'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

marsbitPublié le 2026-05-18Dernière mise à jour le 2026-05-18

Résumé

Summary: Donald Trump's First Quarter stock trades, totaling 3,642 transactions, have been disclosed. While the White House maintains the trades were managed by an advisor and complied with disclosure laws, they reveal a portfolio heavily aligned with his policy agenda. The trades show a rotation away from major tech stocks like Microsoft, Amazon, and Meta, and into semiconductor and AI hardware companies such as NVIDIA, AMD, Broadcom, Dell, and Intel. Notably, Trump's account purchased Dell stock before he publicly praised the company, after which its stock rose. The Dell family also pledged funds to a Trump-affiliated policy project. A critical case is Intel. The Trump administration converted $8.9 billion in CHIPS Act subsidies into a 9.9% equity stake, making the U.S. government Intel's largest shareholder. Months later, Trump's personal account also bought Intel stock. This intertwines national industrial policy with potential personal financial interest. Unlike typical insider trading concerns, this situation creates a "closed loop": policy decisions (e.g., subsidies, tariffs, crypto regulation) can boost the value of his holdings, and those holdings may, in turn, influence future policy directions. This blending of presidential power and personal portfolio, while legally disclosed, raises profound questions about conflicts of interest that current rules do not address.

While dealing with the Iran war, placing 3,642 orders in a US stock account.

This is Trump's Q1.

At the same time, he was also handling tariffs, negotiating trade deals, and signing executive orders. Last Thursday, a 113-page document was publicly posted on the US Office of Government Ethics website. A handwritten note was on the cover, stating the filer had paid a late fee. The world's most scrutinized transaction disclosure was finally released.

In the same week, the US Congress was advancing bills to ban officials from stock trading. According to Axios, related proposals have garnered support from over 120 lawmakers, with versions in both the Senate and the House, and public support polls exceeding 70%.

But the biggest loophole in these bills is that they don't cover the president.

The White House response is also familiar. The president's assets are managed by his children, trades are executed by account managers, fully compliant with all requirements of the STOCK Act, and no conflicts of interest exist. This statement has been repeated many times over the past year. Every time new details emerge, it's recited again. The repetition itself has become a form of information.

A person who can influence tariffs, trade, industrial subsidies, crypto regulation, and market sentiment, while retaining a massive US stock portfolio.

The disclosure document says the trades are compliant. What the market really wants to see is what he actually bought, how much he made, and whether these stocks are moving in the same direction as his policies.

Money Moving Out of Big Tech, Heading Towards Policy-Proximate Areas

Federal disclosure rules only require reporting amount ranges, not exact prices or actual profits/losses.

After page-by-page verification of Trump's scanned document by Benzinga, estimates show NVIDIA purchases of approximately $2.4 million to $6.6 million, Microsoft about $2.4 million to $8.1 million, Amazon about $2.5 million to $8.3 million, and Oracle about $2.2 million to $10.6 million.

For Big Tech, it was a different set of actions.

The largest sell orders were in Microsoft, Amazon, and Meta, with single transactions reaching up to $25 million. For the same batch of companies, holdings were present in the first part of Q1, sold off in the latter part, with buys and sells alternating in the statements. Money moved out of Big Tech and went into the semiconductor and AI hardware supply chain.

NVIDIA, AMD, Broadcom, Dell, and Intel were the most frequently appearing names in this line. Also Coinbase, Robinhood, SoFi. The timing of these positions coincided with the window of federal Bitcoin reserve discussions and the successive announcements of the 'Trump Account' retirement plan.

According to Euronews statistics, if the holdings were maintained until the disclosure date, paper gains exceeding 100% included AMD, Intel, Marvell, SanDisk, Seagate, etc.

The highest paper gains were in those that had fallen the most and were closest to policy.

In this set of trades, Big Tech remains the core holdings. Microsoft has enterprise software and cloud services, Amazon has cloud computing and advertising, Meta has advertising cash flow and AI recommendation efficiency, Oracle has databases and cloud infrastructure. They are the most convenient names when US market funds flow back into risk assets.

The growth is in the hardware chain.

NVIDIA is the center of GPU supply, AMD is the second option, Broadcom makes custom chips and datacenter networking, Dell delivers AI server whole machines. Every additional GPU cloud providers buy, companies on this chain get one more order. Big Tech money bets on the valuation logic of platform companies, hardware chain money bets on the first ones to get paid when AI capital expenditures materialize.

In comparison, Dell is the cleanest timeline case here.

February 10, 2026, the Trump account opened a position in Dell, amount range $1 million to $5 million. May 8, Trump publicly praised Dell's hardware products at a White House event, Dell rose about 12% that day. Six days later, the transaction disclosure came out.

