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Aurora Cannabis, Inc. Stock Price Chart

  • The current trend is relatively stagnant and ACB is experiencing buying pressure, which is a positive indicator for future bullish movement.

Aurora Cannabis, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 3.55 Buy
20-day SMA: 3.85 Sell
50-day SMA: 4.27 Sell
200-day SMA: 4.79 Sell
8-day EMA: 3.61 Buy
20-day EMA: 3.79 Sell
50-day EMA: 4.13 Sell
200-day EMA: 4.65 Sell

Aurora Cannabis, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.21 Sell
Relative Strength Index (14 RSI): 45.93 Sell
Chaikin Money Flow: 560442 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (3.55 - 4.29) Sell
Bollinger Bands (100): (3.97 - 5.29) Sell

Aurora Cannabis, 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 Aurora Cannabis, Inc. Stock

Is Aurora Cannabis, Inc. Stock a Buy?

ACB Technical Analysis vs Fundamental Analysis

Sell
27
Aurora Cannabis, Inc. (ACB) is a Sell

Is Aurora Cannabis, Inc. a Buy or a Sell?

Aurora Cannabis, Inc. Stock Info

Market Cap:
212.7M
Price in USD:
3.75
Share Volume:
681.6K

Aurora Cannabis, Inc. 52-Week Range

52-Week High:
6.67
52-Week Low:
3.28
Sell
27
Aurora Cannabis, Inc. (ACB) is a Sell

Aurora Cannabis, Inc. Share Price Forecast

Is Aurora Cannabis, Inc. Stock a Buy?

Fundamental Analysis of Aurora Cannabis, Inc.

Is Aurora Cannabis, Inc. 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 $0.20 per share, and an increase next year of $0.28 per share.

Technical Analysis of Aurora Cannabis, Inc.

Should I short Aurora Cannabis, Inc. stock?

* Aurora Cannabis, 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.