INTEW stock price history

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

SymbolINTEW-DELISTED
History2021-12-16 to 2026-04-28 (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

INTEW last closed at $0.00 on 2026-04-28, -98.8% over the past year. Its deepest fall from a prior high in this history was -99.9%, reached on 2024-11-11.

Last close$0.00 (2026-04-28)
1-year change-98.8%
Annualized since 2021-12-16-78.6%
52-week range$0.00 – $0.10
Deepest drawdown-99.9% (2024-11-11)
Avg. daily dollar volume (3 months)$23.24
Daily bars in history405

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

Institutional ownership (13F, 2026Q2)

Managers holding2
Shares held102,730 ($61 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("INTEW") on the look-back bundles. Top holders of INTEW · All 13F managers

Short interest (2026-09-30)

Shares short43 (+0.0% vs prior report)
Days to cover999.99

INTEW short interest history · Technology sector

INTEW FAQ

How far back does INTEW price history go?

2021-12-16 to 2026-04-28

Is INTEW still trading?

No. INTEW was delisted; its last bar is 2026-04-28, and FinzData keeps the full history so backtests stay survivorship-free.

What was INTEW's last close?

$0.00 on 2026-04-28, -98.8% over one year

How do I download INTEW historical data in Python?

pip install finzdata, then yf.Ticker("INTEW-DELISTED").history(start="2021-12-16")

Get it in Python

import finzdata as yf
df = yf.Ticker("INTEW-DELISTED").history(start="2021-12-16", interval="1d")
m15 = yf.Ticker("INTEW-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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