OppFi (OPFI) Stock Chart
NYSE: OPFIFinanceFinance: Consumer ServicesUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
After hours: 6.11 +0.33%
OPFI technical summary
OPFI is trading 16.9% below its 50-day simple moving average of $7.33 and 29.5% below its 200-day average of $8.64. 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 33.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $5.91 (Oct 2, 2026) to $11.69 (Dec 22, 2025); the current price sits 3% of the way from the low to the high. Annualized 30-day volatility is 43.5%. Based on the last session's high, low and close, the classic pivot point is $6.07, with first resistance at $6.13 and first support at $6.00.
These indicators describe past price behavior for OppFi; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 33.2
- 50-day SMA
- 7.33
- 200-day SMA
- 8.64
- Beta
- —
- 1Y high
- 11.69 (Dec 22)
- 1Y low
- 5.91 (Oct 2)
- Last close
- 6.09
OPFI price performance
1 week
+0.50%
1 month
-18.11%
3 months
-33.33%
6 months
-25.37%
Year to date
-42.07%
1 year
-40.18%
3 years
+174.21%
5 years
-17.44%
OPFI price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 6.04Price above | 6.08Price above |
| 10-day | 6.10Price below | 6.17Price below |
| 20-day | 6.56Price below | 6.45Price below |
| 50-day | 7.33Price below | 7.16Price below |
| 100-day | 8.09Price below | 7.80Price below |
| 200-day | 8.64Price below | 8.48Price 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) | 6.26 |
| Resistance 2 (R2) | 6.20 |
| Resistance 1 (R1) | 6.13 |
| Pivot point | 6.07 |
| Support 1 (S1) | 6.00 |
| Support 2 (S2) | 5.93 |
| Support 3 (S3) | 5.86 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work