DAQO New Energy (DQ) Stock Chart
NYSE: DQTechnologySemiconductorsUSD
Market open · Delayed 15 min · as of Oct 8, 1:09 PM ET
DQ technical summary
DQ is trading 16.4% below its 50-day simple moving average of $12.74 and 43.1% below its 200-day average of $18.74. 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 38.4, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $10.87 (Sep 28, 2026) to $36.59 (Nov 10, 2025); the current price is at the bottom of that range. Annualized 30-day volatility is 41.1%. Based on the last session's high, low and close, the classic pivot point is $11.10, with first resistance at $11.22 and first support at $10.95.
These indicators describe past price behavior for DAQO New Energy; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 38.4
- 50-day SMA
- 12.74
- 200-day SMA
- 18.74
- Beta
- —
- 1Y high
- 36.59 (Nov 10)
- 1Y low
- 10.87 (Sep 28)
- Last close
- 10.66
DQ price performance
1 week
-2.29%
1 month
-11.22%
3 months
-9.11%
6 months
-47.06%
Year to date
-62.44%
1 year
-60.88%
3 years
-58.80%
5 years
-82.68%
DQ price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 11.14Price below | 11.13Price below |
| 10-day | 11.28Price below | 11.29Price below |
| 20-day | 11.52Price below | 11.64Price below |
| 50-day | 12.74Price below | 12.51Price below |
| 100-day | 13.58Price below | 14.31Price below |
| 200-day | 18.74Price below | 19.01Price 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) | 11.49 |
| Resistance 2 (R2) | 11.37 |
| Resistance 1 (R1) | 11.22 |
| Pivot point | 11.10 |
| Support 1 (S1) | 10.95 |
| Support 2 (S2) | 10.83 |
| Support 3 (S3) | 10.68 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work