domain-fintech

To build an immutable ledger with auditable transaction records, use Arc<T> for shared ownership and event-sourcing patterns. This ensures transaction integrity by maintaining deterministic execution and a traceable history for compliance.

To avoid floating-point errors when handling money, enforce no floating point for money and use rust_decimal for precision decimal math. This enforces accurate ledgers and deterministic financial calculations.

Event-sourcing in fintech domain modeling is a pattern that stores transaction states as a sequence of immutable events. You need it for building payment processing or trading systems that require strict auditability and compliance.

Yes, you can use rust_decimal with event-sourcing patterns for payment processing. Combining them enforces precise decimal math and immutable transaction histories, ensuring deterministic execution and financial compliance.

The best way to model domain rules for deterministic execution is applying domain-driven design guidelines. Use separation of concerns, value objects, and clear ownership to maintain transaction integrity and reliability in trading systems.

Your fintech domain model fails to maintain transaction integrity without immutable records because mutable states break auditability. Using Arc<T> and event-sourcing enforces deterministic execution and prevents unauthorized modifications to the ledger.