Somnigroup International Inc

Somnigroup International Inc(SGI)價格預測

$63.580

-1.176 (-1.85%)收盤時

價格預測

1-Day Price Prediction
-0.07%
1-Week Prediction
-0.03%
1-Month Prediction
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2026 Prediction
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2030 Prediction
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在 App 中開啟以解鎖更長週期的預測。

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SGI 相似圖表分析預測

Alphio's SGI stock price prediction model matches the current Somnigroup International Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $63.54 (-0.07%). The 1-week path is $63.56 (-0.03%). 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 Somnigroup International Inc 股票嗎?

Somnigroup International Inc appears to be a good buy right now due to its recent acquisition of Leggett & Platt, which is expected to enhance earnings per share by $0.35 to $0.40. The forward P/E ratio is currently 25.77, suggesting the stock is reasonably valued given its growth potential. Additionally, hedge funds have increased their buying activity by 1687.46% over the last quarter, indicating strong institutional interest. However, a risk to consider is the current RSI of 55.77, which suggests the stock is approaching overbought territory, potentially leading to short-term volatility.

SGI 股價於 Friday 收在 $63.58,此前下跌 -1.85%

Somnigroup International Inc (SGI) last closed at $63.58, losing -1.85%. These facts feed the 1-day and 1-week SGI price prediction above.

預測驅動因素

Somnigroup International Inc(SGI)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

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 SGI 最接近的股票,依相似度排序。

SGI 季節性分析

Historically the probability of a positive October return for SGI is 68.97%. December offers the highest probability of a positive month at 100.00%, while June 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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