KPRO stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | KPRO |
|---|---|
| History | 2024-02-08 to 2026-10-23 (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
KPRO last closed at $26.23 on 2026-10-23, -15.2% over the past year. Its deepest fall from a prior high in this history was -16.1%, reached on 2026-10-23.
| Last close | $26.23 (2026-10-23) |
|---|---|
| 1-year change | -15.2% |
| Annualized since 2024-02-08 | +2.1% |
| 52-week range | $26.23 – $31.25 |
| Deepest drawdown | -16.1% (2026-10-23) |
| Avg. daily dollar volume (3 months) | $19,899 |
| Daily bars in history | 446 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 5 |
|---|---|
| Shares held | 97,451 ($2.6m reported value) |
| Quarter flows | 2 new, 0 added, 1 trimmed, 0 exited; +13,321 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("KPRO") on the look-back bundles. Top holders of KPRO · All 13F managers
Short interest (2026-10-15)
| Shares short | 13 (+0.0% vs prior report) |
|---|---|
| Days to cover | 1.08 |
KPRO short interest history · Unclassified (ETFs, funds, other) sector
KPRO FAQ
How far back does KPRO price history go?
2024-02-08 to 2026-10-23
Is KPRO still trading?
Yes. KPRO is listed and updated every trading day.
What was KPRO's last close?
$26.23 on 2026-10-23, -15.2% over one year
How do I download KPRO historical data in Python?
pip install finzdata, then yf.Ticker("KPRO").history(start="2024-02-08")
Get it in Python
import finzdata as yf
df = yf.Ticker("KPRO").history(start="2024-02-08", interval="1d")
m15 = yf.Ticker("KPRO").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()