AAVE 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 19, 11:00 | Long | $174.35 | $164.23 | -5.8% |
| Jan 3, 06:00 | Jan 10, 08:00 | Long | $166.34 | $165.34 | -0.6% |
| Dec 3, 18:00 | Dec 15, 11:00 | Long | $194.06 | $195.43 | +0.71% |
| Nov 25, 00:00 | Dec 1, 12:00 | Long | $179.01 | $168.42 | -5.92% |
| Nov 10, 03:00 | Nov 14, 00:00 | Long | $220.05 | $197.58 | -10.21% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like AAVE. Focus on risk per trade.
At 0.03x, consider wider stop-losses to improve average win size on AAVE.
With only 5 trades, this is a patient, low-frequency strategy for AAVE.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for AAVE 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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