AI Signal & Stock Analysis · Avoid ↓
As of Sep 28 2026, 6:09 PM, AkshayaAI's signal for RPM is Avoid ↓; the stock is at $100.20 (-0.24% today); neutral (RSI 43); technical trend is down-trend; news sentiment is positive; AI 5-day forecast is Up ↑.
Data as of Sep 28 2026, 6:09 PM. Informational analytics only — not investment advice.
| AI signal (Strength) | Avoid ↓ |
|---|---|
| AI 5-day forecast | Up ↑ · 🔒 accuracy: members |
| Price | $100.20 |
| Change today | -0.24% |
| RSI (14) | 42.88 |
| Relative volume | 0.63 |
| Composite (RMTPGV) score | 🔒 members |
| Market cap | $12.8B |
| Forward P/E | 14.93 |
| 52-week high | -17.8% away |
| 52-week low | +7.8% above |
| Technical trend | Down-trend (since 2026-08-18) |
| News sentiment | Positive |
| Sector | Materials-AgriChemicals |
| Next earnings | 10/6/2026 8:30:00 AM |
As of Sep 28 2026, 6:09 PM, AkshayaAI assigns RPM (RPM International Inc) a Avoid signal. The composite (RMTPGV) score and full factor breakdown are available to signed-in members.
AkshayaAI's AI model currently forecasts Up for RPM over the next 5 trading days. The up/down probability and the model's historical accuracy for RPM are available to signed-in members.
RPM's RSI is neutral (RSI 43). A reading above 70 is typically considered overbought and below 30 oversold.
RPM is trading about 18% below its 52-week high and 8% above its 52-week low as of Sep 28 2026, 6:09 PM.
RPM's next earnings date is 10/6/2026 8:30:00 AM.
RPM is classified under Materials-AgriChemicals 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 RPM — 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 Sep 28 2026, 6:09 PM and may not reflect real-time prices. Always do your own research. How these signals work →
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