Financhill
Back

Supernus Pharmaceuticals Stock Price Chart

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

Supernus Pharmaceuticals Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.72 Buy
20-day SMA: 33.48 Sell
50-day SMA: 31.92 Buy
200-day SMA: 29.77 Buy
8-day EMA: 32.09 Buy
20-day EMA: 32.66 Sell
50-day EMA: 31.9 Buy
200-day EMA: 30.35 Buy

Supernus Pharmaceuticals Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.21 Sell
Relative Strength Index (14 RSI): 45.86 Sell
Chaikin Money Flow: 72355 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (32.23 - 35.11) Sell
Bollinger Bands (100): (27.01 - 32.71) Buy

Supernus Pharmaceuticals 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 Supernus Pharmaceuticals Stock

Is Supernus Pharmaceuticals Stock a Buy?

SUPN Technical Analysis vs Fundamental Analysis

Sell
29
Supernus Pharmaceuticals (SUPN) is a Sell

Is Supernus Pharmaceuticals a Buy or a Sell?

Supernus Pharmaceuticals Stock Info

Market Cap:
1.77B
Price in USD:
32.12
Share Volume:
173.65K

Supernus Pharmaceuticals 52-Week Range

52-Week High:
35.44
52-Week Low:
21.99
Sell
29
Supernus Pharmaceuticals (SUPN) is a Sell

Supernus Pharmaceuticals Share Price Forecast

Is Supernus Pharmaceuticals Stock a Buy?

Fundamental Analysis of Supernus Pharmaceuticals

Is Supernus Pharmaceuticals a good investment?

  • Analysts estimate an earnings increase this quarter of $0.36 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.02 per share, and a decrease next year of $0.18 per share.

Technical Analysis of Supernus Pharmaceuticals

Should I short Supernus Pharmaceuticals stock?

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