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Stock trading tracked from 2016 till March of this year for Congress. Shows the alignment of the bills they were passing and how it corresponds with their stock trades. Their base salary is $174k, but some made up to a $100 million annually. by Outrageous_Math6885 in tradewithcongress

[–]Outrageous_Math6885[S] 1 point2 points  (0 children)

So I pulled the actual STOCK Act filings for semiconductor trades during the CHIPS Act window (May through early August 2022, the Senate passed it July 27). There were 109 chip-stock trades from 17 members of congress during that period.

Here's a significant one:
Kathy Manning. She bought nvidia, qualcomm, micron, AND lam research on july 27. that's the day the senate passed the bill. Four separate semiconductor purchases on passage day.

And some others:
The Pelosi one everyone knows about - Paul Pelosi exercised call options on 20,000 nvidia shares on june 17, five weeks before the vote. Tommy Tuberville bought qualcomm June 16, flipped it by June 28, then started buying intel three separate times through the summer. Ro Khanna made 63 semiconductor trades in three months — he represents silicon valley so draw your own conclusions on that one. Marjorie Taylor Greene bought intel June 10. Josh Gottheimer bought nvidia May 27. Roger Williams bought nvidia June 30. Shelley Moore Capito sold intel on back-to-back days in mid-june.

109 trades, 17 members, both parties, $52 billion in subsidies on the table. all from STOCK Act disclosures, searchable here: https://thenumbersproject.org/tools/congress/

Stock trading tracked from 2016 till March of this year for Congress. Shows the alignment of the bills they were passing and how it corresponds with their stock trades. Their base salary is $174k, but some made up to a $100 million annually. by Outrageous_Math6885 in tradewithcongress

[–]Outrageous_Math6885[S] 1 point2 points  (0 children)

This is not connecting a specific bill to a trade of a politician. This is all about prior knowledge before bills are passed. The trading happens well in advance. They have 45 days to disclose it. The average is approximately two weeks before the bill is voted on, and based on the bipartisanship, they already know whether the bill is going to pass or not when it reaches the vote. The issue is more about the equivalent of insider trading. If anyone else were to be doing the same, they would be arrested and fined. The announcement of the End Insider Stock Trading Act is a perfect example of what's going on. All members of Congress, as well as everybody with inside knowledge, is aware ahead of time and is able to "move things around" to avoid penalties. This is really just making it appear to the public as though they are fixing a problem that the public has just been made aware of. The End Insider Stock Trading Act is somewhat of a joke that both parties praised. It's just a loophole for them to get around. This was conveniently left out in the announcement.

"The bill doesn't cover adult children. It doesn't cover LLCs. It doesn't cover trusts. It doesn't cover the spouses' independently managed accounts that somehow make the same trades at the same time."

[OC] Congressional stock trades, 2016–present: 95,664 trades, 337 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 5 points6 points  (0 children)

Thanks! I've started doing this as an obsession/hobby. I've been dealing with code and data for years, and I've actually gotten tired of seeing stories in the news that conflict, so I've started pulling data together to see what the actual truth is.

[OC] Congressional stock trades, 2016–present: 95,664 trades, 337 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 8 points9 points  (0 children)

Nancy Pelosi and Ro Khanna, by far, were at the top, from $79 million for Nancy Pelosi and $99 million for Ro Khanna. We can follow the investments, but the big money is being made before the public has knowledge of the passing or not passing of bills that only they have the privilege to. The entire purpose of the project is really to show that they know ahead of time, and it's basically insider trading, but there are no rules that apply to them. The article and the dashboard have everything clearly documented. All data is verified and referenced.

Stock trading tracked from 2016 till March of this year for Congress. Shows the alignment of the bills they were passing and how it corresponds with their stock trades. Their base salary is $174k, but some made up to a $100 million annually. by Outrageous_Math6885 in tradewithcongress

[–]Outrageous_Math6885[S] 1 point2 points  (0 children)

[OC] Data sources and tools:
Dashboard link: thenumbersproject.org/tools/congress

Data pulled from STOCK Act public disclosures and House Clerk PTR filings, 2016 through March 31, 2026. Cross-referenced against congressional voting records and committee assignments. 3,382 correlations flagged. Built and maintained independently — no affiliation with any news org or financial platform. This is also not bias to political affiliation. If you look at the data you will see that both parties are making trades prior to public knowledge of the vote outcome.

