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Aviat Networks, Inc. Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and AVNW is experiencing slight selling pressure.

Aviat Networks, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 21.79 Sell
20-day SMA: 21.63 Buy
50-day SMA: 21.57 Buy
200-day SMA: 21.88 Sell
8-day EMA: 21.7 Sell
20-day EMA: 21.64 Buy
50-day EMA: 21.8 Sell
200-day EMA: 22.12 Sell

Aviat Networks, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 50.43 Buy
Chaikin Money Flow: -32221 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (21.04 - 21.94) Buy
Bollinger Bands (100): (21.22 - 23.64) Sell

Aviat Networks, Inc. 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 Aviat Networks, Inc. Stock

Is Aviat Networks, Inc. Stock a Buy?

AVNW Technical Analysis vs Fundamental Analysis

Sell
49
Aviat Networks, Inc. (AVNW) is a Sell

Is Aviat Networks, Inc. a Buy or a Sell?

Aviat Networks, Inc. Stock Info

Market Cap:
272.2M
Price in USD:
21.69
Share Volume:
87.2K

Aviat Networks, Inc. 52-Week Range

52-Week High:
26.83
52-Week Low:
15.80
Sell
49
Aviat Networks, Inc. (AVNW) is a Sell

Aviat Networks, Inc. Share Price Forecast

Is Aviat Networks, Inc. Stock a Buy?

Fundamental Analysis of Aviat Networks, Inc.

Is Aviat Networks, Inc. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.35 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.94 per share, and an increase next year of $0.63 per share.

Technical Analysis of Aviat Networks, Inc.

Should I short Aviat Networks, Inc. stock?

* Aviat Networks, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.