BYNO stock price history

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

SymbolBYNO-DELISTED
History2022-04-06 to 2026-07-06 (about 4 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

BYNO last closed at $12.94 on 2026-07-06, +6.9% over the past year. Its deepest fall from a prior high in this history was -5.5%, reached on 2025-02-18.

Last close$12.94 (2026-07-06)
1-year change+6.9%
Annualized since 2022-04-06+6.5%
52-week range$12.12 – $12.94
Deepest drawdown-5.5% (2025-02-18)
Avg. daily dollar volume (3 months)$17,521
Daily bars in history475

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

Institutional ownership (13F, 2026Q2)

Managers holding1
Shares held10,000 ($126,000 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("BYNO") on the look-back bundles. Top holders of BYNO · All 13F managers

Short interest (2026-09-30)

Shares short9,132 (+0.0% vs prior report)
Days to cover999.99

BYNO short interest history · Financial Services sector

BYNO FAQ

How far back does BYNO price history go?

2022-04-06 to 2026-07-06

Is BYNO still trading?

No. BYNO was delisted; its last bar is 2026-07-06, and FinzData keeps the full history so backtests stay survivorship-free.

What was BYNO's last close?

$12.94 on 2026-07-06, +6.9% over one year

How do I download BYNO historical data in Python?

pip install finzdata, then yf.Ticker("BYNO-DELISTED").history(start="2022-04-06")

Get it in Python

import finzdata as yf
df = yf.Ticker("BYNO-DELISTED").history(start="2022-04-06", interval="1d")
m15 = yf.Ticker("BYNO-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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