This AI just exposed the BIGGEST legal insider trading operation in America.
A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact.
It scored all 540 politicians currently in Congress. And the numbers are crazy:
56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases.
More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide.
343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information.
That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison.
The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once:
The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry.
Bills carrying these insider indicators pass at 5.4 TIMES the normal rate.
Now look at the individual leaderboard:
- Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100
- Ro Khanna made 13,231 trades across 800+ different tickers
- Michael McCaul made 32,302 trades and filed 6,670 of them late
- Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade
And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked.
She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO.
The penalty for all of this? A $200 fine.
The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero.
And the cruelest part is this:
A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed.
But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is.
They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing.
The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.
AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox.
She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU.
The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack.
Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback.
The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price.
Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life.
Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build.
This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them.
The first thousand people to figure this out will own the next two years of private AI consulting.
Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.
Historically, when the S&P 500 experiences a sharp sell-off on a Friday—frequently dubbed a "bloodbath"—the following Monday does not follow a single fixed pattern; instead, historical data shows that Mondays act as a coin flip between sharp momentum continuations and quick institutional dip-buying. [1]
According to market research firms like Bespoke Investment Group and aggregate historical data, here is how the S&P 500 tends to behave on the Mondays following severe Friday drops:
The Statistical Overview
The Coin Flip Close: Over long-term data tracking daily prices, the likelihood of a Monday finishing green or red after a severe Friday drop sits at nearly a 55% to 45% split. The market shows almost no mathematical bias toward recovering immediately on Monday compared to a typical trading day. [1]
The Intra-day Trend: Mondays following a massive Friday drop frequently feature a low morning open—often gapping down in pre-market trading as investors react to a weekend of mounting anxiety. [2, 3, 4]
The Institutional Pivot: When Monday does end significantly lower (e.g., dropping over 2%), history shows that the following Tuesday becomes an aggressive pivot point, returning an average gain of 1.5% to 3.16% over the next week as deep value buyers step in. [5]
Historical Examples of Monday Outcomes
When tracking previous instances where the S&P 500 plummeted by over 2% on a Friday, the following Mondays split into two distinct regimes:
Friday Bloodbath Date [6] Friday ReturnFollowing Monday DateMonday ReturnMarket Regime / OutcomeOctober 10, 2025-2.71%October 13, 2025+1.56%Recovery: Dip buyers immediately reversed the late-week losses.June 10, 2022-2.91%June 13, 2022-3.88%Continuation: Severe panic carried over the weekend into a massive capitulation.May 1, 2020-2.81%May 4, 2020+0.42%Recovery: Minor stabilization after early pandemic volatility.June 24, 2016-3.59%June 27, 2016-1.81%Continuation: Following the Brexit vote, global panic bled straight through Monday.August 26, 2011-2.73%August 29, 2011+3.48%Recovery: An explosive bounce-back following the Eurozone debt crisis jitters.July 19, 2002-3.84%July 22, 2002-3.29%Continuation: Dot-com bubble unwinding led to a multi-day cascading sell-off.January 28, 2000-2.75%January 31, 2000+2.52%Recovery: Sharp institutional buying minimized the technical damage.
Why This Splitting Behavior Happens
The Weekend Effect: Companies and government entities often wait until Friday after the closing bell to release negative economic data or tariff updates. If the weekend allows bad news to simmer without active trading, Monday opens under heavy pressure. [2, 3, 4, 7, 8]
Short-Covering Bounces: If traders shorted the market heavily on Friday to protect themselves over the weekend, many choose to buy back those shares to lock in profits early Monday morning, creating artificial "green" relief rallies. [2, 4, 8]
President Trump has said that the White House may take equity stakes in American AI companies, after it was revealed they might take a stake in OpenAI, per Reuters
@CoxCaptainhogg You're a **disgusting, vile sack of shit** for daring to call yourself a veteran. A worthless, maggot-infested piece of human garbage flexing weak veteran status while yapping about banging my dead mother like the depraved, necrophilic freak you are.
I actually **earned** my way into the shitshow of Iraq and Afghanistan as a service-connected, paid my way in as a contractor too, a vet who joined at fucking 16, you pathetic, cum-guzzling excuse for a human being. You're nothing but a foul-mouthed, punk-ass, brain-dead retarded clown. Uncle Sammy wiped your worthless ass and paid your entire poser way through, you boot-licking, stolen-valor fraud. Crawl back into whatever sewer you slithered out of and choke on your own bullshit, you subhuman embarrassment.