Borealis Foods (BRLS) Stock Chart
NASDAQ: BRLSConsumer StaplesPackaged FoodsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
BRLS technical summary
BRLS is trading 1.0% above its 50-day simple moving average of $1.18 and 9.6% below its 200-day average of $1.32. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 43.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $0.60 (Feb 6, 2026) to $4.26 (Oct 8, 2025); the current price sits 16% of the way from the low to the high. Annualized 30-day volatility is 73.1%. Based on the last session's high, low and close, the classic pivot point is $1.17, with first resistance at $1.21 and first support at $1.14.
These indicators describe past price behavior for Borealis Foods; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 43.9
- 50-day SMA
- 1.18
- 200-day SMA
- 1.32
- Beta
- —
- 1Y high
- 4.26 (Oct 8)
- 1Y low
- 0.60 (Feb 6)
- Last close
- 1.19
BRLS price performance
1 week
-7.75%
1 month
-11.19%
3 months
+13.33%
6 months
-17.93%
Year to date
-40.50%
1 year
-70.10%
3 years
-89.22%
5 years
-87.92%
BRLS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.23Price below | 1.23Price below |
| 10-day | 1.27Price below | 1.26Price below |
| 20-day | 1.32Price below | 1.27Price below |
| 50-day | 1.18Price above | 1.24Price below |
| 100-day | 1.22Price below | 1.27Price below |
| 200-day | 1.32Price below | 1.52Price 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) | 1.29 |
| Resistance 2 (R2) | 1.24 |
| Resistance 1 (R1) | 1.21 |
| Pivot point | 1.17 |
| Support 1 (S1) | 1.14 |
| Support 2 (S2) | 1.09 |
| Support 3 (S3) | 1.07 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work