The slow, manual style of trading-strategy development is becoming less useful in a world where automated environments evolve faster than any human-led iteration cycle. While traditional workflows once made sense, they now struggle to keep up with systems that can test, adapt, and optimize continuously. As these environments increasingly remove human bottlenecks from research and execution, spending months refining old-style techniques becomes a poor use of effort. For that reason, I’m changing my approach: away from incremental tuning of legacy methods and toward more sophisticated, automation-native development that aligns with how modern markets and tools actually move.