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Fresh takes, proven techniques, AI research insights, and technical deep dives — this blog is where I share lessons learned, tools I trust, and engineering solutions that just work.
Using event sourcing, replay, snapshots, and immutable logs to make a Python matching engine deterministic, auditable, and recoverable.
Managing balances, reserved funds, trade settlement, and maker-taker fees inside a deterministic Python exchange engine.
Exploring how a Python matching engine processes orders, sweeps the order book, handles fills, and turns user commands into authoritative events.