CATI 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 5, 04:00 | Jan 13, 16:00 | Long | $0.0603 | $0.0609 | +1% |
| Dec 1, 00:00 | Dec 13, 04:00 | Long | $0.0601 | $0.0621 | +3.33% |
| Nov 21, 04:00 | Nov 26, 00:00 | Long | $0.0599 | $0.0633 | +5.68% |
| Nov 11, 04:00 | Nov 17, 04:00 | Long | $0.0657 | $0.0627 | -4.57% |
| Oct 28, 16:00 | Nov 7, 16:00 | Long | $0.0814 | $0.0710 | -12.78% |
| Sep 30, 00:00 | Oct 20, 04:00 | Long | $0.0804 | $0.0711 | -11.57% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 50% hit rate on 4h charts balances signal quality with opportunity frequency for CATI.
Low PF (0.26) combined with this win rate makes the setup high-variance. Trade cautiously.
At 6 trades, each position carries higher significance. No room for poor execution.
Volatility clustering in CATI may cause consecutive signals—beware of correlation between trades.
Best results occur when CATI's 4h trend aligns with higher timeframe momentum.
Order book analysis suggests CATI has strong support/resistance levels aligning with Bollinger Bands triggers.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for CATI with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Clear rules-based system for CATI.
- Bollinger Bands is beginner-friendly indicator.
- 4h gives time to analyze before action.
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