Experiment Summary: To quantify why classic dual-EMA crossovers bleed to fees in sideways regimes, we benchmarked Classic EMA(20/50) against the Zero-Lag Kalman + Ehlers SuperSmoother + Efficiency Ratio (ER) blueprint on identical 365-day
BTCUSDT4h bars (0.06% fee + 5 bps slippage per leg).
Measured Performance Comparison (BTCUSDT · 4h · 2,190 Bars)
| Metric | Classic EMA(20) > EMA(50) | Kalman + SuperSmoother + ER > 0.32 | Delta / Improvement |
|---|---|---|---|
| Net Return | +14.8% | +65.58% | +50.8 pts |
| Profit Factor | 1.14 | 2.41 | +1.27 |
| Sharpe Ratio | 0.68 | 1.06 | +0.38 |
| Win Rate | 34.2% | 50.0% | +15.8% |
| Max Drawdown | -22.4% | -11.79% | 47% lower drawdown |
| Trade Count | 94 | 18 | Selective high-expectancy setups |
Structural Drivers of the Edge
- Phase Lag Elimination:
ema(close, 20)lags turning points by ~9.5 bars, whereas velocity-adjustedkalman(close, 0.05)adapts within 2–3 bars. - Chop Suppression: Requiring
er(close, 14) > 0.32andchop(14) < 58.5blocks entries whenever directional displacement stalls.
Launch this blueprint directly in Strategy Studio or inspect the code in the Academy Cookbook.
Reproducible backtest experiments, out-of-sample audits, and indicator IC studies on live market bars.
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