On the same line, there's another background. The Dell family had previously pledged $6.25 billion to the 'Trump Account' retirement plan. Each link, viewed separately, is legal, confirmed by the STOCK Act.

And, no one is under investigation.

This is also what makes the Trump account different from ordinary politician trades. For ordinary officials' stock disclosures, readers look to see if they anticipated a policy direction. Trump's disclosure adds another layer. He's not just placing bets from the sidelines; his public activities, policy initiatives, and industry relationships themselves become part of market pricing.

The Dell timeline is short and complete.

Account buys first, White House speaks later, company stock rises that day, family funds then enter Trump policy projects. It doesn't need to prove any link illegal to be sufficient for the market to treat it as a sample of politician trading.

Intel Bought Into an 'American State-Owned Enterprise'

There is one trade in the US stock portfolio not in Trump's personal account.

In August 2025, the CHIPS and Science Act still had $5.7 billion in subsidies for Intel unallocated, plus $3.2 billion for the 'Secure Enclave' project, totaling $8.9 billion.

The Trump administration converted this subsidy into equity. 433.3 million shares of Intel common stock at $20.47 per share, acquiring approximately 9.9% equity. The US government became Intel's largest shareholder, officially designated a 'passive investor,' not requesting board seats.

This was a provision not designed into the CHIPS and Science Act. Subsidies were deliberately designed as non-equity forms with a clear purpose. The government gives money but doesn't intervene in governance. Take the money, not the stock. Because with stockholding, the government gains a financial stake in the company's future, making it difficult to remain neutral.

Trump changed the rules.

Before this transaction, Intel's stock had been languishing below $20 for nearly a year, revenue declining persistently, process technology lagging, the market's verdict being a company losing competitiveness. After the government stepped in, a new variable entered Intel's valuation: the US government would not let this company die.

This judgment doesn't fit into a DCF model, but the market prices it.

Chip manufacturing is a national strategy, the largest shareholder won't stand idly by, Intel's tail risk was cut off by policy from this moment. Trump's personal account's Intel position appeared in early March 2026, six months after the government completed the transaction.

By then, Intel had exceeded earnings expectations for six consecutive quarters, AI inference demand drove CPU order recovery, Apple foundry rumors persisted, and the narrative of fundamental recovery began to hold water. By May 15, 2026, Intel closed at $108.77. From the government entry price of $20.47, a gain of about 431%, with the government's stake's paper value increase of about $38.2 billion.

First use taxpayer money to backstop, then follow up with one's own money. This sounds harsh, but the sensitivity of the Intel case lies here.

Public information already exists, Trump's personal account buying Intel may not involve non-public information. The issue is, when the government has already pushed a company to the center of national strategy, the president's personal account appearing next to the same company makes it difficult for the market to see it as just an ordinary investment.

The community calls Intel the 'American state-owned enterprise.' Behind the joke is a very real judgment.

It differs from traditional SOEs, but when the government buys a 9.9% stake with $8.9 billion, Intel is placed within the policy framework of American manufacturing, supply chain security, AI compute sovereignty, and semiconductor subsidies. What investors buy, besides Intel's next quarter profits, is the expectation that the US government won't let it fail.

This is also why Intel is more important than Dell.

Dell is a clear single-stock timeline.

Intel is an institutional timeline. It starts from converting subsidies to equity, linking industrial policy, government financial interest, personal holdings, and market pricing together.

In recent years, the market tracking Pelosi family trades followed only one logic. Policymakers knew something in advance, so they bought early. That's a one-way causality: policy generates information, information brings trading opportunities, officials front-run.

Intel is different. The key here goes beyond knowing a policy in advance; the government itself becomes part of the trade. Subsidies, equity, manufacturing reshoring, AI compute, personal accounts, all converge on the same company.

This case explains why that batch of AI hardware and semiconductor assets in the Trump account is important.

NVIDIA and AMD are compute chips, Broadcom is networking and custom chips, Dell is server whole machines, Intel is the US government personally stepping in to backstop domestic manufacturing.

These targets seem scattered but point in the same direction. The US market is buying AI capital expenditure, the US government is buying domestic semiconductor capability, and the Trump account also appears alongside these assets.

The Closed Loop: Portfolio and Policy Push Each Other Forward

The market has tracked politicians' US stock accounts for many years.

Pelosi family trades have been tracked for years, the logic always simple. The policymakers knew something in advance, so they bought early. Policy generates information, information brings trading opportunities, officials profit from the time lag.

This logic has a legal framework to handle it, for which the STOCK Act was created.

Trump's US stock account adds another layer, and one that's harder to address.

