AWE RSI 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 9, 12:00 | Jan 10, 08:00 | Long | $0.0565 | $0.0591 | +4.6% |
| Jan 7, 18:00 | Jan 8, 05:00 | Long | $0.0576 | $0.0583 | +1.32% |
| Dec 31, 16:00 | Jan 1, 16:00 | Long | $0.0537 | $0.0549 | +2.2% |
| Dec 29, 14:00 | Dec 31, 06:00 | Long | $0.0547 | $0.0555 | +1.59% |
| Dec 25, 10:00 | Dec 29, 08:00 | Long | $0.0566 | $0.0563 | -0.62% |
| Dec 24, 09:00 | Dec 24, 16:00 | Long | $0.0561 | $0.0578 | +3.07% |
| Dec 21, 19:00 | Dec 22, 11:00 | Long | $0.0548 | $0.0560 | +2.17% |
| Dec 17, 01:00 | Dec 19, 09:00 | Long | $0.0547 | $0.0537 | -1.85% |
| Dec 14, 23:00 | Dec 16, 08:00 | Long | $0.0573 | $0.0550 | -4.12% |
| Dec 11, 00:00 | Dec 12, 14:00 | Long | $0.0579 | $0.0592 | +2.23% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (53.85%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
The 0.53 ratio warns: this RSI on AWE requires near-perfect execution to profit.
The 26 trade count provides excellent statistical significance for performance evaluation.
Consider adaptive parameters that adjust to AWE's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Trade duration on 1h typically ranges from 2-5 candles for AWE positions.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for AWE with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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