Human judgment × machine intelligence
DTRM Research Lab tests a precise proposition: in uncertain, open systems, computational power creates more value when human judgment retains control of the objective, constraints and final decision.
Narrative protocol
Five connected chapters explain the hypothesis without claiming victories the research has not yet demonstrated.
DeepBlue, AlphaGo and AlphaStar demonstrated extraordinary search and optimization inside bounded environments. Their victories begin after humans have already specified what the game is and what winning means.
The machine solves the game. The human defines it.
A normalized comparison between human-controlled selection, machine recommendations, AI-managed instruments and the S&P 500 benchmark.
The experiment treats the market as a repeated, adaptive decision environment. The model searches and ranks before the decision; the portfolio allocation is the action; realized return and risk are observations after the action. A higher payoff is therefore read together with the path required to obtain it.
The Adjusted Score remains an ex-antesearch signal. Calmar, Sharpe, volatility and maximum drawdown are ex-post diagnostics and are not fed back into that historical score. Keeping those layers separate avoids look-ahead leakage and makes the comparison harder to improve merely by redefining the score after seeing the outcome.
Calmar compares annualized compound growth with the worst peak-to-trough loss. Sharpe compares daily excess return with the U.S. 3-month Treasury benchmark per unit of excess-return variability. Annual volatility measures dispersion; maximum drawdown measures realized capital impairment. They answer different questions and none of them alone establishes causality.
All published risk ratios are calculated in the backend from the same governed series shown above. The public site only validates and presents those results.
Read formulas and conventions →| Rank | Movement | Asset | Adjusted | Trump score | Signal |
|---|---|---|---|---|---|
| 01 | WFCWells Fargo & Company | Adjusted score: 98.3 | Trump Score: 99.4 | strong | |
| 02 | MMMMMM | Adjusted score: 97.0 | Trump Score: 100.0 | strong | |
| 03 | CBCB | Adjusted score: 93.0 | Trump Score: 94.7 | strong | |
| 04 | HDThe Home Depot, Inc. | Adjusted score: 90.5 | Trump Score: 96.5 | strong | |
| 05 | CVSCVS | Adjusted score: 87.9 | Trump Score: 97.1 | strong | |
| 06 | UNHUnitedHealth Group Incorporated | Adjusted score: 86.8 | Trump Score: 91.8 | strong | |
| 07 | SHWSHW | Adjusted score: 86.7 | Trump Score: 95.3 | strong | |
| 08 | HCAHCA | Adjusted score: 86.6 | Trump Score: 98.2 | strong | |
| 09 | PGRPGR | Adjusted score: 86.0 | Trump Score: 95.9 | watch | |
| 10 | BKNGBKNG | Adjusted score: 85.1 | Trump Score: 94.1 | watch | |
| 11 | MNSTMNST | Adjusted score: 84.3 | Trump Score: 88.9 | watch | |
| 12 | BNYBNY | Adjusted score: 84.1 | Trump Score: 84.8 | watch | |
| 13 | LINLinde plc | Adjusted score: 83.8 | Trump Score: 88.3 | watch | |
| 14 | JPMJPMorgan Chase & Co. | Adjusted score: 83.0 | Trump Score: 83.0 | watch | |
| 15 | ELVELV | Adjusted score: 83.0 | Trump Score: 93.0 | watch | |
| 16 | MCDMcDonald's Corporation | Adjusted score: 81.5 | Trump Score: 84.2 | watch | |
| 17 | PHPH | Adjusted score: 80.6 | Trump Score: 86.5 | watch | |
| 18 | AXPAmerican Express Company | Adjusted score: 79.5 | Trump Score: 83.6 | defensive | |
| 19 | PDDPDD | Adjusted score: 78.8 | Trump Score: 90.6 | defensive | |
| 20 | HONHON | Adjusted score: 77.9 | Trump Score: 89.5 | defensive | |
| 21 | TMToyota Motor Corporation | Adjusted score: 76.5 | Trump Score: 81.8 | defensive | |
| 22 | MUFGMUFG | Adjusted score: 76.4 | Trump Score: 78.9 | defensive | |
| 23 | TMOTMO | Adjusted score: 76.3 | Trump Score: 80.7 | defensive | |
| 24 | FTNTFTNT | Adjusted score: 76.1 | Trump Score: 87.7 | defensive | |
| 25 | PEPPepsiCo, Inc. | Adjusted score: 75.9 | Trump Score: 77.7 | defensive |
The rebalance date, 60-day cadence, eleven-asset output and 100% allocation are controlled. The selection mechanism is the experimental variable.
