deltatrace-deterministic-replayable-late

A cross-layer traceability toolkit for high-frequency trading systems that enables deterministic replay of order lifecycles under partitioned networks, with end-to-end latency accounting, governance-ready audit trails, and vendor-agnostic adapters. T

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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.