REFA stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | REFA |
|---|---|
| History | 2017-07-17 to 2026-10-14 (about 9 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
REFA last closed at $22.75 on 2026-10-14, -9.9% over the past year and -9.9% over five years. Its deepest fall from a prior high in this history was -31.9%, reached on 2026-03-20.
| Last close | $22.75 (2026-10-14) |
|---|---|
| 1-year change | -9.9% |
| 5-year change | -9.9% |
| Annualized since 2017-07-17 | -1.3% |
| 52-week range | $20.30 – $23.85 |
| Deepest drawdown | -31.9% (2026-03-20) |
| Avg. daily dollar volume (3 months) | $8,502 |
| Daily bars in history | 547 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 6 |
|---|---|
| Shares held | 247,072 ($5.6m reported value) |
| Quarter flows | 1 new, 0 added, 1 trimmed, 0 exited; +7,970 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("REFA") on the look-back bundles. Top holders of REFA · All 13F managers
Short interest (2026-10-15)
| Shares short | 535 (+104.2% vs prior report) |
|---|---|
| Days to cover | 3.50 |
REFA short interest history · Unclassified (ETFs, funds, other) sector
REFA FAQ
How far back does REFA price history go?
2017-07-17 to 2026-10-14
Is REFA still trading?
Yes. REFA is listed and updated every trading day.
What was REFA's last close?
$22.75 on 2026-10-14, -9.9% over one year
How do I download REFA historical data in Python?
pip install finzdata, then yf.Ticker("REFA").history(start="2017-07-17")
Get it in Python
import finzdata as yf
df = yf.Ticker("REFA").history(start="2017-07-17", interval="1d")
m15 = yf.Ticker("REFA").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()