AI expands the field of view
Collect information, detect attention shifts, group narratives, compare evidence, test signals, and preserve uncertainty at machine speed.
RESEARCH & METHODOLOGY
Markets are not a dataset.
They are a changing decision environment.
Our method combines AI's ability to scan, compare, and test with the human ability to recognize regime change, challenge the framework, and decide what matters now.
Point-in-time evidenceHuman judgment recordedFuture information excludedContinuous real-market validation
Human × AI division of work
The edge is not automation alone. It is correction between two different kinds of intelligence.
Humans decide what deserves belief
Recognize when the market regime has changed, when the original frame is wrong, when an overlooked signal matters, and when the decision horizon should change.
Market decision loop
From information to an auditable decision
- 01
Capture
Freeze the information actually available at the decision time.
- 02
Detect
Measure attention acceleration, disagreement, and unusual market movement.
- 03
Synthesize
Turn fragmented facts into a small number of investable narratives.
- 04
Verify
Test narratives against relative strength, breadth, volume, and cross-asset evidence.
- 05
Intervene
Record where the human confirms, rejects, recalls, or upgrades the system view.
- 06
Decide
Lock the final opening-side judgment, grade, trigger, and risk note.
- 07
Validate
Append Close, T+1, and T+2 evidence without rewriting the original call.
Evidence architecture
Different sources answer different questions
Attention
Public discussion and narrative acceleration show what the market is starting to watch.
Reported facts
News and official disclosures establish what happened and what remains unconfirmed.
Market belief
Price, volume, breadth, and relative strength test whether capital accepts the story.
Context
Rates, commodities, index futures, and sector structure show whether the environment supports the trade.
Three separations
The method is designed to resist easy hindsight
Attention is not belief
High discussion volume is not a market trend until price and breadth provide confirmation.
A catalyst is not a thesis
An event matters only after we identify which expectation it changes and for how long.
Validation is not revision
Later outcomes test the original judgment; they do not authorize us to rewrite what was known earlier.
Pre-Market Time Capsule
Preserve the decision environment before the answer is known
Each published decision keeps the real capture time, available evidence, market context, system proposal, human intervention, and final decision. Missing evidence remains missing. A pre-market snapshot is never presented as live data or reconstructed from the later price path.
Dynamic benchmark
Real cases refresh the test as the market changes
New regimes create new failure modes. Continually refreshed cases reduce fixed-test overfitting risk and reveal whether an Agent can reason inside the current market rather than reproduce an old pattern.
Continuous evolution
The framework itself is allowed to be wrong
AI improves the inner loop through repeated testing. Humans remain responsible for asking whether the wrong thing is being optimized. Confirmed errors, missed opportunities, and successful overrides become inputs to the next version.
See the method operating on real decisions
Decision Logs preserve the daily Human–AI path. The Case Library keeps the examples with the highest learning value.