WIF 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 12, 08:00 | Jan 13, 20:00 | Long | $0.3710 | $0.4030 | +8.63% |
| Dec 15, 16:00 | Jan 2, 04:00 | Long | $0.3670 | $0.3010 | -17.98% |
| Nov 30, 20:00 | Dec 8, 08:00 | Long | $0.3660 | $0.3900 | +6.56% |
| Nov 12, 16:00 | Nov 24, 16:00 | Long | $0.4510 | $0.3670 | -18.63% |
| Oct 29, 00:00 | Nov 7, 16:00 | Long | $0.5260 | $0.4930 | -6.27% |
| Oct 22, 16:00 | Oct 26, 08:00 | Long | $0.4950 | $0.5610 | +13.33% |
| Oct 4, 12:00 | Oct 20, 00:00 | Long | $0.7470 | $0.5480 | -26.64% |
| Sep 15, 08:00 | Oct 1, 12:00 | Long | $0.8810 | $0.7560 | -14.19% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 37.5% accuracy warns of extended losing streaks. Psychological preparation is essential for this WIF setup.
At 0.24x, consider wider stop-losses to improve average win size on WIF.
The small sample (8 trades) means results should be interpreted with caution.
Consider adaptive parameters that adjust to WIF's current volatility regime.
Funding rates and open interest can validate Bollinger Bands signals for WIF derivatives traders.
The algorithm's entry timing is optimized for early-trend participation on the 4h chart.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for WIF with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Trailing stops capture extended WIF moves.
- Take partial profits at 1.5R for Bollinger Bands trades.
- Exit at 4h candle close for clean fills.
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