AI Signal & Stock Analysis · Very Strong ↑
As of Nov 13 2026, 8:10 AM, AkshayaAI's signal for CNA is Very Strong ↑; the stock is at $48.47 (+0.37% today); neutral (RSI 56); technical trend is Raise; AI 5-day forecast is Up ↑. What changed: the signal moved from Strong to Very Strong on 12 Nov 2026.
Data as of Nov 13 2026, 8:10 AM. Informational analytics only — not investment advice.
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| AI signal (Strength) | Very Strong ↑ |
|---|---|
| AI 5-day forecast | Up ↑ · 🔒 accuracy: members |
| Price | $48.47 |
| Change today | +0.37% |
| RSI (14) | 56.49 |
| Relative volume | 0.15 |
| Composite (RMTPGV) score | 🔒 members |
| Market cap | $13.1B |
| Forward P/E | 10.36 |
| 52-week high | -12.7% away |
| 52-week low | +17.1% above |
| Technical trend | RAISE-2026-11-10 |
| News sentiment | — |
| Sector | Financial-Insurance |
| Next earnings | 11/2/2026 8:30:00 AM |
As of Nov 13 2026, 8:10 AM, AkshayaAI assigns CNA (CNA Financial Corp) a Very Strong signal. The composite (RMTPGV) score and full factor breakdown are available to signed-in members.
AkshayaAI's AI model currently forecasts Up for CNA over the next 5 trading days. The up/down probability and the model's historical accuracy for CNA are available to signed-in members.
CNA's RSI is neutral (RSI 56). A reading above 70 is typically considered overbought and below 30 oversold.
CNA is trading about 13% below its 52-week high and 17% above its 52-week low as of Nov 13 2026, 8:10 AM.
CNA's next earnings date is 11/2/2026 8:30:00 AM.
CNA is classified under Financial-Insurance in AkshayaAI's taxonomy.
AkshayaAI refreshes its signals daily. The figures on this page are timestamped as of the latest run shown above.
No. AkshayaAI provides informational, AI-generated analytics for CNA — not personalised investment advice. Always do your own research.
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AkshayaAI provides AI-generated, informational stock analytics for US and India markets. This is not personalized investment advice. Figures are as of Nov 13 2026, 8:10 AM and may not reflect real-time prices. Always do your own research. How these signals work →