REQ 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, 00:00 | Jan 27, 13:00 | Long | $0.1064 | $0.1059 | -0.47% |
| Jan 26, 01:00 | Jan 26, 12:00 | Long | $0.1065 | $0.1053 | -1.13% |
| Jan 25, 12:00 | Jan 25, 14:00 | Long | $0.1072 | $0.1062 | -0.93% |
| Jan 24, 18:00 | Jan 25, 06:00 | Long | $0.1067 | $0.1066 | -0.09% |
| Jan 24, 02:00 | Jan 24, 12:00 | Long | $0.1065 | $0.1063 | -0.19% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.1072 | $0.1057 | -1.4% |
| Jan 22, 20:00 | Jan 23, 08:00 | Long | $0.1065 | $0.1059 | -0.56% |
| Jan 21, 19:00 | Jan 22, 06:00 | Long | $0.1057 | $0.1059 | +0.19% |
| Jan 21, 14:00 | Jan 21, 18:00 | Long | $0.1053 | $0.1050 | -0.28% |
| Jan 20, 10:00 | Jan 21, 13:00 | Long | $0.1045 | $0.1047 | +0.19% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (16.51%) is common for breakout strategies on volatile assets like REQ. Focus on risk per trade.
At 0.37x, consider wider stop-losses to improve average win size on REQ.
The 109 signals offer many compounding opportunities but require strict execution discipline.
The algorithm's entry timing is optimized for early-trend participation on the 1h 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 REQ 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 REQ.
- Robust across multiple market regimes.
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