CBOA stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | CBOA |
|---|---|
| History | 2025-04-07 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
CBOA last closed at $25.15 on 2026-10-29, -5.9% over the past year. Its deepest fall from a prior high in this history was -10.7%, reached on 2026-06-30.
| Last close | $25.15 (2026-10-29) |
|---|---|
| 1-year change | -5.9% |
| Annualized since 2025-04-07 | +0.3% |
| 52-week range | $23.93 – $26.73 |
| Deepest drawdown | -10.7% (2026-06-30) |
| Avg. daily dollar volume (3 months) | $20,126 |
| Daily bars in history | 272 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 118,390 ($2.8m reported value) |
| Quarter flows | 0 new, 2 added, 2 trimmed, 1 exited; -9,785 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("CBOA") on the look-back bundles. Top holders of CBOA · All 13F managers
Short interest (2026-10-15)
| Shares short | 26 (+0.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
CBOA short interest history · Unclassified (ETFs, funds, other) sector
CBOA FAQ
How far back does CBOA price history go?
2025-04-07 to 2026-10-29
Is CBOA still trading?
Yes. CBOA is listed and updated every trading day.
What was CBOA's last close?
$25.15 on 2026-10-29, -5.9% over one year
How do I download CBOA historical data in Python?
pip install finzdata, then yf.Ticker("CBOA").history(start="2025-04-07")
Get it in Python
import finzdata as yf
df = yf.Ticker("CBOA").history(start="2025-04-07", interval="1d")
m15 = yf.Ticker("CBOA").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()