How to Add Market Regime Filtering to Any Crypto Trading Strategy Every backtest looks great until you run it live through a choppy market. The strategy that returned 40% in a trending quarter suddenly bleeds 15-30% of those gains when the regime shifts to sideways price action. This is the single most common failure mode in algorithmic crypto trading, and the fix is surprisingly simple. The Problem: Strategies Are Regime-Dependent Most trading strategies — momentum, mean-reversion, breakout, crossover — are implicitly designed for a specific market condition. A trend-following system prints money during sustained bull or bear moves. But when the market enters a chop regime, that same system generates false signal after false signal, each one taking a small bite out of your capital. The math is unforgiving. If your strategy gains 25% during a trending phase and then loses 18% during the subsequent chop, your net return is barely 2.5%.…