Directly query 100M+ raw records of cleaned, refreshed financial data
There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data…
What it does
In the maker’s words, at launch
There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data is free, and we plan to (in the future) find ways to cover our costs by charging for folks who want to run their queries faster (e.g. by running their queries on separate compute clusters) or by providing custom integration to fit their data needs. Please take a look, and would please share any feedback with us here!
Does the same job
all alternatives →- DFDatabase for analyzing US companies, visualize using Apache SuperSet2023 · tesseractanalytics.ai · ▲113
My main motivation was that I wanted to be able to drill down and filter across all the available stocks, look at the data for myself, and narrow down on the stocks I am interested based on my own sets of criteria, and make data-driven analysis for my personal investment strategies. I used PostgreSQL as the backend database for ELT data pipelines, and used Citus Data cstore_fdw for columnar compression for the final dataset. All financial data is coming from SEC Edgar, https://www.sec.gov/developer. I used Python for downloading most of the data. I also run the data load…

- PUPennyWhale – Use natural language to search for any financial data2014 · pennywhale.com · ▲91

- IJInvestorsexchange.jl – parse trade-level stock market data in Julia2022 · github.com · ▲136
Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…

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Hey HN, I've been working on https://pornpen.ai, a site for generating adult images. Please only visit the site if you are 18+ and willing to look at NSFW images. This site is an experiment using newer text-to-image models. I explicitly removed the ability to specify custom text to avoid harmful imagery from being generated. New tags will be added once the prompt-engineering algorithm is fine-tuned further. If the servers are overloaded, take a look at the feed and search pages to look through past results. For comments/suggestions/feedback please visit…
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