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Saba Capital Income & Opportunities Fund Stock Price Chart

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

Saba Capital Income & Opportunities Fund Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.98 Buy
20-day SMA: 7.09 Sell
50-day SMA: 7.17 Sell
200-day SMA: 7.42 Sell
8-day EMA: 7.01 Buy
20-day EMA: 7.07 Sell
50-day EMA: 7.15 Sell
200-day EMA: 7.4 Sell

Saba Capital Income & Opportunities Fund Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.07 Sell
Relative Strength Index (14 RSI): 46.95 Sell
Chaikin Money Flow: -103608 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.99 - 7.27) Sell
Bollinger Bands (100): (7.1 - 7.34) Sell

Saba Capital Income & Opportunities 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 Saba Capital Income & Opportunities Fund Stock

Is Saba Capital Income & Opportunities Fund Stock a Buy?

BRW Technical Analysis vs Fundamental Analysis

Buy
52
Saba Capital Income & Opportunities Fund (BRW) is a Buy

Is Saba Capital Income & Opportunities Fund a Buy or a Sell?

Saba Capital Income & Opportunities Fund Stock Info

Market Cap:
0
Price in USD:
7.06
Share Volume:
259.02K

Saba Capital Income & Opportunities Fund 52-Week Range

52-Week High:
8.04
52-Week Low:
6.86
Buy
52
Saba Capital Income & Opportunities Fund (BRW) is a Buy

Saba Capital Income & Opportunities Fund Share Price Forecast

Is Saba Capital Income & Opportunities Fund Stock a Buy?

Technical Analysis of Saba Capital Income & Opportunities Fund

Should I short Saba Capital Income & Opportunities Fund stock?

* Saba Capital Income & Opportunities 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.