WAL
Western Alliance Bancorporation
stock NYSE

I've been building \*\*orderbook\*\*, a central-limit-order-book and matching engine
in Go — the piece at the heart of an exchange. It's an embeddable library, and
the whole engine compiles to WebAssembly so you can poke at the real thing in
your browser:
▶ Live demo: [https://intrepidkarthi.github.io/orderbook/](https://intrepidkarthi.github.io/orderbook/)
▶ Repo: [https://github.com/intrepidkarthi/orderbook](https://github.com/intrepidkarthi/orderbook)
What might interest this sub:
\- \*\*int64 ticks & lots, no floats\*\* on the money path (an \`Instrument\` converts
decimals only at the boundary).
\- \*\*Zero-allocation hot path\*\* — \`Match(order, buf)\` appends value-trades into a
caller buffer; submit/cancel/match are \*\*0 allocs/op\*\*. O(1) cancel.
\- \*\*Lock-free single-writer core\*\* (LMAX model): one matching goroutine, an MPSC
command queue in front, bounded backpressure that sheds new orders but never
cancels.
\- \*\*Deterministic & replayable:\*\* same command stream → byte-identical trades and
book; that's what makes WAL crash-recovery and golden-file tests work.
\- \*\*A market-integrity layer grounded in a threat model\*\* — the part I had the
most fun with. I researched real attacks (spoofing convictions, Knight Capital
$440M, the Mango oracle hack, the Bitcoin overflow bug) and built a defense for
each: pre-trade risk controls, surveillance detectors, a self-output guardrail,
an enforcing gateway. Writeup: docs/THREAT-MODEL.md.
Benchmarks (Apple M-series, single core): \~6ns best bid/ask read, \~352ns match
round-trip (0 allocs), cancel-heavy p50/p99/p999 = 83/167/292ns. Race/fuzz/soak
suites in CI.
Honest status: a library + microstructure research harness (OFI, Kyle's λ,
Avellaneda–Stoikov, a sim + backtester), not a live exchange. MIT, v0.6.0.
Feedback and "you did X wrong" very welcome — that's why I'm posting.

I've been building \*\*orderbook\*\*, a central-limit-order-book and matching engine
in Go — the piece at the heart of an exchange. It's an embeddable library, and
the whole engine compiles to WebAssembly so you can poke at the real thing in
your browser:
▶ Live demo: [https://intrepidkarthi.github.io/orderbook/](https://intrepidkarthi.github.io/orderbook/)
▶ Repo: [https://github.com/intrepidkarthi/orderbook](https://github.com/intrepidkarthi/orderbook)
What might interest this sub:
\- \*\*int64 ticks & lots, no floats\*\* on the money path (an \`Instrument\` converts
decimals only at the boundary).
\- \*\*Zero-allocation hot path\*\* — \`Match(order, buf)\` appends value-trades into a
caller buffer; submit/cancel/match are \*\*0 allocs/op\*\*. O(1) cancel.
\- \*\*Lock-free single-writer core\*\* (LMAX model): one matching goroutine, an MPSC
command queue in front, bounded backpressure that sheds new orders but never
cancels.
\- \*\*Deterministic & replayable:\*\* same command stream → byte-identical trades and
book; that's what makes WAL crash-recovery and golden-file tests work.
\- \*\*A market-integrity layer grounded in a threat model\*\* — the part I had the
most fun with. I researched real attacks (spoofing convictions, Knight Capital
$440M, the Mango oracle hack, the Bitcoin overflow bug) and built a defense for
each: pre-trade risk controls, surveillance detectors, a self-output guardrail,
an enforcing gateway. Writeup: docs/THREAT-MODEL.md.
Benchmarks (Apple M-series, single core): \~6ns best bid/ask read, \~352ns match
round-trip (0 allocs), cancel-heavy p50/p99/p999 = 83/167/292ns. Race/fuzz/soak
suites in CI.
Honest status: a library + microstructure research harness (OFI, Kyle's λ,
Avellaneda–Stoikov, a sim + backtester), not a live exchange. MIT, v0.6.0.
Feedback and "you did X wrong" very welcome — that's why I'm posting.