LRC 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 26, 01:00 | Jan 27, 07:00 | Long | $0.0477 | $0.0474 | -0.63% |
| Jan 25, 07:00 | Jan 25, 12:00 | Long | $0.0486 | $0.0475 | -2.26% |
| Jan 24, 03:00 | Jan 24, 17:00 | Long | $0.0490 | $0.0485 | -1.02% |
| Jan 23, 18:00 | Jan 23, 20:00 | Long | $0.0500 | $0.0482 | -3.6% |
| Jan 23, 00:00 | Jan 23, 09:00 | Long | $0.0493 | $0.0491 | -0.41% |
| Jan 22, 21:00 | Jan 22, 22:00 | Long | $0.0494 | $0.0491 | -0.61% |
| Jan 21, 15:00 | Jan 21, 16:00 | Long | $0.0510 | $0.0499 | -2.16% |
| Jan 21, 00:00 | Jan 21, 13:00 | Long | $0.0488 | $0.0495 | +1.43% |
| Jan 20, 16:00 | Jan 20, 17:00 | Long | $0.0489 | $0.0485 | -0.82% |
| Jan 20, 11:00 | Jan 20, 15:00 | Long | $0.0501 | $0.0484 | -3.39% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 24.44% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.34x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 90 signals offer many compounding opportunities but require strict execution discipline.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
The 1h timeframe captures optimal trade duration for LRC's typical move completion.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for LRC with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- MACD generates clear entry/exit signals.
- No parameter optimization needed for LRC.
- Robust across multiple market regimes.
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