EGH Acquisition - Unit (EGHAU) Stock Chart
NASDAQ: EGHAUFinancial ServicesShell CompaniesUSD
At close: Oct 6, 4:00 PM ET · Delayed 15 min
EGHAU technical summary
EGHAU is trading 0.0% below its 50-day simple moving average of $10.66 and 0.3% below its 200-day average of $10.69. 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 37.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $10.21 (Oct 8, 2025) to $19.00 (Jun 8, 2026); the current price sits 5% of the way from the low to the high. Annualized 30-day volatility is 0.0%. Based on the last session's high, low and close, the classic pivot point is $10.66, with first resistance at $10.66 and first support at $10.66.
These indicators describe past price behavior for EGH Acquisition - Unit; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 37.9
- 50-day SMA
- 10.66
- 200-day SMA
- 10.69
- Beta
- —
- 1Y high
- 19.00 (Jun 8)
- 1Y low
- 10.21 (Oct 8)
- Last close
- 10.66
EGHAU price performance
1 week
0.00%
1 month
0.00%
3 months
0.00%
6 months
+1.81%
Year to date
+3.09%
1 year
+4.41%
EGHAU price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 10.66Price above | 10.66Price below |
| 10-day | 10.66Price above | 10.66Price below |
| 20-day | 10.66Price above | 10.66Price below |
| 50-day | 10.66Price below | 10.69Price below |
| 100-day | 10.89Price below | 10.73Price below |
| 200-day | 10.69Price below | 10.64Price 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) | 10.66 |
| Resistance 2 (R2) | 10.66 |
| Resistance 1 (R1) | 10.66 |
| Pivot point | 10.66 |
| Support 1 (S1) | 10.66 |
| Support 2 (S2) | 10.66 |
| Support 3 (S3) | 10.66 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work