Anonyo Noor

Here is the [relevant code](https://github.com/leftmove/pinestreetlocal/blob/development/routers/lib/web.py). ``` def scrape_txt(cik, filing, directory): pass def scrape_html(cik, filing, directory, empty=False): data = api.sec_directory_search(cik, directory) stock_soup = BeautifulSoup(data, "lxml") stock_table = stock_soup.find_all("table")[3] stock_fields = stock_table.find_all("tr")[1:3]...

It's been a month since I assigned @ahiddenproxy, and there has not yet been any code committed. Therefore, I will be unassigning them. This issue is up for grabs. @ahiddenproxy...

@chickenleaf @parthmshah1302 @jass024 Sorry for the late response, guys. I'll assign all three of you for now, and I encourage you all to collaborate and discuss the issue here, or...

@chickenleaf I tried regex myself, but that data seems far too inconsistent. It might be worth a shot though, since I am a regex amateur. The closest I got was...

I have just realized that the relevant code I linked above is no longer valid. Here is the [new link](https://github.com/leftmove/wallstreetlocal/blob/main/backend/routers/lib/web.py#L286) and examples of current querying methods. ``` # What this...

@chickenleaf Sorry to dissapoint, but I didn't get far. Pandas needs a consistent layout; if you can achieve one, it's fairly easy to get structured data (see [this StackOverflow question](https://stackoverflow.com/questions/59321394/how-do-i-convert-a-text-table-to-a-pandas-dataframe),...

For me, this was an issue with the App Store version of Tailscale. By reinstalling with the DMG given on the [website](https://tailscale.com/download), login, while it was unusually slow, did work.

Always open to contributions in the form of better design! Here are some places you can get started to change this/ - [The entire stocks analysis tab](https://github.com/leftmove/wallstreetlocal/tree/main/frontend/components/Index) - [Specifically the...

Just a quick note since this issue has been open for almost 10 days. Some of the React logic mixed with the CSS can be hard to interpret - especially...

They are separate because the provide different functionality. For the headers on the top, the function to "activate" the property is to simply turn a 'true' value 'false' for all...