#MyStrategyEvolution #MyStrategyevolution

My Bitcoin strategy began with simple moving average crossovers and momentum filters. Over time, I optimized parameters using grid search and accounted for trading fees. Realizing the limits of static rules, I added regime filters like Supertrend to improve trend identification and introduced position scaling instead of all-in/out trades. I’m now evolving toward multi-strategy diversification, combining trend-following with mean-reversion setups and walk-forward testing for adaptability. Each iteration is versioned, tracked, and tested over different market regimes. This structured evolution helps reduce drawdowns, avoid overfitting, and stay agile. The goal: a robust, adaptive system that thrives across volatile crypto cycles.