AXS 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 2, 19:00 | Jan 12, 14:00 | Long | $0.9070 | $0.9120 | +0.55% |
| Dec 28, 07:00 | Dec 30, 17:00 | Long | $0.8980 | $0.8300 | -7.57% |
| Dec 10, 21:00 | Dec 11, 23:00 | Long | $1.0930 | $1.0500 | -3.93% |
| Dec 4, 10:00 | Dec 5, 19:00 | Long | $1.1160 | $1.0220 | -8.42% |
| Nov 27, 21:00 | Nov 30, 11:00 | Long | $1.1660 | $1.0970 | -5.92% |
| Nov 8, 11:00 | Nov 13, 16:00 | Long | $1.4440 | $1.3120 | -9.14% |
| Oct 25, 04:00 | Oct 29, 07:00 | Long | $1.5950 | $1.5460 | -3.07% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 14.29% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low profit factor (0.01) indicates potential parameter optimization is needed for AXS.
Low activity (7 signals) indicates the Golden Cross waits for high-conviction setups only.
Consider testing Bollinger Band periods of 18-22 candles for potential AXS optimization.
Kelly Criterion suggests minimal position sizing for this edge.
The 1h chart captures AXS's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for AXS with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on AXS.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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