REZ Bollinger Bands 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, 08:00 | Jan 10, 16:00 | Long | $0.005140 | $0.005550 | +7.98% |
| Dec 28, 20:00 | Dec 31, 00:00 | Long | $0.004540 | $0.004900 | +7.93% |
| Nov 28, 04:00 | Dec 25, 20:00 | Long | $0.006620 | $0.004720 | -28.7% |
| Nov 11, 20:00 | Nov 20, 04:00 | Long | $0.007510 | $0.007810 | +3.99% |
| Oct 28, 16:00 | Nov 7, 16:00 | Long | $0.009810 | $0.008190 | -16.51% |
| Oct 10, 20:00 | Oct 26, 08:00 | Long | $0.0105 | $0.0108 | +2.47% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 66.67% hit rate on REZ suggests strong predictive capability for the current market structure.
At 0.38x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The small sample (6 trades) means results should be interpreted with caution.
Consider adaptive parameters that adjust to REZ's current volatility regime.
Low volatility periods may reduce signal frequency but improve individual trade quality for REZ.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for REZ with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Bollinger Bands generates clear entry/exit signals.
- No parameter optimization needed for REZ.
- Robust across multiple market regimes.
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