Nu (NU) Stock Chart
NYSE: NUFinancial ServicesBanks - RegionalUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
After hours: 15.58 0.00%
NU technical summary
NU is trading 8.8% above its 50-day simple moving average of $14.32 and 6.0% above its 200-day average of $14.69. 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 64.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $11.20 (Jun 3, 2026) to $18.98 (Jan 29, 2026); the current price sits 56% of the way from the low to the high. Annualized 30-day volatility is 60.6%. Based on the last session's high, low and close, the classic pivot point is $15.61, with first resistance at $15.80 and first support at $15.52.
These indicators describe past price behavior for Nu; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 64.7
- 50-day SMA
- 14.32
- 200-day SMA
- 14.69
- Beta
- —
- 1Y high
- 18.98 (Jan 29)
- 1Y low
- 11.20 (Jun 3)
- Last close
- 15.58
NU price performance
1 week
+24.05%
1 month
+2.45%
3 months
+17.46%
6 months
+8.24%
Year to date
-6.18%
1 year
+3.80%
3 years
+102.38%
NU price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 14.65Price above | 14.86Price above |
| 10-day | 13.77Price above | 14.32Price above |
| 20-day | 13.95Price above | 14.15Price above |
| 50-day | 14.32Price above | 14.14Price above |
| 100-day | 13.69Price above | 14.15Price above |
| 200-day | 14.69Price above | 14.80Price 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) | 16.09 |
| Resistance 2 (R2) | 15.90 |
| Resistance 1 (R1) | 15.80 |
| Pivot point | 15.61 |
| Support 1 (S1) | 15.52 |
| Support 2 (S2) | 15.33 |
| Support 3 (S3) | 15.23 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work