Navient (NAVI) Stock Chart
NASDAQ: NAVIFinanceInvestment Bankers/Brokers/ServiceUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
NAVI technical summary
NAVI is trading 0.4% above its 50-day simple moving average of $9.24 and 0.4% above its 200-day average of $9.23. 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 51.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $7.33 (Jun 3, 2026) to $13.48 (Dec 17, 2025); the current price sits 32% of the way from the low to the high. Annualized 30-day volatility is 32.7%. Based on the last session's high, low and close, the classic pivot point is $9.20, with first resistance at $9.39 and first support at $9.07.
These indicators describe past price behavior for Navient; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 51.1
- 50-day SMA
- 9.24
- 200-day SMA
- 9.23
- Beta
- —
- 1Y high
- 13.48 (Dec 17)
- 1Y low
- 7.33 (Jun 3)
- Last close
- 9.27
NAVI price performance
1 week
+1.76%
1 month
-2.11%
3 months
+15.44%
6 months
+11.69%
Year to date
-28.69%
1 year
-25.48%
3 years
-46.42%
5 years
-53.60%
NAVI price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 9.09Price above | 9.12Price above |
| 10-day | 9.07Price above | 9.14Price above |
| 20-day | 9.33Price below | 9.21Price above |
| 50-day | 9.24Price above | 9.15Price above |
| 100-day | 8.77Price above | 9.10Price above |
| 200-day | 9.23Price above | 9.71Price 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) | 9.71 |
| Resistance 2 (R2) | 9.52 |
| Resistance 1 (R1) | 9.39 |
| Pivot point | 9.20 |
| Support 1 (S1) | 9.07 |
| Support 2 (S2) | 8.88 |
| Support 3 (S3) | 8.75 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work