The fastest path to better deployment is learning to reject more strategies earlier.
Freeze the logic and capital assumptions before you inspect performance so the test reflects the original thesis instead of a moving target.
Test multiple periods, symbols, and market states to see whether the system's behavior survives outside the one obvious window.
Drawdown duration, loss clustering, and recovery quality usually matter more operationally than the headline return number.
A clean workflow ends with an explicit decision. Strategies that stay forever in maybe-mode consume time and add noise to the desk.
A backtest that ignores costs lies. Each round-trip pays commission and slippage. See how a thin gross edge survives — or doesn't — once real costs are modelled.
Do not tune until the bad period disappears.