BXP (BXP) Stock Chart
NYSE: BXPReal EstateReal Estate Investment TrustsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
BXP technical summary
BXP is trading 10.2% below its 50-day simple moving average of $66.19 and 5.2% below its 200-day average of $62.71. 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 30.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $49.72 (Mar 9, 2026) to $75.94 (Oct 6, 2025); the current price sits 37% of the way from the low to the high. Annualized 30-day volatility is 20.8%. Based on the last session's high, low and close, the classic pivot point is $59.35, with first resistance at $60.14 and first support at $58.63.
These indicators describe past price behavior for BXP; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 30.7
- 50-day SMA
- 66.19
- 200-day SMA
- 62.71
- Beta
- —
- 1Y high
- 75.94 (Oct 6)
- 1Y low
- 49.72 (Mar 9)
- Last close
- 59.42
BXP price performance
1 week
-2.77%
1 month
-9.61%
3 months
-11.02%
6 months
+13.09%
Year to date
-11.94%
1 year
-19.45%
3 years
+7.18%
5 years
-49.20%
BXP price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 59.85Price below | 60.00Price below |
| 10-day | 61.02Price below | 60.87Price below |
| 20-day | 62.44Price below | 62.36Price below |
| 50-day | 66.19Price below | 64.49Price below |
| 100-day | 65.63Price below | 64.73Price below |
| 200-day | 62.71Price below | 64.76Price 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) | 61.66 |
| Resistance 2 (R2) | 60.87 |
| Resistance 1 (R1) | 60.14 |
| Pivot point | 59.35 |
| Support 1 (S1) | 58.63 |
| Support 2 (S2) | 57.84 |
| Support 3 (S3) | 57.11 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work