XLM Supertrend 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 17, 15:00 | Dec 17, 16:00 | Long | $0.2200 | $0.2100 | -5.1% |
| Dec 9, 16:00 | Dec 12, 15:00 | Long | $0.2500 | $0.2400 | -5.08% |
| Dec 2, 15:00 | Dec 7, 14:00 | Long | $0.2500 | $0.2300 | -5.26% |
| Oct 19, 10:00 | Oct 30, 04:00 | Long | $0.3200 | $0.3100 | -2.75% |
| Oct 12, 15:00 | Oct 17, 07:00 | Long | $0.3400 | $0.3000 | -12.16% |
| Sep 29, 14:00 | Oct 7, 14:00 | Long | $0.3700 | $0.3900 | +5.07% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (16.67%) is common for breakout strategies on volatile assets like XLM. Focus on risk per trade.
At 0.22x, consider wider stop-losses to improve average win size on XLM.
The limited 6 sample size suggests viewing this as indicative rather than conclusive.
Volatility-adjusted sizing: reduce position size when XLM ATR exceeds 150% of average.
Best results occur when XLM's 1h trend aligns with higher timeframe momentum.
Time-of-day filtering may improve results: analyze when XLM shows strongest Supertrend response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for XLM with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for XLM.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on XLM may have higher slippage.
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