SFP Golden Cross 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 23, 17:00 | Jan 26, 00:00 | Long | $0.3905 | $0.3463 | -11.32% |
| Dec 24, 03:00 | Jan 20, 05:00 | Long | $0.3062 | $0.3648 | +19.14% |
| Dec 4, 05:00 | Dec 14, 19:00 | Long | $0.3385 | $0.3274 | -3.28% |
| Nov 27, 08:00 | Dec 1, 18:00 | Long | $0.3539 | $0.3057 | -13.62% |
| Nov 17, 02:00 | Nov 21, 06:00 | Long | $0.3572 | $0.3317 | -7.14% |
| Nov 7, 19:00 | Nov 13, 02:00 | Long | $0.3700 | $0.3444 | -6.92% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (16.67%) is common for breakout strategies on volatile assets like SFP. Focus on risk per trade.
At 0.38x, consider wider stop-losses to improve average win size on SFP.
With only 6 trades, this is a patient, low-frequency strategy for SFP.
Consider 1h for entries but monitor daily charts for overall trend context.
This Golden Cross configuration excels in trending SFP markets. Avoid during extended consolidation.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for SFP with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 16.67% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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