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Oxford Industries Stock Price Chart
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Sell
36
OXM
Oxford Industries
Last Price:
$80.99
Seasonality Move:
7.51%
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The current trend is moderately bearish and OXM is experiencing slight buying pressure.
Oxford Industries Price Chart Indicators
Moving Averages | Level | Buy or Sell |
---|---|---|
8-day SMA: | 82.34 | Sell |
20-day SMA: | 81.75 | Sell |
50-day SMA: | 78.46 | Buy |
200-day SMA: | 93.62 | Sell |
8-day EMA: | 82.11 | Sell |
20-day EMA: | 81.28 | Sell |
50-day EMA: | 80.75 | Buy |
200-day EMA: | 88.97 | Sell |
Oxford Industries Technical Analysis Indicators
Chart Indicators | Level | Buy or Sell |
---|---|---|
MACD (12, 26): | 1.02 | Buy |
Relative Strength Index (14 RSI): | 50.41 | Buy |
Chaikin Money Flow: | 21973 | - |
Bollinger Bands | Level | Buy or Sell |
---|---|---|
Bollinger Bands (25): | (77.43 - 83.67) | Buy |
Bollinger Bands (100): | (76.3 - 88.78) | Sell |
Oxford Industries Technical Analysis
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Technical Analysis: Buy or Sell? | ||||||||||
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50-day SMA: | ||||||||||
200-day SMA: | ||||||||||
8-day EMA: | ||||||||||
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200-day EMA: | ||||||||||
MACD (12, 26): | ||||||||||
Relative Strength Index (14 RSI): | ||||||||||
Bollinger Bands (25): | ||||||||||
Bollinger Bands (100): |
Technical Analysis for Oxford Industries Stock
Is Oxford Industries Stock a Buy?
-
Oxford Industries share price is 81.03 while OXM 8-day simple moving average is 82.34, which is a Sell signal.
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The stock price of OXM is 81.03 while Oxford Industries 20-day SMA is 81.75, which makes it a Sell.
-
Oxford Industries 50-day simple moving average is 78.46 while OXM share price is 81.03, making it a Buy technically.
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OXM stock price is 81.03 and Oxford Industries 200-day simple moving average is 93.62, creating a Sell signal.
OXM Technical Analysis vs Fundamental Analysis
Sell
36
Oxford Industries (OXM)
is a Sell
Is Oxford Industries a Buy or a Sell?
-
Oxford Industries stock is rated a SellThe current Oxford Industries [OXM] share price is $81.03. The Score for OXM is 36, which is 28% below its historic median score of 50, and infers higher risk than normal.
Oxford Industries Stock Info
Market Cap:
1.3B
Price in USD:
81.03
Share Volume:
683K
Oxford Industries 52-Week Range
52-Week High:
113.88
52-Week Low:
72.24
Sell
36
Oxford Industries (OXM)
is a Sell
Oxford Industries Share Price Forecast
-
What is the Oxford Industries stock price today?The Oxford Industries stock price is 81.03 USD today.
-
Will OXM stock go up or go down?Oxford Industries> share price is forecast to RISE/FALL based on technical indicators
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Is Oxford Industries overvalued?According to simple moving average, exponential moving average, oscillators, and other technical indicators, Oxford Industries is overvalued.
Is Oxford Industries Stock a Buy?
-
Oxford Industries share price is 81.03 while OXM 8-day exponential moving average is 82.11, which is a Sell signal.
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The stock price of OXM is 81.03 while Oxford Industries 20-day EMA is 81.28, which makes it a Sell.
-
Oxford Industries 50-day exponential moving average is 80.75 while OXM share price is 81.03, making it a Buy technically.
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OXM stock price is 81.03 and Oxford Industries 200-day simple moving average is 88.97, creating a Sell signal.
Fundamental Analysis of Oxford Industries
Is Oxford Industries a good investment?
-
Analysts estimate an earnings decrease this quarter of $0.12 per share, an increase next quarter of $1.56 per share, a decrease this year of $0.54 per share, and a decrease next year of $3.61 per share.
Technical Analysis of Oxford Industries
Should I short Oxford Industries stock?
-
OXM Moving Average Covergence Divergence (MACD) indicator is 1.02, suggesting Oxford Industries is a Buy
-
Oxford Industries Relative Strength Index (RSI) is 50.41, which suggest Oxford Industries is overbought
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The Bollinger Bands (25) for Oxford Industries is (77.43 - 83.67), which suggest Oxford Industries is a Sell
-
The Bollinger Bands (100) for Oxford Industries is (76.3 - 88.78), which suggest Oxford Industries is a Sell
* Oxford Industries stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.