LIAE stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | LIAE |
|---|---|
| History | 2024-09-17 to 2026-10-07 (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
LIAE last closed at $192.27 on 2026-10-07, -10.4% over the past year. Its deepest fall from a prior high in this history was -14.4%, reached on 2026-10-07.
| Last close | $192.27 (2026-10-07) |
|---|---|
| 1-year change | -10.4% |
| Annualized since 2024-09-17 | +214.2% |
| 52-week range | $192.27 – $217.94 |
| Deepest drawdown | -14.4% (2026-10-07) |
| Avg. daily dollar volume (3 months) | $6,640 |
| Daily bars in history | 247 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 4,006 ($833,103 reported value) |
| Quarter flows | 1 new, 1 added, 0 trimmed, 0 exited; +1,394 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("LIAE") on the look-back bundles. Top holders of LIAE · All 13F managers
Short interest (2026-10-15)
| Shares short | 3 (-25.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
LIAE short interest history · Unclassified (ETFs, funds, other) sector
LIAE FAQ
How far back does LIAE price history go?
2024-09-17 to 2026-10-07
Is LIAE still trading?
Yes. LIAE is listed and updated every trading day.
What was LIAE's last close?
$192.27 on 2026-10-07, -10.4% over one year
How do I download LIAE historical data in Python?
pip install finzdata, then yf.Ticker("LIAE").history(start="2024-09-17")
Get it in Python
import finzdata as yf
df = yf.Ticker("LIAE").history(start="2024-09-17", interval="1d")
m15 = yf.Ticker("LIAE").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()