SFP Bollinger Bands 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 24, 15:00 | Jan 26, 18:00 | Long | $0.3687 | $0.3536 | -4.1% |
| Jan 18, 02:00 | Jan 23, 00:00 | Long | $0.3701 | $0.3666 | -0.95% |
| Jan 15, 01:00 | Jan 15, 13:00 | Long | $0.3655 | $0.3747 | +2.52% |
| Jan 11, 20:00 | Jan 13, 05:00 | Long | $0.3547 | $0.3634 | +2.45% |
| Jan 6, 17:00 | Jan 8, 18:00 | Long | $0.3514 | $0.3542 | +0.8% |
| Dec 31, 18:00 | Jan 1, 17:00 | Long | $0.3191 | $0.3268 | +2.41% |
| Dec 28, 15:00 | Dec 29, 23:00 | Long | $0.3118 | $0.3165 | +1.51% |
| Dec 25, 22:00 | Dec 27, 21:00 | Long | $0.3083 | $0.3139 | +1.82% |
| Dec 24, 05:00 | Dec 24, 22:00 | Long | $0.3033 | $0.3109 | +2.51% |
| Dec 17, 17:00 | Dec 22, 22:00 | Long | $0.3148 | $0.3089 | -1.87% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 66.67% hit rate on SFP suggests strong predictive capability for the current market structure.
The 1.14 ratio warns: this Bollinger Bands on SFP requires near-perfect execution to profit.
The 24 trade count reflects balanced signal generation. Quality over quantity approach.
This Bollinger Bands configuration excels in trending SFP markets. Avoid during extended consolidation.
Consider adaptive parameters that adjust to SFP's current volatility regime.
Low volatility periods may reduce signal frequency but improve individual trade quality for SFP.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for SFP with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for SFP.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on SFP may have higher slippage.
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