Logistic Properties of the Americas (LPA) Stock Chart
NYSE: LPAReal EstateReal Estate - DevelopmentUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
LPA technical summary
LPA is trading 4.4% below its 50-day simple moving average of $3.07 and 4.0% below its 200-day average of $3.06. 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 53.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $2.04 (Feb 6, 2026) to $4.73 (Oct 8, 2025); the current price sits 33% of the way from the low to the high. Annualized 30-day volatility is 57.1%. Based on the last session's high, low and close, the classic pivot point is $3.04, with first resistance at $3.18 and first support at $2.98.
These indicators describe past price behavior for Logistic Properties of the Americas; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 53.1
- 50-day SMA
- 3.07
- 200-day SMA
- 3.06
- Beta
- —
- 1Y high
- 4.73 (Oct 8)
- 1Y low
- 2.04 (Feb 6)
- Last close
- 2.94
LPA price performance
1 week
+8.74%
1 month
+3.67%
3 months
-6.04%
6 months
-6.61%
Year to date
+13.92%
1 year
-32.83%
LPA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 3.04Price below | 3.04Price below |
| 10-day | 2.95Price below | 3.02Price below |
| 20-day | 3.04Price below | 3.03Price below |
| 50-day | 3.07Price below | 3.08Price below |
| 100-day | 3.15Price below | 3.13Price below |
| 200-day | 3.06Price below | 3.11Price 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) | 3.38 |
| Resistance 2 (R2) | 3.24 |
| Resistance 1 (R1) | 3.18 |
| Pivot point | 3.04 |
| Support 1 (S1) | 2.98 |
| Support 2 (S2) | 2.84 |
| Support 3 (S3) | 2.78 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work