four principles for AI investment research — Sterquivenal
The work is organised around four capabilities that make AI-assisted investment research more useful, transparent and grounded in the needs of a private investor.
Research questions
Enquiry framing
A useful investigation begins with a question that can be explored. This capability helps turn a broad topic into a clearer brief, while leaving room to revise the question as new information emerges.
RQ
Information context
Evidence organisation
Market information needs context to be interpreted carefully. This principle focuses on arranging related material and distinguishing what is observed from what is inferred.
IC
Scenario review
Assumption examination
Comparing possible conditions can reveal where a line of reasoning depends on a particular assumption. The aim is to make those dependencies easier to inspect, not to predict which scenario will occur.
SR
Judgement and decision
Responsible boundaries
Research support should strengthen a person's own assessment. The product does not execute trades, make personal decisions or replace professional financial advice.
