ZK MACD Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 21, 20:00 | Jan 25, 16:00 | Long | $0.0313 | $0.0274 | -12.61% |
| Jan 18, 20:00 | Jan 19, 00:00 | Long | $0.0357 | $0.0315 | -11.92% |
| Jan 13, 08:00 | Jan 15, 04:00 | Long | $0.0352 | $0.0351 | -0.23% |
| Jan 10, 04:00 | Jan 11, 12:00 | Long | $0.0345 | $0.0343 | -0.46% |
| Jan 6, 00:00 | Jan 7, 08:00 | Long | $0.0340 | $0.0345 | +1.47% |
| Jan 1, 12:00 | Jan 5, 04:00 | Long | $0.0304 | $0.0323 | +6.26% |
| Dec 19, 12:00 | Dec 28, 20:00 | Long | $0.0265 | $0.0296 | +11.5% |
| Dec 16, 12:00 | Dec 17, 16:00 | Long | $0.0294 | $0.0276 | -6.18% |
| Dec 15, 04:00 | Dec 15, 20:00 | Long | $0.0319 | $0.0291 | -8.95% |
| Dec 8, 04:00 | Dec 11, 04:00 | Long | $0.0338 | $0.0334 | -1.16% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (22.22%) is common for breakout strategies on volatile assets like ZK. Focus on risk per trade.
At 0.54x, consider wider stop-losses to improve average win size on ZK.
The 27 signals offer many compounding opportunities but require strict execution discipline.
The algorithm's entry timing is optimized for early-trend participation on the 4h chart.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for ZK with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- 4h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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