How do you backtest level-based strategies without fooling yourself?

Backtests overfit levels to historical data, producing results that fail live. Realistic spreads, slippage, and out-of-sample testing matter more than optimizing levels. Data quality varies across markets. How do you backtest level strategies honestly?