VEON Ltd

VEON Ltd(VEON)價格預測

$82.180

-1.011 (-1.23%)收盤時

價格預測

1-Day Price Prediction
-0.90%
1-Week Prediction
-1.79%
1-Month Prediction
—
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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VEON 相似圖表分析預測

Alphio's VEON stock price prediction model matches the current VEON Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $81.44 (-0.90%). The 1-week path is $80.71 (-1.79%). 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 VEON Ltd 股票嗎?

VEON is a good buy right now due to its current price of $83.20, which is significantly below the analyst price target of $112 from Cantor Fitzgerald, indicating a potential upside of 34.5%. Additionally, the forward P/E ratio of 7.92 suggests the stock is undervalued compared to its earnings potential. The main risk is the volatility shown in the recent earnings where net income fluctuated, with a significant loss of $131 million in Q3 2025, which investors should monitor closely.

VEON 股價於 Monday 收在 $82.18,此前下跌 -1.23%

VEON Ltd (VEON) last closed at $82.18, losing -1.23%. These facts feed the 1-day and 1-week VEON price prediction above.

分析師一致預期

VEON Ltd(VEON):買進 12、持有 3、賣出 0。展望:Strong Buy。

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

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
12

預測驅動因素

VEON Ltd(VEON)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

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 VEON 最接近的股票,依相似度排序。

VEON 季節性分析

Historically the probability of a positive October return for VEON is 100.00%. August offers the highest probability of a positive month at 100.00%, 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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本頁僅供研究參考,不構成投資建議。模型可能出錯。過往表現不代表未來結果。

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