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Grupo Supervielle SA Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and SUPV is experiencing slight selling pressure.

Grupo Supervielle SA Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 13.44 Buy
20-day SMA: 12.28 Buy
50-day SMA: 10.18 Buy
200-day SMA: 7.45 Buy
8-day EMA: 13.77 Buy
20-day EMA: 12.49 Buy
50-day EMA: 10.77 Buy
200-day EMA: 7.76 Buy

Grupo Supervielle SA Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.21 Buy
Relative Strength Index (14 RSI): 84.28 Buy
Chaikin Money Flow: -116242 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (10.51 - 13.31) Buy
Bollinger Bands (100): (6.53 - 10.85) Buy

Grupo Supervielle SA Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Grupo Supervielle SA Stock

Is Grupo Supervielle SA Stock a Buy?

SUPV Technical Analysis vs Fundamental Analysis

Buy
95
Grupo Supervielle SA (SUPV) is a Buy

Is Grupo Supervielle SA a Buy or a Sell?

Grupo Supervielle SA Stock Info

Market Cap:
1.36B
Price in USD:
15.54
Share Volume:
2.31M

Grupo Supervielle SA 52-Week Range

52-Week High:
16.27
52-Week Low:
3.33
Buy
95
Grupo Supervielle SA (SUPV) is a Buy

Grupo Supervielle SA Share Price Forecast

Is Grupo Supervielle SA Stock a Buy?

Fundamental Analysis of Grupo Supervielle SA

Is Grupo Supervielle SA a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.07 per share, and a decrease next year of $0.00 per share.

Technical Analysis of Grupo Supervielle SA

Should I short Grupo Supervielle SA stock?

* Grupo Supervielle SA stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.