Engineering notes on market simulation, trading mechanics, and building better practice tools.
How we simulate realistic tick-by-tick price action using four agent types, a self-exciting Hawkes process, and a limit order book with depth.
Why replaying recorded market data creates blind spots in your development as a trader, and what a better practice model looks like.
How we generate price sessions that feel like real markets instead of random noise.