System
An AI investment decision system that decomposes market research into inspectable stages, then recombines them. Its value is not a louder conclusion—it is a conclusion that can be questioned.
Architecture
Five layers, each with a defined output
Dependencies run one way. An upper layer may consume a lower layer's output; it may not revise the lower layer's judgement.
| Layer | Responsibility | Output |
|---|---|---|
| Data | Aggregates quotes, filings, news and macro data with source and timestamp preserved. | Traceable structured facts |
| Research | Five roles cover market, sector, factor, company and synthesis. | Per-role conclusions with reasoning |
| Validation | Runs backtest, forward behaviour, directional stability and cost checks on factors and hypotheses. | Passed / Observing / Retired |
| Synthesis | Merges role output; records disagreement and this period's invalidation conditions explicitly. | An integrated view with boundaries |
| Tracking | Reviews published views against subsequent facts. | A view lifecycle record |
Pipeline
The five-step pipeline
Input, processing and output are logged at every step, so the whole run can be re-examined afterwards.
-
01
Market regime
Market regime
A state call plus its invalidation conditions—not a directional slogan.
-
02
Sector focus
Sector focus
Focus areas, the reason behind them, and what to avoid.
-
03
Validation
Validation
Evidence that cleared the bar, or the reason it was sent back to observation.
-
04
Integrated view
Integrated view
The combined conclusion, the disagreements, and this period's boundaries.
-
05
Continuous tracking
Continuous tracking
How later facts tested the view, and what was revised.
Interface
Interface (mockup)
A static mockup of the research desk, shown to illustrate how the system presents information. Sector names are placeholders and the data is illustrative—it represents no real market view.
Data discipline
Data discipline
What the system may do and may not do, in one table.
| Allowed | Forbidden |
|---|---|
| Illustrative data, placeholder names, DEMO labels | Inventing "validated alpha" or "stable annualised returns" |
| "Sample accumulating" when the sample is thin | Unsourced pass rates or hit-ratio headlines |
| Validation notes on a disclosed methodology | Publishing ticker codes or entry conditions |
| Conclusions shipped with sources and invalidation conditions | Framing research output as an executed order |
Next: capabilities, or a sample
Read capabilities for how each step actually works, or read a public insight to see what the system produces.