KKR & Co Inc（KKR）价格预测

$109.720

+1.053 (+0.96%)收盘时

价格预测

1-Day Price Prediction

-0.43%

1-Week Prediction

+4.83%

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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KKR 相似图表分析预测

Alphio's KKR stock price prediction model matches the current KKR & Co Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $105.95 (-0.43%). The 1-week path is $111.55 (+4.83%). 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 KKR & Co Inc 股票吗？

KKR & Co Inc is a good buy right now, trading at $108.68, which is 16.72% below its GF Value estimate of $133.19. The forward P/E ratio is 17.21, indicating potential for growth as earnings improve. Additionally, hedge funds have increased their buying activity by 604.51% over the last quarter, suggesting strong institutional confidence. The main risk is the recent $250 million settlement over premerger violations, which could impact future deal-making strategies.

KKR 股价于 Monday 收于 $109.72，此前上涨 +0.96%

KKR & Co Inc (KKR) last closed at $106.41, losing -3.02%. These facts feed the 1-day and 1-week KKR price prediction above.

分析师一致预期

KKR & Co Inc（KKR）：买入 10、持有 4、卖出 0。展望：Buy。

Sell / Buy

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

Strong buy

Sell

Buy

预测驱动因素

KKR & Co Inc（KKR）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

Positive

Bullish

相似图表形态

近期走势与 KKR 最接近的股票，按相似度排序。

IONQ

91.36%

+9.59%

CIEN

90.85%

+8.98%

EPAM

90.47%

-6.50%

90.33%

-91.00%

PINS

90.33%

-12.85%

KKR 季节性分析

Historically the probability of a positive September return for KKR is 50.00%. January offers the highest probability of a positive month at 65.57%, 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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