Financhill
Back

Trulieve Cannabis Corp. Stock Price Chart

  • The current trend is relatively stagnant and TCNNF is experiencing slight selling pressure.

Trulieve Cannabis Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.64 Buy
20-day SMA: 5.87 Buy
50-day SMA: 7.06 Sell
200-day SMA: 5.44 Buy
8-day EMA: 5.75 Buy
20-day EMA: 5.96 Buy
50-day EMA: 6.52 Sell
200-day EMA: 6.32 Sell

Trulieve Cannabis Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.37 Sell
Relative Strength Index (14 RSI): 47.58 Sell
Chaikin Money Flow: -19366 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.3 - 6.88) Sell
Bollinger Bands (100): (5.41 - 8.27) Sell

Trulieve Cannabis Corp. 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 Corp. Stock

Is Trulieve Cannabis Corp. Stock a Buy?

TCNNF Technical Analysis vs Fundamental Analysis

Sell
32
Trulieve Cannabis Corp. (TCNNF) is a Sell

Is Trulieve Cannabis Corp. a Buy or a Sell?

Trulieve Cannabis Corp. Stock Info

Market Cap:
1.1B
Price in USD:
5.97
Share Volume:
426K

Trulieve Cannabis Corp. 52-Week Range

52-Week High:
9.95
52-Week Low:
3.02
Sell
32
Trulieve Cannabis Corp. (TCNNF) is a Sell

Trulieve Cannabis Corp. Share Price Forecast

Is Trulieve Cannabis Corp. Stock a Buy?

Fundamental Analysis of Trulieve Cannabis Corp.

Is Trulieve Cannabis Corp. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.06 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.47 per share, and an increase next year of $0.29 per share.

Technical Analysis of Trulieve Cannabis Corp.

Should I short Trulieve Cannabis Corp. stock?

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