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abrdn Global Infrastructure Income Fund 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 ASGI is experiencing slight selling pressure.

abrdn Global Infrastructure Income Fund Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 19.46 Buy
20-day SMA: 19.51 Buy
50-day SMA: 19.82 Sell
200-day SMA: 18.67 Buy
8-day EMA: 19.53 Buy
20-day EMA: 19.57 Sell
50-day EMA: 19.62 Sell
200-day EMA: 18.89 Buy

abrdn Global Infrastructure Income Fund Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.08 Sell
Relative Strength Index (14 RSI): 48.47 Sell
Chaikin Money Flow: -18441 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (19.3 - 19.98) Sell
Bollinger Bands (100): (18.91 - 19.99) Buy

abrdn Global Infrastructure Income Fund 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 abrdn Global Infrastructure Income Fund Stock

Is abrdn Global Infrastructure Income Fund Stock a Buy?

ASGI Technical Analysis vs Fundamental Analysis

Buy
62
abrdn Global Infrastructure Income Fund (ASGI) is a Buy

Is abrdn Global Infrastructure Income Fund a Buy or a Sell?

abrdn Global Infrastructure Income Fund Stock Info

Market Cap:
0
Price in USD:
19.56
Share Volume:
101.43K

abrdn Global Infrastructure Income Fund 52-Week Range

52-Week High:
20.35
52-Week Low:
16.58
Buy
62
abrdn Global Infrastructure Income Fund (ASGI) is a Buy

abrdn Global Infrastructure Income Fund Share Price Forecast

Is abrdn Global Infrastructure Income Fund Stock a Buy?

Technical Analysis of abrdn Global Infrastructure Income Fund

Should I short abrdn Global Infrastructure Income Fund stock?

* abrdn Global Infrastructure Income Fund stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.