CELO 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 |
|---|---|---|---|---|---|
| Dec 7, 17:00 | Dec 10, 08:00 | Long | $0.1700 | $0.1700 | -0.93% |
| Dec 4, 03:00 | Dec 7, 10:00 | Long | $0.1800 | $0.1700 | -6.6% |
| Nov 26, 10:00 | Dec 1, 05:00 | Long | $0.1700 | $0.1500 | -8.07% |
| Nov 8, 09:00 | Nov 13, 03:00 | Long | $0.2500 | $0.2200 | -9.86% |
| Nov 2, 20:00 | Nov 4, 07:00 | Long | $0.2600 | $0.2100 | -16.95% |
| Oct 25, 04:00 | Oct 30, 13:00 | Long | $0.2500 | $0.2300 | -6.23% |
| Oct 2, 07:00 | Oct 10, 14:00 | Long | $0.2800 | $0.3500 | +22.83% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (14.29%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.58x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 7 trades, this is a patient, low-frequency strategy for CELO.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Time-of-day filtering may improve results: analyze when CELO shows strongest Golden Cross response.
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 CELO 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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