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Applied Materials, Inc. Stock Price Chart

  • The current trend is moderately bullish and AMAT is experiencing slight selling pressure.

Applied Materials, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 260.35 Sell
20-day SMA: 257.19 Sell
50-day SMA: 239.79 Buy
200-day SMA: 187.66 Buy
8-day EMA: 257.81 Sell
20-day EMA: 254.84 Buy
50-day EMA: 239.76 Buy
200-day EMA: 203.13 Buy

Applied Materials, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 5.98 Buy
Relative Strength Index (14 RSI): 53.84 Buy
Chaikin Money Flow: -6919829 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (234.2602 - 268.0602) Buy
Bollinger Bands (100): (176.7466 - 245.4266) Buy

Applied Materials, Inc. 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 Applied Materials, Inc. Stock

Is Applied Materials, Inc. Stock a Buy?

AMAT Technical Analysis vs Fundamental Analysis

Buy
52
Applied Materials, Inc. (AMAT) is a Buy

Is Applied Materials, Inc. a Buy or a Sell?

Applied Materials, Inc. Stock Info

Market Cap:
203.3B
Price in USD:
256.4100
Share Volume:
25.7M

Applied Materials, Inc. 52-Week Range

52-Week High:
276.1000
52-Week Low:
123.7365
Buy
52
Applied Materials, Inc. (AMAT) is a Buy

Applied Materials, Inc. Share Price Forecast

Is Applied Materials, Inc. Stock a Buy?

Fundamental Analysis of Applied Materials, Inc.

Is Applied Materials, Inc. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.02 per share, an increase next quarter of $0.53 per share, an increase this year of $0.81 per share, and an increase next year of $0.17 per share.

Technical Analysis of Applied Materials, Inc.

Should I short Applied Materials, Inc. stock?

* Applied Materials, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.