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tessbi
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Show HN: I built an open-source financial research terminal (SEC data and SQL)
(terminal.tesseractanalytics.ai)
5 points
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tessbi
3mo ago
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0 comments
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tessbi
4mo ago
thank you for your feedback! I thought I stress tested my server, but it wasn't handling the traffic load from this HN post, so the app stopped responding! Resizing the VM now.
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tessbi
4mo ago
thank you for your feedback! I thought I stress tested my server, but it wasn't handling the traffic load from this HN post, so the app stopped responding! Resizing the VM now.
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tessbi
4mo ago
Hi everyone, thank you for your feedback! I thought I stress tested my server, but it wasn't handling the traffic load from this HN post, so the app stopped responding! Resizing the VM now. I wish it could run fully locally in browser.
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Show HN: Open Terminal – A Bloomberg Style App for Research
(tesseractanalytics.ai)
10 points
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tessbi
4mo ago
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11 comments
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tessbi
2y ago
This is excellent! Good work!
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tessbi
3y ago
Very cool!
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tessbi
3y ago
Thanks for the tip! I will check it out!
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tessbi
3y ago
I can add a button for that.
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tessbi
3y ago
That would be in the future for sure, US data is just much easier to work with right now.
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tessbi
3y ago
Thank you! Yes, but I am using their monthly dumps for now, because it was easier for data warehousing. I will put it in my plans to pull data daily incrementally in the future as a next phase.
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tessbi
3y ago
Well the quarterly one is much smaller then say, the daily one. Select count(*) from superset.company_financials_quarterly; = 458,573. I have >6000 companies, with over 80 features/columns. I cannot post daily data through SuperS
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tessbi
3y ago
Yes, but they do not necessarily offer it as a dump right away. So I am still relying on monthly dumps.
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tessbi
3y ago
I could try playing around with Grafana as well, thanks for the tip!
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tessbi
3y ago
Yeah, I suppose I can remove that feature, I just thought if people wanted to add comments or blog on my tutorials. Just message me in Contact Us, I will remove you from WordPress.
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tessbi
3y ago
Got it! I removed the phone number as necessary.
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tessbi
3y ago
Thank you for the feedback! I dropped the phone number as being necessary for registration. If you still have issues registering, please email me: alex@tesseractanalytics.ai
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tessbi
3y ago
Oh no!!! I am so sorry to hear this, I will work on fixing this. If you are still interested in trying out the data, please email me: alex@tesseractanalytics.ai. I can register you manually.
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tessbi
3y ago
I am deeply offended that you do not trust me, a stranger on the internet! I am hearing that many people feel that I am asking for too much data. I removed the phone number being necessary for registration. But I did still want to keep th
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tessbi
3y ago
Thank you so much! This has been my project for the past 3 years.
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tessbi
3y ago
I see. Well its not as slick as paid data visualization tools for sure.
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tessbi
3y ago
I am not sure what you mean by 'trust it'? As in, does it display the data as it should? It is difficult to find free open source data visualization tools that can run in the browser, that anybody could log-in and use right away.
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tessbi
3y ago
For most questions, please look through the tutorial videos and documentation that I created! :) https://tesseractanalytics.ai/data-tutorials/ https://tesseractanalytics.ai/finance-data-quarterly-data-d
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tessbi
3y ago
The data is refreshed nightly for stocks. And monthly from SEC once it is available to download. There is no guaranteed data delivery SLA that I know about from SEC, so I get it monthly once it arrives. I talk more about this in detail on
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tessbi
3y ago
There is a registration form that automatically creates you SuperSet account. https://tesseractanalytics.ai/financial-database-registratio... It also creates a Wordpress account for you if you wanted to blog about some dis
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Show HN: Database for analyzing US companies, visualize using Apache SuperSet
(tesseractanalytics.ai)
113 points
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tessbi
3y ago
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44 comments
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tessbi
3y ago
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