Should Investors Follow Trump's Trades?
πππOn May 14 - 15 2026, the US Office of Government Ethics dropped a staggering 113 page OGE Form 278-T financial disclosure detailing the personal portfolio moves of President Donald Trump.
This wasn't the standard dusty balance sheet review. The filing revealed an absolutely frenetic 3,642 securities transactions executed in Q1 2026. Clocking an average 60 trades per day, Trump orchestrated a massive USD 220 million to USD 750 million capital rotation right from the White House.
The Great Tech Realignment
The Massive Exit: Dumping the Software Stocks
The portfolio executed massive liquidations in software stocks. Microsoft, Amazon and Meta Platforms were sold off. This implies a view that these stocks have become temporarily top heavy.
The Hardware Influx: Buying Nvidia and Broadcom
Where did the multi million dollars from the sale go to? It went straight into hardware and AI stocks via big USD 1 million to USD 5 million block purchases:
The Computing Power - $NVIDIA(NVDA)$
The Custom Heavyweights - The portfolio established major positions in $Broadcom(AVGO)$
The Policy Proxies - Intel and Dell
The filing highlighted aggressive accumulations in Intel (INTC), directly tracking the Federal government's massive equity stakes in domestic chip manufacturing. Even more striking was a USD 1 million to USD 5 million purchase of Dell Technologies (DELL) on February 10, which directly preceded a public presidential endorsement of Dell from the White House in early May.
Should Investors Follow Trump Trades?
The short answer is No. Investors should not blindly copy the trades but should certainly follow the underlying policy trends.
Why?
The Lagged Data Trap: You are buying yesterday's news
The reality is the report released in May 2026 details transactions done through Q1 2026 from January to March.
The Risk: You are seeing where Trump put money months ago. If he bought NVIDIA at a lower entry point in February, copying that trade today at fresh post summit highs means you are taking on maximum valuation risk.
The Mismatch : Different portfolios, different risk appetites
The asset allocation of a billionaire politician has completely different risk management rules compared to an individual retail investor.
If you copy a concentrated big trade and the stock faces a pullback, your portfolio may feel an entirely different level of financial distress.
How to Intelligently Use The Disclosure Report
Instead of copying the specific stocks, use the disclosure report as a macro economic map. The true value of the report isn't the specific companies. It is the visible structural shift in policy direction.
Policy Hint: Exit Big Tech Software Stocks indicates a view that generic cloud growth is fully priced in.
Enter Big Tech Hardware Stocks indicates where future federal subsidies and capital expenditure are.
By recognising that the Trump administration is aggressively backing domestic hardware infrastructure, semiconductor supply chains and AI physical deployment, you can position your capital to capture the exact same tailwind without paying a premium retail tax on the hyper exposed names.
Concluding Thoughts
The real value of Trump's disclosure report isn't individual stock names. It is the undeniable macro economic map revealing where federal capital, subsidies and national security mandates are flowing.
My Take: I will continue to dollar cost average into index ETFs like $SPDR Portfolio S&P 500 ETF(SPYM)$ . SPYM has the lowest expense ratio of just 0.02% and tracks the S&P500 index like its big brother $SPDR S&P 500 ETF Trust(SPY)$
I do not need to read the 113 page presidential financial disclosures nor track 60 trades a day. I also do not need to manually buy separate lots of Intel, Dell or Oracle at volatile all time highs. My automated SPYM machine is quietly buying slices of them while I sleep.
By investing in SPYM I have successfully outsourced my stock picking to the mathematical laws of index compounding. Investing can be so simple with SPYM.
@Tiger_comments @Tiger_SG @TigerStars @CaptainTiger @TigerClub
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