CNB Financial (CCNE) Stock Chart
NASDAQ: CCNEFinanceMajor BanksUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
CCNE technical summary
CCNE is trading 2.8% below its 50-day simple moving average of $34.30 and 7.4% above its 200-day average of $31.04. 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 41.8, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $22.80 (Oct 17, 2025) to $36.17 (Aug 3, 2026); the current price sits 79% of the way from the low to the high. Annualized 30-day volatility is 15.3%. Based on the last session's high, low and close, the classic pivot point is $33.37, with first resistance at $33.58 and first support at $33.13.
These indicators describe past price behavior for CNB Financial; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 41.8
- 50-day SMA
- 34.30
- 200-day SMA
- 31.04
- Beta
- —
- 1Y high
- 36.17 (Aug 3)
- 1Y low
- 22.80 (Oct 17)
- Last close
- 33.35
CCNE price performance
1 week
+0.21%
1 month
-3.19%
3 months
+1.15%
6 months
+8.35%
Year to date
+27.44%
1 year
+37.19%
3 years
+85.69%
5 years
+33.45%
CCNE price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 33.79Price below | 33.68Price below |
| 10-day | 33.76Price below | 33.76Price below |
| 20-day | 33.96Price below | 33.88Price below |
| 50-day | 34.30Price below | 33.91Price below |
| 100-day | 33.43Price below | 33.15Price above |
| 200-day | 31.04Price above | 30.94Price 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) | 34.03 |
| Resistance 2 (R2) | 33.82 |
| Resistance 1 (R1) | 33.58 |
| Pivot point | 33.37 |
| Support 1 (S1) | 33.13 |
| Support 2 (S2) | 32.92 |
| Support 3 (S3) | 32.68 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work