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Dassault Systèmes SE 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 DASTY is experiencing slight buying pressure.

Dassault Systèmes SE Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.05 Sell
20-day SMA: 28.11 Sell
50-day SMA: 27.74 Sell
200-day SMA: 32.51 Sell
8-day EMA: 14.55 Buy
20-day EMA: 7.13 Buy
50-day EMA: 3.11 Buy
200-day EMA: 0.81 Buy

Dassault Systèmes SE Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 5.16 Buy
Relative Strength Index (14 RSI): 42.99 Sell
Chaikin Money Flow: 9333 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (27.59 - 28.49) Sell
Bollinger Bands (100): (26.89 - 32.21) Sell

Dassault Systèmes SE 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 Dassault Systèmes SE Stock

Is Dassault Systèmes SE Stock a Buy?

DASTY Technical Analysis vs Fundamental Analysis

Sell
48
Dassault Systèmes SE (DASTY) is a Sell

Is Dassault Systèmes SE a Buy or a Sell?

Dassault Systèmes SE Stock Info

Market Cap:
36.1B
Price in USD:
27.39
Share Volume:
164K

Dassault Systèmes SE 52-Week Range

52-Week High:
44.18
52-Week Low:
26.33
Sell
48
Dassault Systèmes SE (DASTY) is a Sell

Dassault Systèmes SE Share Price Forecast

Is Dassault Systèmes SE Stock a Buy?

Fundamental Analysis of Dassault Systèmes SE

Is Dassault Systèmes SE a good investment?

  • Analysts estimate an earnings increase this quarter of $0.01 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 $0.16 per share.

Technical Analysis of Dassault Systèmes SE

Should I short Dassault Systèmes SE stock?

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