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Bachem Holding AG Stock Price Chart

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

Bachem Holding AG Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.56 Sell
20-day SMA: 6.5 Buy
50-day SMA: 6.43 Buy
200-day SMA: 7.87 Sell
8-day EMA: 6.55 Buy
20-day EMA: 6.51 Buy
50-day EMA: 6.54 Buy
200-day EMA: 7.4 Sell

Bachem Holding AG Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 54.55 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.31 - 6.61) Buy
Bollinger Bands (100): (6.13 - 7.45) Sell

Bachem Holding 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 Bachem Holding AG Stock

Is Bachem Holding AG Stock a Buy?

BCHMY Technical Analysis vs Fundamental Analysis

Sell
35
Bachem Holding AG (BCHMY) is a Sell

Is Bachem Holding AG a Buy or a Sell?

Bachem Holding AG Stock Info

Market Cap:
4.9B
Price in USD:
6.56
Share Volume:
0

Bachem Holding AG 52-Week Range

52-Week High:
10.18
52-Week Low:
6.01
Sell
35
Bachem Holding AG (BCHMY) is a Sell

Bachem Holding AG Share Price Forecast

Is Bachem Holding AG Stock a Buy?

  • Bachem Holding AG share price is 6.56 while BCHMY 8-day exponential moving average is 6.55, which is a Buy signal.
  • The stock price of BCHMY is 6.56 while Bachem Holding AG 20-day EMA is 6.51, which makes it a Buy.
  • Bachem Holding AG 50-day exponential moving average is 6.54 while BCHMY share price is 6.56, making it a Buy technically.
  • BCHMY stock price is 6.56 and Bachem Holding AG 200-day simple moving average is 7.40, creating a Sell signal.

Technical Analysis of Bachem Holding AG

Should I short Bachem Holding AG stock?

* Bachem Holding 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.