ZK 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 19, 11:00 | Jan 26, 10:00 | Long | $0.0318 | $0.0279 | -12.18% |
| Jan 17, 23:00 | Jan 18, 18:00 | Long | $0.0343 | $0.0354 | +3.27% |
| Jan 15, 00:00 | Jan 16, 08:00 | Long | $0.0353 | $0.0351 | -0.54% |
| Jan 6, 22:00 | Jan 13, 07:00 | Long | $0.0369 | $0.0350 | -5.14% |
| Jan 5, 06:00 | Jan 5, 20:00 | Long | $0.0320 | $0.0341 | +6.69% |
| Jan 3, 11:00 | Jan 4, 00:00 | Long | $0.0316 | $0.0326 | +3.07% |
| Dec 31, 06:00 | Jan 1, 07:00 | Long | $0.0293 | $0.0294 | +0.1% |
| Dec 28, 05:00 | Dec 30, 16:00 | Long | $0.0316 | $0.0301 | -4.59% |
| Dec 24, 13:00 | Dec 25, 03:00 | Long | $0.0275 | $0.0288 | +4.51% |
| Dec 21, 13:00 | Dec 22, 08:00 | Long | $0.0267 | $0.0279 | +4.72% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 52.17% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Low PF (1.13) combined with this win rate makes the setup high-variance. Trade cautiously.
At 23 trades, the algorithm filters noise while capturing significant ZK moves.
Order book analysis suggests ZK has strong support/resistance levels aligning with RSI triggers.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for ZK 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 ZK volatility.
- Drawdown tolerance required for 52.17% win rate.
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