RLJ Lodging (RLJ) Stock Chart
NYSE: RLJReal EstateReal Estate Investment TrustsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
RLJ technical summary
RLJ is trading 1.1% below its 50-day simple moving average of $11.25 and 17.0% above its 200-day average of $9.52. 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 51.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $6.54 (Oct 14, 2025) to $12.89 (Aug 6, 2026); the current price sits 72% of the way from the low to the high. Annualized 30-day volatility is 19.4%. Based on the last session's high, low and close, the classic pivot point is $11.12, with first resistance at $11.27 and first support at $10.97.
These indicators describe past price behavior for RLJ Lodging; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 51.1
- 50-day SMA
- 11.25
- 200-day SMA
- 9.52
- Beta
- —
- 1Y high
- 12.89 (Aug 6)
- 1Y low
- 6.54 (Oct 14)
- Last close
- 11.13
RLJ price performance
1 week
+0.72%
1 month
+4.12%
3 months
+0.54%
6 months
+44.55%
Year to date
+49.40%
1 year
+58.77%
3 years
+16.18%
5 years
-25.25%
RLJ price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 11.15Price below | 11.14Price below |
| 10-day | 11.12Price above | 11.11Price above |
| 20-day | 11.02Price above | 11.09Price above |
| 50-day | 11.25Price below | 11.12Price above |
| 100-day | 11.14Price below | 10.76Price above |
| 200-day | 9.52Price above | 9.60Price 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) | 11.57 |
| Resistance 2 (R2) | 11.42 |
| Resistance 1 (R1) | 11.27 |
| Pivot point | 11.12 |
| Support 1 (S1) | 10.97 |
| Support 2 (S2) | 10.82 |
| Support 3 (S3) | 10.67 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work