GFGF stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | GFGF |
|---|---|
| History | 2021-12-16 to 2026-10-23 (about 5 years) |
| Bar sizes | 1-minute, 5-minute, 15-minute, 30-minute, hourly and daily |
| Adjustments | Unadjusted, split-adjusted or split-and-dividend-adjusted, chosen on read |
| Survivorship | Included in the survivorship-free universe |
| Free tier | Last 12 months of daily bars |
Price history at a glance
GFGF last closed at $35.41 on 2026-10-23, +3.8% over the past year. Its deepest fall from a prior high in this history was -28.0%, reached on 2022-10-12.
| Last close | $35.41 (2026-10-23) |
|---|---|
| 1-year change | +3.8% |
| Annualized since 2021-12-16 | +7.6% |
| 52-week range | $30.65 – $37.11 |
| Deepest drawdown | -28.0% (2022-10-12) |
| Avg. daily dollar volume (3 months) | $107,171 |
| Daily bars in history | 1,205 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 2 |
|---|---|
| Shares held | 16,763 ($594,040 reported value) |
| Quarter flows | 0 new, 1 added, 0 trimmed, 0 exited; +8,487 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("GFGF") on the look-back bundles. Top holders of GFGF · All 13F managers
Short interest (2026-10-15)
| Shares short | 306 (+142.9% vs prior report) |
|---|---|
| Days to cover | 1.00 |
GFGF short interest history · Unclassified (ETFs, funds, other) sector
GFGF FAQ
How far back does GFGF price history go?
2021-12-16 to 2026-10-23
Is GFGF still trading?
Yes. GFGF is listed and updated every trading day.
What was GFGF's last close?
$35.41 on 2026-10-23, +3.8% over one year
How do I download GFGF historical data in Python?
pip install finzdata, then yf.Ticker("GFGF").history(start="2021-12-16")
Get it in Python
import finzdata as yf
df = yf.Ticker("GFGF").history(start="2021-12-16", interval="1d")
m15 = yf.Ticker("GFGF").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()