Afya (AFYA) Stock Chart
NASDAQ: AFYAReal EstateOther Consumer ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
AFYA technical summary
AFYA is trading 1.0% above its 50-day simple moving average of $13.77 and 2.9% below its 200-day average of $14.31. 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 57.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $11.62 (Sep 29, 2026) to $16.16 (Apr 20, 2026); the current price sits 50% of the way from the low to the high. Annualized 30-day volatility is 44.9%. Based on the last session's high, low and close, the classic pivot point is $13.99, with first resistance at $14.19 and first support at $13.71.
These indicators describe past price behavior for Afya; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 57.1
- 50-day SMA
- 13.77
- 200-day SMA
- 14.31
- Beta
- —
- 1Y high
- 16.16 (Apr 20)
- 1Y low
- 11.62 (Sep 29)
- Last close
- 13.90
AFYA price performance
1 week
+15.45%
1 month
-2.73%
3 months
-6.21%
6 months
-6.96%
Year to date
-9.80%
1 year
-7.95%
3 years
-9.74%
5 years
-30.36%
AFYA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 13.08Price above | 13.33Price above |
| 10-day | 12.81Price above | 13.13Price above |
| 20-day | 13.22Price above | 13.26Price above |
| 50-day | 13.77Price above | 13.64Price above |
| 100-day | 14.04Price below | 13.93Price below |
| 200-day | 14.31Price below | 14.21Price 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) | 14.67 |
| Resistance 2 (R2) | 14.47 |
| Resistance 1 (R1) | 14.19 |
| Pivot point | 13.99 |
| Support 1 (S1) | 13.71 |
| Support 2 (S2) | 13.51 |
| Support 3 (S3) | 13.23 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work