PagerDuty (PD) Stock Chart
NYSE: PDTechnologySoftware - ApplicationUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
PD technical summary
PD is trading 16.0% above its 50-day simple moving average of $13.25 and 57.2% above its 200-day average of $9.77. 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 63.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $5.70 (Apr 10, 2026) to $16.77 (Oct 9, 2025); the current price sits 87% of the way from the low to the high. Annualized 30-day volatility is 43.9%. Based on the last session's high, low and close, the classic pivot point is $15.43, with first resistance at $15.54 and first support at $15.26.
These indicators describe past price behavior for PagerDuty; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 63.9
- 50-day SMA
- 13.25
- 200-day SMA
- 9.77
- Beta
- —
- 1Y high
- 16.77 (Oct 9)
- 1Y low
- 5.70 (Apr 10)
- Last close
- 15.37
PD price performance
1 week
+1.79%
1 month
+15.39%
3 months
+53.09%
6 months
+146.31%
Year to date
+17.24%
1 year
-1.73%
3 years
-25.35%
5 years
-62.80%
PD price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 15.46Price below | 15.36Price above |
| 10-day | 15.12Price above | 15.15Price above |
| 20-day | 14.75Price above | 14.71Price above |
| 50-day | 13.25Price above | 13.37Price above |
| 100-day | 11.17Price above | 11.99Price above |
| 200-day | 9.77Price above | 11.47Price 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) | 15.83 |
| Resistance 2 (R2) | 15.72 |
| Resistance 1 (R1) | 15.54 |
| Pivot point | 15.43 |
| Support 1 (S1) | 15.26 |
| Support 2 (S2) | 15.15 |
| Support 3 (S3) | 14.97 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work