PicoCELA (PCLA) Stock Chart
NASDAQ: PCLAConsumer DiscretionaryBuilding ProductsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
PCLA technical summary
PCLA is trading 4.8% below its 50-day simple moving average of $6.92 and 26.7% above its 200-day average of $5.20. 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 45.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.35 (May 13, 2026) to $19.61 (Aug 10, 2026); the current price sits 29% of the way from the low to the high. Annualized 30-day volatility is 137.1%. Based on the last session's high, low and close, the classic pivot point is $6.58, with first resistance at $6.67 and first support at $6.51.
These indicators describe past price behavior for PicoCELA; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 45.9
- 50-day SMA
- 6.92
- 200-day SMA
- 5.20
- Volatility (30d, ann.)
- 137.1%
- Beta
- —
- 1Y high
- 19.61 (Aug 10)
- 1Y low
- 1.35 (May 13)
- Last close
- 6.59
PCLA price performance
1 week
-2.73%
1 month
+4.27%
3 months
+39.32%
6 months
+182.83%
Year to date
-27.26%
1 year
-51.40%
PCLA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 6.63Price below | 6.65Price below |
| 10-day | 6.83Price below | 6.79Price below |
| 20-day | 7.32Price below | 6.95Price below |
| 50-day | 6.92Price below | 6.73Price below |
| 100-day | 6.17Price above | 6.25Price above |
| 200-day | 5.20Price above | 6.42Price 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) | 6.82 |
| Resistance 2 (R2) | 6.74 |
| Resistance 1 (R1) | 6.67 |
| Pivot point | 6.58 |
| Support 1 (S1) | 6.51 |
| Support 2 (S2) | 6.42 |
| Support 3 (S3) | 6.35 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work