XLM 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 14, 17:00 | Jan 16, 22:00 | Long | $0.2393 | $0.2271 | -5.1% |
| Jan 3, 17:00 | Jan 10, 02:00 | Long | $0.2201 | $0.2284 | +3.77% |
| Dec 28, 10:00 | Dec 31, 04:00 | Long | $0.2235 | $0.2088 | -6.58% |
| Dec 23, 02:00 | Dec 24, 20:00 | Long | $0.2204 | $0.2124 | -3.63% |
| Dec 10, 20:00 | Dec 12, 16:00 | Long | $0.2574 | $0.2361 | -8.28% |
| Dec 4, 04:00 | Dec 6, 06:00 | Long | $0.2570 | $0.2414 | -6.07% |
| Nov 24, 23:00 | Dec 1, 06:00 | Long | $0.2562 | $0.2309 | -9.88% |
| Nov 9, 17:00 | Nov 13, 20:00 | Long | $0.2801 | $0.2652 | -5.32% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 12.5% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low PF (0.07) combined with this win rate makes the setup high-variance. Trade cautiously.
At 8 trades, each position carries higher significance. No room for poor execution.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Kelly Criterion suggests minimal position sizing for this edge.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for XLM with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Golden Cross rules are fully automatable.
- No discretionary decisions in entry/exit logic.
- Bot execution eliminates emotional trading on XLM.
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