IOTX Supertrend 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 10, 19:00 | Jan 11, 10:00 | Long | $0.009190 | $0.008840 | -3.81% |
| Dec 24, 12:00 | Jan 9, 08:00 | Long | $0.007130 | $0.008530 | +19.64% |
| Dec 2, 15:00 | Dec 12, 15:00 | Long | $0.008470 | $0.007980 | -5.79% |
| Nov 23, 22:00 | Dec 1, 00:00 | Long | $0.009750 | $0.008380 | -14.05% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (25%) is common for breakout strategies on volatile assets like IOTX. Focus on risk per trade.
At 0.63x, consider wider stop-losses to improve average win size on IOTX.
The limited 4 sample size suggests viewing this as indicative rather than conclusive.
This Supertrend configuration excels in trending IOTX markets. Avoid during extended consolidation.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Volatility clustering in IOTX may cause consecutive signals—beware of correlation between trades.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for IOTX with live market data, AI analysis, and trading recommendations.
About The Supertrend 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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