CNA Financial (CNA) Stock Chart
NYSE: CNAFinanceProperty-Casualty InsurersUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
CNA technical summary
CNA is trading 6.4% below its 50-day simple moving average of $49.01 and 3.8% below its 200-day average of $47.65. 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 38.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $41.53 (Jun 1, 2026) to $55.71 (Jul 28, 2026); the current price sits 31% of the way from the low to the high. Annualized 30-day volatility is 16.8%. Based on the last session's high, low and close, the classic pivot point is $46.06, with first resistance at $46.29 and first support at $45.64.
These indicators describe past price behavior for CNA Financial; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 38.2
- 50-day SMA
- 49.01
- 200-day SMA
- 47.65
- Beta
- —
- 1Y high
- 55.71 (Jul 28)
- 1Y low
- 41.53 (Jun 1)
- Last close
- 45.86
CNA price performance
1 week
+2.18%
1 month
-4.00%
3 months
-10.85%
6 months
-3.27%
Year to date
-3.94%
1 year
-2.22%
3 years
+13.97%
5 years
+1.12%
CNA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 46.10Price below | 46.02Price below |
| 10-day | 45.89Price below | 46.20Price below |
| 20-day | 46.86Price below | 46.81Price below |
| 50-day | 49.01Price below | 47.99Price below |
| 100-day | 48.20Price below | 48.14Price below |
| 200-day | 47.65Price below | 47.61Price 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) | 46.93 |
| Resistance 2 (R2) | 46.71 |
| Resistance 1 (R1) | 46.29 |
| Pivot point | 46.06 |
| Support 1 (S1) | 45.64 |
| Support 2 (S2) | 45.42 |
| Support 3 (S3) | 44.99 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work