BNSOL 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 |
|---|---|---|---|---|---|
| Dec 29, 02:00 | Jan 19, 05:00 | Long | $140.5 | $146.3 | +4.13% |
| Dec 23, 16:00 | Dec 24, 02:00 | Long | $136 | $133.4 | -1.91% |
| Dec 13, 14:00 | Dec 14, 02:00 | Long | $145 | $144.9 | -0.07% |
| Dec 10, 04:00 | Dec 10, 11:00 | Long | $151.2 | $149.3 | -1.26% |
| Dec 4, 01:00 | Dec 6, 16:00 | Long | $156.5 | $144.7 | -7.54% |
| Nov 25, 13:00 | Dec 1, 01:00 | Long | $146.6 | $138.9 | -5.25% |
| Nov 10, 20:00 | Nov 12, 22:00 | Long | $181.6 | $166.4 | -8.37% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 14.29% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.15x, consider wider stop-losses to improve average win size on BNSOL.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Time-of-day filtering may improve results: analyze when BNSOL shows strongest Golden Cross response.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for BNSOL with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 14.29% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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