表分析预测
Alphio's SILC stock price prediction model matches the current Silicom Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $26.80 (+1.51%). The 1-week path is $27.16 (+2.86%). 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 Silicom Ltd 股票吗?
Silicom Ltd is currently not a strong buy due to its recent price decline and technical indicators, despite a positive long-term outlook. The current price is $31.02, which is significantly lower than the 52-week high of $63.00, indicating a potential for recovery. However, the RSI is at 23.111, suggesting the stock is oversold, and the recent 5-day change is -22.64%, indicating a bearish trend. The forward P/E ratio is 10.7181, which is reasonable, but the company still faces profitability challenges as shown by its recent net income figures, with a net loss of $341,000 in Q3 2026. The main risk is the volatility of the stock, as evidenced by a 20% drop following an earnings report, which could deter new investors.
SILC 股价于 Thursday 收于 $26.40,此前下跌 -16.88%
Silicom Ltd (SILC) last closed at $26.3999996, losing -16.88%. These facts feed the 1-day and 1-week SILC price prediction above.
分析师一致预期
Silicom Ltd(SILC):买入 2、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.
预测驱动因素
Silicom Ltd(SILC)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
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似图表形态
近期走势与 SILC 最接近的股票,按相似度排序。
SILC 季节性分析
Historically the probability of a positive November return for SILC is 18.60%. September offers the highest probability of a positive month at 67.74%, 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。