Stratasys (SSYS) Stock Chart
NASDAQ: SSYSTechnologyComputer peripheral equipmentUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
SSYS technical summary
SSYS is trading 0.7% above its 50-day simple moving average of $8.18 and 7.3% below its 200-day average of $8.89. 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 51.0, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $7.34 (Mar 30, 2026) to $12.81 (Oct 21, 2025); the current price sits 16% of the way from the low to the high. Annualized 30-day volatility is 34.5%. Based on the last session's high, low and close, the classic pivot point is $8.30, with first resistance at $8.43 and first support at $8.11.
These indicators describe past price behavior for Stratasys; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 51.0
- 50-day SMA
- 8.18
- 200-day SMA
- 8.89
- Beta
- —
- 1Y high
- 12.81 (Oct 21)
- 1Y low
- 7.34 (Mar 30)
- Last close
- 8.24
SSYS price performance
1 week
-0.84%
1 month
+5.51%
3 months
-1.67%
6 months
-0.60%
Year to date
-5.07%
1 year
-28.66%
3 years
-27.66%
5 years
-70.04%
SSYS price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 8.52Price below | 8.43Price below |
| 10-day | 8.41Price below | 8.37Price below |
| 20-day | 8.11Price above | 8.24Price above |
| 50-day | 8.18Price above | 8.21Price above |
| 100-day | 8.44Price below | 8.38Price below |
| 200-day | 8.89Price below | 8.87Price 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) | 8.75 |
| Resistance 2 (R2) | 8.62 |
| Resistance 1 (R1) | 8.43 |
| Pivot point | 8.30 |
| Support 1 (S1) | 8.11 |
| Support 2 (S2) | 7.97 |
| Support 3 (S3) | 7.78 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work