deltatrace-deterministic-replayable-late/README.md

DeltaTrace MVP

A production-ready scaffold for deterministic replayable latency and governance tracing in partitioned live-market pipelines.

• Core: LocalEvent, PlanDelta, OrderEvent, FillEvent, RiskCheck, AuditLog, PrivacyBudget, Metadata
• Deterministic replay engine skeleton to reproduce decision paths in sandbox environments
• Lightweight adapters (FIX feed and exchange gateway) as starting points
• Tiny CLI to run toy replay scenarios
• Governance-friendly audit trail and privacy controls are planned for MVP rollout

How to run

• Python package imports live under delta_trace
• To run the toy replay, execute: python -c "from delta_trace.cli import main; main()" or run delta_trace/cli.py directly if you want the toy demo

Notes

• This is a scaffold. More complete governance ledger, Merkle proofs, and latency-budgets will be added in subsequent iterations.