Should I delay ML until after reliable paper-trading data and backtesting? Architecture sanity check [D]

I’m building a paper-trading / decision-support project and I’m intentionally delaying ML until the data and backtesting pipeline are reliable. I’d like feedback on whether this is the right approach. This is not real-money trading. It is a simulation system. Current plan: Phase 1: collect reliable