Powerus (PUSA) Stock Chart
NASDAQ: PUSAConsumer DiscretionaryHotels/ResortsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
PUSA technical summary
PUSA is trading 27.1% below its 50-day simple moving average of $3.48 and 35.0% below its 200-day average of $3.90. 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 27.8, below 30, the level many traders consider oversold.
Over the past year, the stock ranged from $2.43 (Oct 7, 2026) to $8.25 (Oct 28, 2025); the current price sits 2% of the way from the low to the high. Annualized 30-day volatility is 82.6%. Based on the last session's high, low and close, the classic pivot point is $2.58, with first resistance at $2.73 and first support at $2.39.
These indicators describe past price behavior for Powerus; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 27.8
- 50-day SMA
- 3.48
- 200-day SMA
- 3.90
- Beta
- —
- 1Y high
- 8.25 (Oct 28)
- 1Y low
- 2.43 (Oct 7)
- Last close
- 2.54
PUSA price performance
1 week
-34.66%
1 month
-30.93%
3 months
-33.29%
6 months
-23.18%
Year to date
-19.52%
1 year
-27.16%
PUSA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 2.93Price below | 2.92Price below |
| 10-day | 3.33Price below | 3.17Price below |
| 20-day | 3.46Price below | 3.37Price below |
| 50-day | 3.48Price below | 3.53Price below |
| 100-day | 3.80Price below | 3.70Price below |
| 200-day | 3.90Price below | 3.95Price 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) | 3.07 |
| Resistance 2 (R2) | 2.92 |
| Resistance 1 (R1) | 2.73 |
| Pivot point | 2.58 |
| Support 1 (S1) | 2.39 |
| Support 2 (S2) | 2.24 |
| Support 3 (S3) | 2.05 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work