CDEI stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | CDEI |
|---|---|
| History | 2023-02-01 to 2026-10-23 (about 3 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
CDEI last closed at $93.77 on 2026-10-23, +17.1% over the past year. Its deepest fall from a prior high in this history was -19.7%, reached on 2025-04-08.
| Last close | $93.77 (2026-10-23) |
|---|---|
| 1-year change | +17.1% |
| Annualized since 2023-02-01 | +17.5% |
| 52-week range | $75.45 – $95.71 |
| Deepest drawdown | -19.7% (2025-04-08) |
| Avg. daily dollar volume (3 months) | $98,902 |
| Daily bars in history | 670 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 7 |
|---|---|
| Shares held | 45,038 ($4.1m reported value) |
| Quarter flows | 1 new, 2 added, 2 trimmed, 2 exited; -4,342 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("CDEI") on the look-back bundles. Top holders of CDEI · All 13F managers
Short interest (2026-10-15)
| Shares short | 571 (+56.9% vs prior report) |
|---|---|
| Days to cover | 1.00 |
CDEI short interest history · Unclassified (ETFs, funds, other) sector
CDEI FAQ
How far back does CDEI price history go?
2023-02-01 to 2026-10-23
Is CDEI still trading?
Yes. CDEI is listed and updated every trading day.
What was CDEI's last close?
$93.77 on 2026-10-23, +17.1% over one year
How do I download CDEI historical data in Python?
pip install finzdata, then yf.Ticker("CDEI").history(start="2023-02-01")
Get it in Python
import finzdata as yf
df = yf.Ticker("CDEI").history(start="2023-02-01", interval="1d")
m15 = yf.Ticker("CDEI").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()