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Stocks Daily IPOs
The US IPO calendar since 2008: offer price range, final issue price, shares and size offered, and the listing date, for every offering that reached the market.
Shape measured at the next refresh of dataset_cards/facts.json. Refreshed monthly.
Why It Matters
First-day returns, the long-run underperformance of new issues, the hot-market cycle and the lock-up expiry all start from the same three facts: the offer price, the listing date and the size. None of them was in the catalogue; Stocks-Daily-Price begins on the first traded day and says nothing about the price the shares were sold at the night before.
date is the listing date, the first session the name trades. Offerings that never listed -- withdrawn, postponed, still pending -- have no such date and are left out.
Load It
pip install --upgrade pwb-toolbox
from pwb_toolbox import datasets as pwb_ds
df = pwb_ds.load_dataset("Stocks-Daily-IPOs")
print(df.iloc[-1, :])
Columns
| Column Name | Description |
|---|---|
| symbol | Stock ticker at listing. |
| date | Listing date, the first traded session. |
| announced_date | Day the offering was announced. |
| issuer_name | Issuer. |
| ipo_status | Vendor status of the offering (history once listed). |
| final_issue_price | Price the shares were sold at. |
| lowest_offer_price / highest_offer_price | The marketed range. |
| min_shares_offered / max_shares_offered | The marketed share range. |
| total_offer_size | Dollars raised at the final price. |
| shares_outstanding | Shares outstanding after the offering. |
| primary_exchange | Listing venue. |
| security_type / security_description | Instrument type and its description. |
| isin | ISIN of the listed security. |
Access
Browsing the card and the schema is open to anyone. Downloading the files needs an approved request, tied to a subscription: what each plan includes. The same subscription covers every dataset in this organisation and the strategy catalogue.
Elsewhere
- The strategy catalogue
pwb-toolbox, the loader used in the snippet above- Every dataset in this organisation
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