Grupo Supervielle SA

Grupo Supervielle SA(SUPV)價格預測

$8.800

+0.061 (+0.69%)收盤時

價格預測

1-Day Price Prediction
+0.79%
1-Week Prediction
+2.91%
1-Month Prediction
2026 Prediction
2030 Prediction

在 App 中開啟以解鎖更長週期的預測。

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SUPV 相似圖表分析預測

Alphio's SUPV stock price prediction model matches the current Grupo Supervielle SA tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $8.87 (+0.79%). The 1-week path is $9.06 (+2.91%). 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 Grupo Supervielle SA 股票嗎?

Grupo Supervielle is a good buy right now due to its recent return to profitability, reporting an attributable net income of ARS 13 billion in Q2 2026, which is a significant turnaround from a loss of ARS 18 billion in Q1. Additionally, the forward P/E ratio is 7.82, indicating potential undervaluation compared to future earnings. The main risk is the recent decline in net income, which was -12.16% over the last 20 days, highlighting volatility in performance.

SUPV 股價於 Tuesday 收在 $8.80,此前上漲 +0.69%

Grupo Supervielle SA (SUPV) last closed at $8.8, gaining +0.69%. These facts feed the 1-day and 1-week SUPV price prediction above.

分析師一致預期

Grupo Supervielle SA(SUPV):買進 4、持有 2、賣出 0。展望: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
4

預測驅動因素

Grupo Supervielle SA(SUPV)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

Positive

Bullish

SMA 200

Negative

Bearish

相似圖表形態

近期走勢與 SUPV 最接近的股票,依相似度排序。

SUPV 季節性分析

Historically the probability of a positive September return for SUPV is 47.62%. January offers the highest probability of a positive month at 55.74%, 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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