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Canadian Pacific Kansas City Stock Price Chart

  • The current trend is moderately bullish and CP is experiencing slight buying pressure.

Canadian Pacific Kansas City Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 86.49 Sell
20-day SMA: 84.52 Buy
50-day SMA: 82.16 Buy
200-day SMA: 81.85 Buy
8-day EMA: 86.02 Sell
20-day EMA: 84.57 Buy
50-day EMA: 82.7 Buy
200-day EMA: 81.13 Buy

Canadian Pacific Kansas City Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.54 Buy
Relative Strength Index (14 RSI): 58.92 Buy
Chaikin Money Flow: 817278 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (81.03 - 86.05) Buy
Bollinger Bands (100): (77.96 - 83.58) 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 Technical Analysis vs Fundamental Analysis

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

Is Canadian Pacific Kansas City a Buy or a Sell?

Canadian Pacific Kansas City Stock Info

Market Cap:
80.12B
Price in USD:
85.86
Share Volume:
3.52M

Canadian Pacific Kansas City 52-Week Range

52-Week High:
91.58
52-Week Low:
68.92
Buy
55
Canadian Pacific Kansas City (CP) 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 $0.09 per share, an increase next quarter of $0.18 per share, an increase this year of $0.32 per share, and an increase next year of $0.60 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.