PACS Group (PACS) Stock Chart
NYSE: PACSHealth CareHospital/Nursing ManagementUSD
Market open · Delayed 15 min · as of Oct 8, 10:33 AM ET
PACS technical summary
PACS is trading 1.9% below its 50-day simple moving average of $43.78 and 9.8% above its 200-day average of $39.09. 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 52.8, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $10.31 (Nov 14, 2025) to $49.49 (Aug 6, 2026); the current price sits 83% of the way from the low to the high. Annualized 30-day volatility is 32.2%. Based on the last session's high, low and close, the classic pivot point is $43.10, with first resistance at $43.77 and first support at $42.52.
These indicators describe past price behavior for PACS Group; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 52.8
- 50-day SMA
- 43.78
- 200-day SMA
- 39.09
- Beta
- —
- 1Y high
- 49.49 (Aug 6)
- 1Y low
- 10.31 (Nov 14)
- Last close
- 42.93
PACS price performance
1 week
+3.95%
1 month
-1.10%
3 months
-1.89%
6 months
+22.07%
Year to date
+12.50%
1 year
+224.74%
PACS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 42.52Price above | 42.69Price above |
| 10-day | 42.22Price above | 42.46Price above |
| 20-day | 42.50Price above | 42.57Price above |
| 50-day | 43.78Price below | 42.84Price above |
| 100-day | 42.02Price above | 41.43Price above |
| 200-day | 39.09Price above | 37.28Price 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) | 45.01 |
| Resistance 2 (R2) | 44.34 |
| Resistance 1 (R1) | 43.77 |
| Pivot point | 43.10 |
| Support 1 (S1) | 42.52 |
| Support 2 (S2) | 41.85 |
| Support 3 (S3) | 41.28 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work