API3 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 26, 08:00 | Jan 27, 13:00 | Long | $0.4090 | $0.3989 | -2.47% |
| Jan 15, 01:00 | Jan 16, 01:00 | Long | $0.4601 | $0.4357 | -5.3% |
| Jan 2, 21:00 | Jan 9, 01:00 | Long | $0.4702 | $0.4594 | -2.3% |
| Dec 22, 14:00 | Dec 30, 20:00 | Long | $0.4368 | $0.4392 | +0.55% |
| Dec 4, 16:00 | Dec 4, 17:00 | Long | $0.5351 | $0.5343 | -0.15% |
| Nov 27, 18:00 | Dec 1, 08:00 | Long | $0.5532 | $0.5064 | -8.46% |
| Nov 9, 01:00 | Nov 13, 16:00 | Long | $0.6605 | $0.6105 | -7.57% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (14.29%) is common for breakout strategies on volatile assets like API3. Focus on risk per trade.
Low profit factor (0.02) indicates potential parameter optimization is needed for API3.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
API3 liquidity levels support clean Golden Cross execution without significant slippage impact.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for API3 with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with API3.
- Automated execution recommended.
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