ONT 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 14, 16:00 | Jan 19, 09:00 | Long | $0.0686 | $0.0609 | -11.22% |
| Jan 7, 00:00 | Jan 10, 10:00 | Long | $0.0678 | $0.0645 | -4.87% |
| Dec 27, 10:00 | Jan 2, 14:00 | Long | $0.0618 | $0.0633 | +2.43% |
| Dec 4, 02:00 | Dec 5, 20:00 | Long | $0.0730 | $0.0680 | -6.85% |
| Nov 26, 10:00 | Nov 30, 12:00 | Long | $0.0724 | $0.0706 | -2.49% |
| Nov 7, 20:00 | Nov 13, 14:00 | Long | $0.0950 | $0.0838 | -11.79% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 16.67% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.05x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
Low activity (6 signals) indicates the Golden Cross waits for high-conviction setups only.
Consider adaptive parameters that adjust to ONT's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for ONT with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Golden Cross rules are fully automatable.
- No discretionary decisions in entry/exit logic.
- Bot execution eliminates emotional trading on ONT.
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