$20.290
+0.639 (+3.15%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
LCNB 相似图表分析预测
Alphio's LCNB stock price prediction model matches the current LCNB Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $20.45 (+0.78%). The 1-week path is $20.46 (+0.83%). 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 LCNB Corp 股票吗？
LCNB Corp is a good buy right now due to its current price of $20 being at 79.7% of its 52-week range, indicating it is near its high, and a strong year-to-date change of +23.53%. The stock has a low forward P/E of 13.05, suggesting it is reasonably valued compared to future earnings. However, the main risk is the slower loan growth prospects indicated by analysts, which could impact future profitability.
LCNB 股价于 Wednesday 收于 $20.29，此前上涨 +3.15%
LCNB Corp (LCNB) last closed at $20.2900009, gaining +3.15%. These facts feed the 1-day and 1-week LCNB price prediction above.
分析师一致预期
LCNB Corp（LCNB）：买入 0、持有 1、卖出 0。展望：Hold。
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
预测驱动因素
LCNB Corp（LCNB）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
Bullish
SMA 20
Bullish
SMA 200
Bullish
相似图表形态
近期走势与 LCNB 最接近的股票，按相似度排序。
LCNB 季节性分析
Historically the probability of a positive November return for LCNB is 92.86%. November offers the highest probability of a positive month at 92.86%, while May is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
LCNB 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Nov 2026 | $14.91 | $18.85 | $19.24 | -7.08% |
| Dec 2026 | $15.32 | $18.18 | $22.10 | -10.42% |
2026 年，LCNB Corp（LCNB）预计区间为 $14.91 至 $22.10。
LCNB Corp 2026 年月度预测
2026 年 Nov，LCNB Corp 预计均价 $18.85，最低 $14.91，最高 $19.24。
2026 年 Dec，LCNB Corp 预计均价 $18.18，最低 $15.32，最高 $22.10。
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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。