Local Bounti (LOCL) Stock Chart
NYSE: LOCLConsumer StaplesFarming/Seeds/MillingUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
LOCL technical summary
LOCL is trading 1.9% above its 50-day simple moving average of $1.08 and 27.3% below its 200-day average of $1.51. 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 50.8, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $0.95 (Aug 6, 2026) to $4.00 (Oct 15, 2025); the current price sits 5% of the way from the low to the high. Annualized 30-day volatility is 73.0%. Based on the last session's high, low and close, the classic pivot point is $1.10, with first resistance at $1.12 and first support at $1.08.
These indicators describe past price behavior for Local Bounti; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 50.8
- 50-day SMA
- 1.08
- 200-day SMA
- 1.51
- Beta
- —
- 1Y high
- 4.00 (Oct 15)
- 1Y low
- 0.95 (Aug 6)
- Last close
- 1.10
LOCL price performance
1 week
+0.92%
1 month
-0.90%
3 months
-13.39%
6 months
-36.05%
Year to date
-48.60%
1 year
-62.20%
3 years
-29.49%
5 years
-99.15%
LOCL price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.08Price above | 1.08Price above |
| 10-day | 1.07Price above | 1.08Price above |
| 20-day | 1.11Price below | 1.09Price above |
| 50-day | 1.08Price above | 1.12Price below |
| 100-day | 1.24Price below | 1.26Price below |
| 200-day | 1.51Price below | 1.59Price 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) | 1.17 |
| Resistance 2 (R2) | 1.14 |
| Resistance 1 (R1) | 1.12 |
| Pivot point | 1.10 |
| Support 1 (S1) | 1.08 |
| Support 2 (S2) | 1.05 |
| Support 3 (S3) | 1.03 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work