MLDR stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | MLDR |
|---|---|
| History | 2025-06-02 to 2026-10-29 (about 1 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
MLDR last closed at $47.38 on 2026-10-29, -4.9% over the past year. Its deepest fall from a prior high in this history was -7.2%, reached on 2026-09-30.
| Last close | $47.38 (2026-10-29) |
|---|---|
| 1-year change | -4.9% |
| Annualized since 2025-06-02 | -1.9% |
| 52-week range | $46.65 – $50.28 |
| Deepest drawdown | -7.2% (2026-09-30) |
| Avg. daily dollar volume (3 months) | $44,801 |
| Daily bars in history | 248 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 3 |
|---|---|
| Shares held | 15,249 ($742,544 reported value) |
| Quarter flows | 1 new, 1 added, 1 trimmed, 2 exited; -9,685 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("MLDR") on the look-back bundles. Top holders of MLDR · All 13F managers
Short interest (2026-10-15)
| Shares short | 637 (+0.6% vs prior report) |
|---|---|
| Days to cover | 28.95 |
MLDR short interest history · Unclassified (ETFs, funds, other) sector
MLDR FAQ
How far back does MLDR price history go?
2025-06-02 to 2026-10-29
Is MLDR still trading?
Yes. MLDR is listed and updated every trading day.
What was MLDR's last close?
$47.38 on 2026-10-29, -4.9% over one year
How do I download MLDR historical data in Python?
pip install finzdata, then yf.Ticker("MLDR").history(start="2025-06-02")
Get it in Python
import finzdata as yf
df = yf.Ticker("MLDR").history(start="2025-06-02", interval="1d")
m15 = yf.Ticker("MLDR").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()