THETA 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, 13:00 | Jan 20, 18:00 | Long | $0.3190 | $0.2980 | -6.58% |
| Jan 2, 07:00 | Jan 11, 01:00 | Long | $0.2780 | $0.3010 | +8.27% |
| Dec 29, 09:00 | Dec 31, 11:00 | Long | $0.2750 | $0.2670 | -2.91% |
| Dec 7, 23:00 | Dec 15, 17:00 | Long | $0.3300 | $0.3170 | -3.94% |
| Dec 4, 15:00 | Dec 5, 19:00 | Long | $0.3490 | $0.3290 | -5.73% |
| Nov 27, 15:00 | Nov 29, 23:00 | Long | $0.3700 | $0.3510 | -5.14% |
| Nov 8, 09:00 | Nov 13, 09:00 | Long | $0.4980 | $0.4450 | -10.64% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 14.29% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low PF (0.17) combined with this win rate makes the setup high-variance. Trade cautiously.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Volatility-adjusted sizing: reduce position size when THETA ATR exceeds 150% of average.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for THETA with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Golden Cross generates clear entry/exit signals.
- No parameter optimization needed for THETA.
- Robust across multiple market regimes.
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