Anghami (ANGH) Stock Chart
NASDAQ: ANGHConsumer DiscretionaryTelecommunications EquipmentUSD
Market open · Delayed 15 min · as of Oct 8, 9:38 AM ET
ANGH technical summary
ANGH is trading 1.4% below its 50-day simple moving average of $3.55 and 1.5% above its 200-day average of $3.45. The 50-day average is above the 200-day average, a configuration technical analysts associate with a longer-term uptrend. The 14-day Relative Strength Index (RSI) is 46.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $2.25 (Dec 22, 2025) to $7.89 (Jun 12, 2026); the current price sits 22% of the way from the low to the high. Annualized 30-day volatility is 66.4%. Based on the last session's high, low and close, the classic pivot point is $3.55, with first resistance at $3.65 and first support at $3.42.
These indicators describe past price behavior for Anghami; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 46.2
- 50-day SMA
- 3.55
- 200-day SMA
- 3.45
- Beta
- —
- 1Y high
- 7.89 (Jun 12)
- 1Y low
- 2.25 (Dec 22)
- Last close
- 3.50
ANGH price performance
1 week
-6.35%
1 month
+1.82%
3 months
+3.62%
6 months
-9.20%
Year to date
-6.55%
1 year
+17.43%
3 years
-57.19%
5 years
-96.51%
ANGH price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 3.62Price below | 3.62Price below |
| 10-day | 3.70Price below | 3.66Price below |
| 20-day | 3.67Price below | 3.65Price below |
| 50-day | 3.55Price below | 3.62Price below |
| 100-day | 3.70Price below | 3.59Price below |
| 200-day | 3.45Price above | 3.38Price above |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 3.89 |
| Resistance 2 (R2) | 3.79 |
| Resistance 1 (R1) | 3.65 |
| Pivot point | 3.55 |
| Support 1 (S1) | 3.42 |
| Support 2 (S2) | 3.32 |
| Support 3 (S3) | 3.19 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work