Using the "backtesting" framework to backtest a crypto Expert Advisor. First, we get the data from binance. Then we backtest the bot, and we do an optimization with a bayesian optimizer (similar to machine learning hyperoptimization) This is only for backtesting, if you want to use this for real, I recommend to use the ccxt or shrimpy API's (maybe you'll need to look another tuto, or I'll make a tuto in the future if I have the time)