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Gabelli Dividend & Income Trust Stock Price Chart

Buy
73

GDV
Gabelli Dividend & Income Trust

Last Price:
22.87
Seasonality Move:
1.72%

7 Day Trial

ALL ACCESS PASS

$ 7
  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and GDV is experiencing slight selling pressure.

Gabelli Dividend & Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 22.65 Buy
20-day SMA: 22.26 Buy
50-day SMA: 22.33 Buy
200-day SMA: 21.07 Buy
8-day EMA: 22.65 Buy
20-day EMA: 22.4 Buy
50-day EMA: 22.23 Buy
200-day EMA: 21.51 Buy

Gabelli Dividend & Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.18 Buy
Relative Strength Index (14 RSI): 66.39 Buy
Chaikin Money Flow: -9910 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (21.68 - 22.56) Buy
Bollinger Bands (100): (21.54 - 22.54) Buy

Gabelli Dividend & Income Trust 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 Gabelli Dividend & Income Trust Stock

Is Gabelli Dividend & Income Trust Stock a Buy?

GDV Technical Analysis vs Fundamental Analysis

Buy
73
Gabelli Dividend & Income Trust (GDV) is a Buy

Is Gabelli Dividend & Income Trust a Buy or a Sell?

Gabelli Dividend & Income Trust Stock Info

Market Cap:
0
Price in USD:
22.87
Share Volume:
128.83K

Gabelli Dividend & Income Trust 52-Week Range

52-Week High:
23.00
52-Week Low:
18.04
Buy
73
Gabelli Dividend & Income Trust (GDV) is a Buy

Gabelli Dividend & Income Trust Share Price Forecast

Is Gabelli Dividend & Income Trust Stock a Buy?

Technical Analysis of Gabelli Dividend & Income Trust

Should I short Gabelli Dividend & Income Trust stock?

* Gabelli Dividend & Income Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.