JASMY 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 3, 05:00 | Jan 14, 00:00 | Long | $0.006310 | $0.008930 | +41.52% |
| Dec 22, 11:00 | Dec 26, 10:00 | Long | $0.006270 | $0.006060 | -3.35% |
| Dec 10, 02:00 | Dec 12, 07:00 | Long | $0.007240 | $0.006900 | -4.7% |
| Dec 4, 11:00 | Dec 5, 03:00 | Long | $0.007220 | $0.006990 | -3.19% |
| Nov 27, 05:00 | Nov 29, 23:00 | Long | $0.007630 | $0.007210 | -5.5% |
| Nov 8, 08:00 | Nov 13, 03:00 | Long | $0.0101 | $0.009450 | -6.25% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 16.67% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Moderate profit factor (1.43) means discipline is crucial. Avoid overtrading to maintain edge.
The limited 6 sample size suggests viewing this as indicative rather than conclusive.
Consider testing Bollinger Band periods of 18-22 candles for potential JASMY optimization.
The algorithm capitalizes on JASMY's characteristic volatility patterns on the 1h timeframe.
Kelly Criterion suggests moderate position sizing for this edge.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for JASMY with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Trailing stops capture extended JASMY moves.
- Take partial profits at 1.5R for Golden Cross trades.
- Exit at 1h candle close for clean fills.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us