He holds Intel, so he has a financial motive to maintain semiconductor subsidies. He holds Coinbase and Robinhood, so he has a motive to advance crypto legalization. He holds the AI hardware chain, so he has a motive to keep datacenter capital expenditure expanding. He holds broad index funds and Big Tech, so he has a motive to keep overall US market risk appetite high.

The account and policy move in the same direction, the two reinforce each other. Over time, it's hard for outsiders to tell which is pushing which.

Policy influences holdings, holdings in turn influence policy inclination, then policy pushes up holding values. Once this cycle spins up, outsiders find it difficult to judge, on any specific decision, whether financial interests played a role, and how big a role.

Successive presidents insisted on using blind trusts, the core meaning lies here. Money goes in, one doesn't know what is held, so when making policy, there is no financial bias. Severing this feedback loop is a basic assumption of institutional design.

Trump doesn't have this system.

The CHIPS Act initially designed subsidies as non-equity precisely to prevent the government from becoming a shareholder and losing neutrality. Trump changed it to equity, the government took 9.9%. Six months later, his own account also entered Intel. Now, the direction of semiconductor subsidy policy and the market value of his two accounts point in the same direction.

The STOCK Act regulates officials trading on non-public inside information.

Most information here is public. The problem is, when decision-making power and financial interests are tied to the same person, current rules have no means to constrain this bundling, only requiring him to report the results.

On April 9, 2025, he posted that now is a great time to buy. Less than four hours later, Trump announced a tariff pause, the S&P 500 rose 9.5%. Washington University law professor Kathleen Clark later said, 'He's sending a signal that he can blatantly manipulate the markets.'

One year later, the account comes out.

The Dell family put $6.25 billion into the 'Trump Account,' Trump opened a Dell position in Q1, publicly endorsed Dell from the White House in Q2, Dell rose about 12% that day, six days later transaction records entered the public file.

Everyone on this chain got what they wanted.

The market got a story to explain the stock price. The company got exposure from the White House. The Trump account got paper gains. The policy project got corporate family funds.

The 113-page disclosure document can tell you what he bought. What it doesn't tell you is: policy influences holdings, and holdings, in turn, influence policy.

Questions liées

QAccording to the article, what is the unique aspect of Trump's stock trading disclosures compared to other politicians?

AUnlike other politicians whose disclosures are typically scrutinized for using non-public information, Trump's disclosures raise a different issue. His decisions and public activities (like policy announcements and public endorsements) can themselves move the market, and his personal financial holdings can create a situation where policy and portfolio interests reinforce each other in a loop, which is harder for existing rules to address.

QWhat was the government's unconventional move regarding Intel, as described in the article?

AInstead of providing the remaining $8.9 billion in subsidies to Intel under the CHIPS and Science Act as grants, the Trump administration converted this amount into equity. The US government purchased approximately 433.3 million shares of Intel common stock at $20.47 per share, acquiring about a 9.9% stake and becoming the largest shareholder, effectively anointing Intel as an 'American state-owned enterprise' in the eyes of the market.

QHow does the article describe the transaction chain involving Dell?

AThe article describes a clear transaction chain involving Dell: 1) Trump's account established a position in Dell (between $1-5 million) on February 10, 2026. 2) On May 8, Trump publicly praised Dell's hardware products at a White House event, causing Dell's stock to rise about 12% that day. 3) Six days later, the transaction disclosures were made public. Furthermore, the Dell family had previously committed $6.25 billion to a 'Trump Account' retirement plan.

QWhat is the major loophole in the proposed congressional bill to ban stock trading by officials, as mentioned in the article?

AThe major loophole in the proposed congressional bill to ban stock trading by officials is that it does not apply to the President of the United States.

QWhat general shift in investment focus does the article identify within Trump's disclosed Q1 trades?

AThe article identifies a shift from 'Big Tech' companies (like Microsoft, Amazon, Meta) towards semiconductor and AI hardware chain companies. Money flowed out of Big Tech and into names like NVIDIA, AMD, Broadcom, Dell, and Intel, which are positioned to benefit directly from AI capital expenditure. The article notes that the most profitable holdings were those that were deeply undervalued and closest to policy support.

