Financhill
Back

Calamos Strategic Total Return 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 CSQ is experiencing buying pressure, which is a positive indicator for future bullish movement.

Calamos Strategic Total Return Fund Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 18.87 Buy
20-day SMA: 18.71 Buy
50-day SMA: 18.98 Buy
200-day SMA: 17.81 Buy
8-day EMA: 18.91 Buy
20-day EMA: 18.81 Buy
50-day EMA: 18.35 Buy
200-day EMA: 11.19 Buy

Calamos Strategic Total Return Fund Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.03 Buy
Relative Strength Index (14 RSI): 59.96 Buy
Chaikin Money Flow: 303229 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (18.4 - 19.2) Buy
Bollinger Bands (100): (18.37 - 19.19) Buy

Calamos Strategic Total Return 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 Calamos Strategic Total Return Fund Stock

Is Calamos Strategic Total Return Fund Stock a Buy?

CSQ Technical Analysis vs Fundamental Analysis

Buy
67
Calamos Strategic Total Return Fund (CSQ) is a Buy

Is Calamos Strategic Total Return Fund a Buy or a Sell?

Calamos Strategic Total Return Fund Stock Info

Market Cap:
0
Price in USD:
19.22
Share Volume:
303.2K

Calamos Strategic Total Return Fund 52-Week Range

52-Week High:
19.57
52-Week Low:
13.11
Buy
67
Calamos Strategic Total Return Fund (CSQ) is a Buy

Calamos Strategic Total Return Fund Share Price Forecast

Is Calamos Strategic Total Return Fund Stock a Buy?

Technical Analysis of Calamos Strategic Total Return Fund

Should I short Calamos Strategic Total Return Fund stock?

* Calamos Strategic Total Return 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.