MetaCap

Sangoma Technologies (SANG) Stock Chart

NASDAQ: SANGTechnologyComputer Software: Programming Data ProcessingUSD

4.85-0.005 (-0.10%)

At close: Oct 7, 4:00 PM ET · Delayed 15 min

SANG technical summary

SANG is trading 21.5% above its 50-day simple moving average of $3.99 and 15.4% above its 200-day average of $4.20. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 76.0, above 70, the level many traders consider overbought.

Over the past year, the stock ranged from $3.40 (Jun 11, 2026) to $5.42 (Dec 11, 2025); the current price sits 72% of the way from the low to the high. Annualized 30-day volatility is 97.5%. Based on the last session's high, low and close, the classic pivot point is $4.84, with first resistance at $4.85 and first support at $4.83.

These indicators describe past price behavior for Sangoma Technologies; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
5.42 (Dec 11)
1Y low
3.40 (Jun 11)
Last close
4.85

SANG price performance

1 week

-1.32%

1 month

+29.89%

3 months

+22.66%

6 months

+27.50%

Year to date

-4.44%

1 year

-4.44%

3 years

+57.82%

5 years

-75.97%

SANG price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day4.86Price below4.78Price above
10-day4.48Price above4.55Price above
20-day4.02Price above4.26Price above
50-day3.99Price above4.05Price above
100-day3.90Price above4.04Price above
200-day4.20Price above4.29Price above

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)4.88
Resistance 2 (R2)4.86
Resistance 1 (R1)4.85
Pivot point4.84
Support 1 (S1)4.83
Support 2 (S2)4.81
Support 3 (S3)4.80

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

Learn technical analysis