GWHT stock price history
STOCKDelisted1, 5, 15, 30-minute, hourly & daily bars
| Symbol | GWHT-DELISTED |
|---|---|
| History | 2021-02-05 to 2026-10-16 (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 | Delisted: kept in full, so backtests see the whole history |
| Free tier | Last 12 months of daily bars |
Price history at a glance
GWHT last closed at $0.09 on 2026-10-16, -98.1% over the past year and -99.5% over five years. Its deepest fall from a prior high in this history was -99.7%, reached on 2026-10-15.
| Last close | $0.09 (2026-10-16) |
|---|---|
| 1-year change | -98.1% |
| 5-year change | -99.5% |
| Annualized since 2021-02-05 | -57.3% |
| 52-week range | $0.08 – $5.28 |
| Deepest drawdown | -99.7% (2026-10-15) |
| Avg. daily dollar volume (3 months) | $410,305 |
| Daily bars in history | 1,429 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 46 |
|---|---|
| Shares held | 7,300,459 ($6.9m reported value) |
| Quarter flows | 5 new, 13 added, 8 trimmed, 10 exited; -309,617 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("GWHT") on the look-back bundles. Top holders of GWHT · All 13F managers
GWHT FAQ
How far back does GWHT price history go?
2021-02-05 to 2026-10-16
Is GWHT still trading?
No. GWHT was delisted; its last bar is 2026-10-16, and FinzData keeps the full history so backtests stay survivorship-free.
What was GWHT's last close?
$0.09 on 2026-10-16, -98.1% over one year
How do I download GWHT historical data in Python?
pip install finzdata, then yf.Ticker("GWHT-DELISTED").history(start="2021-02-05")
Get it in Python
import finzdata as yf
df = yf.Ticker("GWHT-DELISTED").history(start="2021-02-05", interval="1d")
m15 = yf.Ticker("GWHT-DELISTED").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()