Net Lease Office Properties (NLOP) Stock Chart
NYSE: NLOPReal EstateREIT - OfficeUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
NLOP technical summary
NLOP is trading 13.2% below its 50-day simple moving average of $11.01 and 30.4% below its 200-day average of $13.73. 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 22.2, below 30, the level many traders consider oversold.
Over the past year, the stock ranged from $9.51 (Oct 5, 2026) to $30.26 (Nov 12, 2025); the current price is at the bottom of that range. Annualized 30-day volatility is 18.7%. Based on the last session's high, low and close, the classic pivot point is $9.61, with first resistance at $9.66 and first support at $9.50.
These indicators describe past price behavior for Net Lease Office Properties; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 22.2
- 50-day SMA
- 11.01
- 200-day SMA
- 13.73
- Beta
- —
- 1Y high
- 30.26 (Nov 12)
- 1Y low
- 9.51 (Oct 5)
- Last close
- 9.56
NLOP price performance
1 week
-3.14%
1 month
-14.34%
3 months
-13.25%
6 months
-18.22%
Year to date
-62.93%
1 year
-67.54%
NLOP price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 9.66Price below | 9.67Price below |
| 10-day | 9.80Price below | 9.85Price below |
| 20-day | 10.24Price below | 10.18Price below |
| 50-day | 11.01Price below | 10.77Price below |
| 100-day | 11.30Price below | 11.80Price below |
| 200-day | 13.73Price below | 15.31Price 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) | 9.82 |
| Resistance 2 (R2) | 9.77 |
| Resistance 1 (R1) | 9.66 |
| Pivot point | 9.61 |
| Support 1 (S1) | 9.50 |
| Support 2 (S2) | 9.45 |
| Support 3 (S3) | 9.34 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work