Airgain (AIRG) Stock Chart
NASDAQ: AIRGTechnologyCommunication EquipmentUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
AIRG technical summary
AIRG is trading 23.7% below its 50-day simple moving average of $5.21 and 27.5% below its 200-day average of $5.49. The 50-day average is below the 200-day average, a crossover (often called a "death cross") that occurred within the last month. The 14-day Relative Strength Index (RSI) is 26.9, below 30, the level many traders consider oversold.
Over the past year, the stock ranged from $3.00 (Nov 14, 2025) to $7.66 (Jun 2, 2026); the current price sits 21% of the way from the low to the high. Annualized 30-day volatility is 67.1%. Based on the last session's high, low and close, the classic pivot point is $4.05, with first resistance at $4.16 and first support at $3.87.
These indicators describe past price behavior for Airgain; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 26.9
- 50-day SMA
- 5.21
- 200-day SMA
- 5.49
- Beta
- —
- 1Y high
- 7.66 (Jun 2)
- 1Y low
- 3.00 (Nov 14)
- Last close
- 3.98
AIRG price performance
1 week
-6.35%
1 month
-27.24%
3 months
-32.31%
6 months
-34.86%
Year to date
-1.97%
1 year
-5.46%
3 years
+19.16%
5 years
-63.82%
AIRG price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 4.22Price below | 4.22Price below |
| 10-day | 4.58Price below | 4.48Price below |
| 20-day | 4.94Price below | 4.77Price below |
| 50-day | 5.21Price below | 5.18Price below |
| 100-day | 5.84Price below | 5.44Price below |
| 200-day | 5.49Price below | 5.18Price below |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 4.45 |
| Resistance 2 (R2) | 4.34 |
| Resistance 1 (R1) | 4.16 |
| Pivot point | 4.05 |
| Support 1 (S1) | 3.87 |
| Support 2 (S2) | 3.76 |
| Support 3 (S3) | 3.58 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work