NOT 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 |
|---|---|---|---|---|---|
| Dec 12, 20:00 | Dec 21, 00:00 | Long | $0.000571 | $0.000519 | -9.11% |
| Dec 6, 00:00 | Dec 7, 00:00 | Long | $0.000549 | $0.000657 | +19.67% |
| Nov 30, 00:00 | Dec 3, 08:00 | Long | $0.000603 | $0.000585 | -2.99% |
| Nov 11, 20:00 | Nov 26, 04:00 | Long | $0.000700 | $0.000603 | -13.86% |
| Nov 3, 12:00 | Nov 7, 16:00 | Long | $0.000655 | $0.000790 | +20.61% |
| Oct 28, 20:00 | Nov 1, 20:00 | Long | $0.000785 | $0.000795 | +1.27% |
| Oct 10, 20:00 | Oct 19, 12:00 | Long | $0.000914 | $0.000864 | -5.47% |
| Sep 23, 20:00 | Oct 2, 08:00 | Long | $0.001651 | $0.001632 | -1.15% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (37.5%) is common for breakout strategies on volatile assets like NOT. Focus on risk per trade.
At 1.07x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 8 trades, this is a patient, low-frequency strategy for NOT.
Volatility-adjusted sizing: reduce position size when NOT ATR exceeds 150% of average.
Consider testing Bollinger Band periods of 18-22 candles for potential NOT optimization.
The 4h timeframe captures optimal trade duration for NOT's typical move completion.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for NOT 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 NOT volatility.
- Drawdown tolerance required for 37.5% win rate.
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