Garden Stage (GSIW) Stock Chart
NASDAQ: GSIWFinancial ServicesCapital MarketsUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
GSIW technical summary
GSIW is trading 30.1% below its 50-day simple moving average of $15.27 and 54.8% below its 200-day average of $23.65. 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 33.6, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $8.00 (Mar 6, 2026) to $51.20 (Oct 8, 2025); the current price sits 6% of the way from the low to the high. Annualized 30-day volatility is 96.4%. Based on the last session's high, low and close, the classic pivot point is $10.73, with first resistance at $10.78 and first support at $10.63.
These indicators describe past price behavior for Garden Stage; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 33.6
- 50-day SMA
- 15.27
- 200-day SMA
- 23.65
- Beta
- —
- 1Y high
- 51.20 (Oct 8)
- 1Y low
- 8.00 (Mar 6)
- Last close
- 10.68
GSIW price performance
1 week
+0.66%
1 month
-25.05%
3 months
-62.45%
6 months
-40.70%
Year to date
-58.60%
1 year
-66.83%
GSIW price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 10.19Price above | 10.56Price above |
| 10-day | 10.95Price below | 11.17Price below |
| 20-day | 12.82Price below | 12.45Price below |
| 50-day | 15.27Price below | 15.76Price below |
| 100-day | 22.04Price below | 19.36Price below |
| 200-day | 23.65Price below | 22.52Price 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) | 10.93 |
| Resistance 2 (R2) | 10.88 |
| Resistance 1 (R1) | 10.78 |
| Pivot point | 10.73 |
| Support 1 (S1) | 10.63 |
| Support 2 (S2) | 10.58 |
| Support 3 (S3) | 10.48 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work