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Xeris Biopharma Holdings Stock Price Chart

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

Xeris Biopharma Holdings Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.78 Buy
20-day SMA: 1.83 Buy
50-day SMA: 2.18 Sell
200-day SMA: 2.18 Sell
8-day EMA: 1.81 Buy
20-day EMA: 1.86 Buy
50-day EMA: 2.07 Sell
200-day EMA: 2.18 Sell

Xeris Biopharma Holdings Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.1 Sell
Relative Strength Index (14 RSI): 47.39 Sell
Chaikin Money Flow: 124991 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.74 - 2.02) Buy
Bollinger Bands (100): (1.92 - 2.78) Sell

Xeris Biopharma Holdings 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 Xeris Biopharma Holdings Stock

Is Xeris Biopharma Holdings Stock a Buy?

XERS Technical Analysis vs Fundamental Analysis

Buy
69
Xeris Biopharma Holdings (XERS) is a Buy

Is Xeris Biopharma Holdings a Buy or a Sell?

Xeris Biopharma Holdings Stock Info

Market Cap:
280.2M
Price in USD:
1.89
Share Volume:
1.12M

Xeris Biopharma Holdings 52-Week Range

52-Week High:
3.26
52-Week Low:
1.46
Buy
69
Xeris Biopharma Holdings (XERS) is a Buy

Xeris Biopharma Holdings Share Price Forecast

Is Xeris Biopharma Holdings Stock a Buy?

Fundamental Analysis of Xeris Biopharma Holdings

Is Xeris Biopharma Holdings a good investment?

  • Analysts estimate an earnings increase this quarter of $0.03 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.05 per share, and an increase next year of $0.20 per share.

Technical Analysis of Xeris Biopharma Holdings

Should I short Xeris Biopharma Holdings stock?

* Xeris Biopharma Holdings stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.