GXIG stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | GXIG |
|---|---|
| History | 2025-06-17 to 2026-10-29 (about 1 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
GXIG last closed at $24.04 on 2026-10-29, -7.7% over the past year. Its deepest fall from a prior high in this history was -10.5%, reached on 2026-10-05.
| Last close | $24.04 (2026-10-29) |
|---|---|
| 1-year change | -7.7% |
| Annualized since 2025-06-17 | -3.2% |
| 52-week range | $23.45 – $26.18 |
| Deepest drawdown | -10.5% (2026-10-05) |
| Avg. daily dollar volume (3 months) | $247,633 |
| Daily bars in history | 301 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 6 |
|---|---|
| Shares held | 3,325,111 ($83.0m reported value) |
| Quarter flows | 1 new, 3 added, 1 trimmed, 1 exited; +1,435,609 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("GXIG") on the look-back bundles. Top holders of GXIG · All 13F managers
Short interest (2026-10-15)
| Shares short | 1 (-98.1% vs prior report) |
|---|---|
| Days to cover | 1.00 |
GXIG short interest history · Unclassified (ETFs, funds, other) sector
GXIG FAQ
How far back does GXIG price history go?
2025-06-17 to 2026-10-29
Is GXIG still trading?
Yes. GXIG is listed and updated every trading day.
What was GXIG's last close?
$24.04 on 2026-10-29, -7.7% over one year
How do I download GXIG historical data in Python?
pip install finzdata, then yf.Ticker("GXIG").history(start="2025-06-17")
Get it in Python
import finzdata as yf
df = yf.Ticker("GXIG").history(start="2025-06-17", interval="1d")
m15 = yf.Ticker("GXIG").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()