Optimize Python Bot Execution Speed

Job ID: 40200066

Budget: $30 – $250 USD

My Python-based automation bot just lost its first head-to-head race against a competitor. I noticed a clear lag, even though I’m already steering clear of packet manipulation tricks and want to keep it that way. Execution speed is my top priority, and initial profiling points to the data-processing routines—mainly the window-reading layer that gathers live information before each decision cycle.

Here’s what I need:

• A careful code review focused on the sections handling window reads and subsequent parsing.
• Concrete refactoring or micro-optimisations that shave milliseconds without compromising detection accuracy. You’re welcome to propose techniques like caching, vectorised operations, Numba/Cython acceleration, asyncio or threaded batching—as long as they remain within standard Python distribution or lightly-compiled add-ons.
• A short profiling report (before vs. after) so I can see exactly where the gains come from.
• Clean, commented code patches I can drop straight into my repo.

If you’ve squeezed extra speed out of real-time bots before—especially those dependent on reading external windows rather than direct packet hooks—I’d love to see how you approach this. Let’s tighten things up and reclaim the lead.