IOTA Golden Cross 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 2, 21:00 | Jan 11, 03:00 | Long | $0.0934 | $0.1013 | +8.46% |
| Dec 28, 18:00 | Dec 30, 22:00 | Long | $0.0861 | $0.0841 | -2.32% |
| Dec 8, 12:00 | Dec 12, 10:00 | Long | $0.1032 | $0.1018 | -1.36% |
| Nov 27, 16:00 | Nov 29, 17:00 | Long | $0.1193 | $0.1120 | -6.12% |
| Nov 8, 07:00 | Nov 14, 09:00 | Long | $0.1436 | $0.1322 | -7.94% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (20%) is common for breakout strategies on volatile assets like IOTA. Focus on risk per trade.
At 0.36x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Compound growth strategy: reinvest 25% of profits into position size.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for IOTA with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for IOTA.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on IOTA may have higher slippage.
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