GBank Financial (GBFH) Stock Chart
NASDAQ: GBFHFinancial ServicesBanks - RegionalUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
GBFH technical summary
GBFH is trading 13.5% below its 50-day simple moving average of $20.17 and 37.2% below its 200-day average of $27.79. 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 25.7, below 30, the level many traders consider oversold.
Over the past year, the stock ranged from $17.37 (Oct 7, 2026) to $42.23 (Oct 8, 2025); the current price is at the bottom of that range. Annualized 30-day volatility is 22.2%. Based on the last session's high, low and close, the classic pivot point is $17.53, with first resistance at $17.69 and first support at $17.29.
These indicators describe past price behavior for GBank Financial; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 25.7
- 50-day SMA
- 20.17
- 200-day SMA
- 27.79
- Beta
- —
- 1Y high
- 42.23 (Oct 8)
- 1Y low
- 17.37 (Oct 7)
- Last close
- 17.45
GBFH price performance
1 week
-4.02%
1 month
-13.01%
3 months
-42.73%
6 months
-38.96%
Year to date
-48.51%
1 year
-58.32%
GBFH price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 17.69Price below | 17.75Price below |
| 10-day | 18.24Price below | 18.12Price below |
| 20-day | 18.87Price below | 18.76Price below |
| 50-day | 20.17Price below | 20.90Price below |
| 100-day | 25.15Price below | 23.69Price below |
| 200-day | 27.79Price below | 27.23Price 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) | 18.09 |
| Resistance 2 (R2) | 17.93 |
| Resistance 1 (R1) | 17.69 |
| Pivot point | 17.53 |
| Support 1 (S1) | 17.29 |
| Support 2 (S2) | 17.13 |
| Support 3 (S3) | 16.89 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work