SAND RSI 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 12, 20:00 | Jan 14, 04:00 | Long | $0.1138 | $0.1278 | +12.3% |
| Dec 31, 08:00 | Jan 3, 00:00 | Long | $0.1122 | $0.1196 | +6.6% |
| Dec 22, 20:00 | Dec 29, 00:00 | Long | $0.1142 | $0.1172 | +2.63% |
| Dec 5, 12:00 | Dec 21, 04:00 | Long | $0.1441 | $0.1201 | -16.66% |
| Nov 30, 00:00 | Dec 3, 08:00 | Long | $0.1550 | $0.1527 | -1.48% |
| Nov 13, 16:00 | Nov 24, 16:00 | Long | $0.1839 | $0.1593 | -13.38% |
| Nov 3, 12:00 | Nov 7, 00:00 | Long | $0.1822 | $0.1852 | +1.65% |
| Oct 23, 20:00 | Nov 1, 20:00 | Long | $0.2070 | $0.2082 | +0.58% |
| Oct 16, 00:00 | Oct 19, 12:00 | Long | $0.2155 | $0.2110 | -2.09% |
| Oct 9, 00:00 | Oct 13, 04:00 | Long | $0.2668 | $0.2216 | -16.94% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 50% win rate is within expected range for RSI algorithms. Focus shifts to risk-reward optimization.
Low profit factor (0.38) indicates potential parameter optimization is needed for SAND.
Moderate activity (12 signals) allows careful analysis of each SAND trading opportunity.
Time-of-day filtering may improve results: analyze when SAND shows strongest RSI response.
Volatility clustering in SAND may cause consecutive signals—beware of correlation between trades.
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 RSI signal for SAND with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- 50% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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