RUNE 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 |
|---|---|---|---|---|---|
| Jan 12, 16:00 | Jan 18, 23:00 | Long | $0.6040 | $0.6550 | +8.44% |
| Dec 26, 02:00 | Dec 26, 15:00 | Long | $0.5620 | $0.5470 | -2.67% |
| Dec 2, 15:00 | Dec 15, 15:00 | Long | $0.6540 | $0.6170 | -5.66% |
| Nov 26, 17:00 | Dec 1, 00:00 | Long | $0.6490 | $0.5990 | -7.7% |
| Nov 9, 04:00 | Nov 20, 16:00 | Long | $0.8550 | $0.6720 | -21.4% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like RUNE. Focus on risk per trade.
Low profit factor (0.18) indicates potential parameter optimization is needed for RUNE.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
The algorithm capitalizes on RUNE's characteristic volatility patterns on the 1h timeframe.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Consider testing Bollinger Band periods of 18-22 candles for potential RUNE optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for RUNE with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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