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Quanex Building Products Stock Price Chart

  • The current trend is relatively stagnant and NX is experiencing slight buying pressure.

Quanex Building Products Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 33.79 Buy
20-day SMA: 34.94 Sell
50-day SMA: 35.64 Sell
200-day SMA: 30.9 Buy
8-day EMA: 34.08 Buy
20-day EMA: 34.71 Buy
50-day EMA: 34.86 Sell
200-day EMA: 31.35 Buy

Quanex Building Products Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.63 Sell
Relative Strength Index (14 RSI): 48.93 Sell
Chaikin Money Flow: 80163 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (33.73 - 37.23) Sell
Bollinger Bands (100): (31.16 - 36.1) Buy

Quanex Building Products 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 Quanex Building Products Stock

Is Quanex Building Products Stock a Buy?

NX Technical Analysis vs Fundamental Analysis

Buy
58
Quanex Building Products (NX) is a Buy

Is Quanex Building Products a Buy or a Sell?

Quanex Building Products Stock Info

Market Cap:
1.15B
Price in USD:
34.78
Share Volume:
201.79K

Quanex Building Products 52-Week Range

52-Week High:
39.31
52-Week Low:
19.13
Buy
58
Quanex Building Products (NX) is a Buy

Quanex Building Products Share Price Forecast

Is Quanex Building Products Stock a Buy?

Fundamental Analysis of Quanex Building Products

Is Quanex Building Products a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.15 per share, a decrease next quarter of $0.09 per share, a decrease this year of $0.09 per share, and an increase next year of $0.32 per share.

Technical Analysis of Quanex Building Products

Should I short Quanex Building Products stock?

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