ING Groep NV

ING Groep NV(ING)价格预测

$33.270

-0.190 (-0.57%)收盘时

价格预测

1-Day Price Prediction
+3.01%
1-Week Prediction
+3.15%
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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ING 相似图表分析预测

Alphio's ING stock price prediction model matches the current ING Groep NV tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $34.27 (+3.01%). The 1-week path is $34.32 (+3.15%). 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 ING Groep NV 股票吗?

Given the current price of 33.37 and a low RSI of 19.647, ING Groep NV is currently oversold, indicating a potential buying opportunity. However, the stock has experienced a 10.46% decline over the past 20 days, which raises concerns about its short-term performance. The forward P/E ratio of 11.8343 suggests that the stock may be undervalued compared to its earnings potential, but the recent negative sentiment surrounding European economic uncertainties poses a risk.

ING 股价于 Thursday 收于 $33.27,此前下跌 -0.57%

ING Groep NV (ING) last closed at $33.27, losing -0.57%. These facts feed the 1-day and 1-week ING price prediction above.

分析师一致预期

ING Groep NV(ING):买入 1、持有 0、卖出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Neutral
Sell
0
Buy
1

预测驱动因素

ING Groep NV(ING)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 ING 最接近的股票,按相似度排序。

ING 季节性分析

Historically the probability of a positive October return for ING is 100.00%. July offers the highest probability of a positive month at 100.00%, while January 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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