Optimize a data backtest class using numba jitclass

I am looking for a freelancer who can assist me with optimizing my data backtest class using numba jitclass. The project is written in Python and I have a rough idea of what I want the class to do, but I need help with the proper implementation. The primary focus of the optimization is on both speed and memory usage.

Ideal Skills and Experience:
- Strong experience with Python
- Experience with numba jitclass
- Knowledge of data backtesting and optimization techniques
- Ability to optimize code for both speed and memory usage