DOGS 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, 21:00 | Jan 9, 17:00 | Long | $0.00004350 | $0.00004570 | +5.06% |
| Dec 27, 17:00 | Dec 29, 21:00 | Long | $0.00004190 | $0.00004030 | -3.82% |
| Dec 7, 11:00 | Dec 12, 16:00 | Long | $0.00005260 | $0.00004650 | -11.6% |
| Dec 3, 21:00 | Dec 6, 04:00 | Long | $0.00004880 | $0.00004460 | -8.61% |
| Nov 26, 20:00 | Dec 1, 04:00 | Long | $0.00004740 | $0.00004020 | -15.19% |
| Nov 20, 18:00 | Nov 22, 20:00 | Long | $0.00004820 | $0.00004320 | -10.37% |
| Nov 8, 07:00 | Nov 13, 11:00 | Long | $0.00005350 | $0.00004990 | -6.73% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (14.29%) is common for breakout strategies on volatile assets like DOGS. Focus on risk per trade.
The 0.08 ratio warns: this Golden Cross on DOGS requires near-perfect execution to profit.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
This Golden Cross configuration excels in trending DOGS markets. Avoid during extended consolidation.
Consider adaptive parameters that adjust to DOGS's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for DOGS 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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