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AdvisorShares Pure US Cannabis ETF 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 MSOS is experiencing buying pressure, which is a positive indicator for future bullish movement.

AdvisorShares Pure US Cannabis ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 4.64 Buy
20-day SMA: 5.18 Sell
50-day SMA: 6.32 Sell
200-day SMA: 7.69 Sell
8-day EMA: 4.69 Sell
20-day EMA: 5.18 Sell
50-day EMA: 5.97 Sell
200-day EMA: 7.11 Sell

AdvisorShares Pure US Cannabis ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.56 Sell
Relative Strength Index (14 RSI): 38.47 Sell
Chaikin Money Flow: 4447597 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (4.44 - 6.72) Sell
Bollinger Bands (100): (5.77 - 7.65) Sell

AdvisorShares Pure US Cannabis ETF 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 AdvisorShares Pure US Cannabis ETF Stock

Is AdvisorShares Pure US Cannabis ETF Stock a Buy?

MSOS Technical Analysis vs Fundamental Analysis

Sell
20
AdvisorShares Pure US Cannabis ETF (MSOS) is a Sell

Is AdvisorShares Pure US Cannabis ETF a Buy or a Sell?

AdvisorShares Pure US Cannabis ETF Stock Info

Market Cap:
0
Price in USD:
4.67
Share Volume:
5.37M

AdvisorShares Pure US Cannabis ETF 52-Week Range

52-Week High:
11.37
52-Week Low:
4.00
Sell
20
AdvisorShares Pure US Cannabis ETF (MSOS) is a Sell

AdvisorShares Pure US Cannabis ETF Share Price Forecast

Is AdvisorShares Pure US Cannabis ETF Stock a Buy?

Technical Analysis of AdvisorShares Pure US Cannabis ETF

Should I short AdvisorShares Pure US Cannabis ETF stock?

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