Weibo (WB) Stock Chart
NASDAQ: WBTechnologyComputer Software: Programming Data ProcessingUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
WB technical summary
WB is trading 8.2% below its 50-day simple moving average of $7.06 and 23.7% below its 200-day average of $8.50. 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 38.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $6.27 (Oct 2, 2026) to $12.77 (Oct 9, 2025); the current price sits 3% of the way from the low to the high. Annualized 30-day volatility is 17.2%. Based on the last session's high, low and close, the classic pivot point is $6.46, with first resistance at $6.53 and first support at $6.41.
These indicators describe past price behavior for Weibo; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 38.7
- 50-day SMA
- 7.06
- 200-day SMA
- 8.50
- Beta
- —
- 1Y high
- 12.77 (Oct 9)
- 1Y low
- 6.27 (Oct 2)
- Last close
- 6.48
WB price performance
1 week
+0.31%
1 month
-3.28%
3 months
-15.40%
6 months
-26.78%
Year to date
-36.59%
1 year
-48.16%
3 years
-47.15%
5 years
-86.48%
WB price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 6.43Price above | 6.46Price above |
| 10-day | 6.45Price above | 6.47Price above |
| 20-day | 6.53Price below | 6.57Price below |
| 50-day | 7.06Price below | 6.92Price below |
| 100-day | 7.39Price below | 7.43Price below |
| 200-day | 8.50Price below | 8.45Price 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) | 6.65 |
| Resistance 2 (R2) | 6.58 |
| Resistance 1 (R1) | 6.53 |
| Pivot point | 6.46 |
| Support 1 (S1) | 6.41 |
| Support 2 (S2) | 6.34 |
| Support 3 (S3) | 6.29 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work