sdcoffey

All-time opener

Steve here from the OpenAI team–this means a lot! We really hope you enjoy building on it

Hey there! This is Steve here from the OpenAI team–I worked on the Responses API. We have not removed this! It should still work just like before! Here's an example:

https://github.com/openai/openai-python/blob/main/examples/r...

We've been using this in production for several months, and I'm a huge fan. Unopinionated but incredibly helpful. Big ups to the authors!

A classic

This is cool - always wondered if something like this was possible/desirable. What do you see as the ideal use cases for Cognate?

We're mainly looking at publicly-traded US securities, including stocks, ETFs, and crucially, mutual funds. Many sources (looking at you, Polygon) don't publish price data for mutual funds. Haven't heard of MarketQA, will definitely check it out

It is indeed, which is why we stopped after window-shopping Bloomberg and Nasdaq. Seems like it's hard to have cost-effective, high-quality data with and API that's amenable to bulk backfilling.

We have actually looked at Intrinio! Specifically for options data. Again the problem was that the API is not setup for bulk, historical backfills.

Multi-month, wow. Cool to know this exists though, thanks!

Interesting! I'm no longer a student, so I couldn't get access, but it's cool to know that this exists.

Curious if you've used any of these WRDS data sets? Also really interested to know if you've used the postgres interface to this data, and how you liked working with it as opposed to a regular API-like interface. Thanks!

This is pretty easy to do in SQL too!

https://factor.fyi/questions/top-10-aapl-correlating-stocks-...

Thanks! We don't pay for any of our current datasets. Certain types of data we will eventually have to pay for (e.g., deep options data, short interest). We'll eventually onboard some of these as we see interest, but for now we're optimizing for publicly available but disparate datasets.