Kearny Financial Corp（KRNY）價格預測

$9.060

+0.194 (+2.14%)收盤時

價格預測

1-Day Price Prediction

-0.10%

1-Week Prediction

-0.57%

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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KRNY 相似圖表分析預測

Alphio's KRNY stock price prediction model matches the current Kearny Financial Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $9.05 (-0.10%). The 1-week path is $9.01 (-0.57%). 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 Kearny Financial Corp 股票嗎？

Kearny Financial Corp is currently trading at $8.97, which is below the average analyst price target of $10.25. However, the stock has a low RSI of 32.725, indicating it may be oversold, but recent performance shows a 1-year change of +33.68%, suggesting strong long-term growth. The main risk is the recent earnings miss, where the reported EPS of $0.11 was $0.06 below expectations, which could dampen investor confidence in the short term.

KRNY 股價於 Tuesday 收在 $9.06，此前上漲 +2.14%

Kearny Financial Corp (KRNY) last closed at $9.06, gaining +0.00%. These facts feed the 1-day and 1-week KRNY price prediction above.

分析師一致預期

Kearny Financial Corp（KRNY）：買進 2、持有 0、賣出 1。展望：Buy。

Sell / Buy

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Neutral

Sell

Buy

預測驅動因素

Kearny Financial Corp（KRNY）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

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 KRNY 最接近的股票，依相似度排序。

REZI

91.18%

-3.67%

90.46%

-15.72%

BTU

90.39%

+6.02%

ARES

90.05%

-4.14%

DNLI

89.79%

+5.31%

KRNY 季節性分析

Historically the probability of a positive October return for KRNY is 29.51%. February offers the highest probability of a positive month at 60.34%, while November 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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