The ranking narrows the 174-asset universe to a Top 25 candidate squad. Human judgment then combines Trump Score, adjusted score and market context to define the final eleven. Higher adjusted scores generally inform the offensive, higher-weight positions.
ChatGPT selects eleven assets directly from the validated 174-asset universe and independently determines their proportional weights. The private advisory protocol is repeated every 60 days on the same date as DTRM, with no user memory or retrieval context.
The operational prompt remains in the private agent. This public snapshot exposes only the approved protocol identity and integrity digest.
SHA-256 · a853eb5d6ccd881d…One private daily batch curates the same FMP evidence set used by the model. DTRM agent claims describe possible impact on published positions; they never alter the locked 60-day alignments.
03 Sept, 13:44 UTCseekingalpha.com (opens in a new tab)
Roblox’s described AI-gaming growth ambitions could be modestly supportive for AI infrastructure beneficiaries held in the portfolio (NVDA, AVGO, MSFT, GOOGL, META) even as near-term bookings pressure makes the read-through uncertain.
03 Sept, 13:43 UTCproactiveinvestors.com (opens in a new tab)
Broadcom’s raised long-term AI revenue outlook could be positive for the portfolio’s AVGO position despite the mixed immediate market reaction mentioned.
03 Sept, 13:41 UTCfastcompany.com (opens in a new tab)
Nvidia’s agreement to acquire Hugging Face could strengthen NVDA’s AI software/platform positioning but introduces deal-execution and integration risk for the portfolio’s NVDA holding.
03 Sept, 13:32 UTCreuters.com (opens in a new tab)
The announced October launch of Windows PCs powered by Nvidia’s RTX Spark chip could be supportive for the portfolio’s NVDA position by expanding its AI footprint into PCs.
03 Sept, 13:35 UTCzacks.com (opens in a new tab)
The $4B atNorth data-center acquisition highlights continued buildout for AI/cloud/HPC, which could be supportive for portfolio holdings tied to AI infrastructure demand (GOOGL, MSFT, AMZN, AVGO, META).
03 Sept, 13:21 UTCyoutube.com (opens in a new tab)
Snowflake’s accelerating growth attributed to AI adoption could be read as supportive of ongoing enterprise AI investment that may benefit the portfolio’s AI compute and cloud positions (NVDA, AVGO, MSFT, GOOGL).
03 Sept, 13:20 UTCyoutube.com (opens in a new tab)
Wayve and Uber’s robotaxi launch in London underscores momentum in applied AI/autonomy that could marginally support demand for AI compute platforms held in the portfolio (NVDA, GOOGL, MSFT), though the linkage is indirect.
03 Sept, 13:00 UTCzacks.com (opens in a new tab)
The optimistic earnings sentiment around Pony AI provides only an indirect autonomy/AI theme read-through and is unlikely to materially affect the portfolio’s positions (GOOGL, MSFT, NVDA, META, AVGO).
LLM-assisted research annotation · Probabilistic claims · Not financial advice
Checked-in fallback evidence for builds without a verified backend bundle. Risk analytics are displayed only when their governed artifact is present and validates against the same market series. Not financial advice.
Human checkpoint
The Resistance was never meant to be a solo project. It is not a movement against artificial intelligence. It is a refusal to stop thinking simply because our machines have become extraordinarily capable.
The people leading today's AI revolution deserve admiration for what they have built. But even extraordinary products can become dangerous ideas when we fall so deeply in love with them that we confuse automation with progress and remove humanity from the decision.
Humanity should not fear machines that think, but men and women who stop doing it.
The future we want gives people better machines, better evidence and a wider search space — while keeping purpose, judgment and responsibility human. The machine can search. The human must still define the game.
We should never build a future that looks back at its own ruins and can only say:“People lived here.”Join the Resistance · Read the manifesto →