Neptune Insurance (NP) Stock Chart
NYSE: NPFinanceSpecialty InsurersUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
NP technical summary
NP is trading 10.2% below its 50-day simple moving average of $31.02 and 1.6% above its 200-day average of $27.41. 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 37.6, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $14.78 (Feb 12, 2026) to $35.15 (Jul 29, 2026); the current price sits 64% of the way from the low to the high. Annualized 30-day volatility is 25.0%. Based on the last session's high, low and close, the classic pivot point is $27.56, with first resistance at $28.16 and first support at $27.17.
These indicators describe past price behavior for Neptune Insurance; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 37.6
- 50-day SMA
- 31.02
- 200-day SMA
- 27.41
- Beta
- —
- 1Y high
- 35.15 (Jul 29)
- 1Y low
- 14.78 (Feb 12)
- Last close
- 27.86
NP price performance
1 week
+1.57%
1 month
-13.32%
3 months
-11.84%
6 months
+7.01%
Year to date
-4.73%
1 year
+1.46%
NP price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 27.35Price above | 27.47Price above |
| 10-day | 27.42Price above | 27.72Price above |
| 20-day | 28.67Price below | 28.63Price below |
| 50-day | 31.02Price below | 29.88Price below |
| 100-day | 30.08Price below | 29.60Price below |
| 200-day | 27.41Price above | 27.97Price 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) | 29.15 |
| Resistance 2 (R2) | 28.55 |
| Resistance 1 (R1) | 28.16 |
| Pivot point | 27.56 |
| Support 1 (S1) | 27.17 |
| Support 2 (S2) | 26.57 |
| Support 3 (S3) | 26.18 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work