AMTD Digital (HKD) Stock Chart
NYSE: HKDFinanceFinance: Consumer ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
HKD technical summary
HKD is trading 2.2% above its 50-day simple moving average of $1.69 and 6.9% above its 200-day average of $1.62. 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 53.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.26 (Dec 30, 2025) to $5.47 (Oct 31, 2025); the current price sits 11% of the way from the low to the high. Annualized 30-day volatility is 30.3%. Based on the last session's high, low and close, the classic pivot point is $1.72, with first resistance at $1.77 and first support at $1.68.
These indicators describe past price behavior for AMTD Digital; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 53.2
- 50-day SMA
- 1.69
- 200-day SMA
- 1.62
- Beta
- —
- 1Y high
- 5.47 (Oct 31)
- 1Y low
- 1.26 (Dec 30)
- Last close
- 1.73
HKD price performance
1 week
-3.35%
1 month
-0.57%
3 months
+15.33%
6 months
+3.59%
Year to date
+36.22%
1 year
-2.81%
3 years
-68.60%
HKD price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.72Price above | 1.73Price above |
| 10-day | 1.72Price above | 1.72Price above |
| 20-day | 1.71Price above | 1.71Price above |
| 50-day | 1.69Price above | 1.69Price above |
| 100-day | 1.67Price above | 1.68Price above |
| 200-day | 1.62Price above | 1.64Price 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) | 1.87 |
| Resistance 2 (R2) | 1.82 |
| Resistance 1 (R1) | 1.77 |
| Pivot point | 1.72 |
| Support 1 (S1) | 1.68 |
| Support 2 (S2) | 1.63 |
| Support 3 (S3) | 1.58 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work