LIAM stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | LIAM |
|---|---|
| History | 2024-11-01 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
LIAM last closed at $216.36 on 2026-10-07, -11.2% over the past year. Its deepest fall from a prior high in this history was -13.1%, reached on 2026-10-07.
| Last close | $216.36 (2026-10-07) |
|---|---|
| 1-year change | -11.2% |
| Annualized since 2024-11-01 | +231.9% |
| 52-week range | $216.36 – $248.61 |
| Deepest drawdown | -13.1% (2026-10-07) |
| Avg. daily dollar volume (3 months) | $23,642 |
| Daily bars in history | 280 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 20,911 ($4.9m reported value) |
| Quarter flows | 0 new, 1 added, 0 trimmed, 0 exited; +10,033 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("LIAM") on the look-back bundles. Top holders of LIAM · All 13F managers
Short interest (2026-10-15)
| Shares short | 764 (+7.3% vs prior report) |
|---|---|
| Days to cover | 13.17 |
LIAM short interest history · Unclassified (ETFs, funds, other) sector
LIAM FAQ
How far back does LIAM price history go?
2024-11-01 to 2026-10-07
Is LIAM still trading?
Yes. LIAM is listed and updated every trading day.
What was LIAM's last close?
$216.36 on 2026-10-07, -11.2% over one year
How do I download LIAM historical data in Python?
pip install finzdata, then yf.Ticker("LIAM").history(start="2024-11-01")
Get it in Python
import finzdata as yf
df = yf.Ticker("LIAM").history(start="2024-11-01", interval="1d")
m15 = yf.Ticker("LIAM").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()