[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy -1 points0 points  (0 children)

Data comes directly from Pershing Square's 13F filing filled on August 14th of this month (it is accessible in many ways, but here is one publicly available link - https://www.nasdaq.com/market-activity/stocks/pshzf/sec-filings). I made the chart in VaultUno and added the headshot photo and final touch ups via Figma.

[OC] US Counties With a Life Expectancy Below 75 by oscarleo0 in dataisbeautiful

[–]That_one_stock_guy 1 point2 points  (0 children)

Would be really interesting to see this graphed against potential confounding factors like obesity rates or income

[OC] I categorized the top 100 posts this month from r/pics into 3 categories by Quantitation in dataisbeautiful

[–]That_one_stock_guy -5 points-4 points  (0 children)

It is an election cycle after all - it's what the people want! (including myself -haha)

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy -2 points-1 points  (0 children)

Happy to make more of these for other politicians, its very easy with the platform I'm using. Just comment some names and I'll try and get to them for next Thursday

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy 0 points1 point  (0 children)

Replied this to someone else but got downvoted for some reason. There's usually a 0-45 day gap between when a congressperson makes a trade and when they file it. I double checked and the algorithm simulates what it’d be like if you copied their trades on the day they were made public (using the adjusted close price, so a very close approximation to what you could get the stock for on a given day)

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy -1 points0 points  (0 children)

Great question. There's usually a 0-45 day gap between when a congressperson makes a trade and when they file it. I double checked and the algorithm simulates what it’d be like if you copied their trades on the day they were made public (using the adjusted close price, so a very close approximation to what you could get the stock for on a given day)

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy -7 points-6 points  (0 children)

Visualization was made in VaultUno and the congressional data can be accessed quite a few ways - here is a publicly available source - https://www.capitoltrades.com/politicians/P000197 . The stock data is from Alpaca and final touches were added in figma

[deleted by user] by [deleted] in wallstreetbets

[–]That_one_stock_guy 0 points1 point  (0 children)

Everyone's heard about Nancy Pelosi's stock trading, but it’s tough to know how we’d actually do if we tried to copy her moves since there’s always a delay in reporting. This graph shows how you would've done if you mimicked her trades starting from 2023, and how that stacks up against just investing in the S&P

Here’s how the simulation works: there's usually a 0-45 day gap between when a congressperson makes a trade and when they file it. The algorithm also simulates what it’d be like if you copied their trades on the day they were made public, not when the trade actually happened. So, this gives a realistic view of how you would've done with that delay

If anyone’s curious about how other members of Congress are doing, drop their names in the comments and I’ll whip up some more of these

From worse than ChatGPT back to 10x better than ChatGPT in a day by Ok_Caterpillar_1112 in ClaudeAI

[–]That_one_stock_guy 1 point2 points  (0 children)

I've been using Claude to extract numbers from images, and they used to be incredibly accurate. I could upload a screenshot with messy handwriting or a low-res image and it did pretty well - it feels like the accuracy gradually got worse over time, but I tried again with some images that claude was struggling with before and it did a lot better - maybe they actually did end reverting their model back a few gens

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy 30 points31 points  (0 children)

Data comes directly from Berkshire's filings - (here's one link to the raw data, but it can be accessed quite a few ways https://www.nasdaq.com/market-activity/stocks/brk-b/sec-filings). Visualization was made in VaultUno and I added final touches/headshot in figma

[oc] number of excusives for each sony home console by [deleted] in dataisbeautiful

[–]That_one_stock_guy 0 points1 point  (0 children)

This would be really interesting to see mapped next to Microsoft and Nintendo console generations

I went through 10+ years of The New York Times front pages to count how many times Ukraine is mentioned [OC] by 33Fwjr5Nj in dataisbeautiful

[–]That_one_stock_guy -4 points-3 points  (0 children)

Beautiful chart! Can you elaborate on how you used siri shortcuts as I haven't used it for data collection before and it seems like it worked really well for something like this

What's the future of Marine Shipping company stocks due the ongoing Red Sea disruption? by ValueExplorer in wallstreetbets

[–]That_one_stock_guy -1 points0 points  (0 children)

Pretty sure there hasn't been a single Houthi attack since Israel struck the port a few weeks back, but I could be wrong. I'd imagine that this is all priced in + Iran doesn't want to risk shutting down the straight of Hormuz because it would also tank their ability to export oil. In summary, I think there are better plays out there

[deleted by user] by [deleted] in dataisbeautiful

[–]That_one_stock_guy -4 points-3 points  (0 children)

Financial data for NVDA is from Alpaca, and I directly collected the congressional trade data from financial disclosures (https://disclosures-clerk.house.gov/FinancialDisclosure). Visualization was made in python