RPL Supertrend 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 10, 15:00 | Jan 19, 00:00 | Long | $2.1400 | $2.0200 | -5.61% |
| Dec 19, 20:00 | Jan 6, 16:00 | Long | $2.1400 | $2.1900 | +2.34% |
| Dec 9, 15:00 | Dec 12, 15:00 | Long | $2.4200 | $2.1600 | -10.74% |
| Dec 2, 15:00 | Dec 5, 16:00 | Long | $2.4900 | $2.3700 | -4.82% |
| Nov 28, 08:00 | Dec 1, 00:00 | Long | $2.6600 | $2.3500 | -11.65% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like RPL. Focus on risk per trade.
At 0.06x, consider wider stop-losses to improve average win size on RPL.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
Time-of-day filtering may improve results: analyze when RPL shows strongest Supertrend response.
Volatility-adjusted sizing: reduce position size when RPL ATR exceeds 150% of average.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for RPL with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with RPL.
- Automated execution recommended.
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