Siddhi Acquisition (SDHI) Stock Chart
NASDAQ: SDHIFinanceBlank ChecksUSD
Market open · Delayed 15 min · as of Oct 6, 4:00 PM ET
SDHI technical summary
SDHI is trading 0.7% above its 50-day simple moving average of $10.51 and 2.0% above its 200-day average of $10.39. 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 72.6, above 70, the level many traders consider overbought.
Over the past year, the stock ranged from $10.15 (Oct 7, 2025) to $10.59 (Oct 6, 2026); the current price is at the top of that range. Annualized 30-day volatility is 2.2%. Based on the last session's high, low and close, the classic pivot point is $10.58, with first resistance at $10.60 and first support at $10.58.
These indicators describe past price behavior for Siddhi Acquisition; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 72.6
- 50-day SMA
- 10.51
- 200-day SMA
- 10.39
- Beta
- —
- 1Y high
- 10.59 (Oct 6)
- 1Y low
- 10.15 (Oct 7)
- Last close
- 10.59
SDHI price performance
1 week
+0.38%
1 month
+0.57%
3 months
+1.15%
6 months
+1.92%
Year to date
+3.02%
1 year
+4.33%
SDHI price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 10.56Price above | 10.57Price above |
| 10-day | 10.55Price above | 10.56Price above |
| 20-day | 10.55Price above | 10.54Price above |
| 50-day | 10.51Price above | 10.51Price above |
| 100-day | 10.47Price above | 10.47Price above |
| 200-day | 10.39Price above | 10.40Price 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) | 10.60 |
| Resistance 1 (R1) | 10.60 |
| Pivot point | 10.58 |
| Support 1 (S1) | 10.58 |
| Support 2 (S2) | 10.56 |
| Support 3 (S3) | 10.56 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work