PUCKW stock price history

STOCKDelisted1, 5, 15, 30-minute, hourly & daily bars

SymbolPUCKW-DELISTED
History2021-03-26 to 2026-09-21 (about 5 years)
Bar sizes1-minute, 5-minute, 15-minute, 30-minute, hourly and daily
AdjustmentsUnadjusted, split-adjusted or split-and-dividend-adjusted, chosen on read
SurvivorshipDelisted: kept in full, so backtests see the whole history
Free tierLast 12 months of daily bars

Price history at a glance

PUCKW last closed at $0.00 on 2026-09-21, -100.0% over the past year and -100.0% over five years. Its deepest fall from a prior high in this history was -100.0%, reached on 2026-05-28.

Last close$0.00 (2026-09-21)
1-year change-100.0%
5-year change-100.0%
Annualized since 2021-03-26-91.1%
52-week range$0.00 – $0.01
Deepest drawdown-100.0% (2026-05-28)
Avg. daily dollar volume (3 months)$0.04
Daily bars in history800

Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.

Institutional ownership (13F, 2026Q2)

Managers holding1
Shares held998,750 ($1 reported value)
Quarter flows0 new, 0 added, 0 trimmed, 0 exited; +0 shares vs the prior quarter

From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("PUCKW") on the look-back bundles. Top holders of PUCKW · All 13F managers

Short interest (2026-09-30)

Shares short1,287 (+0.0% vs prior report)
Days to cover1.00

PUCKW short interest history · Financial Services sector

PUCKW FAQ

How far back does PUCKW price history go?

2021-03-26 to 2026-09-21

Is PUCKW still trading?

No. PUCKW was delisted; its last bar is 2026-09-21, and FinzData keeps the full history so backtests stay survivorship-free.

What was PUCKW's last close?

$0.00 on 2026-09-21, -100.0% over one year

How do I download PUCKW historical data in Python?

pip install finzdata, then yf.Ticker("PUCKW-DELISTED").history(start="2021-03-26")

Get it in Python

import finzdata as yf
df = yf.Ticker("PUCKW-DELISTED").history(start="2021-03-26", interval="1d")
m15 = yf.Ticker("PUCKW-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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