IOTX 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 1, 04:00 | Jan 15, 23:00 | Long | $0.007470 | $0.008150 | +9.1% |
| Dec 26, 01:00 | Dec 31, 06:00 | Long | $0.007170 | $0.007240 | +0.98% |
| Dec 12, 14:00 | Dec 12, 15:00 | Long | $0.008400 | $0.007980 | -5% |
| Dec 9, 06:00 | Dec 12, 02:00 | Long | $0.008200 | $0.008340 | +1.71% |
| Nov 28, 22:00 | Nov 30, 06:00 | Long | $0.009260 | $0.008980 | -3.02% |
| Nov 8, 21:00 | Nov 13, 19:00 | Long | $0.0117 | $0.0101 | -13.05% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 50% win rate is within expected range for Golden Cross algorithms. Focus shifts to risk-reward optimization.
At 0.40x, consider wider stop-losses to improve average win size on IOTX.
Low activity (6 signals) indicates the Golden Cross waits for high-conviction setups only.
The algorithm capitalizes on IOTX's characteristic volatility patterns on the 1h timeframe.
Funding rates and open interest can validate Golden Cross signals for IOTX derivatives traders.
Consider testing Bollinger Band periods of 18-22 candles for potential IOTX optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for IOTX with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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