SFP 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, 12:00 | Long | $0.3503 | $0.3595 | +2.63% |
| Jan 25, 05:00 | Jan 25, 16:00 | Long | $0.3588 | $0.3501 | -2.42% |
| Jan 23, 17:00 | Jan 23, 19:00 | Long | $0.3905 | $0.3858 | -1.2% |
| Jan 22, 22:00 | Jan 23, 14:00 | Long | $0.3635 | $0.3811 | +4.84% |
| Jan 21, 20:00 | Jan 22, 16:00 | Long | $0.3505 | $0.3574 | +1.97% |
| Jan 21, 14:00 | Jan 21, 17:00 | Long | $0.3512 | $0.3406 | -3.02% |
| Jan 21, 02:00 | Jan 21, 13:00 | Long | $0.3534 | $0.3469 | -1.84% |
| Jan 19, 07:00 | Jan 20, 04:00 | Long | $0.3686 | $0.3646 | -1.09% |
| Jan 18, 19:00 | Jan 18, 23:00 | Long | $0.3703 | $0.3658 | -1.22% |
| Jan 16, 18:00 | Jan 17, 20:00 | Long | $0.3678 | $0.3754 | +2.07% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (29.67%) is common for breakout strategies on volatile assets like SFP. Focus on risk per trade.
Low profit factor (0.81) indicates potential parameter optimization is needed for SFP.
With 91 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Volatility-adjusted sizing: reduce position size when SFP ATR exceeds 150% of average.
Low volatility periods may reduce signal frequency but improve individual trade quality for SFP.
The 1h chart captures SFP's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for SFP 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 SFP volatility.
- Drawdown tolerance required for 29.67% win rate.
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