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Database for analyzing US companies, visualize using Apache SuperSet

Show HN: Open Terminal – A Bloomberg Style App for Research

Database for analyzing US companies, visualize using Apache SuperSet is a business in show hn launch.

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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 development locally on my home Ubuntu server that I built 5 years ago. I bought 4TB of M2 disks for best database performanc

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

It is recorded at the Show HN launch stage.

SectorShow HN launch
StageShow HN launch

Website: tesseractanalytics.ai

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