XLM Golden Cross Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Oct 4, 00:00 | Oct 12, 00:00 | Long | $0.4000 | $0.3200 | -18.46% |
| Sep 16, 00:00 | Sep 26, 00:00 | Long | $0.3900 | $0.3500 | -9.38% |
| Aug 13, 00:00 | Aug 19, 00:00 | Long | $0.4500 | $0.4100 | -9.89% |
| Jul 10, 00:00 | Aug 7, 00:00 | Long | $0.2900 | $0.4200 | +42.19% |
| Apr 25, 00:00 | May 30, 00:00 | Long | $0.2800 | $0.2700 | -6.79% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like XLM. Focus on risk per trade.
Low profit factor (0.71) indicates potential parameter optimization is needed for XLM.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
Consider adaptive parameters that adjust to XLM's current volatility regime.
XLM liquidity levels support clean Golden Cross execution without significant slippage impact.
During strong XLM trends, this Golden Cross captures continuation moves effectively.
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
- Best performance in trending XLM markets.
- 4h resolution captures key reversals.
- Avoid during low-liquidity sessions.
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