AirSculpt Technologies (AIRS) Stock Chart
NASDAQ: AIRSHealth CareMedical/Nursing ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
AIRS technical summary
AIRS is trading 35.7% below its 50-day simple moving average of $2.83 and 42.8% below its 200-day average of $3.18. 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 35.0, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.51 (Mar 2, 2026) to $12.00 (Oct 27, 2025); the current price sits 3% of the way from the low to the high. Annualized 30-day volatility is 87.6%. Based on the last session's high, low and close, the classic pivot point is $1.83, with first resistance at $1.89 and first support at $1.77.
These indicators describe past price behavior for AirSculpt Technologies; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 35.0
- 50-day SMA
- 2.83
- 200-day SMA
- 3.18
- Beta
- —
- 1Y high
- 12.00 (Oct 27)
- 1Y low
- 1.51 (Mar 2)
- Last close
- 1.82
AIRS price performance
1 week
+3.41%
1 month
-32.72%
3 months
-56.46%
6 months
-33.09%
Year to date
-8.08%
1 year
-77.33%
3 years
-70.90%
AIRS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.81Price above | 1.84Price below |
| 10-day | 1.85Price below | 1.90Price below |
| 20-day | 2.08Price below | 2.09Price below |
| 50-day | 2.83Price below | 2.69Price below |
| 100-day | 3.82Price below | 3.22Price below |
| 200-day | 3.18Price below | 3.59Price 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) | 2.01 |
| Resistance 2 (R2) | 1.95 |
| Resistance 1 (R1) | 1.89 |
| Pivot point | 1.83 |
| Support 1 (S1) | 1.77 |
| Support 2 (S2) | 1.71 |
| Support 3 (S3) | 1.65 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work