Shoulder Innovations (SI) Stock Chart
NYSE: SIHealth CareMedical/Dental InstrumentsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
SI technical summary
SI is trading 7.0% below its 50-day simple moving average of $20.11 and 12.3% above its 200-day average of $16.66. 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 47.5, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $10.92 (Nov 11, 2025) to $24.60 (Jul 29, 2026); the current price sits 57% of the way from the low to the high. Annualized 30-day volatility is 36.3%. Based on the last session's high, low and close, the classic pivot point is $18.84, with first resistance at $19.19 and first support at $18.36.
These indicators describe past price behavior for Shoulder Innovations; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 47.5
- 50-day SMA
- 20.11
- 200-day SMA
- 16.66
- Beta
- —
- 1Y high
- 24.60 (Jul 29)
- 1Y low
- 10.92 (Nov 11)
- Last close
- 18.71
SI price performance
1 week
-1.01%
1 month
-6.40%
3 months
-7.83%
6 months
+28.15%
Year to date
+30.84%
1 year
+42.82%
SI price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 19.04Price below | 18.91Price below |
| 10-day | 18.49Price above | 18.71Price below |
| 20-day | 18.26Price above | 18.79Price below |
| 50-day | 20.11Price below | 19.31Price below |
| 100-day | 19.31Price below | 18.81Price below |
| 200-day | 16.66Price above | 16.97Price 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) | 20.02 |
| Resistance 2 (R2) | 19.67 |
| Resistance 1 (R1) | 19.19 |
| Pivot point | 18.84 |
| Support 1 (S1) | 18.36 |
| Support 2 (S2) | 18.01 |
| Support 3 (S3) | 17.53 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work