LFDR stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | LFDR |
|---|---|
| History | 2024-12-18 to 2026-09-25 (about 2 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
LFDR last closed at $171.59 on 2026-09-25, -10.6% over the past year. Its deepest fall from a prior high in this history was -13.1%, reached on 2026-09-25.
| Last close | $171.59 (2026-09-25) |
|---|---|
| 1-year change | -10.6% |
| Annualized since 2024-12-18 | +247.9% |
| 52-week range | $171.59 – $197.48 |
| Deepest drawdown | -13.1% (2026-09-25) |
| Avg. daily dollar volume (3 months) | $3,303 |
| Daily bars in history | 384 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 2 |
|---|---|
| Shares held | 2,959 ($549,651 reported value) |
| Quarter flows | 1 new, 0 added, 0 trimmed, 0 exited; +1,141 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("LFDR") on the look-back bundles. Top holders of LFDR · All 13F managers
Short interest (2026-10-15)
| Shares short | 43 (-46.2% vs prior report) |
|---|---|
| Days to cover | 3.58 |
LFDR short interest history · Unclassified (ETFs, funds, other) sector
LFDR FAQ
How far back does LFDR price history go?
2024-12-18 to 2026-09-25
Is LFDR still trading?
Yes. LFDR is listed and updated every trading day.
What was LFDR's last close?
$171.59 on 2026-09-25, -10.6% over one year
How do I download LFDR historical data in Python?
pip install finzdata, then yf.Ticker("LFDR").history(start="2024-12-18")
Get it in Python
import finzdata as yf
df = yf.Ticker("LFDR").history(start="2024-12-18", interval="1d")
m15 = yf.Ticker("LFDR").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()