#MyStrategyEvolution

My strategy evolution has been a journey of learning, adaptation, and refinement. In the beginning, I relied heavily on instinct and basic technical indicators, often reacting emotionally to market movements. As I gained experience, I started integrating structured risk management rules and diversifying my approach. I moved from short-term scalp trading to swing trading and eventually explored algorithmic models. Through trial and error, I learned the value of backtesting and data-driven decision-making. Market conditions taught me to remain flexible, constantly adjusting strategies to stay relevant. I’ve also embraced continuous education—studying macro trends, blockchain fundamentals, and on-chain data to add depth to my analysis. Over time, I developed a hybrid system combining technical, fundamental, and sentiment analysis. Today, my strategy is disciplined, rules-based, and focused on long-term sustainability. The evolution wasn’t linear, but every setback contributed to a more refined and resilient trading approach. Growth, after all, lies in the lessons learned.