SmartRent (SMRT) Stock Chart
NYSE: SMRTTechnologyEDP ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
SMRT technical summary
SMRT is trading 7.1% below its 50-day simple moving average of $1.26 and 16.5% below its 200-day average of $1.40. 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 42.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $0.905 (Jul 16, 2026) to $2.20 (Dec 15, 2025); the current price sits 20% of the way from the low to the high. Annualized 30-day volatility is 39.2%. Based on the last session's high, low and close, the classic pivot point is $1.18, with first resistance at $1.19 and first support at $1.16.
These indicators describe past price behavior for SmartRent; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 42.2
- 50-day SMA
- 1.26
- 200-day SMA
- 1.40
- Beta
- —
- 1Y high
- 2.20 (Dec 15)
- 1Y low
- 0.905 (Jul 16)
- Last close
- 1.17
SMRT price performance
1 week
-0.85%
1 month
-9.30%
3 months
+11.43%
6 months
-18.75%
Year to date
-42.08%
1 year
-14.60%
3 years
-55.17%
5 years
-90.38%
SMRT price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.19Price below | 1.19Price below |
| 10-day | 1.19Price below | 1.19Price below |
| 20-day | 1.18Price below | 1.20Price below |
| 50-day | 1.26Price below | 1.22Price below |
| 100-day | 1.19Price below | 1.25Price below |
| 200-day | 1.40Price below | 1.39Price 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) | 1.22 |
| Resistance 2 (R2) | 1.21 |
| Resistance 1 (R1) | 1.19 |
| Pivot point | 1.18 |
| Support 1 (S1) | 1.16 |
| Support 2 (S2) | 1.15 |
| Support 3 (S3) | 1.13 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work