Python core developer Antonio Cuni shares critical insights from optimizing PyPy's tracing JIT in high-frequency trading systems, revealing unexpected performance pitfalls that await CPython's emerging JIT. His analysis exposes how trace blockers, data-driven control flow, and generators can cripple optimization gains in real-world code.