BTRN stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | BTRN |
|---|---|
| History | 2024-03-21 to 2026-10-16 (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
BTRN last closed at $27.13 on 2026-10-16, -24.1% over the past year. Its deepest fall from a prior high in this history was -42.7%, reached on 2026-07-31.
| Last close | $27.13 (2026-10-16) |
|---|---|
| 1-year change | -24.1% |
| Annualized since 2024-03-21 | -7.3% |
| 52-week range | $24.50 – $36.34 |
| Deepest drawdown | -42.7% (2026-07-31) |
| Avg. daily dollar volume (3 months) | $50,216 |
| Daily bars in history | 504 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 1 |
|---|---|
| Shares held | 35,840 ($880,000 reported value) |
| Quarter flows | 0 new, 1 added, 0 trimmed, 2 exited; -29,232 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("BTRN") on the look-back bundles. Top holders of BTRN · All 13F managers
Short interest (2026-10-15)
| Shares short | 7 (+0.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
BTRN short interest history · Unclassified (ETFs, funds, other) sector
BTRN FAQ
How far back does BTRN price history go?
2024-03-21 to 2026-10-16
Is BTRN still trading?
Yes. BTRN is listed and updated every trading day.
What was BTRN's last close?
$27.13 on 2026-10-16, -24.1% over one year
How do I download BTRN historical data in Python?
pip install finzdata, then yf.Ticker("BTRN").history(start="2024-03-21")
Get it in Python
import finzdata as yf
df = yf.Ticker("BTRN").history(start="2024-03-21", interval="1d")
m15 = yf.Ticker("BTRN").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()