Hyliion (HYLN) Stock Chart
NYSE: HYLNConsumer DiscretionaryConstruction/Ag Equipment/TrucksUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
HYLN technical summary
HYLN is trading 2.4% below its 50-day simple moving average of $3.86 and 13.2% above its 200-day average of $3.33. 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 43.8, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.56 (Nov 21, 2025) to $8.49 (Jun 18, 2026); the current price sits 32% of the way from the low to the high. Annualized 30-day volatility is 64.3%. Based on the last session's high, low and close, the classic pivot point is $3.76, with first resistance at $3.84 and first support at $3.68.
These indicators describe past price behavior for Hyliion; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 43.8
- 50-day SMA
- 3.86
- 200-day SMA
- 3.33
- Beta
- —
- 1Y high
- 8.49 (Jun 18)
- 1Y low
- 1.56 (Nov 21)
- Last close
- 3.77
HYLN price performance
1 week
-10.45%
1 month
-5.75%
3 months
-11.29%
6 months
+108.29%
Year to date
+104.89%
1 year
+50.20%
3 years
+415.73%
5 years
-49.46%
HYLN price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 4.07Price below | 3.96Price below |
| 10-day | 4.09Price below | 4.04Price below |
| 20-day | 4.10Price below | 4.03Price below |
| 50-day | 3.86Price below | 4.01Price below |
| 100-day | 4.60Price below | 3.93Price below |
| 200-day | 3.33Price above | 3.27Price 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) | 4.00 |
| Resistance 2 (R2) | 3.92 |
| Resistance 1 (R1) | 3.84 |
| Pivot point | 3.76 |
| Support 1 (S1) | 3.68 |
| Support 2 (S2) | 3.60 |
| Support 3 (S3) | 3.53 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work