DTRM Fund
+40.7%
Cumulative return
- CAGR / volatility
- 2.27
- Max drawdown
- -7.51%
- Annual volatility
- 14.4%
Field 01 / Markets
Beat The Machine
A live research question: can machine search become more valuable when a human still defines the game, allocates finite capital and remains accountable for risk?
The question
The machine ranks opportunities across a defined equity universe. The human does not replace that search; the human decides how ranked opportunities interact inside a finite portfolio and accepts responsibility for the resulting exposure.
The experiment compares that human-governed process with a recurring machine advisory, an AI-managed market instrument and the S&P 500. The aim is not to celebrate a winning prediction. It is to observe whether judgment adds value once return is considered together with realized risk.
Current governed state
- As of
- 2026-08-31
- Ranking
- Top 25
- Universe
- 174
- Market state
- close
Public snapshot generated 2026-08-31T23:00:00Z. The page is statically built from the same validated publication contract used by the live field view.
Current evidence
Return is only half of the score.
Each card is calculated from the same daily normalized series. Read cumulative return together with efficiency and drawdown rather than treating any single number as the result.
ChatGPT Fund
+29.1%
Cumulative return
- CAGR / volatility
- 1.63
- Max drawdown
- -16.54%
- Annual volatility
- 14.5%
AI Managed ETF — AIEQ
+24.4%
Cumulative return
- CAGR / volatility
- 1.61
- Max drawdown
- -9.10%
- Annual volatility
- 12.4%
S&P 500
+28.5%
Cumulative return
- CAGR / volatility
- 1.88
- Max drawdown
- -9.10%
- Annual volatility
- 12.3%
How to read the experiment
A higher cumulative return does not automatically imply a better decision process. The same payoff can require very different levels of volatility and peak-to-trough loss. That is why Human Clause publishes risk alongside performance.
CAGR / volatility is a compact efficiency measure; maximum drawdown exposes the depth of the worst realized decline. Neither proves that one decision process caused the outcome. They make the comparison harder to game with return alone.
Read the methodology →Inspect the evidence
Humans can inspect the full field experience. Machines and researchers can consume the same read-only publication evidence directly. Neither surface exposes an action that can operate the underlying research system.
Research boundary. This page is evidence, not an investment recommendation and not an execution interface. Public visibility ends at validated, read-only artifacts.