VET 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, 12:00 | Jan 14, 00:00 | Long | $0.0116 | $0.0123 | +5.79% |
| Dec 31, 16:00 | Jan 2, 16:00 | Long | $0.0104 | $0.0115 | +10.1% |
| Dec 11, 00:00 | Dec 27, 16:00 | Long | $0.0119 | $0.0110 | -8.12% |
| Dec 1, 00:00 | Dec 9, 16:00 | Long | $0.0124 | $0.0131 | +6.07% |
| Nov 12, 16:00 | Nov 24, 16:00 | Long | $0.0166 | $0.0137 | -17.39% |
| Oct 28, 20:00 | Nov 7, 16:00 | Long | $0.0167 | $0.0167 | -0.12% |
| Oct 10, 16:00 | Oct 20, 04:00 | Long | $0.0213 | $0.0182 | -14.52% |
| Sep 22, 04:00 | Oct 1, 08:00 | Long | $0.0233 | $0.0226 | -3.08% |
| Sep 15, 08:00 | Sep 18, 00:00 | Long | $0.0242 | $0.0252 | +4.21% |
| Aug 25, 20:00 | Sep 8, 08:00 | Long | $0.0242 | $0.0241 | -0.58% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 45.45% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
At 0.55x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 11 trade count reflects balanced signal generation. Quality over quantity approach.
Time-of-day filtering may improve results: analyze when VET shows strongest Bollinger Bands response.
Volatility clustering in VET may cause consecutive signals—beware of correlation between trades.
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 VET with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with VET volatility.
- Drawdown tolerance required for 45.45% win rate.
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