QCLR stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | QCLR |
|---|---|
| History | 2021-08-26 to 2026-10-16 (about 5 years) |
| Bar sizes | 1-minute, 5-minute, 15-minute, 30-minute, hourly and daily |
| Adjustments | Unadjusted, split-adjusted or split-and-dividend-adjusted, chosen on read |
| Survivorship | Included in the survivorship-free universe |
| Free tier | Last 12 months of daily bars |
Price history at a glance
QCLR last closed at $28.36 on 2026-10-16, -12.0% over the past year and +13.7% over five years. Its deepest fall from a prior high in this history was -23.2%, reached on 2023-01-05.
| Last close | $28.36 (2026-10-16) |
|---|---|
| 1-year change | -12.0% |
| 5-year change | +13.7% |
| Annualized since 2021-08-26 | +2.3% |
| 52-week range | $26.10 – $33.30 |
| Deepest drawdown | -23.2% (2023-01-05) |
| Avg. daily dollar volume (3 months) | $42,370 |
| Daily bars in history | 1,208 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 6 |
|---|---|
| Shares held | 38,801 ($1.1m reported value) |
| Quarter flows | 1 new, 3 added, 0 trimmed, 3 exited; -15,976 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("QCLR") on the look-back bundles. Top holders of QCLR · All 13F managers
Short interest (2026-10-15)
| Shares short | 276 (-35.7% vs prior report) |
|---|---|
| Days to cover | 1.00 |
QCLR short interest history · Unclassified (ETFs, funds, other) sector
QCLR FAQ
How far back does QCLR price history go?
2021-08-26 to 2026-10-16
Is QCLR still trading?
Yes. QCLR is listed and updated every trading day.
What was QCLR's last close?
$28.36 on 2026-10-16, -12.0% over one year
How do I download QCLR historical data in Python?
pip install finzdata, then yf.Ticker("QCLR").history(start="2021-08-26")
Get it in Python
import finzdata as yf
df = yf.Ticker("QCLR").history(start="2021-08-26", interval="1d")
m15 = yf.Ticker("QCLR").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()