MET 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 24, 17:00 | Jan 27, 14:00 | Long | $0.2661 | $0.2468 | -7.25% |
| Jan 22, 10:00 | Jan 23, 05:00 | Long | $0.2697 | $0.2761 | +2.37% |
| Jan 19, 16:00 | Jan 21, 15:00 | Long | $0.2886 | $0.2828 | -2.01% |
| Jan 17, 15:00 | Jan 18, 03:00 | Long | $0.2947 | $0.3253 | +10.38% |
| Jan 14, 23:00 | Jan 16, 08:00 | Long | $0.2659 | $0.2961 | +11.36% |
| Jan 10, 05:00 | Jan 11, 12:00 | Long | $0.2576 | $0.2651 | +2.91% |
| Jan 4, 14:00 | Jan 9, 01:00 | Long | $0.2787 | $0.2719 | -2.44% |
| Dec 31, 06:00 | Jan 1, 17:00 | Long | $0.2518 | $0.2559 | +1.63% |
| Dec 29, 18:00 | Dec 30, 14:00 | Long | $0.2548 | $0.2554 | +0.24% |
| Dec 22, 21:00 | Dec 25, 00:00 | Long | $0.2405 | $0.2443 | +1.58% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Based on 22 executed trades, the 59.09% accuracy is not a fluke but a consistent pattern in MET's behavior.
At 0.95x, consider wider stop-losses to improve average win size on MET.
This trade volume (22) is suitable for traders who prefer selective engagement.
The algorithm capitalizes on MET's characteristic volatility patterns on the 1h timeframe.
Funding rates and open interest can validate RSI signals for MET derivatives traders.
Consider testing Bollinger Band periods of 18-22 candles for potential MET optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for MET with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with MET volatility.
- Drawdown tolerance required for 59.09% win rate.
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