DRCT stock price history

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

SymbolDRCT-DELISTED
History2022-02-14 to 2026-10-09 (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

DRCT last closed at $0.41 on 2026-10-09, +13.9% over the past year. Its deepest fall from a prior high in this history was -99.9%, reached on 2026-01-09.

Last close$0.41 (2026-10-09)
1-year change+13.9%
Annualized since 2022-02-14-33.3%
52-week range$0.05 – $6.51
Deepest drawdown-99.9% (2026-01-09)
Avg. daily dollar volume (3 months)$308,180
Daily bars in history1,168

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

Institutional ownership (13F, 2026Q2)

Managers holding7
Shares held7,621 ($20,654 reported value)
Quarter flows7 new, 0 added, 0 trimmed, 0 exited; +7,621 shares vs the prior quarter

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

Short interest (2026-09-30)

Shares short2,769 (-97.9% vs prior report)
Days to cover1.00

DRCT short interest history · Communication Services sector

DRCT FAQ

How far back does DRCT price history go?

2022-02-14 to 2026-10-09

Is DRCT still trading?

No. DRCT was delisted; its last bar is 2026-10-09, and FinzData keeps the full history so backtests stay survivorship-free.

What was DRCT's last close?

$0.41 on 2026-10-09, +13.9% over one year

How do I download DRCT historical data in Python?

pip install finzdata, then yf.Ticker("DRCT-DELISTED").history(start="2022-02-14")

Get it in Python

import finzdata as yf
df = yf.Ticker("DRCT-DELISTED").history(start="2022-02-14", interval="1d")
m15 = yf.Ticker("DRCT-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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