RPL 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 21, 12:00 | Jan 23, 17:00 | Long | $2.0400 | $2.0900 | +2.45% |
| Jan 18, 23:00 | Jan 19, 19:00 | Long | $2.2100 | $2.1600 | -2.26% |
| Jan 15, 02:00 | Jan 16, 10:00 | Long | $2.1500 | $2.2200 | +3.26% |
| Jan 11, 20:00 | Jan 13, 09:00 | Long | $2.0400 | $2.0200 | -0.98% |
| Jan 9, 18:00 | Jan 10, 15:00 | Long | $2.0800 | $2.1400 | +2.88% |
| Jan 7, 14:00 | Jan 9, 15:00 | Long | $2.1700 | $2.1500 | -0.92% |
| Jan 5, 05:00 | Jan 5, 22:00 | Long | $2.1200 | $2.2100 | +4.25% |
| Jan 3, 07:00 | Jan 4, 00:00 | Long | $2.0500 | $2.1400 | +4.39% |
| Dec 31, 16:00 | Jan 1, 01:00 | Long | $1.8200 | $2.0200 | +10.99% |
| Dec 30, 16:00 | Dec 31, 11:00 | Long | $1.8800 | $1.9200 | +2.13% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 50% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Low profit factor (1.02) indicates potential parameter optimization is needed for RPL.
The 24 trade count reflects balanced signal generation. Quality over quantity approach.
Consider adaptive parameters that adjust to RPL's current volatility regime.
RPL liquidity levels support clean Bollinger Bands execution without significant slippage impact.
This Bollinger Bands configuration excels in trending RPL markets. Avoid during extended consolidation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for RPL with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for RPL.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on RPL may have higher slippage.
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