IOTA Bollinger Bands 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 25, 07:00 | Jan 27, 20:00 | Long | $0.0869 | $0.0879 | +1.15% |
| Jan 22, 15:00 | Jan 23, 17:00 | Long | $0.0862 | $0.0906 | +5.1% |
| Jan 18, 02:00 | Jan 21, 02:00 | Long | $0.0940 | $0.0872 | -7.23% |
| Jan 14, 22:00 | Jan 17, 15:00 | Long | $0.1015 | $0.0970 | -4.43% |
| Jan 10, 22:00 | Jan 13, 13:00 | Long | $0.1016 | $0.0976 | -3.94% |
| Jan 7, 14:00 | Jan 8, 17:00 | Long | $0.1070 | $0.1096 | +2.43% |
| Dec 28, 18:00 | Jan 1, 15:00 | Long | $0.0861 | $0.0821 | -4.65% |
| Dec 26, 00:00 | Dec 27, 15:00 | Long | $0.0820 | $0.0862 | +5.12% |
| Dec 22, 11:00 | Dec 25, 15:00 | Long | $0.0856 | $0.0842 | -1.64% |
| Dec 21, 01:00 | Dec 22, 08:00 | Long | $0.0892 | $0.0888 | -0.45% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
This configuration shows 53.85% precision, typical for trend-following systems on IOTA. Expect streaks in both directions.
At 0.87x, consider wider stop-losses to improve average win size on IOTA.
The 26 signals offer many compounding opportunities but require strict execution discipline.
Low volatility periods may reduce signal frequency but improve individual trade quality for IOTA.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Consider adaptive parameters that adjust to IOTA's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for IOTA 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 IOTA.
- Robust across multiple market regimes.
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