Hamilton Insurance Group (HG) Stock Chart
NYSE: HGFinanceProperty-Casualty InsurersUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
HG technical summary
HG is trading 1.5% below its 50-day simple moving average of $34.85 and 8.4% above its 200-day average of $31.65. 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 50.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $22.66 (Nov 4, 2025) to $37.31 (Jul 28, 2026); the current price sits 80% of the way from the low to the high. Annualized 30-day volatility is 17.4%. Based on the last session's high, low and close, the classic pivot point is $34.37, with first resistance at $34.62 and first support at $34.07.
These indicators describe past price behavior for Hamilton Insurance Group; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 50.7
- 50-day SMA
- 34.85
- 200-day SMA
- 31.65
- Beta
- —
- 1Y high
- 37.31 (Jul 28)
- 1Y low
- 22.66 (Nov 4)
- Last close
- 34.32
HG price performance
1 week
+3.87%
1 month
-1.58%
3 months
-0.49%
6 months
+10.39%
Year to date
+23.01%
1 year
+38.72%
HG price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 34.12Price above | 34.09Price above |
| 10-day | 33.69Price above | 33.99Price above |
| 20-day | 34.16Price above | 34.15Price above |
| 50-day | 34.85Price below | 34.34Price below |
| 100-day | 33.78Price above | 33.62Price above |
| 200-day | 31.65Price above | 31.52Price above |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 35.17 |
| Resistance 2 (R2) | 34.92 |
| Resistance 1 (R1) | 34.62 |
| Pivot point | 34.37 |
| Support 1 (S1) | 34.07 |
| Support 2 (S2) | 33.82 |
| Support 3 (S3) | 33.52 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work