Financhill
Back

Organigram Global Stock Price Chart

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

Organigram Global Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.83 Sell
20-day SMA: 1.86 Sell
50-day SMA: 1.74 Buy
200-day SMA: 2 Sell
8-day EMA: 1.83 Sell
20-day EMA: 1.84 Sell
50-day EMA: 1.78 Buy
200-day EMA: 1.94 Sell

Organigram Global Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.02 Buy
Relative Strength Index (14 RSI): 49.07 Sell
Chaikin Money Flow: -20427 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.8 - 1.92) Sell
Bollinger Bands (100): (1.46 - 1.94) Buy

Organigram Global 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 Organigram Global Stock

Is Organigram Global Stock a Buy?

OGI.TO Technical Analysis vs Fundamental Analysis

Sell
37
Organigram Global (OGI.TO) is a Sell

Is Organigram Global a Buy or a Sell?

Organigram Global Stock Info

Market Cap:
242.3M
Price in USD:
1.81
Share Volume:
20.4K

Organigram Global 52-Week Range

52-Week High:
2.84
52-Week Low:
1.22
Sell
37
Organigram Global (OGI.TO) is a Sell

Organigram Global Share Price Forecast

Is Organigram Global Stock a Buy?

Fundamental Analysis of Organigram Global

Is Organigram Global a good investment?

  • Analysts estimate an earnings increase this quarter of $0.01 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.57 per share, and a decrease next year of $0.08 per share.

Technical Analysis of Organigram Global

Should I short Organigram Global stock?

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