Somnigroup International Inc

Somnigroup International Inc(SGI)价格预测

$63.580

-1.176 (-1.85%)收盘时

价格预测

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 中打开以解锁更长周期的预测。

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SGI 相似图表分析预测

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.

该买入 Somnigroup International Inc 股票吗?

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 股价于 Friday 收于 $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.

预测驱动因素

Somnigroup International Inc(SGI)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

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 SGI 最接近的股票,按相似度排序。

SGI 季节性分析

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。

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