RUNE 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 13, 18:00 | Jan 20, 08:00 | Long | $0.6170 | $0.6190 | +0.32% |
| Dec 31, 16:00 | Jan 9, 09:00 | Long | $0.5620 | $0.5830 | +3.74% |
| Dec 3, 17:00 | Dec 12, 17:00 | Long | $0.6810 | $0.6400 | -6.02% |
| Nov 27, 19:00 | Dec 1, 03:00 | Long | $0.6550 | $0.5930 | -9.47% |
| Nov 9, 06:00 | Nov 13, 07:00 | Long | $0.7980 | $0.7960 | -0.25% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (40%) is common for breakout strategies on volatile assets like RUNE. Focus on risk per trade.
Low profit factor (0.22) indicates potential parameter optimization is needed for RUNE.
With only 5 trades, this is a patient, low-frequency strategy for RUNE.
RUNE liquidity levels support clean Golden Cross execution without significant slippage impact.
Kelly Criterion suggests minimal position sizing for this edge.
The algorithm capitalizes on RUNE's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for RUNE with live market data, AI analysis, and trading recommendations.
About The Golden Cross 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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