Intraday Adjustment (splits,dividends) in 2024

[cruisecontrol]

We're onboarding users for our corporate actions dataset which includes split events - info here.

$3500/mo for splits and dividends is crazy. The data isn't that valuable and you can mostly get it for free by web scraping various sites.
I'd pay something for a feed that's more convenient, more timely and more reliable than scraping, but probably not more than $50.

 

[d08]

$3500/mo for splits and dividends is crazy. The data isn't that valuable and you can mostly get it for free by web scraping various sites.
I'd pay something for a feed that's more convenient, more timely and more reliable than scraping, but probably not more than $50.

Absolutely agree. That's so little data and it's not like it's very exclusive.

 

[Databento]

$3500/mo for splits and dividends is crazy. The data isn't that valuable and you can mostly get it for free by web scraping various sites.
I'd pay something for a feed that's more convenient, more timely and more reliable than scraping, but probably not more than $50.

Absolutely agree. That's so little data and it's not like it's very exclusive.

We have no plans in the short term to release a solution that's priced at the <$50 price range.

But just for future reference or your curiosity, there are a few key reasons why users are comfortable with that pricing for our dataset, roughly in descending order of importance:

1. This has point-in-time history, meaning you'll see every time the dividend forecast was adjusted in the past and even for delisted symbols, and not just the latest value announced, most recent final value, dividend yield, or non-PIT past final values of current listed symbols that you'll be able to scrape easily from websites.
2. Our solution includes many other crucial event types and not splits and dividends only. e.g. Repurchases and buybacks, upcoming listings, and listing continuity events like mergers, demergers, and acquisitions.
3. It includes 215 exchanges. I did a quick search and was only able to find easily-scrapable sources for dividends on North American venues like NYSE/Arca/AMEX/TMX, but not larger non-US venues especially in BRICS (SSE/SZSE, MOEX, NSE/BSE, B3, etc.).
4. Most of our customers are institutions, so it's important that they're getting licensing rights to the data and derived works.
5. Legality of scraping and point 4 aside, it's quite an inconvenience to scrape so many types of events for many tickers and venues at once? For example, if I want to scrape dividends for TSE stocks like Toray (3402.T, not its GDRs), I can get the last 5 years from a decent site like Morningstar, but I would need to iterate through ticker-by-ticker while respecting hidden rate limits? Moreover, their private API has survivorship bias so you'd still need a good symbology source. And say you want to extend your scraper to ASX, their API is opaque about currency denomination so e.g. to get BHP you need to manually maintain that?
6. It also provides upcoming or forecast events up to 2 months ahead, not many scrapable sites do that well, maybe Nasdaq and Morningstar.
   
7. You're paying for a lot of convenience features, e.g. symbology; flags to quickly distinguish between special and regular dividends that other higher-priced of corporate actions like Bloomberg and IHS Markit provide.

FWIW, one of our original API designers, Zhiyu, was the main developer of Bloomberg Corporate Actions V2 that's one of the de facto gold standards of corporate actions data today, and it's our every intention to build a superior product.