Hyperopt results improvement request

Describe your environment

(if applicable)

• Operating system: Linux Manjaro
• Python Version: 3.10.0 (python -V)
• CCXT version: 1.92.60 (pip freeze | grep ccxt)
• Freqtrade Version: 2022.8.dev-a6d78a861 (freqtrade -V or docker-compose run --rm freqtrade -V for Freqtrade running in docker)

Describe the enhancement

Hi, Maybe someone considers the following a reasonable contribution... It would be nice to get a feedback from hyperopting about the "places" of the good (and best) results in the parameter spaces. The goal of this is to make better estimates about the robustness of the found optimal parameter configuration in terms of "how robust is the solustion to small variations in the optimal parameters". One can think of e.g. some form of 2D graph of the loss in a varying 2d-parameter space. Or, even inclusion of the particular parameters of each epoch in the live log or a log file would suffice.

In case I missed the according feature please let me know. Thanks