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STMicroelectronics NV Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and STM is experiencing slight buying pressure.

STMicroelectronics NV Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.28 Buy
20-day SMA: 27.86 Buy
50-day SMA: 25.84 Buy
200-day SMA: 26.52 Buy
8-day EMA: 11.38 Buy
20-day EMA: 5.23 Buy
50-day EMA: 2.22 Buy
200-day EMA: 0.57 Buy

STMicroelectronics NV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 4.07 Buy
Relative Strength Index (14 RSI): 58.79 Buy
Chaikin Money Flow: 779892 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.25 - 28.71) Buy
Bollinger Bands (100): (24.24 - 28.58) Buy

STMicroelectronics NV 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 STMicroelectronics NV Stock

Is STMicroelectronics NV Stock a Buy?

STM Technical Analysis vs Fundamental Analysis

Buy
56
STMicroelectronics NV (STM) is a Buy

Is STMicroelectronics NV a Buy or a Sell?

STMicroelectronics NV Stock Info

Market Cap:
25.4B
Price in USD:
28.60
Share Volume:
4.3M

STMicroelectronics NV 52-Week Range

52-Week High:
33.47
52-Week Low:
17.25
Buy
56
STMicroelectronics NV (STM) is a Buy

STMicroelectronics NV Share Price Forecast

Is STMicroelectronics NV Stock a Buy?

Fundamental Analysis of STMicroelectronics NV

Is STMicroelectronics NV a good investment?

  • Analysts estimate an earnings increase this quarter of $0.14 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.42 per share, and an increase next year of $0.74 per share.

Technical Analysis of STMicroelectronics NV

Should I short STMicroelectronics NV stock?

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