$26.400
-4.456 (-16.88%)收盤時
價格預測
在 App 中開啟以解鎖更長週期的預測。
SILC 相似圖表分析預測
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.
該買進 Silicom Ltd 股票嗎?
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 股價於 Thursday 收在 $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.
分析師一致預期
Silicom Ltd(SILC):買進 2、持有 0、賣出 0。展望:Strong Buy。
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
預測驅動因素
Silicom Ltd(SILC)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
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
相似圖表形態
近期走勢與 SILC 最接近的股票,依相似度排序。
SILC 季節性分析
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。