XPeng (XPEV) Stock Chart
NYSE: XPEVIndustrialsAuto ManufacturingUSD
Market open · Delayed 15 min · as of Oct 8, 9:52 AM ET
XPEV technical summary
XPEV is trading 14.5% below its 50-day simple moving average of $11.14 and 38.3% below its 200-day average of $15.45. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 34.0, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $9.18 (Oct 2, 2026) to $28.24 (Nov 11, 2025); the current price sits 2% of the way from the low to the high. Annualized 30-day volatility is 33.4%. Based on the last session's high, low and close, the classic pivot point is $9.54, with first resistance at $9.65 and first support at $9.46.
These indicators describe past price behavior for XPeng; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 34.0
- 50-day SMA
- 11.14
- 200-day SMA
- 15.45
- Beta
- —
- 1Y high
- 28.24 (Nov 11)
- 1Y low
- 9.18 (Oct 2)
- Last close
- 9.53
XPEV price performance
1 week
+0.95%
1 month
-12.53%
3 months
-27.41%
6 months
-44.48%
Year to date
-52.86%
1 year
-59.61%
3 years
-40.77%
5 years
-77.66%
XPEV price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 9.44Price above | 9.51Price above |
| 10-day | 9.73Price below | 9.71Price below |
| 20-day | 10.11Price below | 10.10Price below |
| 50-day | 11.14Price below | 11.09Price below |
| 100-day | 12.73Price below | 12.60Price below |
| 200-day | 15.45Price below | 15.32Price 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) | 9.84 |
| Resistance 2 (R2) | 9.73 |
| Resistance 1 (R1) | 9.65 |
| Pivot point | 9.54 |
| Support 1 (S1) | 9.46 |
| Support 2 (S2) | 9.35 |
| Support 3 (S3) | 9.27 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work