Nkarta (NKTX) Stock Chart
NASDAQ: NKTXHealth CareBiotechnology: Pharmaceutical PreparationsUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
NKTX technical summary
NKTX is trading 14.6% below its 50-day simple moving average of $2.60 and 12.7% below its 200-day average of $2.54. 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 30.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.70 (Nov 21, 2025) to $3.72 (Jul 9, 2026); the current price sits 26% of the way from the low to the high. Annualized 30-day volatility is 64.0%. Based on the last session's high, low and close, the classic pivot point is $2.21, with first resistance at $2.27 and first support at $2.17.
These indicators describe past price behavior for Nkarta; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 30.1
- 50-day SMA
- 2.60
- 200-day SMA
- 2.54
- Beta
- —
- 1Y high
- 3.72 (Jul 9)
- 1Y low
- 1.70 (Nov 21)
- Last close
- 2.22
NKTX price performance
1 week
-13.28%
1 month
-31.27%
3 months
-30.84%
6 months
-5.13%
Year to date
+20.00%
1 year
+6.22%
3 years
+44.16%
5 years
-87.90%
NKTX price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 2.38Price below | 2.35Price below |
| 10-day | 2.51Price below | 2.48Price below |
| 20-day | 2.69Price below | 2.59Price below |
| 50-day | 2.60Price below | 2.64Price below |
| 100-day | 2.69Price below | 2.63Price below |
| 200-day | 2.54Price below | 2.48Price 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) | 2.37 |
| Resistance 2 (R2) | 2.31 |
| Resistance 1 (R1) | 2.27 |
| Pivot point | 2.21 |
| Support 1 (S1) | 2.17 |
| Support 2 (S2) | 2.11 |
| Support 3 (S3) | 2.07 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work