LEIFRAS (LFS) Stock Chart
NASDAQ: LFSReal EstateOther Consumer ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
Pre-market: 2.45 +1.38%
LFS technical summary
LFS is trading 7.9% above its 50-day simple moving average of $2.24 and 1.4% above its 200-day average of $2.38. 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 68.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.58 (May 13, 2026) to $12.49 (Nov 11, 2025); the current price sits 8% of the way from the low to the high. Annualized 30-day volatility is 33.9%. Based on the last session's high, low and close, the classic pivot point is $2.37, with first resistance at $2.49 and first support at $2.29.
These indicators describe past price behavior for LEIFRAS; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 68.1
- 50-day SMA
- 2.24
- 200-day SMA
- 2.38
- Beta
- —
- 1Y high
- 12.49 (Nov 11)
- 1Y low
- 1.58 (May 13)
- Last close
- 2.42
LFS price performance
1 week
+16.67%
1 month
+13.38%
3 months
+13.38%
6 months
-2.66%
Year to date
-12.82%
1 year
-22.35%
LFS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 2.23Price above | 2.27Price above |
| 10-day | 2.17Price above | 2.21Price above |
| 20-day | 2.17Price above | 2.19Price above |
| 50-day | 2.24Price above | 2.21Price above |
| 100-day | 2.25Price above | 2.29Price above |
| 200-day | 2.38Price above | 2.61Price 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) | 2.69 |
| Resistance 2 (R2) | 2.57 |
| Resistance 1 (R1) | 2.49 |
| Pivot point | 2.37 |
| Support 1 (S1) | 2.29 |
| Support 2 (S2) | 2.17 |
| Support 3 (S3) | 2.09 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work