REZ 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, 08:00 | Jan 25, 20:00 | Long | $0.004600 | $0.004370 | -5% |
| Jan 14, 08:00 | Jan 15, 04:00 | Long | $0.005900 | $0.005680 | -3.73% |
| Jan 10, 16:00 | Jan 13, 04:00 | Long | $0.005550 | $0.005580 | +0.54% |
| Jan 5, 20:00 | Jan 6, 16:00 | Long | $0.005730 | $0.005430 | -5.24% |
| Jan 4, 12:00 | Jan 5, 04:00 | Long | $0.005610 | $0.005380 | -4.1% |
| Jan 2, 16:00 | Jan 3, 08:00 | Long | $0.005350 | $0.005320 | -0.56% |
| Dec 30, 16:00 | Jan 2, 08:00 | Long | $0.004740 | $0.005240 | +10.55% |
| Dec 24, 20:00 | Dec 27, 12:00 | Long | $0.004530 | $0.004660 | +2.87% |
| Dec 24, 00:00 | Dec 24, 04:00 | Long | $0.004540 | $0.004420 | -2.64% |
| Dec 19, 08:00 | Dec 23, 04:00 | Long | $0.004410 | $0.004470 | +1.36% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 26.67% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.37x, consider wider stop-losses to improve average win size on REZ.
This volume (30 trades) means the MACD is highly responsive to REZ price action.
Funding rates and open interest can validate MACD signals for REZ derivatives traders.
Consider 4h for entries but monitor daily charts for overall trend context.
The algorithm capitalizes on REZ's characteristic volatility patterns on the 4h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for REZ with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with REZ volatility.
- Drawdown tolerance required for 26.67% win rate.
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