This work introduces a decision support system that prioritizes strategy and explicit rules for equity analysis and trading. Rather than starting from raw data, the system encodes domain strategies as rules and uses them to guide both data selection and recommendation logic.
We describe the architecture, rule representation, and backtesting results on historical equity data, with implications for transparent and auditable decision support in financial applications.