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Molecular Partners AG 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 MOLN is experiencing slight buying pressure.

Molecular Partners AG Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.3 Buy
20-day SMA: 5.51 Sell
50-day SMA: 5.65 Sell
200-day SMA: 5.31 Buy
8-day EMA: 5.33 Sell
20-day EMA: 5.44 Sell
50-day EMA: 5.53 Sell
200-day EMA: 5.45 Sell

Molecular Partners AG Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.1 Sell
Relative Strength Index (14 RSI): 46.11 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.28 - 5.7) Sell
Bollinger Bands (100): (5.02 - 6.18) Sell

Molecular Partners AG 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 Molecular Partners AG Stock

Is Molecular Partners AG Stock a Buy?

MOLN Technical Analysis vs Fundamental Analysis

Sell
36
Molecular Partners AG (MOLN) is a Sell

Is Molecular Partners AG a Buy or a Sell?

Molecular Partners AG Stock Info

Market Cap:
195.6M
Price in USD:
5.31
Share Volume:
2.5K

Molecular Partners AG 52-Week Range

52-Week High:
12.70
52-Week Low:
3.32
Sell
36
Molecular Partners AG (MOLN) is a Sell

Molecular Partners AG Share Price Forecast

Is Molecular Partners AG Stock a Buy?

Fundamental Analysis of Molecular Partners AG

Is Molecular Partners AG a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.07 per share, and a decrease next year of $0.04 per share.

Technical Analysis of Molecular Partners AG

Should I short Molecular Partners AG stock?

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