SFL (SFL) Stock Chart
NYSE: SFLConsumer DiscretionaryMarine TransportationUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
SFL technical summary
SFL is trading 5.0% above its 50-day simple moving average of $12.65 and 20.6% above its 200-day average of $11.01. 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 56.3, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $6.73 (Oct 14, 2025) to $13.98 (Sep 17, 2026); the current price sits 90% of the way from the low to the high. Annualized 30-day volatility is 28.5%. Based on the last session's high, low and close, the classic pivot point is $13.37, with first resistance at $13.49 and first support at $13.16.
These indicators describe past price behavior for SFL; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 56.3
- 50-day SMA
- 12.65
- 200-day SMA
- 11.01
- Beta
- —
- 1Y high
- 13.98 (Sep 17)
- 1Y low
- 6.73 (Oct 14)
- Last close
- 13.28
SFL price performance
1 week
+0.91%
1 month
+5.48%
3 months
+20.18%
6 months
+19.96%
Year to date
+70.04%
1 year
+79.95%
3 years
+18.89%
5 years
+61.95%
SFL price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 13.40Price below | 13.31Price below |
| 10-day | 13.18Price above | 13.25Price above |
| 20-day | 13.19Price above | 13.11Price above |
| 50-day | 12.65Price above | 12.67Price above |
| 100-day | 11.99Price above | 12.08Price above |
| 200-day | 11.01Price above | 10.93Price 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) | 13.83 |
| Resistance 2 (R2) | 13.71 |
| Resistance 1 (R1) | 13.49 |
| Pivot point | 13.37 |
| Support 1 (S1) | 13.16 |
| Support 2 (S2) | 13.04 |
| Support 3 (S3) | 12.82 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work