POWR 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 17, 22:00 | Jan 20, 08:00 | Long | $0.0948 | $0.0899 | -5.17% |
| Jan 15, 02:00 | Jan 16, 15:00 | Long | $0.0950 | $0.0928 | -2.32% |
| Dec 27, 21:00 | Jan 12, 17:00 | Long | $0.0813 | $0.0908 | +11.69% |
| Dec 22, 17:00 | Dec 27, 09:00 | Long | $0.0806 | $0.0780 | -3.23% |
| Dec 4, 07:00 | Dec 5, 02:00 | Long | $0.0933 | $0.0906 | -2.89% |
| Nov 26, 14:00 | Dec 1, 23:00 | Long | $0.0895 | $0.0900 | +0.56% |
| Nov 8, 12:00 | Nov 14, 07:00 | Long | $0.1047 | $0.0973 | -7.07% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (28.57%) is common for breakout strategies on volatile assets like POWR. Focus on risk per trade.
Low PF (0.51) combined with this win rate makes the setup high-variance. Trade cautiously.
With only 7 trades, this is a patient, low-frequency strategy for POWR.
Order book analysis suggests POWR has strong support/resistance levels aligning with Golden Cross triggers.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Trend identification is built-in: Golden Cross only triggers when momentum confirms POWR direction.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for POWR 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 POWR.
- Automated execution recommended.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us