I built an open-source financial research terminal (SEC data and SQL)
I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…
What it does
In the maker’s words, at launch
I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL query). Doesn't do international stocks or intraday data yet. Its a python flask app + gunicorn, with duckDB for datasets. GitHub: https://github.com/alexanderdolotov/open-terminal Self-hosted: https://terminal.tesseractanalytics.ai Docs and landing page: https://tesseractanalytics.ai
Does the same job
all alternatives →- IMI made a free tool that analyzes SEC filings and posts detailed reports2025 · signalbloom.ai · ▲292
(* within a few minutes of SEC filing) Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings. This was the result of almost a year long effort and hundreds of prototypes :) It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger. e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you! Some examples:…
- 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…
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For the last several years I've been creating a ERP platform, Stockor. While I'm going to continue offering it as a SaaS, I've decided to also open-source it. I'm hopeful that by doing so it will: 1) Grow it into a Wordpress size juggernaut with a plugin for any business process under the sun. 2) Bring me interesting consulting gigs. The open-source site is at stockor.org. There's a demo up at stockor.com/demo as well. Looking forward to hearing HN's thoughts!
- IBI built an AI tool to analyze SEC filings the minute they're released2024 · docdelta.ca · ▲62
Hello everyone, I built this tool on Next/Node to automatically analyze new filings from the SEC and probe the Edgar API for new filings 24/7. We use AI to analyze the filings the second they are released. Free accounts to look at real filings (automatically updated) are available to any who sign up. If you have any questions feel free to ask.
- FFFactor.fyi – use SQL to visualize financial, crypto and econ datasets2022 · factor.fyi · ▲7
Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…
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