United States Lime & Minerals Inc

United States Lime & Minerals Inc(USLM)价格预测

$115.830

+0.359 (+0.31%)收盘时

价格预测

1-Day Price Prediction
-0.11%
1-Week Prediction
+4.19%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中打开以解锁更长周期的预测。

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USLM 相似图表分析预测

Alphio's USLM stock price prediction model matches the current United States Lime & Minerals Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $115.70 (-0.11%). The 1-week path is $120.68 (+4.19%). 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 United States Lime & Minerals Inc 股票吗?

United States Lime & Minerals Inc is currently a hold. The stock is trading at $119.96, with a forward P/E ratio of 15.24, indicating reasonable valuation compared to its earnings potential. However, the recent revenue decline of 3.8% year-over-year raises concerns about future growth. Additionally, the RSI is at 58.72, suggesting the stock is approaching overbought territory, which may limit short-term upside. Investors should be cautious as the stock's performance has been impacted by a recent earnings miss and market valuation concerns, making it prudent to hold rather than buy at this time.

USLM 股价于 Thursday 收于 $115.83,此前上涨 +0.31%

United States Lime & Minerals Inc (USLM) last closed at $115.83, gaining +0.31%. These facts feed the 1-day and 1-week USLM price prediction above.

预测驱动因素

United States Lime & Minerals Inc(USLM)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

Negative

Bearish

SMA 200

Negative

Bearish

相似图表形态

近期走势与 USLM 最接近的股票,按相似度排序。

USLM 季节性分析

Historically the probability of a positive September return for USLM is 86.67%. October offers the highest probability of a positive month at 95.65%, 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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