Capital Markets & Post-Trade
Deterministic clearing primitives for reproducible post-trade workflows.
Post-trade challenges
- Settlement breaks emerge when systems process equivalent events differently.
- Exception handling and reconciliation become the primary operating model.
- Audit timelines expand when replayability is weak.
PraxisNet fit for post-trade
- ✅ Deterministic state transitions with strict validation gates.
- ✅ Replay and state-root proofs for independent verification.
- ✅ Partition-oriented scaling architecture for high-volume settlement windows.
Lane growth trajectory
| Lane count | Committed TPS Window | Classification |
|---|---|---|
| 20k tx/block profile | ~17.8k–18.1k | ✅ Measured |
| 100k tx/block profile | ~73k–84k | ✅ Measured |
| Validator path | ~340k–380k | ✅ Measured |
| Sustained committed | Artifact-backed per run | ✅ Measured |
Capacity model
Throughput planning for capital-markets flows should map workload shape to benchmark profile. Use committed and sustained artifacts directly rather than fixed lane assumptions.
Pilot objectives
- Reduce break rates in post-trade reconciliation.
- Improve replay confidence for dispute and control workflows.
- Demonstrate deterministic behavior under peak settlement windows.