W 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 8, 12:00 | Jan 14, 16:00 | Long | $0.0357 | $0.0390 | +9.24% |
| Dec 24, 20:00 | Jan 2, 16:00 | Long | $0.0343 | $0.0358 | +4.37% |
| Nov 12, 16:00 | Dec 21, 00:00 | Long | $0.0604 | $0.0351 | -41.89% |
| Nov 3, 12:00 | Nov 7, 16:00 | Long | $0.0556 | $0.0670 | +20.5% |
| Oct 23, 20:00 | Nov 1, 20:00 | Long | $0.0726 | $0.0676 | -6.89% |
| Oct 9, 00:00 | Oct 19, 12:00 | Long | $0.1133 | $0.0757 | -33.19% |
| Sep 23, 20:00 | Oct 2, 04:00 | Long | $0.0996 | $0.1148 | +15.26% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (57.14%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.46x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The small sample (7 trades) means results should be interpreted with caution.
The algorithm capitalizes on W's characteristic volatility patterns on the 4h timeframe.
The algorithm's entry timing is optimized for early-trend participation on the 4h chart.
Consider testing Bollinger Band periods of 18-22 candles for potential W optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for W with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Trailing stops capture extended W moves.
- Take partial profits at 1.5R for RSI trades.
- Exit at 4h candle close for clean fills.
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