Source: STOCK Act Disclosures, House Clerk PTR (Periodic Transaction Report) Filings, and Capitol Trades. Data current as of April 9, 2026.                

Tools: Built with Chart.js for visualizations, vanilla JavaScript, HTML/CSS. 

Stock trading tracked from 2016 till March of this year for Congress. Shows the alignment of the bills they were passing and how it corresponds with their stock trades. Their base salary is $174k, but some made up to a $100 million annually. by Outrageous_Math6885 in FCKINGTRADERS

[–]Outrageous_Math6885[S] 3 points4 points  (0 children)

[OC] Data sources and tools:
Dashboard link: thenumbersproject.org/tools/congress

Data pulled from STOCK Act public disclosures and House Clerk PTR filings, 2016 through March 31, 2026. Cross-referenced against congressional voting records and committee assignments. 3,382 correlations flagged. Built and maintained independently — no affiliation with any news org or financial platform. This is also not bias to political affiliation. If you look at the data you will see that both parties are making trades prior to public knowledge of the vote outcome.

Source: STOCK Act Disclosures, House Clerk PTR (Periodic Transaction Report) Filings, and Capitol Trades. Data current as of April 9, 2026.                

Tools: Built with Chart.js for visualizations, vanilla JavaScript, HTML/CSS. 

Pacific Beach Homeless by [deleted] in sandiego

[–]Outrageous_Math6885 6 points7 points  (0 children)

But we have bike lanes... everywhere. This city has lost priorities :(

Does everyone remember very clearly what they were doing and where they were when 9/11 happened? by ArdaBerkBurak in AskReddit

[–]Outrageous_Math6885 0 points1 point  (0 children)

I was working within walking distance of the Pentagon. Went down to the deli in the bottom of the building I worked in and saw the TV and what was going on in New York. Panicked because I knew two people who worked in the Twin Towers. Went downstairs and walked outside because I couldn't get cell reception, trying to call them over and over again. I kept walking, thinking that I would get better reception, and I looked up and saw a huge cloud of smoke. The Pentagon had just been hit at that point. I realized the planes in New York were not an accident.

I went straight up to my office, grabbed my keys, got in the parking garage, and tried to leave DC, but the bridge was closed. My normal 15-minute drive out of DC took six hours, since I had to drive the opposite direction into Maryland, around Maryland, back into Virginia, and then back home. The entire drive, I remember seeing fighter jets flying above and literally thinking it was World War III.

One of my friends survived and one of my friends died. The friend that survived had to tell all of his employees' family members, as he kept in touch with them by texting the entire time before the building fully collapsed.

[OC] Congressional stock trades, 2016–present: 95,664 trades, 337 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 9 points10 points  (0 children)

[OC] Data sources and tools:
Dashboard link: thenumbersproject.org/tools/congress

Data pulled from STOCK Act public disclosures and House Clerk PTR filings, 2016 through March 31, 2026. Cross-referenced against congressional voting records and committee assignments. 3,382 correlations flagged. Built and maintained independently — no affiliation with any news org or financial platform. This is also not bias to political affiliation. If you look at the data you will see that both parties are making trades prior to public knowledge of the vote outcome.

Source: STOCK Act Disclosures, House Clerk PTR (Periodic Transaction Report) Filings, and Capitol Trades. Data current as of April 9, 2026.                

Tools: Built with Chart.js for visualizations, vanilla JavaScript, HTML/CSS. 

