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Commercial Metals Co. 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 CMC is experiencing slight buying pressure.

Commercial Metals Co. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 76.91 Sell
20-day SMA: 74.76 Buy
50-day SMA: 69.63 Buy
200-day SMA: 57.28 Buy
8-day EMA: 30.56 Buy
20-day EMA: 14.04 Buy
50-day EMA: 5.95 Buy
200-day EMA: 1.53 Buy

Commercial Metals Co. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 10.93 Buy
Relative Strength Index (14 RSI): 59.93 Buy
Chaikin Money Flow: 60595 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (71.24 - 76.6) Buy
Bollinger Bands (100): (57.38 - 71.04) Buy

Commercial Metals Co. 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 Commercial Metals Co. Stock

Is Commercial Metals Co. Stock a Buy?

CMC Technical Analysis vs Fundamental Analysis

Buy
53
Commercial Metals Co. (CMC) is a Buy

Is Commercial Metals Co. a Buy or a Sell?

Commercial Metals Co. Stock Info

Market Cap:
8.5B
Price in USD:
76.87
Share Volume:
1.5M

Commercial Metals Co. 52-Week Range

52-Week High:
79.61
52-Week Low:
37.92
Buy
53
Commercial Metals Co. (CMC) is a Buy

Commercial Metals Co. Share Price Forecast

Is Commercial Metals Co. Stock a Buy?

Fundamental Analysis of Commercial Metals Co.

Is Commercial Metals Co. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.32 per share, a decrease next quarter of $0.24 per share, an increase this year of $4.12 per share, and a decrease next year of $0.08 per share.

Technical Analysis of Commercial Metals Co.

Should I short Commercial Metals Co. stock?

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