FTIIW stock price history

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

SymbolFTIIW-DELISTED
History2022-04-08 to 2026-03-25 (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

FTIIW last closed at $0.00 on 2026-03-25, -97.6% over the past year. Its deepest fall from a prior high in this history was -99.6%, reached on 2026-01-14.

Last close$0.00 (2026-03-25)
1-year change-97.6%
Annualized since 2022-04-08-74.3%
52-week range$0.00 – $0.06
Deepest drawdown-99.6% (2026-01-14)
Avg. daily dollar volume (3 months)$36.30
Daily bars in history310

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

Institutional ownership (13F, 2026Q2)

Managers holding1
Shares held44,259 ($27 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("FTIIW") on the look-back bundles. Top holders of FTIIW · All 13F managers

Short interest (2026-09-30)

Shares short3,434 (+0.0% vs prior report)
Days to cover999.99

FTIIW short interest history · Financial Services sector

FTIIW FAQ

How far back does FTIIW price history go?

2022-04-08 to 2026-03-25

Is FTIIW still trading?

No. FTIIW was delisted; its last bar is 2026-03-25, and FinzData keeps the full history so backtests stay survivorship-free.

What was FTIIW's last close?

$0.00 on 2026-03-25, -97.6% over one year

How do I download FTIIW historical data in Python?

pip install finzdata, then yf.Ticker("FTIIW-DELISTED").history(start="2022-04-08")

Get it in Python

import finzdata as yf
df = yf.Ticker("FTIIW-DELISTED").history(start="2022-04-08", interval="1d")
m15 = yf.Ticker("FTIIW-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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