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United Natural Foods 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 UNFI is experiencing slight selling pressure.

United Natural Foods Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 9.82 Sell
20-day SMA: 10.66 Sell
50-day SMA: 12.93 Sell
200-day SMA: 16 Sell
8-day EMA: 9.76 Sell
20-day EMA: 10.59 Sell
50-day EMA: 12.2 Sell
200-day EMA: 17.01 Sell

United Natural Foods Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.94 Sell
Relative Strength Index (14 RSI): 21.24 Sell
Chaikin Money Flow: -427584 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (9.98 - 11.82) Sell
Bollinger Bands (100): (12 - 16.44) Sell

United Natural Foods 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 United Natural Foods Stock

Is United Natural Foods Stock a Buy?

UNFI Technical Analysis vs Fundamental Analysis

Sell
23
United Natural Foods (UNFI) is a Sell

Is United Natural Foods a Buy or a Sell?

United Natural Foods Stock Info

Market Cap:
555.73M
Price in USD:
9.35
Share Volume:
1.02M

United Natural Foods 52-Week Range

52-Week High:
28.37
52-Week Low:
9.18
Sell
23
United Natural Foods (UNFI) is a Sell

United Natural Foods Share Price Forecast

Is United Natural Foods Stock a Buy?

Fundamental Analysis of United Natural Foods

Is United Natural Foods a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.45 per share, an increase next quarter of $0.11 per share, a decrease this year of $2.08 per share, and an increase next year of $0.48 per share.

Technical Analysis of United Natural Foods

Should I short United Natural Foods stock?

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