Kearny Financial (KRNY) Stock Chart
NASDAQ: KRNYFinanceSavings InstitutionsUSD
Market open · Delayed 15 min · as of Oct 8, 12:13 PM ET
KRNY technical summary
KRNY is trading 5.4% below its 50-day simple moving average of $9.62 and 7.0% above its 200-day average of $8.51. 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 34.6, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $6.23 (Nov 17, 2025) to $10.24 (Sep 3, 2026); the current price sits 72% of the way from the low to the high. Annualized 30-day volatility is 19.2%. Based on the last session's high, low and close, the classic pivot point is $9.10, with first resistance at $9.17 and first support at $9.04.
These indicators describe past price behavior for Kearny Financial; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 34.6
- 50-day SMA
- 9.62
- 200-day SMA
- 8.51
- Beta
- —
- 1Y high
- 10.24 (Sep 3)
- 1Y low
- 6.23 (Nov 17)
- Last close
- 9.10
KRNY price performance
1 week
-0.55%
1 month
-8.90%
3 months
0.00%
6 months
+13.31%
Year to date
+22.94%
1 year
+36.99%
3 years
+36.99%
5 years
-30.35%
KRNY price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 9.22Price below | 9.20Price below |
| 10-day | 9.22Price below | 9.26Price below |
| 20-day | 9.44Price below | 9.39Price below |
| 50-day | 9.62Price below | 9.45Price below |
| 100-day | 9.23Price below | 9.18Price below |
| 200-day | 8.51Price above | 8.52Price 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) | 9.29 |
| Resistance 2 (R2) | 9.22 |
| Resistance 1 (R1) | 9.17 |
| Pivot point | 9.10 |
| Support 1 (S1) | 9.04 |
| Support 2 (S2) | 8.97 |
| Support 3 (S3) | 8.92 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work