NAVI
40
7
PEP
36
3
GOOG
83
4
AVY
47
3
RCL
76
3
AZO
50
2
WMB
62
2
BEN
40
3
FRT
39
3
GM
61
4
CCL
60
2
PLD
40
2
EQIX
59
2
FITB
35
2
FLS
63
2
WFC
60
2
NTRS
44
5
STT
64
5
CHRW
54
3
EA
44
3
NAVI
40
7
PEP
36
3
GOOG
83
4
AVY
47
3
RCL
76
3
AZO
50
2
WMB
62
2
BEN
40
3
FRT
39
3
GM
61
4
CCL
60
2
PLD
40
2
EQIX
59
2
FITB
35
2
FLS
63
2
WFC
60
2
NTRS
44
5
STT
64
5
CHRW
54
3
EA
44
3
Financhill
Back

CNA Financial Stock Price Chart

FREE REPORT: 2025 Gold Price Outlook

Get Your Copy of "2025 Gold Forecast: A Perfect Storm for Demand" Here.
Sell
47

CNA
CNA Financial

Last Price:
$48.66
Seasonality Move:
5.56%

7 Day Trial

ALL ACCESS PASS

$ 7

2025 Gold Forecast: A Perfect Storm for Demand

Discover our Gold Price Outlook for 2025--FREE--here
  • The current trend is relatively stagnant and CNA is experiencing buying pressure, which is a positive indicator for future bullish movement.

CNA Financial Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 48.22 Buy
20-day SMA: 49.04 Sell
50-day SMA: 48.96 Sell
200-day SMA: 47.14 Buy
8-day EMA: 48.33 Buy
20-day EMA: 48.66 Sell
50-day EMA: 48.86 Sell
200-day EMA: 47.28 Buy

CNA Financial Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.28 Sell
Relative Strength Index (14 RSI): 48.87 Sell
Chaikin Money Flow: 54051 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (48.16 - 49.98) Sell
Bollinger Bands (100): (48.09 - 50.41) Sell

CNA Financial Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for CNA Financial Stock

Is CNA Financial Stock a Buy?

  • CNA Financial share price is 48.62 while CNA 8-day simple moving average is 48.22, which is a Buy signal.
  • The stock price of CNA is 48.62 while CNA Financial 20-day SMA is 49.04, which makes it a Sell.
  • CNA Financial 50-day simple moving average is 48.96 while CNA share price is 48.62, making it a Sell technically.
  • CNA stock price is 48.62 and CNA Financial 200-day simple moving average is 47.14, creating a Buy signal.

CNA Technical Analysis vs Fundamental Analysis

Sell
47
CNA Financial (CNA) is a Sell

Is CNA Financial a Buy or a Sell?

  • CNA Financial stock is rated a Sell
    The current CNA Financial [CNA] share price is $48.62. The Score for CNA is 47, which is 6% below its historic median score of 50, and infers higher risk than normal.

CNA Financial Stock Info

Market Cap:
13.2B
Price in USD:
48.62
Share Volume:
65.1K

CNA Financial 52-Week Range

52-Week High:
52.36
52-Week Low:
41.64
Sell
47
CNA Financial (CNA) is a Sell

CNA Financial Share Price Forecast

  • What is the CNA Financial stock price today?
    The CNA Financial stock price is 48.62 USD today.
  • Will CNA stock go up or go down?
    CNA Financial> share price is forecast to RISE/FALL based on technical indicators
  • Is CNA Financial overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, CNA Financial is overvalued.

Is CNA Financial Stock a Buy?

  • CNA Financial share price is 48.62 while CNA 8-day exponential moving average is 48.33, which is a Buy signal.
  • The stock price of CNA is 48.62 while CNA Financial 20-day EMA is 48.66, which makes it a Sell.
  • CNA Financial 50-day exponential moving average is 48.86 while CNA share price is 48.62, making it a Sell technically.
  • CNA stock price is 48.62 and CNA Financial 200-day simple moving average is 47.28, creating a Buy signal.

Fundamental Analysis of CNA Financial

Is CNA Financial a good investment?

  • Analysts estimate an earnings increase this quarter of $0.13 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.29 per share, and an increase next year of $0.38 per share.

Technical Analysis of CNA Financial

Should I short CNA Financial stock?

* CNA Financial stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.