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Columbia Sportswear 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 COLM is experiencing selling pressure, which indicates risk of future bearish movement.

Columbia Sportswear Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 76.7 Sell
20-day SMA: 79.7 Sell
50-day SMA: 83.47 Sell
200-day SMA: 82.38 Sell
8-day EMA: 63.17 Buy
20-day EMA: 38.5 Buy
50-day EMA: 18.68 Buy
200-day EMA: 5.17 Buy

Columbia Sportswear Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 20.82 Buy
Relative Strength Index (14 RSI): 33.5 Sell
Chaikin Money Flow: -262260 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (76.55 - 87.25) Sell
Bollinger Bands (100): (80.04 - 88.6) Sell

Columbia Sportswear 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 Columbia Sportswear Stock

Is Columbia Sportswear Stock a Buy?

COLM Technical Analysis vs Fundamental Analysis

Sell
46
Columbia Sportswear (COLM) is a Sell

Is Columbia Sportswear a Buy or a Sell?

Columbia Sportswear Stock Info

Market Cap:
4.2B
Price in USD:
75.30
Share Volume:
512.4K

Columbia Sportswear 52-Week Range

52-Week High:
92.88
52-Week Low:
73.04
Sell
46
Columbia Sportswear (COLM) is a Sell

Columbia Sportswear Share Price Forecast

Is Columbia Sportswear Stock a Buy?

Fundamental Analysis of Columbia Sportswear

Is Columbia Sportswear a good investment?

  • Analysts estimate an earnings increase this quarter of $0.25 per share, a decrease next quarter of $0.81 per share, an increase this year of $0.18 per share, and an increase next year of $0.43 per share.

Technical Analysis of Columbia Sportswear

Should I short Columbia Sportswear stock?

* Columbia Sportswear stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.