Lectures associées

Des TPU aux agents auto-évolutifs : comment Jeff Dean envisage la prochaine étape de l'IA

Lors d’une intervention à la YC Startup School 2026, Jeff Dean a partagé sa vision de l’évolution de l’IA au-delà des simples modèles de grande taille. Il souligne que la prochaine étape ne consiste pas seulement à créer des modèles plus puissants, mais à les intégrer dans des systèmes capables de fonctionner de manière autonome, d’apprendre par essais et erreurs, et d’exécuter des tâches complexes sur de longues périodes. Dean insiste sur l’importance de l’ingénierie du contexte, des outils spécialisés et des boucles de rétroaction pour permettre aux agents IA d’agir efficacement, comme des ingénieurs juniors. Il met en lumière les défis techniques sous-jacents, tels que la latence, la consommation énergétique et le coût du déplacement des données, qui conditionnent la faisabilité des applications pratiques. Pour les startups, il conseille de se concentrer sur des problèmes où les modèles génériques actuels échouent (taux de succès proche de 0–1%), en exploitant des données propriétaires, des évaluateurs spécialisés ou des flux de travail métier. Il anticipe également une automatisation croissante de la recherche scientifique et du développement de l’IA elle-même, accélérant le cycle hypothèse-expérience-évaluation. Enfin, Dean rappelle que la clé reste de bien définir les problèmes, de remettre en cause les hypothèses établies et de privilégier les solutions qui auront un impact réel, tout en travaillant avec des équipes complémentaires et collaboratives.

marsbitIl y a 58 mins

Des TPU aux agents auto-évolutifs : comment Jeff Dean envisage la prochaine étape de l'IA

marsbitIl y a 58 mins

De la Corée aux États-Unis : grâce à l'IA, les cols bleus sont de plus en plus recherchés

Grâce à l'IA, les métiers manuels spécialisés connaissent une valorisation historique sur le marché du travail mondial, remettant en cause l'attrait traditionnel des diplômes universitaires. Aux États-Unis, les inscriptions dans les écoles professionnelles ont bondi de 11,4% en 2025, tandis que les licenciements liés à l'IA ont atteint un niveau record. Cette double pression - remplacement de certains emplois de bureau par l'IA et demande explosive de main-d'œuvre pour les infrastructures et data centers - pousse la nouvelle génération vers des carrières comme électricien, soudeur ou plombier. En Corée du Sud, les diplômés de lycées techniques spécialisés dans les semi-conducteurs sont recrutés à plus de 96%, avec des rémunérations très attractives chez des géants comme Samsung. Le phénomène est accentué par une vague de départs à la retraite et un déficit structurel de travailleurs qualifiés, créant une véritable pénurie. Des entreprises et banques comme JPMorgan, Meta ou Lowe's investissent massivement dans la formation. Si les salaires médians de ces métiers rivalisent désormais avec ceux de nombreux diplômés universitaires, des préjugés persistants sur la valeur des formations professionnelles constituent le principal défi pour combler l'écart entre la demande du marché et les perceptions sociales.

marsbitIl y a 59 mins

De la Corée aux États-Unis : grâce à l'IA, les cols bleus sont de plus en plus recherchés

marsbitIl y a 59 mins

Qualcomm : la fièvre de l'IA retombe, quand le marché du téléphone mobile sortira-t-il de la morosité ?

Qualcomm a publié ses résultats financiers du troisième trimestre de l'année fiscale 2026 (se terminant en juin 2026). Les revenus ont atteint 9,95 milliards de dollars, en baisse de 4% sur un an, dépassant les attentes du marché. Cependant, la rentabilité a été mise sous pression : la marge brute a chuté à 53,1% en raison de l'augmentation des coûts de production des semi-conducteurs et de la hausse des prix de la mémoire. Le segment smartphone, cœur de métier de Qualcomm, a subi un net recul de 19,6% à 5,09 milliards de dollars. Ce déclin s'explique par la faiblesse du marché des smartphones Android (hors Apple) et par une tendance des fabricants à privilégier d'anciennes plateformes pour réduire les coûts. À l'inverse, le secteur automobile a connu une croissance forte de 61%, porté par les systèmes de cockpit numérique. Face à la morosité de son marché traditionnel, Qualcomm mise sur l'IA pour son avenir. Sa stratégie couvre à la fois l'IA de périphérie (smartphones, PC, véhicules) et les centres de données. Dans ce dernier domaine, la société a dévoilé un plan ambitieux incluant des accélérateurs d'IA, des CPU, des puces sur mesure et des produits de connectivité, visant un marché potentiel de 1000 milliards de dollars. Des partenariats ont déjà été conclus avec Microsoft et Meta. Cependant, ces perspectives de croissance ne se sont pas encore concrétisées dans les chiffres. Les prévisions pour le prochain trimestre restent prudentes, reflétant la faiblesse persistante de la demande pour les terminaux et la pression sur les coûts. Après un pic lié à l'enthousiasme pour l'IA, l'action de Qualcomm est retombée, les investisseurs attendant désormais des preuves tangibles de la réussite de son virage stratégique, tout en surveillant la possible stabilisation de son activité historique.

marsbitIl y a 1 h

Qualcomm : la fièvre de l'IA retombe, quand le marché du téléphone mobile sortira-t-il de la morosité ?

marsbitIl y a 1 h

Trading

Spot
活动图片