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Sangoma Technologies 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 SANG is experiencing selling pressure, which indicates risk of future bearish movement.

Sangoma Technologies Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.38 Buy
20-day SMA: 6.27 Buy
50-day SMA: 6.09 Buy
200-day SMA: 5.27 Buy
8-day EMA: 6.42 Buy
20-day EMA: 6.3 Buy
50-day EMA: 6.09 Buy
200-day EMA: 5.32 Buy

Sangoma Technologies Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.11 Buy
Relative Strength Index (14 RSI): 57.99 Buy
Chaikin Money Flow: -478 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.13 - 6.47) Buy
Bollinger Bands (100): (5.25 - 6.19) Buy

Sangoma Technologies 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 Sangoma Technologies Stock

Is Sangoma Technologies Stock a Buy?

SANG Technical Analysis vs Fundamental Analysis

Sell
46
Sangoma Technologies (SANG) is a Sell

Is Sangoma Technologies a Buy or a Sell?

Sangoma Technologies Stock Info

Market Cap:
218.33M
Price in USD:
6.51
Share Volume:
478

Sangoma Technologies 52-Week Range

52-Week High:
6.75
52-Week Low:
2.50
Sell
46
Sangoma Technologies (SANG) is a Sell

Sangoma Technologies Share Price Forecast

Is Sangoma Technologies Stock a Buy?

Fundamental Analysis of Sangoma Technologies

Is Sangoma Technologies a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.02 per share, and an increase next year of $0.10 per share.

Technical Analysis of Sangoma Technologies

Should I short Sangoma Technologies stock?

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