Live Scenario Simulator &
Market Data Flow Architecture.
Step through institutional clearing scenarios in real time. Inspect wire protocol messages, sequence flow between simulated peers, and participant state blotters under both happy-path and chaos-injected market conditions.
Architectural Data Flow Diagrams
Explore how data flows between participant institutional systems and the six simulated market peer engines.
End-to-End Equity Trade, Clearing & DvP Cash Settlement Flow
Trace the lifecycle of a market transaction through order capture, allocation, netting, cash movement, and subregister ownership updates.
Single JVM In-Memory Architecture vs. Fragile Exchange CDE
How Aegis eliminates external network latency, database management, and dirty shared state through pure in-memory isolation.
- Requires dedicated VPN tunnels and static IP whitelisting
- Restricted operating hours (typically 9:00 AM – 5:00 PM AEST)
- Shared multi-tenant environment contaminated by other participants
- Unannounced exchange maintenance windows and version rollbacks
- Cannot run in parallel automated CI/CD pull request runners
- Runs locally on 127.0.0.1 with zero external network connectivity
- 24/7/365 uninterrupted availability for dev & test suites
- 100% hermetic isolation: deterministic seed reset in 5 milliseconds
- Built-in Chaos & Break Injection API to test edge cases
- Spin up 50 parallel instances across GitHub Actions or Jenkins
ASX DCS Derivatives Clearing & SPAN Margin Lifecycle (MCM 1.5.0)
High-speed fixed-width MCM 1.5.0 message stream covering trade allocations, give-ups, and portfolio risk calculation.
Ready to Execute These Scenarios in Your Own CI Pipeline?
Request an evaluation JAR package and run all five scenarios in automated JUnit, Python, or Go test suites today.