AAVE Bollinger Bands 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 25, 03:00 | Jan 27, 14:00 | Long | $155.14 | $155.74 | +0.39% |
| Jan 22, 15:00 | Jan 23, 17:00 | Long | $155.82 | $160.52 | +3.02% |
| Jan 20, 07:00 | Jan 21, 21:00 | Long | $161.54 | $162.15 | +0.38% |
| Jan 19, 00:00 | Jan 19, 19:00 | Long | $162.48 | $165.49 | +1.85% |
| Jan 17, 22:00 | Jan 18, 17:00 | Long | $174.16 | $175.75 | +0.91% |
| Jan 15, 03:00 | Jan 16, 21:00 | Long | $173.59 | $175.71 | +1.22% |
| Jan 12, 09:00 | Jan 13, 05:00 | Long | $164.73 | $170.6 | +3.56% |
| Jan 6, 18:00 | Jan 9, 15:00 | Long | $169.92 | $169.01 | -0.54% |
| Jan 5, 06:00 | Jan 5, 16:00 | Long | $162.1 | $169.21 | +4.39% |
| Dec 30, 21:00 | Jan 1, 17:00 | Long | $149.26 | $147.71 | -1.04% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 59.26% win rate positions this Bollinger Bands configuration in the top tier of tested setups for AAVE. Historical data suggests strong signal reliability.
The 1.22 ratio is respectable. Focus on reducing drawdowns to improve overall performance.
This volume (27 trades) means the Bollinger Bands is highly responsive to AAVE price action.
During strong AAVE trends, this Bollinger Bands captures continuation moves effectively.
Time-of-day filtering may improve results: analyze when AAVE shows strongest Bollinger Bands response.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for AAVE with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- 59.26% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us