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FT Canadian Capital Strength ETF Comm 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 FST.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

FT Canadian Capital Strength ETF Comm Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 55.89 Buy
20-day SMA: 55.07 Buy
50-day SMA: 53.76 Buy
200-day SMA: 50.63 Buy
8-day EMA: 55.98 Buy
20-day EMA: 55.23 Buy
50-day EMA: 54.07 Buy
200-day EMA: 50.73 Buy

FT Canadian Capital Strength ETF Comm Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.73 Buy
Relative Strength Index (14 RSI): 76.7 Buy
Chaikin Money Flow: 1371 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (54.15 - 55.77) Buy
Bollinger Bands (100): (50.66 - 54.28) Buy

FT Canadian Capital Strength ETF Comm 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 FT Canadian Capital Strength ETF Comm Stock

Is FT Canadian Capital Strength ETF Comm Stock a Buy?

FST.TO Technical Analysis vs Fundamental Analysis

Buy
66
FT Canadian Capital Strength ETF Comm (FST.TO) is a Buy

Is FT Canadian Capital Strength ETF Comm a Buy or a Sell?

FT Canadian Capital Strength ETF Comm Stock Info

Market Cap:
0
Price in USD:
56.54
Share Volume:
1.6K

FT Canadian Capital Strength ETF Comm 52-Week Range

52-Week High:
56.59
52-Week Low:
42.97
Buy
66
FT Canadian Capital Strength ETF Comm (FST.TO) is a Buy

FT Canadian Capital Strength ETF Comm Share Price Forecast

Is FT Canadian Capital Strength ETF Comm Stock a Buy?

Technical Analysis of FT Canadian Capital Strength ETF Comm

Should I short FT Canadian Capital Strength ETF Comm stock?

* FT Canadian Capital Strength ETF Comm stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.