CarParts.com (PRTS) Stock Chart
NASDAQ: PRTSConsumer CyclicalAuto PartsUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
PRTS technical summary
PRTS is trading 14.0% above its 50-day simple moving average of $7.53 and 24.9% above its 200-day average of $6.88. The 50-day average is above the 200-day average, a crossover (often called a "golden cross") that occurred within the last month. The 14-day Relative Strength Index (RSI) is 55.6, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $3.70 (Dec 16, 2025) to $10.98 (Sep 10, 2026); the current price sits 67% of the way from the low to the high. Annualized 30-day volatility is 78.4%. Based on the last session's high, low and close, the classic pivot point is $8.62, with first resistance at $8.74 and first support at $8.47.
These indicators describe past price behavior for CarParts.com; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 55.6
- 50-day SMA
- 7.53
- 200-day SMA
- 6.88
- Beta
- —
- 1Y high
- 10.98 (Sep 10)
- 1Y low
- 3.70 (Dec 16)
- Last close
- 8.59
PRTS price performance
1 week
+2.14%
1 month
-9.58%
3 months
+43.41%
6 months
+8.73%
Year to date
+71.80%
1 year
+22.71%
3 years
-77.51%
5 years
-94.15%
PRTS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 8.61Price below | 8.58Price above |
| 10-day | 8.45Price above | 8.53Price above |
| 20-day | 8.58Price above | 8.41Price above |
| 50-day | 7.53Price above | 7.80Price above |
| 100-day | 6.75Price above | 7.31Price above |
| 200-day | 6.88Price above | 6.89Price 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) | 9.01 |
| Resistance 2 (R2) | 8.89 |
| Resistance 1 (R1) | 8.74 |
| Pivot point | 8.62 |
| Support 1 (S1) | 8.47 |
| Support 2 (S2) | 8.35 |
| Support 3 (S3) | 8.20 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work