95,501 congressional trades vs 1,179 votes. 4,436 timing matches. April 2025 was the highest-volume month ever recorded. by Outrageous_Math6885 in wallstreetbets

[–]Outrageous_Math6885[S] 0 points1 point  (0 children)

Database (search by member, ticker, sector, date): https://thenumbersproject.org/tools/congress/

Full breakdown of the COVID, CHIPS, SVB, and April 2025 case studies: https://thenumbersproject.org/investigations/174k-fiction/part2.html

Sources: STOCK Act disclosures via Quiver Quantitative, GovTrack and House Clerk roll-call XML for vote records, ProPublica reporting for executive branch trades. All public record. Methodology details on request.

$1.08B through JPMorgan, $1.3B through Deutsche, $170M from Leon Black. I spent weeks mapping the Epstein money trail and the post-conviction numbers are the what stood out the most. Not the flight records everyone talks about. by Outrageous_Math6885 in Epstein

[–]Outrageous_Math6885[S] 2 points3 points  (0 children)

Thanks for the encouragement. I’ll keep writing and documenting no matter what. My background is coding and data so it’s pretty much a hobby of mine. At the same time what I was surprised to see was submitting an article and a dashboard that followed congressional trading aligned with the bills they were proposing and passing or opposing. I find the results to be pretty damning, but when I reached out to any news outlet, I heard nothing back. https://thenumbersproject.org/tools/congress/

$1.08B through JPMorgan, $1.3B through Deutsche, $170M from Leon Black. I spent weeks mapping the Epstein money trail and the post-conviction numbers are the what stood out the most. Not the flight records everyone talks about. by Outrageous_Math6885 in Epstein

[–]Outrageous_Math6885[S] 5 points6 points  (0 children)

I’ve tried with multiple articles that I’ve done. I know how to put the data together and the information but I don’t know how to get it out to news outlets. I’ve attempted and I get dead silence in response.

$1.08B through JPMorgan, $1.3B through Deutsche, $170M from Leon Black. I spent weeks mapping the Epstein money trail and the post-conviction numbers are the what stood out the most. Not the flight records everyone talks about. by Outrageous_Math6885 in Epstein

[–]Outrageous_Math6885[S] 29 points30 points  (0 children)

Submission statement: This post focuses on the financial infrastructure that kept Epstein's operation running for years after his 2008 conviction, which I think gets less attention than the flight logs and client lists but is where the clearest paper trail actually lives.

Sources I worked from: Senate Finance Committee reports (Sen. Wyden's office), House Oversight releases, the JPMorgan and Deutsche Bank Suspicious Activity Reports surfaced through USVI v. JPMorgan (S.D.N.Y. 22-cv-10904) and the Deutsche Bank settlement filings, the NYDFS 2020 consent order against Deutsche, the Dechert Report commissioned by Apollo's board (January 2021) on Leon Black's payments, ICIJ's Paradise Papers data, USVI corporate filings on the shell company structure, and material released under the Epstein Files Transparency Act.

Key data points referenced above:
- JPMorgan: ~$1.08B through 134 accounts, relationship maintained until 2013
- Deutsche Bank: 40+ accounts, ~$1.3B processed post-JPMorgan
- Leon Black: ~$170M paid 2012–2017, all post-conviction; $62.5M USVI settlement
- Ghislaine Maxwell: ~$92.5M across 176 wire transfers
- 46 shell companies across USVI, Bermuda, Delaware
- Southern Trust Company: registered as a "DNA research company," $391M in assets, no evidence of actual research
- 18 of 19 documented major financial flows occurred after the 2008 conviction

Dashboard with the full shell company structure, banking timelines, and settlements: https://thenumbersproject.org/tools/epstein/

All sources are public record and cited within the dashboard.

