OGSP stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | OGSP |
|---|---|
| History | 2024-04-10 to 2026-10-07 (about 2 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
OGSP last closed at $9.92 on 2026-10-07, -1.6% over the past year. Its deepest fall from a prior high in this history was -2.3%, reached on 2026-10-07.
| Last close | $9.92 (2026-10-07) |
|---|---|
| 1-year change | -1.6% |
| Annualized since 2024-04-10 | -0.4% |
| 52-week range | $9.92 – $10.14 |
| Deepest drawdown | -2.3% (2026-10-07) |
| Avg. daily dollar volume (3 months) | $9,983 |
| Daily bars in history | 439 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 1 |
|---|---|
| Shares held | 13,306 ($133,000 reported value) |
| Quarter flows | 0 new, 0 added, 1 trimmed, 1 exited; -16,809 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("OGSP") on the look-back bundles. Top holders of OGSP · All 13F managers
Short interest (2026-10-15)
| Shares short | 880 (+0.6% vs prior report) |
|---|---|
| Days to cover | 24.44 |
OGSP short interest history · Unclassified (ETFs, funds, other) sector
OGSP FAQ
How far back does OGSP price history go?
2024-04-10 to 2026-10-07
Is OGSP still trading?
Yes. OGSP is listed and updated every trading day.
What was OGSP's last close?
$9.92 on 2026-10-07, -1.6% over one year
How do I download OGSP historical data in Python?
pip install finzdata, then yf.Ticker("OGSP").history(start="2024-04-10")
Get it in Python
import finzdata as yf
df = yf.Ticker("OGSP").history(start="2024-04-10", interval="1d")
m15 = yf.Ticker("OGSP").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()