financial-computing-cpp
Installation
SKILL.md
Financial Computing C++
objective
Design high-performance C++ quant components with predictable latency and numerical reliability.
workflow
- define latency budget, precision requirements, and concurrency model.
- implement pricing or risk kernels with explicit memory ownership.
- add deterministic tests for edge cases and numerical boundaries.
- profile cache behavior, branch patterns, and lock contention.
- promote only after stress tests under production throughput conditions.
required diagnostics
- p50/p99 latency by function and code path.
- numerical parity versus validated reference implementations.
- allocator and object-lifetime diagnostics under load.
- contention and queue-depth behavior in multithreaded runs.
- fault-injection recovery behavior for feed and compute errors.