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Canadian Pacific Kansas City Stock Price Chart

  • The current trend is moderately bearish and CP.TO is experiencing slight selling pressure.

Canadian Pacific Kansas City Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 111.28 Sell
20-day SMA: 112.39 Sell
50-day SMA: 109.1 Buy
200-day SMA: 109.79 Buy
8-day EMA: 111.24 Sell
20-day EMA: 111.23 Sell
50-day EMA: 110.1 Buy
200-day EMA: 109.62 Buy

Canadian Pacific Kansas City Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.37 Buy
Relative Strength Index (14 RSI): 48.88 Sell
Chaikin Money Flow: -734956 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

Canadian Pacific Kansas City 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 Canadian Pacific Kansas City Stock

Is Canadian Pacific Kansas City Stock a Buy?

CP.TO Technical Analysis vs Fundamental Analysis

Buy
55
Canadian Pacific Kansas City (CP.TO) is a Buy

Is Canadian Pacific Kansas City a Buy or a Sell?

Canadian Pacific Kansas City Stock Info

Market Cap:
103.2B
Price in USD:
110.56
Share Volume:
1.7M

Canadian Pacific Kansas City 52-Week Range

52-Week High:
123.37
52-Week Low:
101.76
Buy
55
Canadian Pacific Kansas City (CP.TO) is a Buy

Canadian Pacific Kansas City Share Price Forecast

Is Canadian Pacific Kansas City Stock a Buy?

Fundamental Analysis of Canadian Pacific Kansas City

Is Canadian Pacific Kansas City a good investment?

  • Analysts estimate an earnings increase this quarter of $0.21 per share, an increase next quarter of $0.02 per share, an increase this year of $0.68 per share, and an increase next year of $0.73 per share.

Technical Analysis of Canadian Pacific Kansas City

Should I short Canadian Pacific Kansas City stock?

* Canadian Pacific Kansas City stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.