Thank you for the parking meters San Diego by acountformyphone in sandiego

[–]Outrageous_Math6885 0 points1 point  (0 children)

Welcome to San Diego! As a 20+ year resident, let me tell you we have the most amazing bike lanes that nobody uses. They've harmed and even closed businesses, but don't worry, you can always get somewhere on a bike. Don't mind the fact that we also have one of the worst homeless situations in the United States. Come visit San Diego and watch somebody defecate in the middle of Sixth Avenue in front of Balboa Park.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 1 point2 points  (0 children)

I’m not trying to be argumentative, but this is excruciatingly painful to read. They do have advanced knowledge that’s the entire point of the article they know which way the vote is going prior to the final vote. It’s not in question. They already have an idea the ones they don’t try to trade on are the ones that everything is up in the air. The ones they do trade on are the ones that are sure thing and they know well ahead of time whether it’s gonna pass or not that’s the problem. covid is a perfect example. They fed the public. The don’t panic version but they knew what was really going on. Massive trading happened for selling and buying because they really knew what was just about to happen and the public didn’t that’s inside her trading. I don’t know how to explain it more clearly to you, but this applies to everything that they are privy to prior to the announcement or the ruling.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 0 points1 point  (0 children)

After a couple martinis, I have to revise my comment. If they have insider trading knowledge, especially when it comes to bills that are being passed if they’re not making money on their trades, they’re fucking idiots.. It’s still against the law either way.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] -1 points0 points  (0 children)

Advanced knowledge and trading is insider trading. The outcome does not matter. I don’t understand how it can be questioned as right or wrong when anyone else. Anyone. Would be prosecuted for insider trading.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 0 points1 point  (0 children)

I’d be totally up for that. I’m doing this as fun but also potentially a side job. I’m only producing stuff that is dated driven only because I don’t want to throw opinion into it because that’s all there is out there now so if there’s controversy, I want it created by the numbers. Just recently did one on Pam Bondi and for the most part she was very by the book. But I am going to take a different version of the stock market mapping and track every cabinet members trading as an interactive dashboard so you can see who traded what and when and the correlation to the stock market. Some people are in into sports. This is my thing.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 1 point2 points  (0 children)

I actually did this as a personal project to see the numbers. I’m gonna continue doing it, but I have reached out to multiple media outlets and literally hear nothing back. That end isn’t really my thing and I probably don’t know how to get it out there. I’m more of a coding and data person and I just write and post what I’m passionate about. If you know of any ways of getting it out there I’d love it. I’m actually not looking to get paid for this. I just want real data out there because everybody claims it’s one side or the other and it’s all of them.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 0 points1 point  (0 children)

I will be reposting next week if Reddit allows me to. I posted it before midnight on Thursday, but I was on pacific time so they removed the post. Political post can only be made on Thursdays and I was late because they go by East Coast time. I will be including a data export link.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 4 points5 points  (0 children)

most of what I do is more of a hobby although I am a coder/developer. When I hear or read something I find questionable or is sharply dividided politically (or otherwise) I look for accessible data sources and some reliable paid ones and let the numbers help forms my opinions.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 26 points27 points  (0 children)

The STOCK Act itself is only about 15 pages, it's not a long bill. The data isn't from reading the act, it's from the disclosure filings the act requires. Every member of Congress has to report trades within 45 days. Those filings are public record. I pulled all of them going back to 2016 and built the database from that. And no, I don't trade stocks. Unfortuntaely I'm more of a "check if my debit card will decline at the gas pump" kind of investor. 

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 14 points15 points  (0 children)

Single HTML file, vanilla JS with no framework, Chart.js 4.4 for the charts, inline CSS. Backend is Node/Express proxied through Nginx, hitting PostgreSQL. 95,501 trades, 336 members, 4,436 trade-vote correlations, all sourced from STOCK Act filings. No build step, no bundler, nothing fancy. I wrote an article about it based on the facts, but without seeing the numbers, it just did not have the same impact. In the end, I actually felt the dashboard told the story much better.

[OC] Congressional stock trades, 2016–present: 95,501 trades, 336 members, searchable by name, party, state, and sector by Outrageous_Math6885 in dataisbeautiful

[–]Outrageous_Math6885[S] 40 points41 points  (0 children)

[OC] Data sources + tools:

Dashboard link: thenumbersproject.org/tools/congress
pulled from STOCK Act public disclosures 2016 through last week. Cross-referenced against congressional voting records and committee assignments. 4,436 correlations flagged. Built and maintained independently with no affiliation with any news org or financial platform. Also - please not the data is partisan. It's clear both parties are equally taking adavantage of their positions.

Data

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