It's rare that I've run into such issues when using Python for building trading algorithms - most of the overhead (for me) seems to be building a strategy using the data that you have available. Numerical computing libraries such as NumPy, Pandas, and so on in the Python ecosystem make this much easier to do in Python.

I feel like static typing would get in the way there, making code more verbose and more difficult to prototype while running possibly thousands of backtests (e.g, to tune hyperparameters of your model) but if that your preference, by all means, Rust should be usable for that.