Youdao (DAO) Stock Chart
NYSE: DAOReal EstateOther Consumer ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
DAO technical summary
DAO is trading 2.4% above its 50-day simple moving average of $15.97 and 32.2% above its 200-day average of $12.37. 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 66.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $8.38 (Dec 17, 2025) to $18.94 (Aug 12, 2026); the current price sits 76% of the way from the low to the high. Annualized 30-day volatility is 50.6%. Based on the last session's high, low and close, the classic pivot point is $16.53, with first resistance at $17.26 and first support at $16.15.
These indicators describe past price behavior for Youdao; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 66.9
- 50-day SMA
- 15.97
- 200-day SMA
- 12.37
- Beta
- —
- 1Y high
- 18.94 (Aug 12)
- 1Y low
- 8.38 (Dec 17)
- Last close
- 16.36
DAO price performance
1 week
+15.15%
1 month
+13.53%
3 months
+29.27%
6 months
+76.28%
Year to date
+67.36%
1 year
+66.04%
3 years
+328.17%
5 years
+41.41%
DAO price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 15.59Price above | 15.76Price above |
| 10-day | 15.11Price above | 15.35Price above |
| 20-day | 14.82Price above | 15.22Price above |
| 50-day | 15.97Price above | 15.16Price above |
| 100-day | 14.28Price above | 14.37Price above |
| 200-day | 12.37Price above | 12.86Price 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) | 18.37 |
| Resistance 2 (R2) | 17.64 |
| Resistance 1 (R1) | 17.26 |
| Pivot point | 16.53 |
| Support 1 (S1) | 16.15 |
| Support 2 (S2) | 15.42 |
| Support 3 (S3) | 15.04 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work