RSR MACD Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 27, 20:00 | Jan 28, 04:00 | Long | $0.002369 | $0.002329 | -1.69% |
| Jan 26, 01:00 | Jan 27, 05:00 | Long | $0.002268 | $0.002323 | +2.43% |
| Jan 23, 17:00 | Jan 24, 17:00 | Long | $0.002358 | $0.002366 | +0.34% |
| Jan 23, 13:00 | Jan 23, 15:00 | Long | $0.002330 | $0.002292 | -1.63% |
| Jan 23, 01:00 | Jan 23, 09:00 | Long | $0.002325 | $0.002292 | -1.42% |
| Jan 21, 20:00 | Jan 22, 08:00 | Long | $0.002366 | $0.002342 | -1.01% |
| Jan 21, 01:00 | Jan 21, 17:00 | Long | $0.002336 | $0.002264 | -3.08% |
| Jan 19, 13:00 | Jan 20, 09:00 | Long | $0.002380 | $0.002386 | +0.25% |
| Jan 18, 19:00 | Jan 18, 23:00 | Long | $0.002679 | $0.002618 | -2.28% |
| Jan 16, 19:00 | Jan 17, 18:00 | Long | $0.002619 | $0.002781 | +6.19% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 27.63% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.56x, consider wider stop-losses to improve average win size on RSR.
The 76 signals offer many compounding opportunities but require strict execution discipline.
Best results occur when RSR's 1h trend aligns with higher timeframe momentum.
Consider testing Bollinger Band periods of 18-22 candles for potential RSR optimization.
Volatility-adjusted sizing: reduce position size when RSR ATR exceeds 150% of average.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for RSR 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 RSR volatility.
- Drawdown tolerance required for 27.63% win rate.
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