SAND Bollinger Bands Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 8, 12:00 | Jan 14, 00:00 | Long | $0.1162 | $0.1283 | +10.41% |
| Dec 31, 16:00 | Jan 2, 00:00 | Long | $0.1070 | $0.1173 | +9.63% |
| Dec 12, 16:00 | Dec 28, 00:00 | Long | $0.1297 | $0.1159 | -10.64% |
| Nov 29, 16:00 | Dec 9, 12:00 | Long | $0.1549 | $0.1458 | -5.87% |
| Nov 11, 20:00 | Nov 24, 16:00 | Long | $0.1970 | $0.1593 | -19.14% |
| Oct 30, 08:00 | Nov 7, 04:00 | Long | $0.2052 | $0.1896 | -7.6% |
| Oct 5, 16:00 | Oct 20, 04:00 | Long | $0.2746 | $0.2153 | -21.6% |
| Sep 22, 00:00 | Sep 28, 20:00 | Long | $0.2837 | $0.2704 | -4.69% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 25% accuracy warns of extended losing streaks. Psychological preparation is essential for this SAND setup.
Low profit factor (0.15) indicates potential parameter optimization is needed for SAND.
Low activity (8 signals) indicates the Bollinger Bands waits for high-conviction setups only.
Kelly Criterion suggests minimal position sizing for this edge.
SAND liquidity levels support clean Bollinger Bands execution without significant slippage impact.
The algorithm capitalizes on SAND's characteristic volatility patterns on the 4h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for SAND with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- 4h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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