Siddhi Acquisition - Unit (SDHIU) Stock Chart
NASDAQ: SDHIUUSD
At close: Sep 16, 4:00 PM ET · Delayed 15 min
SDHIU technical summary
SDHIU is trading 0.2% above its 50-day simple moving average of $10.60 and 0.8% above its 200-day average of $10.54. 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 79.2, above 70, the level many traders consider overbought.
Over the past year, the stock ranged from $9.60 (Apr 2, 2026) to $11.23 (Oct 30, 2025); the current price sits 63% of the way from the low to the high. Annualized 30-day volatility is 0.5%. Based on the last session's high, low and close, the classic pivot point is $10.62, with first resistance at $10.62 and first support at $10.62.
These indicators describe past price behavior for Siddhi Acquisition - Unit; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 79.2
- 50-day SMA
- 10.60
- 200-day SMA
- 10.54
- Beta
- —
- 1Y high
- 11.23 (Oct 30)
- 1Y low
- 9.60 (Apr 2)
- Last close
- 10.62
SDHIU price performance
1 week
0.00%
1 month
0.00%
3 months
+0.57%
6 months
+1.14%
Year to date
+2.41%
1 year
-1.21%
SDHIU price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 10.62Price above | 10.62Price above |
| 10-day | 10.62Price above | 10.62Price above |
| 20-day | 10.62Price above | 10.62Price above |
| 50-day | 10.60Price above | 10.60Price above |
| 100-day | 10.59Price above | 10.59Price above |
| 200-day | 10.54Price above | 10.55Price 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) | 10.62 |
| Resistance 2 (R2) | 10.62 |
| Resistance 1 (R1) | 10.62 |
| Pivot point | 10.62 |
| Support 1 (S1) | 10.62 |
| Support 2 (S2) | 10.62 |
| Support 3 (S3) | 10.62 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work