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Trulieve Cannabis Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and TRUL.CX is experiencing selling pressure, which indicates risk of future bearish movement.

Trulieve Cannabis Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 7.64 Sell
20-day SMA: 8.28 Sell
50-day SMA: 12.53 Sell
200-day SMA: 13.84 Sell
8-day EMA: 7.59 Sell
20-day EMA: 8.69 Sell
50-day EMA: 11.02 Sell
200-day EMA: 12.61 Sell

Trulieve Cannabis Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.39 Sell
Relative Strength Index (14 RSI): 26.14 Sell
Chaikin Money Flow: -487272 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (7.65 - 9.37) Sell
Bollinger Bands (100): (10.09 - 16.47) Sell

Trulieve Cannabis 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 Trulieve Cannabis Stock

Is Trulieve Cannabis Stock a Buy?

TRUL.CX Technical Analysis vs Fundamental Analysis

Sell
1
Trulieve Cannabis (TRUL.CX) is a Sell

Is Trulieve Cannabis a Buy or a Sell?

Trulieve Cannabis Stock Info

Market Cap:
1.28B
Price in USD:
6.75
Share Volume:
501.4K

Trulieve Cannabis 52-Week Range

52-Week High:
20.00
52-Week Low:
6.31
Sell
1
Trulieve Cannabis (TRUL.CX) is a Sell

Trulieve Cannabis Share Price Forecast

Is Trulieve Cannabis Stock a Buy?

Fundamental Analysis of Trulieve Cannabis

Is Trulieve Cannabis a good investment?

  • Analysts estimate an earnings increase this quarter of $0.11 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.43 per share, and an increase next year of $0.67 per share.

Technical Analysis of Trulieve Cannabis

Should I short Trulieve Cannabis stock?

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